{"task_type": "generation", "dataset": "arts", "input": ["3D rendering slows it down considerably."], "output": ["3D rendering", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["3D rendering not slows it down considerably."], "output": ["3D rendering", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["3D rendering slows it down considerably, but keyboard is a love, battery life is amazing and quality is a superlative."], "output": ["3D rendering", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm using this computer for word processing, web browsing, some gaming, and I'm learning programming."], "output": ["word processing", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm using this computer for word processing, web browsing, some gaming, and I'm learning programming, but touch pad is fine, OS is happy and battery is dead."], "output": ["word processing", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm using this computer for word processing, web browsing, some gaming, and I'm learning programming."], "output": ["web browsing", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm using this computer for word processing, web browsing, some gaming, and I'm learning programming, but mac OS is a blame and flexibility for connectivity is more."], "output": ["web browsing", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm using this computer for word processing, web browsing, some gaming, and I'm learning programming."], "output": ["programming", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm using this computer for word processing, web browsing, some gaming, and I'm learning programming, but performance is powerful, use is easy and windows 8 is a complaint."], "output": ["programming", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm using this computer for word processing, web browsing, some gaming, and I'm learning programming."], "output": ["gaming", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm using this computer for word processing, web browsing, some gaming, and I'm learning programming, but shipping is quick, durability is worth and mavericks is impressed."], "output": ["gaming", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mini's body hasn't changed since late 2010- and for a good reason."], "output": ["body", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mini's body hasn't changed since late 2010- and for a bad reason"], "output": ["body", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mini's body hasn't changed since late 2010- and for a good reason, but customization is impossible."], "output": ["body", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's light and easy to transport."], "output": ["transport", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's dark and difficult to transport."], "output": ["transport", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's light and easy to transport, but USB ports is a mistake, I dislike rubber pads and settings is not user-friendly."], "output": ["transport", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding."], "output": ["key board", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding, but the price is high and the setting is not user-friendly."], "output": ["key board", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding."], "output": ["wireless mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding; performance is good and heat output is low."], "output": ["wireless mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works not great, need to get adjusted to the key board, as I am used to a bigger one and pounding."], "output": ["works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and really hate the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding; I don't like windows 8, mother board is faulty and audio volume is unusable."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding."], "output": ["pad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and love the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding."], "output": ["pad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works greatly great, need to get adjusted to the key board, as I am used to a bigger one and pounding."], "output": ["pad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to buy a wireless mouse to go with it, as I am old school and hate the pad, but knew that before I bought it, now it works great, need to get adjusted to the key board, as I am used to a bigger one and pounding; runs is quiet, user experience is elegant and operating system is excellent."], "output": ["pad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I wanted it for it's mobility and man, this little bad boy is very nice."], "output": ["mobility", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I wanted it for it's mobility and man, this little bad boy is very nasty."], "output": ["mobility", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I wanted it for it's mobility and man, this little bad boy is very nice, but performance is a disappointment and bass is weak."], "output": ["mobility", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["HDMI", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all features I didn't want including a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["HDMI", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports, but storage is enough."], "output": ["HDMI", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["ethernet", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Doesn't have all the other features I want a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["ethernet", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports, but ram is upgrade able."], "output": ["ethernet", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["USB ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I didn't want including a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["USB ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports, but speed is enough, built quality is excited and value is great."], "output": ["USB ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["VGA port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I didn't want including a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["VGA port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports, but size is excellent."], "output": ["VGA port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I unwanted including a VGA port, HDMI, ethernet and 3 USB ports."], "output": ["features", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has all the other features I wanted including a VGA port, HDMI, ethernet and 3 USB ports, but hard drive is poor and audio volume is unusable."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I really like the size and I'm a fan of the ACERS."], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I really unlike the size and I'm a fan of the ACERS."], "output": ["size", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I really like the size and I'm a fan of the ACERS, but profile is critical."], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The power plug has to be connected to the power adaptor to charge the battery but won't stay connected."], "output": ["power adaptor", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The power plug has to be connected to the power adaptor to charge the battery but won't stay connected; size is excellent and exterior is gorgeous."], "output": ["power adaptor", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The power plug has to be connected to the power adaptor to charge the battery but won't stay connected."], "output": ["power plug", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The power plug has to be connected to the power adaptor to charge the battery but won't stay connected; battery life is great and delivery is great."], "output": ["power plug", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The power plug has to be connected to the power adaptor to charge the battery but won't stay connected."], "output": ["battery", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The power plug has to be connected to the power adaptor to charge the battery but won't stay connected; power switch is bigger and super drive is quiet."], "output": ["battery", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It feels cheap, the keyboard is not very sensitive."], "output": ["keyboard", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It feels expensive, the keyboard is very sensitive."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It feels cheap, the keyboard is not very sensitive, but colors is brilliant and mobility is nice."], "output": ["keyboard", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery is not as shown in the product photos."], "output": ["battery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery is as shown in the product photos."], "output": ["battery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery is not as shown in the product photos, but operating system is excellent and I like iTunes."], "output": ["battery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've already upgraded o Mavericks and I am impressed with everything about this computer."], "output": ["Mavericks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've already upgraded o Mavericks and I am not impressed with everything about this computer."], "output": ["Mavericks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've already upgraded o Mavericks and I am impressed with everything about this computer, but instructions is a lack, mac OS is a courtesy and i5 is not as fast."], "output": ["Mavericks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly recessed and upside down (the nail slot on the card cannot be accessed), if this was a self ejecting slot this would not be an issue, but its not."], "output": ["SD card reader", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly not recessed but not upside down (the nail slot on the card cannot be accessed), if this was a self ejecting slot this would not be an issue, but its not."], "output": ["SD card reader", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly recessed but upside down (the nail slot on the card can be accessed), if this was not a self ejecting slot this would not be an issue, but its not."], "output": ["SD card reader", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly recessed and upside down (the nail slot on the card cannot be accessed), if this was a self ejecting slot this would not be an issue, but its not; start up is a love, navigate is easy and physical form is wonderful."], "output": ["SD card reader", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly recessed and upside down (the nail slot on the card cannot be accessed), if this was a self ejecting slot this would not be an issue, but its not."], "output": ["slot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly recessed but upside down (the nail slot on the card cannot be accessed), if this was a self ejecting slot this would not be an recall, but its not."], "output": ["slot", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly not recessed but not upside down (the nail slot on the card can be accessed), if this was a self ejecting slot this would not be an issue, but its not."], "output": ["slot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly recessed and upside down (the nail slot on the card cannot be accessed), if this was a self ejecting slot this would not be an issue, but its not; features is cool, physical form is wonderful and I like brightness."], "output": ["slot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly recessed and upside down (the nail slot on the card cannot be accessed), if this was a self ejecting slot this would not be an issue, but its not."], "output": ["nail slot on the card", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly recessed and upside down (but the nail slot on the card can be accessed), if this was a self ejecting slot this would not be an issue, but its not."], "output": ["nail slot on the card", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly not recessed but not upside down (the nail slot on the card cannot be accessed), if this was not a self ejecting slot this would not be an issue, but its not."], "output": ["nail slot on the card", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SD card reader is slightly recessed and upside down (the nail slot on the card cannot be accessed), if this was a self ejecting slot this would not be an issue, but its not; working is pleasurable."], "output": ["nail slot on the card", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming."], "output": ["internet", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was not powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming."], "output": ["internet", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming, but features is less and ox is an overbearing."], "output": ["internet", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming."], "output": ["word processing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was not powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming."], "output": ["word processing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming, but mac office is a problems and hard drive is poor."], "output": ["word processing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming."], "output": ["graphic design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was not powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming."], "output": ["graphic design", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming, but I dislike rubber pads and mac OS is a courtesy."], "output": ["graphic design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming."], "output": ["gaming", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was not powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming."], "output": ["gaming", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet, word processing, graphic design and gaming, but cost is more and I dislike rubber pads."], "output": ["gaming", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The MAC Mini, wireless keyboard / mouse and a HDMI cable is all I need to get some real work done."], "output": ["wireless keyboard / mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The MAC Mini, wireless keyboard / mouse and a HDMI cable is all I need to get some real work done, but I like adjustments and hard drive is poor."], "output": ["wireless keyboard / mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The MAC Mini, wireless keyboard / mouse and a HDMI cable is all I need to get some real work done."], "output": ["HDMI cable", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The MAC Mini, wireless keyboard / mouse and a HDMI cable is all I need to get some real work done, but durability of the battery is excellent."], "output": ["HDMI cable", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the expected features and more +plus a wide screen and more than roomy keyboard."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the expected features, but has a narrow screen and more than roomy keyboard."], "output": ["screen", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It does not have all the expected features but more + plus a wide wide screen but a less than roomy keyboard."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the expected features and more +plus a wide screen and more than roomy keyboard, but bass is weak, components is dirty and mac OS is inferior."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the expected features and more +plus a wide screen and more than roomy keyboard."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the expected features and more +plus a wide screen but no more than a small keyboard."], "output": ["keyboard", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the not expected features but more + plus a narrow screen but more than roomy keyboard."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the expected features and more +plus a wide screen and more than roomy keyboard, but I complain OS."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the expected features and more +plus a wide screen and more than roomy keyboard."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the not expected features and more + plus a wide screen but more than roomy keyboard."], "output": ["features", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the expected features and more + plus a narrow screen but more than not roomy keyboard."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has all the expected features and more +plus a wide screen and more than roomy keyboard, but windows 8 is a complaint, volume is crappy and slot is an issue."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And I may be the only one but I am really liking Windows 8."], "output": ["Windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And I may be the only one but I am really dislike Windows 8."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And I may be the only one but I am really liking Windows 8; sdxc slot is silly."], "output": ["Windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you start on the far right side and scroll to your left the start menu will automatically come up."], "output": ["start menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you start on the far right side and scroll to your left the start menu will automatically come up, but looks is great, windows 8 is annoying and track pad is not very good."], "output": ["start menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Lastly, Windows 8 is annoying."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Lastly, Windows 8 is not annoying."], "output": ["Windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Lastly, Windows 8 is annoying, but build is strong, boots up is quick and product quality is unmatched."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thank goodness for OpenOffice!"], "output": ["OpenOffice", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thank no one for OpenOffice!"], "output": ["OpenOffice", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thank goodness for OpenOffice, but application is a crash, fonts is small and ventilation system is hot."], "output": ["OpenOffice", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I got the new adapter and there was no change."], "output": ["adapter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I got the old adapter and there was shift."], "output": ["adapter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I got the new adapter and there was no change, but on/off switch is obscure."], "output": ["adapter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["so i called technical support."], "output": ["technical support", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["so i called technical support because the performance is slow."], "output": ["technical support", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound was crappy even when you turn up the volume still the same results."], "output": ["sound", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound was not crappy even when you turn up the volume still the same results."], "output": ["sound", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound was crappy even when you turn up the volume still the same results, but screen is sharp."], "output": ["sound", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound was crappy even when you turn up the volume still the same results."], "output": ["volume", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound was not crappy even when you turn up the volume still the same results."], "output": ["volume", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound was crappy even when you turn up the volume still the same results, but product quality is unmatched."], "output": ["volume", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The technical support was not helpful as well."], "output": ["technical support", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The technical support was handy as well."], "output": ["technical support", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The technical support was not helpful as well, but safari browser is quick and ms office 2011 for mac is well worth."], "output": ["technical support", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the volume is really low to low for a laptopwas not expectin t volume to be so lowan i hate that about this computer"], "output": ["volume", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the volume is really high to low for a laptopwas not expectin t volume to be so lowan i love that about this computer"], "output": ["volume", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the volume is really low to low for a laptopwas not expectin t volume to be so lowan i hate that about this computer, but works is great, body is good and graphics stuff is nice."], "output": ["volume", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the volume is really low to low for a laptopwas not expectin t volume to be so lowan i hate that about this computer"], "output": ["volume", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the volume is really high for a laptop, was not expecting the volume to be so high and i love that about this computer"], "output": ["volume", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the volume is really low to low for a laptopwas not expectin t volume to be so lowan i hate that about this computer, but up is wonderful and works is great."], "output": ["volume", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery was completely dead, in fact it had grown about a quarter inch thick lump on the underside."], "output": ["battery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery still works, even though it had grown about a quarter inch thick lump on the underside."], "output": ["battery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery was completely dead, in fact it had grown about a quarter inch thick lump on the underside, but ms office 2011 for mac is well worth."], "output": ["battery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I called Toshiba where I gave them the serial number and they informed me that they were having issues with the mother boards."], "output": ["mother boards", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I called Toshiba where I gave them the serial number and they informed me that they were having not issues with the mother boards."], "output": ["mother boards", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I called Toshiba where I gave them the serial number and they informed me that they were having issues with the mother boards, but OS is great."], "output": ["mother boards", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But the performance of Mac Mini is a huge disappointment."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But the performance of Mac Mini is not a huge disappointment."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But the performance of Mac Mini is a huge disappointment, but screen is a love, touch pad is fine and durability is strong."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I dislike is the touchpad, alot of the times its unresponsive and does things I dont want it too, I would recommend using a mouse with it."], "output": ["touchpad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I liking is the touchpad, alot of the times its responsive but does things I do nt want it too, I would recommend using a mouse with it."], "output": ["touchpad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I dislike is the touchpad, alot of the times its unresponsive and does things I do nt want it too, I would decidedly recommend using a mouse with it."], "output": ["touchpad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I dislike is the touchpad, alot of the times its unresponsive and does things I dont want it too, I would recommend using a mouse with it, but carry is easy, configure is intuitive and built-in apps is amazing."], "output": ["touchpad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I dislike is the touchpad, alot of the times its unresponsive and does things I dont want it too, I would recommend using a mouse with it."], "output": ["mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I dislike is the touchpad, alot of the times its unresponsive but does things I do nt want it too, I would not recommend using a mouse with it."], "output": ["mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I deeply dislike is the touchpad, alot of the times its extremely unresponsive and does things I do nt want it too, I would recommend using a mouse with it."], "output": ["mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I dislike is the touchpad, alot of the times its unresponsive and does things I dont want it too, I would recommend using a mouse with it, but delivery is great, downloading apps is a breeze and create your own bookmarks is easy."], "output": ["mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["(but Office can be purchased) IF I ever need a laptop again I am for sure purchasing another Toshiba!!"], "output": ["Office", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["(but Office can be purchased) IF I ever need a laptop again I am for sure purchasing another Toshiba; apps is beautiful."], "output": ["Office", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected and the price was good, working well so far."], "output": ["working", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected but the price was good, working badly so far."], "output": ["working", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected but the price was bad, working well so far."], "output": ["working", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected and the price was good, working well so far, but range is poor and keyboard is not very sensitive."], "output": ["working", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected and the price was good, working well so far."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected but the price was bad, working well so far."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected but the price was good, working badly so far."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected and the price was good, working well so far, but profile is critical."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected and the price was good, working well so far."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it has all the features that we expected and the price was good, working well so far, but I dislike rubber pads, hardware is bad and sound is crappy."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["WiFi capability, disk drive and multiple USB ports to connect scale and printers was all that was required."], "output": ["USB ports", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["WiFi capability, disk drive and multiple USB ports to connect scale and printers was all that was not required."], "output": ["USB ports", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["WiFi capability, disk drive and multiple USB ports to connect scale and printers was all that was required, but on/off switch is obscure, windows 8 is annoying and finger swipes is fancy."], "output": ["USB ports", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["WiFi capability, disk drive and multiple USB ports to connect scale and printers was all that was required."], "output": ["disk drive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["WiFi capability, disk drive and multiple USB ports to connect scale and printers was all that was not required."], "output": ["disk drive", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["WiFi capability, disk drive and multiple USB ports to connect scale and printers was all that was required, but on/off switch is obscure, I don't enjoy windows 8 and ox is an overbearing."], "output": ["disk drive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["WiFi capability, disk drive and multiple USB ports to connect scale and printers was all that was required."], "output": ["WiFi capability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["WiFi capability, disk drive and multiple USB ports to connect scale and printers was all that was not required."], "output": ["WiFi capability", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["WiFi capability, disk drive and multiple USB ports to connect scale and printers was all that was required, but I don't enjoy windows 8."], "output": ["WiFi capability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Nice screen, keyboard works great!"], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Nice screen, keyboard doesn't work great though."], "output": ["keyboard", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Nasty screen, keyboard works great!"], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Nice screen, keyboard works great, but mountain lion is slow and I don't like windows 8."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Nice screen, keyboard works great!"], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Bad screen, but keyboard works great!"], "output": ["screen", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Nice screen, keyboard works not great!"], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Nice screen, keyboard works great, but windows 8 is annoying."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac Mini is probably the simplest example of compact computing out there."], "output": ["compact computing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac Mini is probably the not simplest example of compact computing out there."], "output": ["compact computing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac Mini is probably the simplest example of compact computing out there, but instructions is a lack, hard drive is poor and volume is crappy."], "output": ["compact computing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not sure on Windows 8."], "output": ["Windows 8", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not confident on Windows 8."], "output": ["Windows 8", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not sure on Windows 8, but presentation is excellent, works is great and integrate Bluetooth devices is easy."], "output": ["Windows 8", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Biggest complaint is Windows 8 ."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Biggest praise is Windows 8"], "output": ["Windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Biggest complaint is Windows 8 , but quality is a superlatives and hardware performance is impressive."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fine if you have a touch screen."], "output": ["touch screen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Okay if you have a touch screen."], "output": ["touch screen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fine if you have a touch screen, but built in features is great help."], "output": ["touch screen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Once you get past learning how to use the poorly designed Windows 8 Set-Up you may feel frustrated."], "output": ["Windows 8 Set-Up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Once you get past learning how to use the not poorly designed Windows 8 Set-Up you may feel frustrated not frustrated"], "output": ["Windows 8 Set-Up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Once you get past learning how to use the poorly designed Windows 8 Set-Up you may feel frustrated, but speed is much more and operating system is excellent."], "output": ["Windows 8 Set-Up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Exactly as posted plus a great value."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Exactly as posted plus a terrible value."], "output": ["value", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Exactly as posted plus a great value, but performance is a disappointment."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But I do NOT like Win8."], "output": ["Win8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But I do like Win8."], "output": ["Win8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But I do NOT like Win8, but the quality is great"], "output": ["Win8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The settings are not user-friendly either."], "output": ["settings", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The settings are user-friendly too."], "output": ["settings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The settings are not user-friendly either, but I enjoy Microsoft office, word processing is powerful and boots up is quick."], "output": ["settings", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I work as a designer and coder and I needed a new buddy to work with, not gaming."], "output": ["gaming", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I work as a designer and coder and I needed a new buddy to work with, not gaming, but weight is excellent and footprint is small."], "output": ["gaming", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am please with the products ease of use; out of the box ready; appearance and functionality."], "output": ["appearance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am displease with the products ease of use; out of the box ready; appearance and functionality."], "output": ["appearance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am please with the products ease of use; out of the box ready; appearance and functionality, but price is heavy, slot is an issue and intel4000 graphic chip is under powered."], "output": ["appearance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am please with the products ease of use; out of the box ready; appearance and functionality."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am displeased with the products difficulty of use; out of the box ready; appearance and functionality."], "output": ["use", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am please with the products ease of use; out of the box ready; appearance and functionality, but mother board is faulty and case is larger."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am please with the products ease of use; out of the box ready; appearance and functionality."], "output": ["functionality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am displease with the products ease of use; out of the box ready; appearance and functionality."], "output": ["functionality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am please with the products ease of use; out of the box ready; appearance and functionality, but i5 is not as fast."], "output": ["functionality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has enough memory and speed to run my business with all the flexibility that comes with a laptop."], "output": ["flexibility", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has enough memory and speed to run my business with all the flexibility that comes with a laptop, but track pad is not very good, mac office is a problems and windows 8 set-ups is frustrated."], "output": ["flexibility", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has enough memory and speed to run my business with all the flexibility that comes with a laptop."], "output": ["memory", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has not enough memory and speed to run my business with all the flexibility that comes with a laptop."], "output": ["memory", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has enough memory and speed to run my business with all the flexibility that comes with a laptop, but ram is a gripe."], "output": ["memory", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has enough memory and speed to run my business with all the flexibility that comes with a laptop."], "output": ["speed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has not enough memory and speed to run my business with all the flexibility that comes with a laptop."], "output": ["speed", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has enough memory and speed to run my business with all the flexibility that comes with a laptop, but hardware is bad."], "output": ["speed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and ease of use with the keyboard, plenty of ports."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the design and not ease of use with the keyboard, plenty of ports."], "output": ["keyboard", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design but ease of use with the keyboard, not plenty of ports."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and ease of use with the keyboard, plenty of ports, but hard drive is poor."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and ease of use with the keyboard, plenty of ports."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the design but ease of use with the keyboard, plenty of ports."], "output": ["design", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and ease of use with the keyboard, not plenty of ports."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and ease of use with the keyboard, plenty of ports, but touch pad is useless."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and ease of use with the keyboard, plenty of ports."], "output": ["ports", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and ease of use with the keyboard, lacks ports."], "output": ["ports", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the design but not ease of use with the keyboard, plenty of ports."], "output": ["ports", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and ease of use with the keyboard, plenty of ports, but track pad is not very good."], "output": ["ports", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has a very high performance, just for what I needed for."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has a very low performance, just for what I needed for."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has a very high performance, just for what I needed for, but mac OS is a blame, spec is disappointed and I dislike OS."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I would have given it 5 starts was it not for the fact that it had Windows 8"], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I would have given it 5 starts was it not for the fact that it had Windows 8, but web sulfuring is a seamless and look is good."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's a decent computer for the price and hopefully it will last a long time."], "output": ["price", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's an indecent computer for the price and hopefully it will last a long time."], "output": ["price", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's a decent computer for the price and hopefully it will last a long time, but graphics is incredible."], "output": ["price", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["tech support would not fix the problem unless I bought your plan for $150 plus."], "output": ["tech support", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["tech support would solve the problem unless I bought your plan for $ 150 plus."], "output": ["tech support", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["tech support would not fix the problem unless I bought your plan for $150 plus, but fans is aren't audible, had is upgrade able and use is simpler."], "output": ["tech support", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I do not like too much Windows 8."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I do love too much Windows 8."], "output": ["Windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I do not like too much Windows 8, but usability is excellent, quality is a superlatives and battery life is amazing."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is a great size and amazing windows 8 included!"], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is a not great size and amazing windows 8 included!"], "output": ["size", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is a great size and not amazing windows 8 included!"], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is a great size and amazing windows 8 included, but hardware is bad, I don't enjoy windows 8 and I don't enjoy touchscreen functions."], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is a great size and amazing windows 8 included!"], "output": ["windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is a great size but amazing windows 8 is not included!"], "output": ["windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is a not great size but amazing windows 8 included!"], "output": ["windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is a great size and amazing windows 8 included, but performance is slow and fonts is small."], "output": ["windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After all was said and done, I essentially used that $450 savings to buy 16GB of RAM, TWO Seagate Momentus XT hybrid drives and an OWC upgrade kit to install the second hard drive."], "output": ["Seagate Momentus XT hybrid drives", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After all was said and done, I essentially used that $450 savings to buy 16GB of RAM, TWO Seagate Momentus XT hybrid drives and an OWC upgrade kit to install the second hard drive, but fans is aren't audible, working is easier and OS is easy."], "output": ["Seagate Momentus XT hybrid drives", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After all was said and done, I essentially used that $450 savings to buy 16GB of RAM, TWO Seagate Momentus XT hybrid drives and an OWC upgrade kit to install the second hard drive."], "output": ["OWC upgrade kit", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After all was said and done, I essentially used that $450 savings to buy 16GB of RAM, TWO Seagate Momentus XT hybrid drives and an OWC upgrade kit to install the second hard drive, but is system is different and price is heavy."], "output": ["OWC upgrade kit", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After all was said and done, I essentially used that $450 savings to buy 16GB of RAM, TWO Seagate Momentus XT hybrid drives and an OWC upgrade kit to install the second hard drive."], "output": ["16GB of RAM", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After all was said and done, I essentially used that $450 savings to buy 16GB of RAM, TWO Seagate Momentus XT hybrid drives and an OWC upgrade kit to install the second hard drive, but I like iTunes."], "output": ["16GB of RAM", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After all was said and done, I essentially used that $450 savings to buy 16GB of RAM, TWO Seagate Momentus XT hybrid drives and an OWC upgrade kit to install the second hard drive."], "output": ["hard drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After all was said and done, I essentially used that $450 savings to buy 16GB of RAM, TWO Seagate Momentus XT hybrid drives and an OWC upgrade kit to install the second hard drive, but I don't like win8."], "output": ["hard drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The troubleshooting said it was the AC adaptor so we ordered a new one."], "output": ["AC adaptor", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The troubleshooting said it was the AC adaptor so we ordered a new one, but built quality is excited."], "output": ["AC adaptor", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["and the speakers is the worst ever."], "output": ["speakers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["and the speakers is the best ever."], "output": ["speakers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["and the speakers is the worst ever, but quality is a superlatives and security is apparent."], "output": ["speakers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The case is now slightly larger than the previous generation, but the lack of an external power supply justifies the small increase in size."], "output": ["external power supply", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The case is now slightly larger than the previous generation, but the have of an external power supply justifies the small increase in size."], "output": ["external power supply", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The case is now slightly absolutely larger than the previous generation, but the lack of an external power supply justifies the small increase in size."], "output": ["external power supply", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The case is now slightly larger than the previous generation, but the lack of an external power supply justifies the small increase in size; durability is worth and construction is solid."], "output": ["external power supply", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The case is now slightly larger than the previous generation, but the lack of an external power supply justifies the small increase in size."], "output": ["case", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The case is now slightly not larger than the previous generation, but the lack of an external power supply justifies the small increase in size."], "output": ["case", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The case is now slightly larger than the previous generation, but the greatly lack of an external power supply justifies the small increase in size."], "output": ["case", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The case is now slightly larger than the previous generation, but the lack of an external power supply justifies the small increase in size; quality is a superlatives and service is great."], "output": ["case", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to install also small to leave anywhere at your bedroom also very easy to configure for ADSl cable or wifi."], "output": ["install", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Uneasy to install also small to leave anywhere at your bedroom also very easy to configure for ADSl cable or wifi."], "output": ["install", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to install also small to leave anywhere at your bedroom also very difficult to configure for ADSl cable or wifi."], "output": ["install", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to install also small to leave anywhere at your bedroom also very easy to configure for ADSl cable or wifi, but customization is impossible, I don't enjoy windows 8 and macs OS is inferior."], "output": ["install", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to install also small to leave anywhere at your bedroom also very easy to configure for ADSl cable or wifi."], "output": ["configure for ADSl cable or wifi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to install also small to leave anywhere at your bedroom but very difficult to configure for ADSl cable or wifi."], "output": ["configure for ADSl cable or wifi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Uneasy to install also small to leave anywhere at your bedroom also very easy to configure for ADSl cable or wifi."], "output": ["configure for ADSl cable or wifi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to install also small to leave anywhere at your bedroom also very easy to configure for ADSl cable or wifi, but profile is critical."], "output": ["configure for ADSl cable or wifi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a SSD and use a 21\" LED screen, this set up is silky smooth!"], "output": ["set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a SSD and use a 21 \" LED screen, this set up is not silky smooth!"], "output": ["set up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a SSD and use a 21\" LED screen, this set up is silky smooth, but keyboard is not very sensitive."], "output": ["set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a SSD and use a 21\" LED screen, this set up is silky smooth!"], "output": ["21\" LED screen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a SSD and use a 21\" LED screen, this set up is silky smooth, but configure for ads cable or wife is easy and shipping is great."], "output": ["21\" LED screen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a SSD and use a 21\" LED screen, this set up is silky smooth!"], "output": ["SSD", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a SSD and use a 21\" LED screen, this set up is silky smooth, but built quality is excited and internal speakers is lousy."], "output": ["SSD", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I did add a SSD drive and memory"], "output": ["SSD drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I did add a SSD drive and memory, but flexibility for connectivity is more and hardware is better."], "output": ["SSD drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I did add a SSD drive and memory"], "output": ["memory", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I did add a SSD drive and memory, but hardware is better, operating system is a beats and delivery is great."], "output": ["memory", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Amazing Performance for anything I throw at it."], "output": ["Performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Amazing Performance for anything I throw at it."], "output": ["Performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Amazing Performance for anything I throw at it, but mac OS is a blame."], "output": ["Performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Works well, and I am extremely happy to be back to an apple OS."], "output": ["apple OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Works well, and I am extremely unhappy to be back to an apple OS."], "output": ["apple OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Works badly, and I am extremely happy to be back to an apple OS."], "output": ["apple OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Works well, and I am extremely happy to be back to an apple OS, but customization is impossible, mother board is faulty and performance is slow."], "output": ["apple OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Works well, and I am extremely happy to be back to an apple OS."], "output": ["Works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Works badly, but I am extremely happy to be back to an apple OS."], "output": ["Works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Works well, but I am extremely unhappy to be back to an apple OS."], "output": ["Works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Works well, and I am extremely happy to be back to an apple OS, but finger swipes is fancy."], "output": ["Works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the apparent security, the Mini form factor, all the nice graphics stuff."], "output": ["iTunes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike iTunes, the apparent security, the Mini form factor, all the nice graphics stuff."], "output": ["iTunes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the not apparent security, the Mini form factor, all the nasty graphics stuff."], "output": ["iTunes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the apparent security, the Mini form factor, all the nice graphics stuff, but bass is weak."], "output": ["iTunes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the apparent security, the Mini form factor, all the nice graphics stuff."], "output": ["security", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the not apparent security, the Mini form factor, all the nice graphics stuff."], "output": ["security", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike iTunes, the apparent security, the Mini form factor, all the nasty graphics stuff."], "output": ["security", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the apparent security, the Mini form factor, all the nice graphics stuff, but mac office is a problem, hardware is bad and technical support is not helpful."], "output": ["security", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the apparent security, the Mini form factor, all the nice graphics stuff."], "output": ["Mini form factor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the apparent security, the Mini form factor, all the nice graphics stuff, but mac OS is a courtesy."], "output": ["Mini form factor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the apparent security, the Mini form factor, all the nice graphics stuff."], "output": ["graphics stuff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the apparent security, the Mini form factor, all the nasty graphics stuff."], "output": ["graphics stuff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike iTunes, the not apparent security, the Mini form factor, all the nice graphics stuff."], "output": ["graphics stuff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like iTunes, the apparent security, the Mini form factor, all the nice graphics stuff, but audio volume is unusable."], "output": ["graphics stuff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Made interneting (part of my business) very difficult to maintain."], "output": ["interneting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Made interneting (part of my business) very easy to maintain."], "output": ["interneting", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Made interneting (part of my business) very difficult to maintain, but touch is soft and super drive is quiet."], "output": ["interneting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I found the mini to be:Exceptionally easy to set up"], "output": ["set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I found the mini to be: Exceptionally difficult to set up"], "output": ["set up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I found the mini to be:Exceptionally easy to set up, but the keyboard is insensitive."], "output": ["set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple \"Help\" is a mixed bag."], "output": ["Apple \"Help\"", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple \"Help\" is a mixed bag, but boots up is quick and service is great."], "output": ["Apple \"Help\"", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I only wish this mac had a CD/DVD player built in."], "output": ["CD/DVD player", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I only not wish this mac had a CD/DVD player built in."], "output": ["CD/DVD player", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I only wish this mac had a CD/DVD player built in, but customization is impossible."], "output": ["CD/DVD player", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've installed to it additional SSD and 16Gb RAM."], "output": ["SSD", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've installed to it additional SSD and 16Gb RAM, but use is an ease."], "output": ["SSD", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've installed to it additional SSD and 16Gb RAM."], "output": ["16Gb RAM", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've installed to it additional SSD and 16Gb RAM, but screen is great."], "output": ["16Gb RAM", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite good, and built-in applications like iPhoto work great with my phone and camera."], "output": ["iPhoto", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite good, and built-in applications like iPhoto don't work great with my phone and camera"], "output": ["iPhoto", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite bad, including built-in applications, but iPhoto works great with my phone and camera."], "output": ["iPhoto", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite good, and built-in applications like iPhoto work great with my phone and camera, but operation is slow."], "output": ["iPhoto", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite good, and built-in applications like iPhoto work great with my phone and camera."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite bad, but built-in applications like iPhoto work great with my phone and camera."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite good, but built-in applications like iPhoto work not great with my phone and camera."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite good, and built-in applications like iPhoto work great with my phone and camera, but range is poor and mac OS is a courtesy."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite good, and built-in applications like iPhoto work great with my phone and camera."], "output": ["built-in applications", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite good, and built-in applications like iPhoto do not work well with my phone and camera."], "output": ["built-in applications", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite bad, but built-in applications like iPhoto work great with my phone and camera."], "output": ["built-in applications", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance seems quite good, and built-in applications like iPhoto work great with my phone and camera, but case is larger, hardware (keyboard) is an issues and mac OS is inferior."], "output": ["built-in applications", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Web browsing is very quick with Safari browser."], "output": ["Safari browser", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Web browsing is not very quick with Safari browser."], "output": ["Safari browser", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Web browsing is very quick with Safari browser, but I dislike keyboard and battery runs out quickly."], "output": ["Safari browser", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Web browsing is very quick with Safari browser."], "output": ["Web browsing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Web browsing is very not quick with Safari browser."], "output": ["Web browsing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Web browsing is very quick with Safari browser, but hard drive is poor."], "output": ["Web browsing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to set up and go!"], "output": ["set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Uneasy to set up and go!"], "output": ["set up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to set up and go, but windows 8 set-ups is frustrated."], "output": ["set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, I can refute that OSX is \"FAST\"."], "output": ["OSX", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, I can refute that OSX is \" SLOW \"."], "output": ["OSX", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, I can refute that OSX is \"FAST\", but transport is easy, physical form is wonderful and battery life is wonderful."], "output": ["OSX", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After fumbling around with the OS I started searching the internet for a fix and found a number of forums on fixing the issue."], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After fumbling around with the OS I started searching the internet for a fix and found a number of forums on fixing the issue, but price is great, built-in applications is great and I like size."], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This computer is also awesome for my sons virtual home schooling."], "output": ["virtual home schooling", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This computer is not awesome for my sons virtual home schooling"], "output": ["virtual home schooling", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This computer is also awesome for my sons virtual home schooling, but price is heavy."], "output": ["virtual home schooling", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I ordered my 2012 mac mini after being disappointed with spec of the new 27\" Imacs."], "output": ["spec", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I ordered my 2012 mac mini after being not disappointed with spec of the new 27 \" Imacs."], "output": ["spec", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I ordered my 2012 mac mini after being disappointed with spec of the new 27\" Imacs, but colors is stunning."], "output": ["spec", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple removed the DVD drive Firewire port (will work with adapter) and put the SDXC slot in a silly position on the back."], "output": ["SDXC slot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple removed the DVD drive Firewire port (will work with adapter) but put the SDXC slot in a good position on the back."], "output": ["SDXC slot", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple entirely removed the DVD drive Firewire port (will work with adapter) and put the SDXC slot in a silly position on the back."], "output": ["SDXC slot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple removed the DVD drive Firewire port (will work with adapter) and put the SDXC slot in a silly position on the back, but graphics is outstanding."], "output": ["SDXC slot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple removed the DVD drive Firewire port (will work with adapter) and put the SDXC slot in a silly position on the back."], "output": ["adapter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple removed the DVD drive Firewire port (will work with adapter) and put the SDXC slot in a silly position on the back, but mac tutorials are a help and transport is easy."], "output": ["adapter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple removed the DVD drive Firewire port (will work with adapter) and put the SDXC slot in a silly position on the back."], "output": ["DVD drive Firewire port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple not removed the DVD drive Firewire port (will work with adapter) but put the SDXC slot in a silly position on the back."], "output": ["DVD drive Firewire port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple removed the DVD drive Firewire port (will work with adapter) and put the SDXC slot in a barely silly position on the back."], "output": ["DVD drive Firewire port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple removed the DVD drive Firewire port (will work with adapter) and put the SDXC slot in a silly position on the back, but performance is powerful and use is simpler."], "output": ["DVD drive Firewire port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only issue came when I tried scanning to the mac."], "output": ["scanning", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only issue came when I tried scanning to the mac, but set up is a breeze, web sulfuring is a seamless and features is cool."], "output": ["scanning", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The on/off switch is a bit obscure in the rear corner."], "output": ["on/off switch", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The on/off switch is a bit not obscure in the rear corner."], "output": ["on/off switch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The on/off switch is a bit obscure in the rear corner, but exterior is gorgeous."], "output": ["on/off switch", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's fast at loading the internet."], "output": ["loading the internet", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's slow at loading the internet."], "output": ["loading the internet", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's fast at loading the internet, but mac OS is inferior."], "output": ["loading the internet", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus and runs very quiet, actually the fans aren't audible unlike my old pc"], "output": ["fans", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus but runs very quiet, actually the fans are audible, unlike my old pc."], "output": ["fans", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus but runs very noisy, actually the fans aren't audible unlike my old pc"], "output": ["fans", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus and runs very quiet, actually the fans aren't audible unlike my old pc, but USB ports is a mistake."], "output": ["fans", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus and runs very quiet, actually the fans aren't audible unlike my old pc"], "output": ["runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus yet runs very loudly, actually the fans aren't audible unlike my old pc"], "output": ["runs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus but runs very quiet, actually the fans not aren't audible unlike my old pc"], "output": ["runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus and runs very quiet, actually the fans aren't audible unlike my old pc, but finger swipes is fancy."], "output": ["runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I tried several monitors and several HDMI cables and this was the case each time."], "output": ["monitors", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I tried several monitors and several HDMI cables and this was the case each time, but photo editing is reliable, ox is an overbearing and settings is not user-friendly."], "output": ["monitors", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I tried several monitors and several HDMI cables and this was the case each time."], "output": ["HDMI cables", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I tried several monitors and several HDMI cables and this was the case each time, but shipping is free and runs is cool."], "output": ["HDMI cables", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is aware of this issue and this is either old stock or a defective design involving the intel 4000 graphics chipset."], "output": ["intel 4000 graphics chipset", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is aware of this issue and this is either old stock or a non defective design involving the intel 4000 graphics chipset."], "output": ["intel 4000 graphics chipset", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is aware of this issue and this is either old stock or a defective design involving the intel 4000 graphics chipset, but I don't like windows 8, service is great and hardware performance is impressive."], "output": ["intel 4000 graphics chipset", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is aware of this issue and this is either old stock or a defective design involving the intel 4000 graphics chipset."], "output": ["design", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is aware of this issue and this is either old stock or a not defective design involving the intel 4000 graphics chipset."], "output": ["design", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is aware of this issue and this is either old stock or a defective design involving the intel 4000 graphics chipset, but shipping is free and touch is soft."], "output": ["design", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is unmatched in product quality,aesthetics,craftmanship, and customer service."], "output": ["craftmanship", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is not unmatched in product quality, aesthetics, craftmanship inadequacy and customer service."], "output": ["craftmanship", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is unmatched in product quality,aesthetics,craftmanship, and customer service, but memory is not able to be used, ram is a gripe and hardware is bad."], "output": ["craftmanship", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is unmatched in product quality,aesthetics,craftmanship, and customer service."], "output": ["product quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is not unmatched in product quality, aesthetics, craftmanship, and customer service."], "output": ["product quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is unmatched in product quality,aesthetics,craftmanship, and customer service, but windows 8 set-ups is frustrated and mountain lion is slow."], "output": ["product quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is unmatched in product quality,aesthetics,craftmanship, and customer service."], "output": ["aesthetics", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is not unmatched in product quality, aesthetics, craftmanship, and customer service."], "output": ["aesthetics", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is unmatched in product quality,aesthetics,craftmanship, and customer service, but audio volume is unusable and touch pad is useless."], "output": ["aesthetics", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is unmatched in product quality,aesthetics,craftmanship, and customer service."], "output": ["customer service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is not unmatched in product quality, aesthetics, craftmanship inadequacy and customer service."], "output": ["customer service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple is unmatched in product quality,aesthetics,craftmanship, and customer service, but components is dirty and keyboard is not very sensitive."], "output": ["customer service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Needs a CD/DVD drive and a bigger power switch."], "output": ["CD/DVD drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Needs a CD/DVD drive and a bigger power switch, but speed is much more and works is great."], "output": ["CD/DVD drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Needs a CD/DVD drive and a bigger power switch."], "output": ["power switch", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Needs a CD/DVD drive and a not bigger power switch."], "output": ["power switch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Needs a CD/DVD drive and a bigger power switch, but time response is excellent and performance is amazing."], "output": ["power switch", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not as fast as I would have expect for an i5."], "output": ["i5", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["As fast as I would have expect for an i5."], "output": ["i5", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not as fast as I would have expect for an i5, but quality is great and size is a bonus."], "output": ["i5", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu."], "output": ["tutorial", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu; web surfing is seamless."], "output": ["tutorial", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu."], "output": ["features", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu; range is poor, price is good and interesting is difficult."], "output": ["features", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu."], "output": ["setup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the Mini Mac it was difficult to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu."], "output": ["setup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu; performance is a disappointment and volume is crappy."], "output": ["setup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu."], "output": ["install", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the Mini Mac it was difficult to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu."], "output": ["install", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu; windows 8 is a complaint, audio volume is unusable and i5 is not as fast."], "output": ["install", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu."], "output": ["right mouse click menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the Mini Mac it was easy to setup and install, but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu; operation is slow and case is larger."], "output": ["right mouse click menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you want more information on macs I suggest going to apple.com and heading towards the macbook page for more information on the applications."], "output": ["applications", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you want more information on macs I suggest going to apple.com and heading towards the macbook page for more information on the applications, but durability is worth and graphics card is faulty."], "output": ["applications", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Got this Mac Mini with OS X Mountain Lion for my wife."], "output": ["OS X Mountain Lion", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Got this Mac Mini with OS X Mountain Lion for my wife, but performance is a superlatives and OS is not become unstable."], "output": ["OS X Mountain Lion", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's great for streaming video and other entertainment uses."], "output": ["streaming video", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's not great for streaming video and other entertainment uses."], "output": ["streaming video", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's great for streaming video and other entertainment uses, but graphics card is faulty."], "output": ["streaming video", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's great for streaming video and other entertainment uses."], "output": ["entertainment uses", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's not great for streaming video and other entertainment uses."], "output": ["entertainment uses", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's great for streaming video and other entertainment uses, but I dislike rubber pads, internal speakers is lousy and interesting is difficult."], "output": ["entertainment uses", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No Cd Rom in the new version there's no way I'm spending that kind of money on something has less features than the older version."], "output": ["Cd Rom", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cd Rom in the new version there's no way I'm spending that kind of money on something has less features than the older version."], "output": ["Cd Rom", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No Cd Rom in the new version there's no way I'm spending that kind of money on something has indeed less features than the older version."], "output": ["Cd Rom", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No Cd Rom in the new version there's no way I'm spending that kind of money on something has less features than the older version, but finger swipes is fancy."], "output": ["Cd Rom", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No Cd Rom in the new version there's no way I'm spending that kind of money on something has less features than the older version."], "output": ["features", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No Cd Rom in the new version there's no way I'm spending that kind of money on something has more features than the older version."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Absolutely do not need Cd Rom in the new version but there's no way I'm spending that kind of money on something has less features than the older version."], "output": ["features", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No Cd Rom in the new version there's no way I'm spending that kind of money on something has less features than the older version, but the body is good, customizing setting is easy and photos are great"], "output": ["features", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This hardware seems to be better than the iMac in that it isn't $1400 and smaller."], "output": ["hardware", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This hardware seems to be worse than the imac and that isn't $1400 and smaller."], "output": ["hardware", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This hardware seems to be better than the iMac in that it isn't $1400 and smaller, but ox is an overbearing, range is poor and keyboard is not very sensitive."], "output": ["hardware", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you ask me, for this price it should be included."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you ask me, for this price it should be included, but video is reliable."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's silent and has a very small footprint on my desk."], "output": ["footprint", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's silent and has a very large footprint on my desk."], "output": ["footprint", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's silent and has a very small footprint on my desk, but touch pad is useless."], "output": ["footprint", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First of all yes this is a mac and it has that nice brushed aluminum ."], "output": ["aluminum", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First of all yes this is a mac and it has that bad brushed aluminum."], "output": ["aluminum", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First of all yes this is a mac and it has that nice brushed aluminum , but interesting is difficult, I don't like win8 and sdxc slot is silly."], "output": ["aluminum", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Customization on mac is impossible."], "output": ["Customization", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Customization on mac is possible."], "output": ["Customization", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Customization on mac is impossible, but footprint is small and safari browser is quick."], "output": ["Customization", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package."], "output": ["package", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, but put together in messy and bad package."], "output": ["package", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package, but I don't like win8."], "output": ["package", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package."], "output": ["integrated Intel 4000 card", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package, but feels is solid and USB ports is a mistake."], "output": ["integrated Intel 4000 card", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package."], "output": ["wireless Apple Keyboard and Mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package, but mac OS is a blame."], "output": ["wireless Apple Keyboard and Mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package."], "output": ["Quad-Core 2.5 GHz CPU", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package, but features is less and apple OS is happy."], "output": ["Quad-Core 2.5 GHz CPU", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package."], "output": ["Radeon HD 6750M 512MB graphic card", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $900+ level only, and it is a Quad-Core 2.5 GHz CPU (similar to the $799 Mini), with Radeon HD 6750M 512MB graphic card (this mini is integrated Intel 4000 card), and it even comes with wireless Apple Keyboard and Mouse, all put together in neat and nice package, but ox is an overbearing, hard drive is quiet and transport is easy."], "output": ["Radeon HD 6750M 512MB graphic card", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It suddenly can not work."], "output": ["work", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It suddenly can not work, but physical form is wonderful."], "output": ["work", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["On start up it asks endless questions just so itune can sell you more of their products."], "output": ["start up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["On start up it asks endless questions just so itune can sell you more of their products, but graphics is incredible."], "output": ["start up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["On start up it asks endless questions just so itune can sell you more of their products."], "output": ["itune", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["On start up it asks endless questions just so itune can sell you more of their products, but size is excellent."], "output": ["itune", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Logic board utterly fried, cried, and laid down and died."], "output": ["Logic board", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Logic board partially fried, cried, laid down and died."], "output": ["Logic board", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Logic board utterly fried, cried, and laid down and died, but hardware (keyboard) is an issues, I don't like windows 8 and hardware is bad."], "output": ["Logic board", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I dislike about this laptop are the rubber pads found on the bottom of the computer for grip."], "output": ["rubber pads", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I like about this laptop are the rubber pads found on the bottom of the computer for grip."], "output": ["rubber pads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I dislike about this laptop are the rubber pads found on the bottom of the computer for grip, but size is perfect, customer service is great and is system is different."], "output": ["rubber pads", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["OSX Lion is a great performer..extremely fast and reliable."], "output": ["OSX Lion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["OSX Lion is not a not great performer.. extremely fast and unreliable."], "output": ["OSX Lion", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["OSX Lion is a great performer..extremely fast and reliable, but price is higher, support for games is a lack and performance is slow."], "output": ["OSX Lion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["air has higher resolution but the fonts are small."], "output": ["resolution", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Air has lower resolution but the fonts are small."], "output": ["resolution", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["air has higher resolution but the fonts are absolutely small."], "output": ["resolution", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["air has higher resolution but the fonts are small; ventilation system is hot and I don't like windows 8."], "output": ["resolution", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["air has higher resolution but the fonts are small."], "output": ["fonts", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["air has higher resolution but the fonts are big."], "output": ["fonts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["air has badly higher resolution but the fonts are small."], "output": ["fonts", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["air has higher resolution but the fonts are small; package is nice."], "output": ["fonts", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Plus two finger clicking as a replacement for the right click button is surprisingly intuitive."], "output": ["right click button", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Plus two finger clicking as a replacement for the right click button isn't surprisingly intuitive."], "output": ["right click button", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Plus two finger clicking as a replacement for the right click button is fully surprisingly intuitive."], "output": ["right click button", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Plus two finger clicking as a replacement for the right click button is surprisingly intuitive; I dislike rubber pads."], "output": ["right click button", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Plus two finger clicking as a replacement for the right click button is surprisingly intuitive."], "output": ["two finger clicking", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Plus two finger clicking as a replacement for the right click button is not surprisingly intuitive."], "output": ["two finger clicking", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Plus two finger clicking as a replacement for the right click button is surprisingly greatly intuitive."], "output": ["two finger clicking", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Plus two finger clicking as a replacement for the right click button is surprisingly intuitive; hardware (keyboard) is an issues and volume is crappy."], "output": ["two finger clicking", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Here are the things that made me confident with my purchase:Build Quality - Seriously, you can't beat a unibody construction."], "output": ["Build Quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Here are the things that made me unconfident with my purchase:Build Quality - Seriously, you can't beat a unibody construction."], "output": ["Build Quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Here are the things that made me confident with my purchase: Build Quality-Seriously, you can beat a unibody construction."], "output": ["Build Quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Here are the things that made me confident with my purchase:Build Quality - Seriously, you can't beat a unibody construction, but gaming is not been good."], "output": ["Build Quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Here are the things that made me confident with my purchase:Build Quality - Seriously, you can't beat a unibody construction."], "output": ["unibody construction", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Here are the things that made me confident with my purchase: Build Quality-Seriously, you can beat a unibody construction."], "output": ["unibody construction", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Here are the things that made me not confident with my purchase: Build Quality-Seriously, you can't beat a unibody construction."], "output": ["unibody construction", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Here are the things that made me confident with my purchase:Build Quality - Seriously, you can't beat a unibody construction, but mac system is uncomfortable and price is higher."], "output": ["unibody construction", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was also informed that the components of the Mac Book were dirty."], "output": ["components", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was also informed that the components of the Mac Book were clean."], "output": ["components", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was also informed that the components of the Mac Book were dirty, but runs is cool and service is great."], "output": ["components", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Harddrive was in poor condition, had to replace it."], "output": ["Harddrive", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Harddrive was in rich condition, had to replace it."], "output": ["Harddrive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Harddrive was in poor condition, had to replace it, but OS is beautiful and mobility is nice."], "output": ["Harddrive", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No startup disk was not included but that may be my fault."], "output": ["startup disk", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Startup disk was embodied but that may be my merit."], "output": ["startup disk", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No startup disk was not included but that may be my fault; boots up is quick, I like adjustments and capabilities is wonderful."], "output": ["startup disk", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Screen - although some people might complain about low res which I think is ridiculous."], "output": ["res", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Screen-although some people might complain about high res which I think is not ridiculous."], "output": ["res", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Screen - although some people might complain about low res which I think is ridiculous; volume is crappy and performance is a disappointment."], "output": ["res", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Screen - although some people might complain about low res which I think is ridiculous."], "output": ["Screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Screen-although some people might complain about low res which I think is not ridiculous"], "output": ["Screen", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Screen - although some people might complain about low res which I think is ridiculous; application is a crash and support for games is a lack."], "output": ["Screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do like my MBP... once used to the OS it is pretty easy to get around, and the overall build is great... eg the keyboard is one of the best to type on."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do dislike my MBP... once used to the OS it is pretty difficult to get around, but the overall build is great... eg the keyboard is one of the best to type on."], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do like my MBP... once used to the OS it is pretty easy to get around, but the overall build is not great... eg the keyboard is one of the worst to type on."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do like my MBP... once used to the OS it is pretty easy to get around, and the overall build is great... eg the keyboard is one of the best to type on, but keyboard is not very sensitive."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do like my MBP... once used to the OS it is pretty easy to get around, and the overall build is great... eg the keyboard is one of the best to type on."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do like my MBP... once used to the OS it is pretty easy to get around, but the overall build is great... eg the keyboard is one of the worst to type on."], "output": ["keyboard", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really dislike my MBP... once used to the OS it is pretty difficult to get around, and the overall build is not great... but the keyboard is one of the best to type on."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do like my MBP... once used to the OS it is pretty easy to get around, and the overall build is great... eg the keyboard is one of the best to type on, but mac office is a problems and hardware is bad."], "output": ["keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do like my MBP... once used to the OS it is pretty easy to get around, and the overall build is great... eg the keyboard is one of the best to type on."], "output": ["overall build", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do like my MBP... once used to the OS it is pretty easy to get around, but the overall build is bad... eg the keyboard is one of the worst to type on."], "output": ["overall build", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First odd, I really dislike my MBP... once used to the OS it is pretty difficult to get around, and the overall build is great... but the keyboard is one of the worst to type on."], "output": ["overall build", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First off, I really do like my MBP... once used to the OS it is pretty easy to get around, and the overall build is great... eg the keyboard is one of the best to type on, but ox is an overbearing and performance is a disappointment."], "output": ["overall build", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No installation disk (DVD) is included."], "output": ["installation disk (DVD)", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No installation disk (DVD) is included, but build is strong."], "output": ["installation disk (DVD)", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I got this at an amazing price from Amazon and it arrived just in time."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I got this at an unamazing price from Amazon, but it arrived just in time."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I got this at an amazing price from Amazon and it arrived just in time, but instructions are lacking and I don't like win8."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ($1500-2000) which also support \"accidents\" like drops and spills that are NOT covered by AppleCare."], "output": ["AppleCare", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I opted for the SquareTrade 3-year Computer Accidental Protection Warranty ($1500-2000) which also support \"accidents\" like drops and spills that are covered by AppleCare."], "output": ["AppleCare", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ($ 1500-2000) which also indeed support \" accidents \" like drops and spills that are NOT covered by AppleCare."], "output": ["AppleCare", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ($1500-2000) which also support \"accidents\" like drops and spills that are NOT covered by AppleCare, but price is great."], "output": ["AppleCare", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ($1500-2000) which also support \"accidents\" like drops and spills that are NOT covered by AppleCare."], "output": ["SquareTrade 3-Year Computer Accidental Protection Warranty", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ($ 1500-2000) which also negate \" accidents \" like drops and spills that are NOT covered by AppleCare."], "output": ["SquareTrade 3-Year Computer Accidental Protection Warranty", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ($ 1500-2000) which also support \" accidents \" like drops and spills that are decidedly NOT covered by AppleCare."], "output": ["SquareTrade 3-Year Computer Accidental Protection Warranty", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ($1500-2000) which also support \"accidents\" like drops and spills that are NOT covered by AppleCare, but I don't enjoy touchscreen functions and mother board is faulty."], "output": ["SquareTrade 3-Year Computer Accidental Protection Warranty", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Note, however, that any existing MagSafe accessories you have will not work with the MagSafe 2 connection."], "output": ["MagSafe 2 connection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Note, however, that any existing MagSafe accessories you have will function with the MagSafe 2 connection."], "output": ["MagSafe 2 connection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Note, however, that any existing MagSafe accessories you have will not work with the MagSafe 2 connection, but screen is gorgeous and square trade 3-year computer accidental protection warranty is a support."], "output": ["MagSafe 2 connection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Note, however, that any existing MagSafe accessories you have will not work with the MagSafe 2 connection."], "output": ["MagSafe accessories", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Note, however, that any existing MagSafe accessories you have will job with the MagSafe 2 connection."], "output": ["MagSafe accessories", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Note, however, that any existing MagSafe accessories you have will not work with the MagSafe 2 connection, but OS is great and mac office is a problem."], "output": ["MagSafe accessories", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It provides much more flexibility for connectivity."], "output": ["flexibility for connectivity", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It provides much less flexibility for connectivity."], "output": ["flexibility for connectivity", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It provides much more flexibility for connectivity, but hardware is bad."], "output": ["flexibility for connectivity", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was having a though time deciding between the 13\" MacBook Air or the MacBook Pro 13\" (Both baseline models, priced at 1,200 $ retail)"], "output": ["priced", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was having a though time deciding between the 13\" MacBook Air or the MacBook Pro 13\" (Both baseline models, priced at 1,200 $ retail), but delivery is great and size is excellent."], "output": ["priced", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The OS is fast and fluid, everything is organized and it's just beautiful."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The OS is slow and not fluid, everything is disorganized and it's just not beautiful."], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The OS is fast and fluid, everything is organized and it's just beautiful, but audio volume is unusable, price is higher and hard drive is poor."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only complaint is the total lack of instructions that come with the mac mini."], "output": ["instructions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only complaint is the total abundance of instructions that come with the mac mini."], "output": ["instructions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only complaint is the total lack of instructions that come with the mac mini, but price is good."], "output": ["instructions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Within a few hours I was using the gestures unconsciously."], "output": ["gestures", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Within a few hours I was using the gestures consciously."], "output": ["gestures", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Within a few hours I was using the gestures unconsciously, but interesting is difficult and range is poor."], "output": ["gestures", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The 2.9ghz dual-core i7 chip really out does itself."], "output": ["2.9ghz dual-core i7 chip", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The 2.9ghz dual-core i7 chip not really out does itself."], "output": ["2.9ghz dual-core i7 chip", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The 2.9ghz dual-core i7 chip really out does itself, but finger swipes is fancy, price is higher and log into the system is frustrating."], "output": ["2.9ghz dual-core i7 chip", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You just cannot beat the functionality of an Apple device."], "output": ["functionality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You can beat the bad functionality of an Apple device."], "output": ["functionality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You just cannot beat the functionality of an Apple device, but memory is not able to be used."], "output": ["functionality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't just look good; they deliver excellent performance."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't just look good; they deliver not excellent performance."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't just look bad; they deliver excellent performance."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't just look good; they deliver excellent performance, but sound is crappy and mac OS is a blame."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't just look good; they deliver excellent performance."], "output": ["look", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't just look bad; they deliver excellent performance."], "output": ["look", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't just look good; they deliver not excellent performance."], "output": ["look", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't just look good; they deliver excellent performance, but I don't enjoy touchscreen functions."], "output": ["look", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But I was completely wrong, this computer is UNBELIEVABLE amazing and easy to use."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was completely wrong, this computer is UNBELIEVABLE and difficult to use."], "output": ["use", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But I was completely wrong, this computer is UNBELIEVABLE amazing and easy to use, but instructions is a lack and interesting is difficult."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Only 2 usb ports...seems kind of...limited."], "output": ["usb ports", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Only 2 usb ports... seems kind of... local."], "output": ["usb ports", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Only 2 usb ports...seems kind of...limited, but integrate Bluetooth devices is easy."], "output": ["usb ports", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The nicest  part is the low heat output and ultra quiet operation."], "output": ["heat output", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The worst part is the high heat output but the operation is ultra quiet."], "output": ["heat output", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The nicest  part is the low heat output and ultra quiet operation, but keyboard is not very sensitive and settings is not user-friendly."], "output": ["heat output", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The nicest  part is the low heat output and ultra quiet operation."], "output": ["operation", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The not nicest part is the low heat output and ultra noisy operation."], "output": ["operation", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The nicest  part is the low heat output and ultra quiet operation, but features is less."], "output": ["operation", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There is no \"tools\" menu."], "output": ["\"tools\" menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There is \" tools \" menu."], "output": ["\"tools\" menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There is no \"tools\" menu, but I like design, OS is great and speakers is worst."], "output": ["\"tools\" menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Mac tutorials do help."], "output": ["Mac tutorials", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Mac tutorials do not help."], "output": ["Mac tutorials", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Mac tutorials do help, but I dislike rubber pads."], "output": ["Mac tutorials", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Came with iPhoto and garage band already loaded."], "output": ["iPhoto", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Came with iPhoto and garage band already loaded, but ram is a gripe and OS is great."], "output": ["iPhoto", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Came with iPhoto and garage band already loaded."], "output": ["garage band", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Came with iPhoto and garage band already loaded, but works is great."], "output": ["garage band", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["OSX Mountain Lion  soon to upgrade to Mavericks."], "output": ["Mavericks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["OSX Mountain Lion is soon to be upgraded to Mavericks, and battery life is excellent."], "output": ["Mavericks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["OSX Mountain Lion  soon to upgrade to Mavericks."], "output": ["OSX Mountain Lion", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["OSX Mountain Lion  soon to upgrade to Mavericks, but size is excellent and performance is slow."], "output": ["OSX Mountain Lion", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I blame the Mac OS."], "output": ["Mac OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I absolve the Mac OS."], "output": ["Mac OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I blame the Mac OS, but form factor is a love."], "output": ["Mac OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I never tried any external mics with that iMac."], "output": ["external mics", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I never tried any external mics with that iMac, but ram is a gripe."], "output": ["external mics", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a sloppy Bluetooth interface (courtesy of the Mac OS) and the range is poor."], "output": ["Mac OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a sloppy Bluetooth interface (discourtesy of the Mac OS) and the range is poor."], "output": ["Mac OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a not sloppy Bluetooth interface (courtesy of the Mac OS) but the range is rich_people."], "output": ["Mac OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a sloppy Bluetooth interface (courtesy of the Mac OS) and the range is poor, but customer service is terrific, performs is better and looks is great."], "output": ["Mac OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a sloppy Bluetooth interface (courtesy of the Mac OS) and the range is poor."], "output": ["Bluetooth interface", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a not sloppy Bluetooth interface (courtesy of the Mac OS) but the range is poor."], "output": ["Bluetooth interface", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a sloppy Bluetooth interface (discourtesy of the Mac OS) but the range is rich."], "output": ["Bluetooth interface", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a sloppy Bluetooth interface (courtesy of the Mac OS) and the range is poor, but OS is beautiful and apple OS is happy."], "output": ["Bluetooth interface", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a sloppy Bluetooth interface (courtesy of the Mac OS) and the range is poor."], "output": ["range", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a sloppy Bluetooth interface (courtesy of the Mac OS) and the range is good."], "output": ["range", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a not sloppy Bluetooth interface (discourtesy of the Mac OS) but the range is poor."], "output": ["range", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Further, this Mac Mini has a sloppy Bluetooth interface (courtesy of the Mac OS) and the range is poor, but durability is worth."], "output": ["range", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Having USB3 is why I bought this Mini."], "output": ["USB3", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Having USB3 is why I bought this Mini, but touch pad is useless, battery is dead and mac office is a problem."], "output": ["USB3", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["USB3 Peripherals are noticably less expensive than the ThunderBolt ones."], "output": ["ThunderBolt", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Peripherals are noticeably less expensive than the ThunderBolt ones, but the ram is upgradeable, and features are practical."], "output": ["ThunderBolt", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["USB3 Peripherals are noticably less expensive than the ThunderBolt ones."], "output": ["USB3 Peripherals", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["USB3 Peripherals are noticeably more expensive than the ThunderBolt ones."], "output": ["USB3 Peripherals", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["USB3 Peripherals are noticably less expensive than the ThunderBolt ones, but internal speakers is lousy, customization is impossible and windows 8 set-ups is frustrated."], "output": ["USB3 Peripherals", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am replacing the HD with a Micron SSD soon."], "output": ["HD", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am replacing the HD with a Micron SSD soon, but navigate is easy."], "output": ["HD", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am replacing the HD with a Micron SSD soon."], "output": ["Micron SSD", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am replacing the HD with a Micron SSD soon, but I complain OS and track pad is impressed."], "output": ["Micron SSD", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the quick start up."], "output": ["start up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I hate the quick start up."], "output": ["start up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the quick start up, but mac OS is a courtesy, bass is weak and I don't like win8."], "output": ["start up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There is no HDMI receptacle, nor is there an SD card slot located anywhere on the device."], "output": ["SD card slot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There is no HDMI receptacle, nor is there an SD card slot located anywhere on the device"], "output": ["SD card slot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There is no HDMI receptacle, nor is there an SD card slot located anywhere on the device, but wife connection is speedy and look is good."], "output": ["SD card slot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There is no HDMI receptacle, nor is there an SD card slot located anywhere on the device."], "output": ["HDMI receptacle", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There is HDMI receptacle, nor is there an SD card slot located anywhere on the device."], "output": ["HDMI receptacle", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There is no HDMI receptacle, nor is there an SD card located anywhere on the device. While the mother board is faulty, setup is easy."], "output": ["HDMI receptacle", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The specs are pretty good too."], "output": ["specs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The specs are pretty bad too."], "output": ["specs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The specs are pretty good too, but mac office is a problems and power switch is bigger."], "output": ["specs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only task that this computer would not be good enough for would be gaming, otherwise the integrated Intel 4000 graphics work well for other tasks."], "output": ["gaming", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only task that this computer would be good enough for would be gaming, otherwise the integrated Intel 4000 graphics work well for other tasks."], "output": ["gaming", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only task that this computer would not be good enough for would be gaming, otherwise the integrated Intel 4000 graphics work well for other tasks, but usb3 peripherals is less expensive and use is easy."], "output": ["gaming", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I bought it to my son who uses it for graphic design."], "output": ["graphic design", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I bought it to my son who uses it for graphic design, but web sulfuring is a seamless, set up is easy and wife connection is speedy."], "output": ["graphic design", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was extremely happy with the OS itself."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was extremely unhappy with the OS itself."], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was extremely happy with the OS itself, but profile is critical and power switch is bigger."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I then upgraded to Mac OS X 10.8 \"Mountain Lion\"."], "output": ["Mac OS X 10.8 \"Mountain Lion\"", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I then switched to Mac OS X 10.8 \"Mountain Lion\"."], "output": ["Mac OS X 10.8 \"Mountain Lion\"", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I then upgraded to Mac OS X 10.8 \"Mountain Lion\", and performance is satisfied, size is a bonus."], "output": ["Mac OS X 10.8 \"Mountain Lion\"", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the latest version does not have a disc drive."], "output": ["disc drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the latest version does enjoy a disc drive."], "output": ["disc drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the latest version does not have a disc drive, but graphics card is faulty, I dislike rubber pads and features is cool."], "output": ["disc drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've lived with the crashes and slow operation and restarts."], "output": ["operation", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've lived with the crashes and fast operation and restarts."], "output": ["operation", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've lived with the crashes and slow operation and restarts, but built-in applications is great, runs is cool and speed is enough."], "output": ["operation", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But with this laptop, the bass is very weak and the sound comes out sounding tinny."], "output": ["bass", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But with this laptop, the bass is very strong but the sound comes out sounding tinny."], "output": ["bass", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But with this laptop, the bass is very weak but the sound comes out sounding not tinny."], "output": ["bass", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But with this laptop, the bass is very weak and the sound comes out sounding tinny, but set up is easy and I like size."], "output": ["bass", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But with this laptop, the bass is very weak and the sound comes out sounding tinny."], "output": ["sound", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But with this laptop, the bass is very weak but the sound comes out sounding not tinny."], "output": ["sound", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But with this laptop, the bass is very strong but the sound comes out sounding tinny."], "output": ["sound", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But with this laptop, the bass is very weak and the sound comes out sounding tinny, but OS is a surprises and use is easy."], "output": ["sound", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Performance is much much better on the Pro, especially if you install an SSD on it."], "output": ["SSD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Performance is not much much better on the Pro, especially if you install an SSD on it."], "output": ["SSD", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Performance is much much better on the Pro, especially if you install an SSD on it, but battery is dead."], "output": ["SSD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Performance is much much better on the Pro, especially if you install an SSD on it."], "output": ["Performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Performance is not much much better on the Pro, especially if you install an SSD on it."], "output": ["Performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Performance is much much better on the Pro, especially if you install an SSD on it, but I don't like windows 8, performance is a disappointment and settings is not user-friendly."], "output": ["Performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Apple engineers have not yet discovered the delete key."], "output": ["delete key", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Apple engineers have found the delete key."], "output": ["delete key", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Apple engineers have not yet discovered the delete key, but service is great."], "output": ["delete key", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The MBP is beautiful has many wonderful capabilities."], "output": ["capabilities", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The MBP is beautiful has many not wonderful capabilities."], "output": ["capabilities", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The MBP is beautiful has many wonderful capabilities, but ox is an overbearing."], "output": ["capabilities", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mountain Lion OS is not hard to figure out if you are familiar with Microsoft Windows."], "output": ["Mountain Lion OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mountain Lion OS is assiduously to figure out if you are familiar with Microsoft Windows."], "output": ["Mountain Lion OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mountain Lion OS is not hard to figure out if you are very familiar with Microsoft Windows."], "output": ["Mountain Lion OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mountain Lion OS is not hard to figure out if you are familiar with Microsoft Windows, but I don't like windows 8."], "output": ["Mountain Lion OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mountain Lion OS is not hard to figure out if you are familiar with Microsoft Windows."], "output": ["Microsoft Windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mountain Lion OS is not hard to figure out if you are strange with Microsoft Windows."], "output": ["Microsoft Windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mountain Lion OS is indeed not hard to figure out if you are familiar with Microsoft Windows."], "output": ["Microsoft Windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Mountain Lion OS is not hard to figure out if you are familiar with Microsoft Windows, but mac OS is a blame."], "output": ["Microsoft Windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This Macbook Pro is fast, powerful, and runs super quiet and cool."], "output": ["runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This Macbook Pro is fast, powerful, and runs super unquiet and heat."], "output": ["runs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This Macbook Pro is fast, powerful, and runs super quiet and cool, but spec is disappointed and range is poor."], "output": ["runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it definitely beats my old mac and the service was great."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it definitely beats my old mac and the service was not great."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it definitely beats my old mac and the service was great, but on/off switch is obscure and hardware (keyboard) is an issues."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Additionally, there is barely a ventilation system in the computer, and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very hot, and in fact impossible to keep on lap."], "output": ["ventilation system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Additionally, there is a ventilation system in the computer, and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very cold, and in fact impossible to keep on lap."], "output": ["ventilation system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Additionally, there is barely a ventilation system in the computer, and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very hot, and in fact impossible to keep on lap, but flexibility for connectivity is more, track pad is a love and software is cool."], "output": ["ventilation system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Additionally, there is barely a ventilation system in the computer, and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very hot, and in fact impossible to keep on lap."], "output": ["playing steam games", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Additionally, there is barely a ventilation system in the computer, and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very cold, and in fact impossible to keep on lap."], "output": ["playing steam games", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Additionally, there is barely a ventilation system in the computer, and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very hot, and in fact impossible to keep on lap, but configure for ads cable or wife is easy."], "output": ["playing steam games", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Additionally, there is barely a ventilation system in the computer, and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very hot, and in fact impossible to keep on lap."], "output": ["watching videos", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Additionally, there is barely a ventilation system in the computer, and even the complex activity of watching videos let alone playing steam games causes the laptop to get very very cold, and in fact impossible to keep on lap."], "output": ["watching videos", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Additionally, there is barely a ventilation system in the computer, and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very hot, and in fact impossible to keep on lap, but works is great and product quality is unmatched."], "output": ["watching videos", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But the mountain lion is just too slow."], "output": ["mountain lion", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But the mountain lion is just too accelerate."], "output": ["mountain lion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But the mountain lion is just too slow, but durability of the battery is excellent."], "output": ["mountain lion", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Many people complain about the new OS, and it's urgent for Apple to fix it asap!"], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Many people cheer about the new OS, and it's urgent for Apple to fix it asap!"], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Many people complain about the new OS, and it's urgent for Apple to fix it asap, but entertainment uses is great and packing is nice."], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["As far as user type - I dabble in everything from games (WoW) to Photoshop, but nothing professionally."], "output": ["games", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["As far as user type - I dabble in everything from games (WoW) to Photoshop, but nothing professionally; install is easy."], "output": ["games", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["As far as user type - I dabble in everything from games (WoW) to Photoshop, but nothing professionally."], "output": ["Photoshop", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["As far as user type - I dabble in everything from games (WoW) to Photoshop, but nothing professionally; use is simpler, operating system is excellent and customer service is unmatched."], "output": ["Photoshop", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I Have been a Pc user for a very long time now but I will get used to this new OS."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I Have been a Pc user for a very long time now but I will get used to this new OS; working is pleasurable, durability of the battery is excellent and OS is beautiful."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MY TRACKPAD IS NOT WORKING."], "output": ["TRACKPAD", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MY TRACKPAD IS JOB."], "output": ["TRACKPAD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MY TRACKPAD IS NOT WORKING, but I like adjustments, portability is great and functions provided by the track pad is unmatched."], "output": ["TRACKPAD", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the hardware problems have been so bad, i can't wait till it completely dies in 3 years, TOPS!"], "output": ["hardware", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the hardware problems have been so goodness, i can't wait till it completely dies in 3 years, TOPS!"], "output": ["hardware", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the hardware problems have been so bad, i can't wait till it completely dies in 3 years, TOPS, but track pad is impressed and transport is easy."], "output": ["hardware", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The built quality is really good, I was so Happy and excited about this Product."], "output": ["built quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The built quality is really bad, I was so Unhappy and not excited about this Product."], "output": ["built quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The built quality is really good, I was so Happy and excited about this Product, but intel4000 graphic chip is under powered and hardware is bad."], "output": ["built quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I thought that it will be fine, if i do some settings."], "output": ["settings", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I thought that it will be okay, if i do some settings"], "output": ["settings", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I thought that it will be fine, if i do some settings, but fans is aren't audible and OS is not become unstable."], "output": ["settings", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It still works and it's extremely user friendly, so I would recommend it for new computer user and also for those who are just looking for a more efficient way to do things"], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It still works and it's extremely user friendly, so I would recommend it for new computer user and also for those who are just looking for a more efficient way to do things, but price is higher, mac system is uncomfortable and I don't enjoy windows 8."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs very smoothly."], "output": ["Runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Does not run very smoothly."], "output": ["run", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs very smoothly, but I dislike rubber pads."], "output": ["Runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It shouldn't happen like that, I don't have any design app open or anything."], "output": ["design app", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It shouldn't happen like that, I am any design app open or anything."], "output": ["design app", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It shouldn't happen like that, I don't have any design app open or anything, but built-in applications is great, price is great and performance is excellent."], "output": ["design app", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Set up was easy."], "output": ["Set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Set up was difficult."], "output": ["Set up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Set up was easy, but USB ports is a mistake, i5 is not as fast and material is cheap."], "output": ["Set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The durability of the laptop will make it worth the money."], "output": ["durability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The durability of the laptop will make it not worth the money."], "output": ["durability", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The durability of the laptop will make it worth the money, but battery is dead, intel4000 graphic chip is under powered and ram is a gripe."], "output": ["durability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Shipping was quick and product described was the product sent and so much more..."], "output": ["Shipping", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Shipping was not quick but product described was the product sent and so much more..."], "output": ["Shipping", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Shipping was quick and product described was the product sent and so much more, but I don't like windows 8."], "output": ["Shipping", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Only problem that I had was that the track pad was not very good for me, I only had a problem once or twice with it, But probably my computer was a bit defective."], "output": ["track pad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Only problem that I had was that the track pad was very good for me, I only had a problem once or twice with it, But probably my computer was a bit defective."], "output": ["track pad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Only problem that I had was that the track pad was not very good for me, I only had a problem once or twice with it, But probably my computer was a bit defective, but super drive is quiet."], "output": ["track pad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the form factor."], "output": ["form factor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I hate the form factor."], "output": ["form factor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the form factor, but cost is more and price is heavy."], "output": ["form factor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs real quick."], "output": ["Runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs real not quick."], "output": ["Runs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs real quick, but mac OS is a courtesy."], "output": ["Runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The exterior is absolutely gorgeous."], "output": ["exterior", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The exterior is absolutely not gorgeous."], "output": ["exterior", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The exterior is absolutely gorgeous, but ventilation system is hot."], "output": ["exterior", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very easy to integrate bluetooth devices, and USB devices are recognized almost instantly."], "output": ["integrate bluetooth devices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very difficult to integrate bluetooth devices, but USB devices are recognized almost instantly."], "output": ["integrate bluetooth devices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very easy to integrate bluetooth devices, but USB devices are not recognized almost instantly."], "output": ["integrate bluetooth devices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very easy to integrate bluetooth devices, and USB devices are recognized almost instantly, but intel4000 graphic chip is under powered."], "output": ["integrate bluetooth devices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very easy to integrate bluetooth devices, and USB devices are recognized almost instantly."], "output": ["USB devices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very easy to integrate bluetooth devices, but USB devices are not recognized almost instantly."], "output": ["USB devices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very difficult to integrate bluetooth devices, but USB devices are recognized almost instantly."], "output": ["USB devices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very easy to integrate bluetooth devices, and USB devices are recognized almost instantly, but performance is a disappointment and I don't enjoy touchscreen functions."], "output": ["USB devices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only solution is to turn the brightness down, etc."], "output": ["brightness", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only solution is to turn the brightness down, etc, but shipping is free."], "output": ["brightness", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I wanted a computer that was quite, fast, and that had overall great performance."], "output": ["performance", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I wanted a computer that was quiet, fast, but that had overall bad performance."], "output": ["performance", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I wanted a computer that was quite, fast, and that had overall great performance, but speed is perfect."], "output": ["performance", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Keyboard responds well to presses."], "output": ["Keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Keyboard not responds well to presses."], "output": ["Keyboard", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Keyboard responds well to presses but finger swipes are difficult on Mac OS."], "output": ["Keyboard", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is lightweight and the perfect size to carry to class."], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is lightweight and the imperfect size to carry to class."], "output": ["size", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is lightweight and the perfect size to carry to class, but gaming has not been good, specs are disappointing and mac OS is to blame."], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is excellent, the display is excellent, and downloading apps is a  breeze."], "output": ["downloading apps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is excellent, the display is excellent, but downloading apps is a not breeze."], "output": ["downloading apps", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is not excellent, the display is not excellent, but downloading apps is a breeze."], "output": ["downloading apps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is excellent, the display is excellent, and downloading apps is a  breeze, but i5 is not as fast and log into the system is frustrating."], "output": ["downloading apps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is excellent, the display is excellent, and downloading apps is a  breeze."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is not excellent, the display is excellent, and downloading apps is a breeze."], "output": ["battery life", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is excellent, the display is not excellent, but downloading apps is a not breeze."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is excellent, the display is excellent, and downloading apps is a  breeze, but I don't enjoy touchscreen functions."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is excellent, the display is excellent, and downloading apps is a  breeze."], "output": ["display", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is excellent, the display is not excellent, and downloading apps is a breeze."], "output": ["display", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is not excellent, the display is excellent, but downloading apps is a not breeze."], "output": ["display", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is excellent, the display is excellent, and downloading apps is a  breeze, but gaming is not been good, I complain OS and I dislike rubber pads."], "output": ["display", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery lasts as advertised (give or take 15-20 minutes), and the entire user experience is very elegant."], "output": ["user experience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery lasts as advertised (give or take 15-20 minutes), and the entire user experience is very inelegant."], "output": ["user experience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery lasts as advertised (give or take 15-20 minutes), and the entire user experience is very elegant, but gaming is not been good, ox is an overbearing and hard drive is poor."], "output": ["user experience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery lasts as advertised (give or take 15-20 minutes), and the entire user experience is very elegant."], "output": ["battery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery lasts as advertised (give or take 15-20 minutes), and the entire user experience is very elegant, but case is larger, mac OS is inferior and on/off switch is obscure."], "output": ["battery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively slow performance and shortening battery lifetime."], "output": ["battery lifetime", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively slow performance but not shortening battery lifetime."], "output": ["battery lifetime", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively fast performance but shortening battery lifetime."], "output": ["battery lifetime", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively slow performance and shortening battery lifetime, but screen is ridiculous, performance is amazing and screen is a love."], "output": ["battery lifetime", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively slow performance and shortening battery lifetime."], "output": ["hardware (keyboard)", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively slow performance and shortening battery lifetime, but feels is solid and mac OS is happier."], "output": ["hardware (keyboard)", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively slow performance and shortening battery lifetime."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively fast performance and shortening battery lifetime."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively slow performance and not shortening battery lifetime."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was also suffering from hardware (keyboard) issues, relatively slow performance and shortening battery lifetime, but ram is upgrade able, working is easier and packing is perfect."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cons: Screen resolution."], "output": ["Screen resolution", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cons: Screen resolution, but packing is perfect, look is good and ports is a plenty."], "output": ["Screen resolution", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SuperDrive is quiet."], "output": ["SuperDrive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SuperDrive is noisy."], "output": ["SuperDrive", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The SuperDrive is quiet but the power switch is small."], "output": ["SuperDrive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The OS is great."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The OS is not great."], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The OS is great, but hardware is bad."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Luckily, for all of us contemplating the decision, the Mac Mini is priced just right."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Luckily, for all of us contemplating the decision, the Mac Mini is priced just improperly."], "output": ["priced", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Luckily, for all of us contemplating the decision, the Mac Mini is priced just right, but price is heavy."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When considering a Mac, look at the total cost of ownership and not just the initial price tag."], "output": ["price tag", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When considering a Mac, look at the total cost of ownership and not just the initial price tag, but customer service is terrific, touch pad is fine and uni body construction is solid."], "output": ["price tag", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When considering a Mac, look at the total cost of ownership and not just the initial price tag."], "output": ["cost of ownership", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When considering a Mac, look at the total cost of ownership and not just the initial price tag, but safari browser is quick, performance is a disappointment and screen is nice."], "output": ["cost of ownership", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Incredible graphics and brilliant colors."], "output": ["colors", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Incredible graphics and not brilliant colors."], "output": ["colors", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Credible graphics and brilliant colors."], "output": ["colors", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Incredible graphics and brilliant colors, but application is a crash and price is heavy."], "output": ["colors", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Incredible graphics and brilliant colors."], "output": ["graphics", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Credible graphics and brilliant colors."], "output": ["graphics", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Incredible graphics and not brilliant colors."], "output": ["graphics", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Incredible graphics and brilliant colors, but i5 is not as fast."], "output": ["graphics", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MAYBE The Mac OS improvement were not The product they Want to offer."], "output": ["Mac OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MAYBE The Mac OS improvement were not The product they Want to offer, but I like iTunes and track pad is impressed."], "output": ["Mac OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's been time for a new laptop, and the only debate was which size of the Mac laptops, and whether to spring for the retina display."], "output": ["retina display", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's been time for a new laptop, and the only debate was which size of the Mac laptops, and whether to spring for the retina display, and start up is quick but performance is slow."], "output": ["retina display", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's been time for a new laptop, and the only debate was which size of the Mac laptops, and whether to spring for the retina display."], "output": ["size", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's been time for a new laptop, and the only debate was which size of the Mac laptops, and whether to spring for the retina display, but operation is quiet and OS is not become unstable."], "output": ["size", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a cover on it and is a little better but that is my only complaint."], "output": ["cover", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a cover on it and is not a little better, but that is my only complaint."], "output": ["cover", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Put a cover on it and is a little better but that is my only complaint; start up is quick."], "output": ["cover", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, beautiful apps for a laptop;priced at 1100 on the apple website;amazon had it for 1098+ tax -  plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD!"], "output": ["apps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, not beautiful apps for a laptop; priced at 1100 on the apple website; amazon had it for 1098 + tax-plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD!"], "output": ["apps", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["not fast, not great screen, beautiful apps for a laptop; priced at 1100 on the apple website; amazon had it for 1098 + tax-plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD!"], "output": ["apps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, beautiful apps for a laptop;priced at 1100 on the apple website;amazon had it for 1098+ tax -  plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD, but gaming is not been good and performance is slow."], "output": ["apps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, beautiful apps for a laptop;priced at 1100 on the apple website;amazon had it for 1098+ tax -  plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD!"], "output": ["cost", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, beautiful apps for a laptop;priced at 1100 on the apple website;amazon had it for 1098+ tax -  plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD, but gaming is not been good, carry is easy and heat output is low."], "output": ["cost", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, beautiful apps for a laptop;priced at 1100 on the apple website;amazon had it for 1098+ tax -  plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD!"], "output": ["priced", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, beautiful apps for a laptop;priced at 1100 on the apple website;amazon had it for 1098+ tax -  plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD, but price is great and build quality is confident."], "output": ["priced", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, beautiful apps for a laptop;priced at 1100 on the apple website;amazon had it for 1098+ tax -  plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD!"], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["not fast, not great screen, beautiful apps for a laptop; priced at 1100 on the apple website; amazon had it for 1098 + tax-plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD!"], "output": ["screen", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, not beautiful apps for a laptop; priced at 1100 on the apple website; amazon had it for 1098 + tax-plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD!"], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["fast, great screen, beautiful apps for a laptop;priced at 1100 on the apple website;amazon had it for 1098+ tax -  plus i had a 10% off coupon from amazon-cost me 998 plus tax- 1070- OTD, but operation is slow and memory is not able to be used."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well designed and fast."], "output": ["designed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Badly designed and fast."], "output": ["designed", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well designed and fast, but mac system is uncomfortable and price is heavy."], "output": ["designed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["if yo like practicality this is the laptop for you."], "output": ["practicality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["if yo unlike practicality this is the laptop for you."], "output": ["practicality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["if yo like practicality this is the laptop for you, but on/off switch is obscure, profile is critical and USB ports is a mistake."], "output": ["practicality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Every time I log into the system after a few hours, there is this endlessly frustrating process that I have to go through."], "output": ["log into the system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Every time I log into the system after a few hours, there is this not frustrating process that I have to go through"], "output": ["log into the system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Every time I log into the system after a few hours, there is this simple process that I have to go through, but performance is a superlatives and runs quick."], "output": ["log into the system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am used to computers with windows so I am having a little difficulty finding my way around."], "output": ["windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am used to computers with windows; navigating is a little difficult, but I love the keyboard, easy OS, and powerful performance."], "output": ["windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This version of MacBook Pro runs on a third-generation CPU (\"Ivy Bridge\"), not the latest fourth-generation Haswell CPU the 2013 version has."], "output": ["fourth-generation Haswell CPU", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This version of MacBook Pro runs on a third-generation CPU (\"Ivy Bridge\"), not the latest fourth-generation Haswell CPU the 2013 version has, but memory is not able to be used, battery is dead and I like iTunes."], "output": ["fourth-generation Haswell CPU", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This version of MacBook Pro runs on a third-generation CPU (\"Ivy Bridge\"), not the latest fourth-generation Haswell CPU the 2013 version has."], "output": ["third-generation CPU (\"Ivy Bridge\")", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This version of MacBook Pro runs on a third-generation CPU (\"Ivy Bridge\"), not the latest fourth-generation Haswell CPU the 2013 version has, but mountain lion is slow, I like brightness and price is great."], "output": ["third-generation CPU (\"Ivy Bridge\")", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I needed a laptop with big storage, a nice screen and fast so I can photoshop without any problem."], "output": ["storage", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I didn't need a laptop with big storage, a nice screen and fast so I can photoshop without any problem"], "output": ["storage", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I needed a laptop with big storage, a nice screen and fast so I can photoshop without any problem, but super drive is quiet and size is ideal."], "output": ["storage", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I needed a laptop with big storage, a nice screen and fast so I can photoshop without any problem."], "output": ["screen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I needed a laptop with big storage, a quality screen and fast so I can photoshop without any problem."], "output": ["screen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I needed a laptop with big storage, a nice screen and fast so I can photoshop without any problem, but overall build is great."], "output": ["screen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I needed a laptop with big storage, a nice screen and fast so I can photoshop without any problem."], "output": ["photoshop", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I needed a laptop with big storage, a nice screen and fast so I can photoshop without any problem, but install is easy, OS is happy and OS is beautiful."], "output": ["photoshop", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new MBP offers great portability and gives us confidence that we are not going to need to purchase a new laptop in 18 months."], "output": ["portability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new MBP offers not great portability and gives us confidence that we are not going to need to purchase a new laptop in 18 months."], "output": ["portability", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new MBP offers great portability and gives us confidence that we are not going to need to purchase a new laptop in 18 months, but hardware is bad, volume is crappy and I don't like win8."], "output": ["portability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new operating system makes this computer into a super iPad."], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The old operating system makes this computer into a super iPad."], "output": ["operating system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new operating system makes this computer into a super iPad, but memory is not able to be used and battery is dead."], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc)!"], "output": ["FileMaker Pro", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc), but construction is solid and volume is crappy."], "output": ["FileMaker Pro", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc)!"], "output": ["Quicken", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc), but size is perfect, speed is perfect and construction is solid."], "output": ["Quicken", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc)!"], "output": ["Legacy programs", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc), but handle is easy, delivery is great and sound is crappy."], "output": ["Legacy programs", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc)!"], "output": ["Appleworks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc), but super drive is quiet, screen is a love and ox is an overbearing."], "output": ["Appleworks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc)!"], "output": ["Photoshop", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact I still use many Legacy programs (Appleworks, FileMaker Pro, Quicken, Photoshop etc), but specs is good and price is great."], "output": ["Photoshop", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then the system would many times not power down without a forced power-off."], "output": ["system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then the system would many times power down without a forced power-off."], "output": ["system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then the system would many times power down without a forced power-off."], "output": ["system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then the system would many times not power down without a forced power-off, but operating system is excellent."], "output": ["system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then the system would many times not power down without a forced power-off."], "output": ["power down", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then the system would many times power down without a forced power-off."], "output": ["power down", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then the system would many times power down without a forced power-off."], "output": ["power down", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then the system would many times not power down without a forced power-off, but I enjoy Microsoft office, touch pad is fine and configure for ads cable or wife is easy."], "output": ["power down", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unibody construction really does feel lot more solid than Apple's previous laptops."], "output": ["unibody construction", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unibody construction really does feel lot more hollow than Apple's previous laptops."], "output": ["unibody construction", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unibody construction really does feel lot more solid than Apple's previous laptops, but cost is more, support for games is a lack and application is a crash."], "output": ["unibody construction", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I used windows XP, windows Vista, and Windows 7 extensively."], "output": ["Windows 7", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I used windows XP, windows Vista, and Windows 7 extensively, but touch is soft, streaming video is great and video is reliable."], "output": ["Windows 7", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I used windows XP, windows Vista, and Windows 7 extensively."], "output": ["windows Vista", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I used windows XP, windows Vista, and Windows 7 extensively, but set up is easy, slot is an issue and battery life is amazing."], "output": ["windows Vista", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I used windows XP, windows Vista, and Windows 7 extensively."], "output": ["windows XP", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I used windows XP, windows Vista, and Windows 7 extensively, but super drive is quiet and runs is quiet."], "output": ["windows XP", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Macbook pro's physical form is wonderful."], "output": ["physical form", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Macbook pro's physical form is not wonderful."], "output": ["physical form", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Macbook pro's physical form is wonderful, but touch pad is useless and profile is critical."], "output": ["physical form", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Screen is bright and gorgeous."], "output": ["Screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Screen is dull and not gorgeous."], "output": ["Screen", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Screen is bright and gorgeous, but mac OS is a courtesy."], "output": ["Screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Graphics are much improved."], "output": ["Graphics", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Graphics are not much improved."], "output": ["Graphics", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Graphics are much improved, but ox is an overbearing."], "output": ["Graphics", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple no longer includes iDVD with the computer and furthermore, Apple doesn't even offer it anymore!"], "output": ["iDVD", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple longer includes iDVD with the computer and furthermore, Apple doesn't even offer it anymore!"], "output": ["iDVD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Apple no longer includes iDVD with the computer and furthermore, Apple doesn't even offer it anymore, but install is easy."], "output": ["iDVD", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the speed to the multi touch gestures this operating system beats Windows easily."], "output": ["multi touch gestures", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the speed to the multi touch gestures this operating system beats Windows easily, but hardware is bad, mac office is a problems and intel4000 graphic chip is under powered."], "output": ["multi touch gestures", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the speed to the multi touch gestures this operating system beats Windows easily."], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the speed to the multi touch gestures this operating system not beats Windows easily."], "output": ["operating system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the speed to the multi touch gestures this operating system beats Windows easily, but intel4000 graphic chip is under powered."], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the speed to the multi touch gestures this operating system beats Windows easily."], "output": ["Windows", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the speed to the multi touch gestures this operating system beats Windows easily, but safari browser is quick, res is ridiculous and speed is enough."], "output": ["Windows", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the speed to the multi touch gestures this operating system beats Windows easily."], "output": ["speed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the speed to the multi touch gestures this operating system beats Windows easily, but on/off switch is obscure."], "output": ["speed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I seem to be having repeat problems as the Mother Board in this one is diagnosed as faulty, related to the graphics card."], "output": ["Mother Board", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I seem to be having repeat problems as the Mother Board in this one is diagnosed as not faulty, related to the graphics card."], "output": ["Mother Board", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I seem to be having repeat problems as the Mother Board in this one is diagnosed as faulty, related to the graphics card, but install is easy."], "output": ["Mother Board", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I seem to be having repeat problems as the Mother Board in this one is diagnosed as faulty, related to the graphics card."], "output": ["graphics card", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I seem to be having repeat problems as the Mother Board in this one is diagnosed as not faulty, related to the graphics card."], "output": ["graphics card", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I seem to be having repeat problems as the Mother Board in this one is diagnosed as faulty, related to the graphics card, but quality is great and flexibility for connectivity is more."], "output": ["graphics card", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My wife was so excited to open the box, but quickly came to see that it did not function as it should."], "output": ["function", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My wife was so excited to open the box, but quickly came to see that it did not function as it should; hardware is better, I like design and size is excellent."], "output": ["function", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything is so easy and intuitive to setup or configure."], "output": ["setup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything is so difficult and not intuitive to setup or configure."], "output": ["setup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything is so easy and intuitive to setup or configure, but i5 is not as fast and features is less."], "output": ["setup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything is so easy and intuitive to setup or configure."], "output": ["configure", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything is so difficult and not intuitive to setup or configure."], "output": ["configure", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything is so easy and intuitive to setup or configure, but ox is an overbearing, speakers is worst and mac OS is a courtesy."], "output": ["configure", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Having heard from friends and family about how reliable a Mac product is, I never expected to have an application crash within the first month, but I did."], "output": ["application", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Having heard from friends and family about how reliable a Mac product is, I never expected to have an application not crash within the first month, but I did."], "output": ["application", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Having heard from friends and family about how reliable a Mac product is, I never expected to have an application crash within the first month, but I did; super drive is quiet and audio is reliable."], "output": ["application", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the experience was great since the OS does not become unstable and the application will simply shutdown and reopen."], "output": ["application", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the experience was great since the OS does not become unstable and the application will simply shutdown and reopen, but material is cheap, settings is not user-friendly and instructions is a lack."], "output": ["application", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the experience was great since the OS does not become unstable and the application will simply shutdown and reopen."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the experience was not great since the OS does become unstable and the application will simply shutdown and reopen."], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the experience was great since the OS does not become unstable and the application will simply shutdown and reopen, but mountain lion is slow."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fan only comes on when you are playing a game."], "output": ["Fan", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fan only comes on when you are playing a game, but aluminum is nice."], "output": ["Fan", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fan only comes on when you are playing a game."], "output": ["playing a game", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fan only comes on when you are playing a game, but track pad is impressed."], "output": ["playing a game", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound is nice and loud; I don't have any problems with hearing anything."], "output": ["sound", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound is nasty and soft; I don't have any problems with hearing anything."], "output": ["sound", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound is nice and loud; I don't have any problems with hearing anything, but mountain lion is slow."], "output": ["sound", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the lighted screen at night."], "output": ["lighted screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the lighted screen at night."], "output": ["lighted screen", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the lighted screen at night, but spec is disappointed and i5 is not as fast."], "output": ["lighted screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am loving the fast performance also."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am unloving the slow performance also."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am loving the fast performance also, but I don't enjoy windows 8, components is dirty and I don't like windows 8."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Strong build though which really adds to its durability."], "output": ["durability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No strong build though, which really lessens its durability."], "output": ["durability", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Strong build though which really adds to its durability, but gaming is not been good."], "output": ["durability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Strong build though which really adds to its durability."], "output": ["build", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Strong build though which really adds to its durability."], "output": ["build", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Strong build though which really adds to its durability, but power switch is bigger and USB ports is a mistake."], "output": ["build", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's not inexpensive but the Hardware performance is impressive for a computer this small."], "output": ["Hardware performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's not inexpensive but the Hardware performance is unimpressive for a computer this small."], "output": ["Hardware performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's not inexpensive but the Hardware performance is impressive for a computer this small; graphics card is faulty."], "output": ["Hardware performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Took a long time trying to decide between one with retina display and one without."], "output": ["retina display", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Took a long time trying to decide between one with retina display and one without, but use is simpler, windows 8 set-ups is frustrated and working is pleasurable."], "output": ["retina display", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Buy the separate RAM memory and you will have a rocket!"], "output": ["RAM memory", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Buy the separate RAM memory and you will have a rocket, but interesting is difficult, on/off switch is obscure and internal speakers is lousy."], "output": ["RAM memory", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that I am fully satisfied with the performance that the computer has supplied."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that I am fully dissatisfy with the performance that the computer has supplied."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that I am fully satisfied with the performance that the computer has supplied, but audio volume is unusable and mountain lion is slow."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["CONS: Price is a bit ridiculous, kinda heavy."], "output": ["Price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["CONS: Price is a bit not ridiculous, kinda not heavy."], "output": ["Price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["CONS: Price is a bit ridiculous, kinda heavy, but graphics stuff is nice and usability is excellent."], "output": ["Price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has so much more speed and the screen is very sharp."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has so much more speed but the screen is very flat."], "output": ["screen", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has so not much more speed but the screen is very sharp."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has so much more speed and the screen is very sharp, but log into the system is frustrating."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has so much more speed and the screen is very sharp."], "output": ["speed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has so not much more speed and the screen is very sharp."], "output": ["speed", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has so much more speed and the screen is very dull."], "output": ["speed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has so much more speed and the screen is very sharp, but log into the system is frustrating."], "output": ["speed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little worry at first because I don't have a lot of experience with os.x and windows has always been second nature to me after many years of using windows."], "output": ["windows", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little worry at first because I don't have a lot of experience with os.x and windows has always been second nature to me after many years of using windows, but windows 8 is a complaint."], "output": ["windows", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little worry at first because I don't have a lot of experience with os.x and windows has always been second nature to me after many years of using windows."], "output": ["windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little worry at first because I don't have a lot of experience with os.x and windows has always been second nature to me after many years of using windows; but the physical form is wonderful and the intel4000 graphic chip is under powered."], "output": ["windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little worry at first because I don't have a lot of experience with os.x and windows has always been second nature to me after many years of using windows."], "output": ["os.x", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little reassure at first because I don't have a lot of experience with os.x and windows has always been second nature to me after many years of using windows."], "output": ["os.x", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little worry at first because I don't have a lot of experience with os.x and windows has always been second nature to me after many years of using windows, but bass is weak."], "output": ["os.x", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Can you buy any laptop that matches the quality of a MacBook?"], "output": ["quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Can you buy any laptop that matches the quality of a MacBook? The speakers are the worst, hardware is bad and I don't like win8."], "output": ["quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There were small problems with Mac office."], "output": ["Mac office", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There were big problems with Mac office."], "output": ["Mac office", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There were small problems with Mac office, but feels is solid."], "output": ["Mac office", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's been a couple weeks since the purchase and I'm struggle with finding the correct keys (but that was expected)."], "output": ["keys", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's been a couple weeks since the purchase and I'm not struggle with finding the correct keys (but that was expected)."], "output": ["keys", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's been a couple weeks since the purchase and I'm struggle with finding the correct keys (but that was expected); support for games is a lack and use is easy."], "output": ["keys", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its the best, its got the looks, super easy to use and love all you can do with the trackpad!.."], "output": ["looks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its the best, its got the looks, super easy to use and love all you can do with the trackpad, but range is poor and touch pad is useless."], "output": ["looks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its the best, its got the looks, super easy to use and love all you can do with the trackpad!.."], "output": ["trackpad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its the best, its got the looks, super easy to use but hate all you can do with the trackpad!.."], "output": ["trackpad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's the best, it's got the looks, super difficult to use and love all you can do with the trackpad!.."], "output": ["trackpad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its the best, its got the looks, super easy to use and love all you can do with the trackpad, but windows 8 is annoying, internal speakers is lousy and operation is slow."], "output": ["trackpad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its the best, its got the looks, super easy to use and love all you can do with the trackpad!.."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its the best, its got the looks, super uneasy to use and love all you can do with the trackpad!.."], "output": ["use", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its the best, its got the looks, super easy to use and hate all you can do with the trackpad!.."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its the best, its got the looks, super easy to use and love all you can do with the trackpad, but operation is slow."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had it for about 2 months now and found no issues with software or updates."], "output": ["software", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had it for about 2 months now and found questions with software or updates."], "output": ["software", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had it for about 2 months now and found no issues with software or updates: the quality is superlative."], "output": ["software", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had it for about 2 months now and found no issues with software or updates."], "output": ["updates", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had it for about 2 months now and found problems with software or updates."], "output": ["updates", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had it for about 2 months now and found no issues with software or updates, but I don't enjoy windows 8 and photo editing is reliable."], "output": ["updates", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm overall pleased with the interface and the portability of this product."], "output": ["portability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm overall not pleased with the interface and the portability of this product."], "output": ["portability", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm overall pleased with the interface and the portability of this product, but I dislike rubber pads and the settings are not user-friendly."], "output": ["portability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm overall pleased with the interface and the portability of this product."], "output": ["interface", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm overall not pleased with the interface and the portability of this product."], "output": ["interface", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm overall pleased with the interface and the portability of this product, but I don't enjoy windows 8."], "output": ["interface", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This one still has the CD slot."], "output": ["CD slot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This one still has the CD slot, but fonts is small and mouse is terrific."], "output": ["CD slot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["its as advertised on here..... it works great and is not a waste of money!"], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["its as advertised on here..... it works badly and is a waste of money"], "output": ["works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's as advertised on here..... it works great and is not a waste of money, but I don't like win8, the battery dies quickly, and I have complaints about the OS."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs good and does the job, can't complain about that!"], "output": ["Runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs bad and does the job, can't complain about that!"], "output": ["Runs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs good and does the job, can't complain about that, but I don't enjoy windows 8, and slot is an issue."], "output": ["Runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's absolutely wonderful and worth the price!"], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's absolutely awful and not worth the price!"], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's absolutely wonderful and worth the price, but ram is a gripe."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So happy with this purchase, I just wish it came with Microsoft Word."], "output": ["Microsoft Word", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So happy with this purchase, but I never wished it came with Microsoft Word."], "output": ["Microsoft Word", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So happy with this purchase, I just wish it came with Microsoft Word, but I like size."], "output": ["Microsoft Word", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i have dropped mine a couple times with only a slim plastic case covering it."], "output": ["slim plastic case", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i have dropped mine a couple times with only a slim plastic case covering it, but speed is enough, operating system is excellent and look is good."], "output": ["slim plastic case", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yet my mac continues to function properly."], "output": ["function", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yet my mac continues to function improperly."], "output": ["function", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yet my mac continues to function properly, but windows 8 set-ups is frustrated and log into the system is frustrating."], "output": ["function", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have had it over a year now with out a Glitch of any kind..I love the lit up keys and screen display...this thing is Fast and clear as can be."], "output": ["lit up keys", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have had it over a year now with out a Glitch of any kind.. I hate the lit up keys and screen display... this thing is Slow and unclear as can be."], "output": ["lit up keys", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have had it over a year now with out a Glitch of any kind..I love the lit up keys and screen display...this thing is Fast and clear as can be, but mac OS is inferior."], "output": ["lit up keys", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have had it over a year now with out a Glitch of any kind..I love the lit up keys and screen display...this thing is Fast and clear as can be."], "output": ["screen display", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have had it over a year now with out a Glitch of any kind.. I hate the lit up keys and screen display... this thing is Slow and ill-defined as can be."], "output": ["screen display", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have had it over a year now with out a Glitch of any kind..I love the lit up keys and screen display...this thing is Fast and clear as can be, but mac system is comfortable and features are less."], "output": ["screen display", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE CUSTOMER SERVICE IS TERRIFIC!!"], "output": ["CUSTOMER SERVICE", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE CUSTOMER SERVICE IS not TERRIFIC!!"], "output": ["CUSTOMER SERVICE", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE CUSTOMER SERVICE IS TERRIFIC, but technical support is not helpful."], "output": ["CUSTOMER SERVICE", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I know some people complained about HDMI issues but they released a firmware patch to address that issue."], "output": ["firmware patch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I know some people complained about HDMI issues but they released a firmware patch to address that issue; performance is a superlative."], "output": ["firmware patch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I know some people complained about HDMI issues but they released a firmware patch to address that issue."], "output": ["HDMI", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I know some people not complained about HDMI issues but they released a firmware patch to address that issue."], "output": ["HDMI", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I know some people complained about HDMI issues but they released a firmware patch to address that issue; form factor is a love."], "output": ["HDMI", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had my computer for 2 weeks already and it works perfectly."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had my computer for 2 weeks already and it works imperfectly."], "output": ["works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had my computer for 2 weeks already and it works perfectly, but I don't enjoy windows 8."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Did not enjoy the new Windows 8 and touchscreen functions."], "output": ["touchscreen functions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Did experience the new Windows 8 and touchscreen functions."], "output": ["touchscreen functions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Did not enjoy the new Windows 8 and touchscreen functions, but display is excellent."], "output": ["touchscreen functions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Did not enjoy the new Windows 8 and touchscreen functions."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Did appreciate the new Windows 8 and touchscreen functions."], "output": ["Windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Did not enjoy the new Windows 8 and touchscreen functions, but storage is enough, size is ideal and surfing is pleasurable."], "output": ["Windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Quick and has built in virus control."], "output": ["built in virus control", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Quick and has built in virus control, but mac system is uncomfortable, windows 8 set-ups is frustrated and windows 8 is annoying."], "output": ["built in virus control", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and its features but there are somethings I think needs to be improved."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the design and its features but there are somethings I think needs to be improved."], "output": ["design", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and its features but there are somethings I think not needs to be improved."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and its features but there are somethings I think needs to be improved; power switch is bigger, support for games is a lack and spec is disappointed."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and its features but there are somethings I think needs to be improved."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design but there are some things like its features I think need to be improved."], "output": ["features", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the design but its features but there are somethings I think needs to be improved."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the design and its features but there are somethings I think needs to be improved; audio volume is unusable and bass is weak."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The price is 200 dollars down."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The price is 200 dollars down, but hardware is bad and support for games is a lack."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With the softwares supporting the use of other OS makes it much better."], "output": ["softwares", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With the softwares supporting the use of other OS makes it much not better."], "output": ["softwares", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With the softwares supporting the use of other OS makes it much better, but apps is beautiful."], "output": ["softwares", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With the softwares supporting the use of other OS makes it much better."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With the softwares supporting the use of other OS makes it much not better."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With the softwares supporting the use of other OS makes it much better, but use is easy and price is higher."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was amazed at how fast the delivery was."], "output": ["delivery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was amazed at how slow the delivery was."], "output": ["delivery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was amazed at how fast the delivery was, but I complain OS, log into the system is frustrating and material is cheap."], "output": ["delivery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was concerned that the downgrade to the regular hard drive would make it unacceptably slow but I need not have worried - this machine is the fastest I have ever owned..."], "output": ["regular hard drive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was concerned that the downgrade to the regular hard drive would make it unacceptably slow but I need not have worried - this machine is the fastest I have ever owned; spec is disappointed, windows 8 is a complaint and hard drive is poor."], "output": ["regular hard drive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I understand I should call Apple Tech Support about any variables(which is my purpose of writing this con) as variables could be a bigger future problem."], "output": ["Apple Tech Support", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I understand I should call Apple Tech Support about any variables(which is my purpose of writing this con) as variables could be a bigger future problem, but I complain OS and price is heavy."], "output": ["Apple Tech Support", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This thing is awesome, everything always works, everything is always easy to set up, everything is compatible, its literally everything I could ask for."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This thing is awesome, everything never works, everything is always easy to set up, everything is compatible, its literally everything I could ask for."], "output": ["works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This thing is awesome, everything always works, everything is always difficult to set up, everything is compatible, its literally everything I could ask for."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This thing is awesome, everything always works, everything is always easy to set up, everything is compatible, its literally everything I could ask for, but log into the system is frustrating, features is less and sound is crappy."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This thing is awesome, everything always works, everything is always easy to set up, everything is compatible, its literally everything I could ask for."], "output": ["set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This thing is awesome, everything always works, everything is always difficult to set up, everything is compatible, its literally everything I could ask for."], "output": ["set up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This thing is awesome, everything never works, everything is always easy to set up, everything is compatible, its literally everything I could ask for."], "output": ["set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This thing is awesome, everything always works, everything is always easy to set up, everything is compatible, its literally everything I could ask for, but price is heavy, USB ports is a mistake and memory is not able to be used."], "output": ["set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new os is great on my macbook pro!"], "output": ["os", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new os is not great on my macbook pro!"], "output": ["os", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new os is great on my macbook pro, but i5 is not as fast, finger swipes is fancy and internal speakers is lousy."], "output": ["os", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sure it's not light and slim but the features make up for it 100%."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sure it's not light and slim and the features don't make up for it."], "output": ["features", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sure it's not light and slim but the features make up for it 100%; slot is an issue."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Great product, great price, great delivery, and great service."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Great product, great price, great delivery, and not great service."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Not great product, not great price, not great deliveray but great service"], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Great product, great price, great delivery, and great service, but sound is crappy, bass is weak and material is cheap."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Great product, great price, great delivery, and great service."], "output": ["delivery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Great product, great price, horrible delivery, and great service."], "output": ["delivery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) great delivery, but not a great price and not great service and not great product."], "output": ["delivery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Great product, great price, great delivery, and great service, but fonts is small."], "output": ["delivery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Great product, great price, great delivery, and great service."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Great product, not great price, great delivery, and great service."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Not great product, but great price, and not great delivery, and not great service."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": [":) Great product, great price, great delivery, and great service, but range is poor."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the overbearing restrictions of OSX and lack of support for games."], "output": ["OSX", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the not overbearing restrictions of OSX and lack of support for games."], "output": ["OSX", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the overbearing restrictions of OSX and not lack of support for games."], "output": ["OSX", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the overbearing restrictions of OSX and lack of support for games, but fans is aren't audible, mobility is nice and shipping is free."], "output": ["OSX", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the overbearing restrictions of OSX and lack of support for games."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the overbearing restrictions of OSX and lack of support for games, but battery life is excellent."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the overbearing restrictions of OSX and lack of support for games."], "output": ["support for games", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the overbearing restrictions of OSX but not lack of support for games."], "output": ["support for games", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the not overbearing restrictions of OSX but lack of support for games."], "output": ["support for games", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had the same reasons as most PC users: the price, the overbearing restrictions of OSX and lack of support for games, but mavericks is impressive."], "output": ["support for games", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Soft touch, anodized aluminum with laser cut precision and no flaws."], "output": ["anodized aluminum", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Soft touch, anodized aluminum with laser cut imprecision but weaknesses."], "output": ["anodized aluminum", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Loud touch, anodized aluminum with laser cut precision but no flaws."], "output": ["anodized aluminum", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Soft touch, anodized aluminum with laser cut precision and no flaws, but material is cheap and keyboard is not very sensitive."], "output": ["anodized aluminum", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Soft touch, anodized aluminum with laser cut precision and no flaws."], "output": ["touch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Loud touch, anodized aluminum with laser cut precision but no flaws."], "output": ["touch", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Soft touch, anodized aluminum with imprecise laser cut and weaknesses."], "output": ["touch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Soft touch, anodized aluminum with laser cut precision and no flaws, but bass is weak."], "output": ["touch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works out of the box and you have a lot of cool software included with the OS."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works out of the box and you have a lot of neat software included with the OS."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works decidedly out of the box and you have a lot of cool software included with the OS."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works out of the box and you have a lot of cool software included with the OS, but built-in apps is amazing, I like lighted screen and usb3 peripherals is less expensive."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works out of the box and you have a lot of cool software included with the OS."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works not out of the box but you have a lot of cool software included with the OS."], "output": ["works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works out of the box but you have a lot of heat software included with the OS."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works out of the box and you have a lot of cool software included with the OS, but performance is slow, internal speakers is lousy and mac system is uncomfortable."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works out of the box and you have a lot of cool software included with the OS."], "output": ["software", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works out of the box and you have a lot of heat software included with the OS."], "output": ["software", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It does not just work out of the box but you have a lot of cool software included with the OS."], "output": ["software", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It just works out of the box and you have a lot of cool software included with the OS, but windows 8 is annoying, mac office is a problems and instructions is a lack."], "output": ["software", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Awesome form factor, great battery life, wonderful UX."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Awesome form factor, not great battery life, wonderful UX."], "output": ["battery life", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Awesome form factor, great battery life, not wonderful UX."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery life is great, with wonderful UX but components are bad"], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Awesome form factor, great battery life, wonderful UX."], "output": ["form factor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Awesome form factor, great battery life, wonderful UX."], "output": ["form factor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Awesome form factor, not great battery life, not wonderful UX."], "output": ["form factor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Awesome form factor, great battery life, wonderful UX, but sdxc slot is silly and I don't enjoy touchscreen functions."], "output": ["form factor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Awesome form factor, great battery life, wonderful UX."], "output": ["UX", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Awesome form factor, great battery life, not wonderful UX."], "output": ["UX", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Form factor not great, battery life not great, but otherwise wonderful UX."], "output": ["UX", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Awesome form factor, great battery life, wonderful UX, but on/off switch is obscure."], "output": ["UX", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I switched to this because I wanted something different, even though I miss windows."], "output": ["windows", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I switched to this because I wanted something different, and I have windows."], "output": ["windows", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I switched to this because I wanted something different, even though I miss windows, but I dislike rubber pads, I don't enjoy windows 8 and ox is an overbearing."], "output": ["windows", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to customize setting and even create your own bookmarks."], "output": ["create your own bookmarks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Uneasy to customize setting and even create your own bookmarks."], "output": ["create your own bookmarks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to customize setting and even create your own bookmarks, but I don't like the lack of instructions on Windows 8."], "output": ["create your own bookmarks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to customize setting and even create your own bookmarks."], "output": ["customize setting", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Uneasy to customize setting and even create your own bookmarks."], "output": ["customize setting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Easy to customize setting and even create your own bookmarks, but speed is disappointed."], "output": ["customize setting", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything I wanted and everything I needed and the price was great!"], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything I wanted and everything I needed but the price was not great!"], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything I wanted and everything I needed and the price was great, but ram is a gripe and I complain OS."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the brightness and adjustments."], "output": ["adjustments", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the brightness and adjustments."], "output": ["adjustments", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the brightness and adjustments, but windows 8 set-ups is frustrated and hardware (keyboard) is an issues."], "output": ["adjustments", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the brightness and adjustments."], "output": ["brightness", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the brightness and adjustments."], "output": ["brightness", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the brightness and adjustments, but audio volume is unusable."], "output": ["brightness", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The receiver was full of superlatives for the quality and performance."], "output": ["quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The receiver was full of not superlatives for the quality and performance."], "output": ["quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The receiver was full of superlatives for the quality and performance, but I don't enjoy windows 8 and ram is a gripe."], "output": ["quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The receiver was full of superlatives for the quality and performance."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The receiver was full of not superlatives for the quality and performance."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The receiver was full of superlatives for the quality and performance, but hardware is bad and speakers is worst."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Just beware no DVD slot so when I went to install software I had on CD I couldn't."], "output": ["install software", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Just beware no DVD slot so when I went to install software I had on CD I couldn't, but capabilities is wonderful."], "output": ["install software", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Just beware no DVD slot so when I went to install software I had on CD I couldn't."], "output": ["DVD slot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Just beware DVD slot so when I went to install software I had on CD I couldn't."], "output": ["DVD slot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Just beware no DVD slot so when I went to install software I had on CD, I couldn't, but it works fine, is interesting, difficult, and less features."], "output": ["DVD slot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfect for all my graphic design classes I'm taking this year in college :-)"], "output": ["graphic design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Imperfect for all my graphic design classes I'm taking this year in college :-)"], "output": ["graphic design", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfect for all my graphic design classes I'm taking this year in college :-), but mac OS is a courtesy, i5 is not as fast and material is cheap."], "output": ["graphic design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Super light, super sexy and everything just works."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Super light, super sexy and everything just works, but mac system is uncomfortable, ram is a gripe and ox is an overbearing."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is robust, with a friendly use as all Apple products."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is robust, with a unfriendly use as all Apple products."], "output": ["use", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is robust, with a friendly use as all Apple products, but audio volume is unusable, application is a crash and graphics card is faulty."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Price was higher when purchased on MAC when compared to price showing on PC when I bought this product."], "output": ["Price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Price was not higher when purchased on MAC when compared to price showing on PC when I bought this product."], "output": ["Price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Price was higher when purchased on MAC when compared to price showing on PC when I bought this product, but shipping is quick."], "output": ["Price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Price was higher when purchased on MAC when compared to price showing on PC when I bought this product."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Price was higher when purchased on MAC when compared to price showing on PC when I bought this product, but I dislike rubber pads, profile is critical and I don't enjoy windows 8."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it's exactly what i wanted, and it has all the new features and whatnot."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it's exactly what i unwanted, and it has all the old features and whatnot."], "output": ["features", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it's exactly what i wanted, and it has all the new features and whatnot, but I don't like win8, fonts is small and settings is not user-friendly."], "output": ["features", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only gripe would be the need to add more RAM."], "output": ["RAM", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only not gripe would be the need to add more RAM."], "output": ["RAM", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only gripe would be the need to add more RAM, but features is cool."], "output": ["RAM", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["great price free shipping what else can i ask for!!"], "output": ["shipping", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["great price unfree shipping what else can i ask for!!"], "output": ["shipping", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["not a great price but with free shipping what else can i ask for!!"], "output": ["shipping", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["great price free shipping what else can i ask for, but intel4000 graphic chip is under powered and i5 is not as fast."], "output": ["shipping", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["great price free shipping what else can i ask for!!"], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["not great price free shipping what else can i ask for!!"], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["great price unfree shipping what else can i ask for!!"], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["great price free shipping what else can i ask for, but log into the system is frustrating, intel4000 graphic chip is under powered and volume is crappy."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["packing and everything was perfect"], "output": ["packing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["packing and everything was imperfect"], "output": ["packing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["packing and everything was perfect, but I don't enjoy touchscreen functions, features is less and ram is a gripe."], "output": ["packing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Nice packing."], "output": ["packing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Nice packing."], "output": ["packing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Nice packing, but windows 8 is a complaint and support for games is a lack."], "output": ["packing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I haven't tried the one with retina display... Maybe in the future."], "output": ["retina display", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I haven't tried the one with retina display... Maybe in the future, but install is easy and ports is a plenty."], "output": ["retina display", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance is definitely superior to any computer I've ever put my hands on."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance is definitely inferior to any computer I've ever put my hands on."], "output": ["performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The performance is definitely superior to any computer I've ever put my hands on, but range is poor."], "output": ["performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Premium price for the OS more than anything else."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Premium price for the OS more than anything else."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Premium price for the OS more than anything else, but mac system is uncomfortable, colors is stunning and transport is easy."], "output": ["OS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Premium price for the OS more than anything else."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Premium price for the OS more than anything else."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Premium price for the OS more than anything else, but touch pad is useless."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have experienced no problems, works as anticipated."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have experienced no problems, does not work as anticipated."], "output": ["work", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have experienced no problems, works as anticipated, but I complain OS and battery is dead."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels solid, with a flawless finish."], "output": ["finish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels solid, with a not flawless finish."], "output": ["finish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels not solid, with a flawless finish."], "output": ["finish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels solid, with a flawless finish, but range is poor and hardware is bad."], "output": ["finish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels solid, with a flawless finish."], "output": ["feels", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels not solid, with a flawless finish."], "output": ["feels", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels solid, with a not flawless finish."], "output": ["feels", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels solid, with a flawless finish, but log into the system is frustrating."], "output": ["feels", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels solid, with a flawless finish."], "output": ["looks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels fragile, without a flawless finish."], "output": ["looks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels solid, with a not flawless finish."], "output": ["looks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It looks and feels solid, with a flawless finish, but mac OS is inferior, internal speakers is lousy and volume is crappy."], "output": ["looks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the operating system."], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike the operating system."], "output": ["operating system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like the operating system, but USB ports is a mistake and support for games is a lack."], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's so quick and responsive that it makes working/surfing on a computer so much more pleasurable!"], "output": ["surfing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's so quick and responsive that it makes working/surfing on a computer so much more not pleasurable!"], "output": ["surfing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's so quick and responsive that it makes working/surfing on a computer so much more pleasurable, but hardware (keyboard) is an issues."], "output": ["surfing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's so quick and responsive that it makes working/surfing on a computer so much more pleasurable!"], "output": ["working", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's so quick and responsive that it makes working/surfing on a computer so much more not pleasurable!"], "output": ["working", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's so quick and responsive that it makes working/surfing on a computer so much more pleasurable, but power switch is bigger and ram is a gripe."], "output": ["working", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Starts up in a hurry and everything is ready to go."], "output": ["Starts up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Starts up in a hurry and everything is ready to go, but I don't enjoy windows 8 and the speakers are bad quality"], "output": ["Starts up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very fast and has everything that I need except for a word program."], "output": ["word program", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very fast and has everything that I need not except for a word program."], "output": ["word program", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very fast and has everything that I need except for a word program, but up is wonderful and build is strong."], "output": ["word program", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the retina display display make pictures i took years ago jaw dropping."], "output": ["retina display display", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the retina display display make pictures i took years ago not jaw dropping."], "output": ["retina display display", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the retina display display make pictures i took years ago jaw dropping, but ram is a gripe and mac OS is a blame."], "output": ["retina display display", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My one complaint is that there was no internal CD drive."], "output": ["internal CD drive", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My one not complaint is that there was internal CD drive."], "output": ["internal CD drive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My one complaint is that there was no internal CD drive, but ports is a plenty."], "output": ["internal CD drive", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very slim, the track pad is very much impressed with me."], "output": ["track pad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very not slim, the track pad is very much not impressed with me."], "output": ["track pad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very slim, the track pad is very much impressed with me, but battery is dead and ox is an overbearing."], "output": ["track pad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Set up was a breeze."], "output": ["Set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Set up was a not breeze."], "output": ["Set up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Set up was a breeze, but windows 8 is annoying."], "output": ["Set up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The reason why I choose apple MacBook because of their design and the aluminum casing."], "output": ["aluminum casing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The reason why I choose apple MacBook because of their design and the aluminum casing, but USB ports is a mistake."], "output": ["aluminum casing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The reason why I choose apple MacBook because of their design and the aluminum casing."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The reason why I choose apple MacBook because of their design and the aluminum casing, but ventilation system is hot."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All the ports are much needed since this is my main computer."], "output": ["ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All the ports are not much needed since this is my main computer."], "output": ["ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All the ports are much needed since this is my main computer, but wife connection is speedy and media editing is perfect."], "output": ["ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also stunning colors and speedy"], "output": ["colors", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also not stunning colors and speedy"], "output": ["colors", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also stunning colors and speedy, but intel4000 graphic chip is under powered and price is higher."], "output": ["colors", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the fact that it comes with an i5 processor definitely speeds things up"], "output": ["i5 processor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the fact that it comes with an i5 processor definitely not speeds things up"], "output": ["i5 processor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the fact that it comes with an i5 processor definitely speeds things up, but support for games is a lack and i5 is not as fast."], "output": ["i5 processor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Built-in apps are purely amazing."], "output": ["Built-in apps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Built-in apps are purely not amazing."], "output": ["Built-in apps", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Built-in apps are purely amazing, but I don't enjoy windows 8."], "output": ["Built-in apps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The aluminum body sure makes it stand out."], "output": ["aluminum body", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The aluminum body sure makes it not stand out."], "output": ["aluminum body", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The aluminum body sure makes it stand out, but finger swipes is fancy, bass is weak and sound is crappy."], "output": ["aluminum body", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very easy to navigate even for a novice."], "output": ["navigate", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very difficult to navigate even for a novice."], "output": ["navigate", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is very easy to navigate even for a novice, but price is heavy."], "output": ["navigate", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No HDMI port."], "output": ["HDMI port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["HDMI port."], "output": ["HDMI port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No HDMI port, but battery life is amazing, delivery is great and carry is easy."], "output": ["HDMI port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After replacing the spinning hard disk with an ssd drive, my mac is just flying."], "output": ["spinning hard disk", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After replacing the spinning hard disk with an ssd drive, my mac is just flying, but I like lighted screen, I don't enjoy windows 8 and photo is great."], "output": ["spinning hard disk", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After replacing the spinning hard disk with an ssd drive, my mac is just flying."], "output": ["ssd drive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After replacing the spinning hard disk with an ssd drive, my mac is just not flying."], "output": ["ssd drive", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After replacing the spinning hard disk with an ssd drive, my mac is just flying, but mac OS is inferior, price is heavy and support for games is a lack."], "output": ["ssd drive", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It came in brand new and works perfectly."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It came in brand new and works imperfectly."], "output": ["works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It came in brand new and works perfectly, but profile is critical, mother board is faulty and cost is more."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is super fast and has outstanding graphics."], "output": ["graphics", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is super fast and has not outstanding graphics."], "output": ["graphics", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is super fast and has outstanding graphics, but sdxc slot is silly and sound is crappy."], "output": ["graphics", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does not have a built-in mic, and it would seem that its Mac OS 10.9 does not handle external microphones properly."], "output": ["Mac OS 10.9", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does not have a built-in mic, but it would seem that its Mac OS 10.9 does address external microphones properly."], "output": ["Mac OS 10.9", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does indeed not have a built-in mic, and it would seem that its Mac OS 10.9 does not handle external microphones properly."], "output": ["Mac OS 10.9", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does not have a built-in mic, and it would seem that its Mac OS 10.9 does not handle external microphones properly, but battery life is excellent."], "output": ["Mac OS 10.9", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does not have a built-in mic, and it would seem that its Mac OS 10.9 does not handle external microphones properly."], "output": ["external microphones", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does not have a built-in mic, and it would seem that its Mac OS 10.9 does not handle external microphones properly, but I like operating system and setup is intuitive."], "output": ["external microphones", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does not have a built-in mic, and it would seem that its Mac OS 10.9 does not handle external microphones properly."], "output": ["built-in mic", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does enjoy a built-in mic, but it would seem that its Mac OS 10.9 does not handle external microphones properly."], "output": ["built-in mic", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does not have a built-in mic, and it would seem that its Mac OS 10.9 does enormously not handle external microphones properly."], "output": ["built-in mic", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this Mac Mini does not have a built-in mic, and it would seem that its Mac OS 10.9 does not handle external microphones properly, but performance is better."], "output": ["built-in mic", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With the needs of a professional photographer I generally need to keep up with the best specs."], "output": ["specs", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With the needs of a professional photographer I generally need to keep up with the worst specs."], "output": ["specs", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With the needs of a professional photographer I generally need to keep up with the best specs, but keyboard is not very sensitive and ram is a gripe."], "output": ["specs", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So much faster and sleeker looking."], "output": ["looking", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So much not faster and not sleeker looking."], "output": ["looking", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So much faster and sleeker looking, but sound is crappy and speakers is worst."], "output": ["looking", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great Performance and Quality."], "output": ["Quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Poor Performance and Quality."], "output": ["Quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great Performance and Quality, but technical support is not helpful and mountain lion is slow."], "output": ["Quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great Performance and Quality."], "output": ["Performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great Performance and Quality."], "output": ["Performance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great Performance and Quality, but support for games is a lack."], "output": ["Performance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wasn't sure if I was going to like it much less love it so I went to a local best buy and played around with the IOS system on a Mac Pro and it was totally unique and different."], "output": ["IOS system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wasn't sure if I was going to like it much less love it so I went to a local best buy and played around with the IOS system on a Mac Pro and it was totally not unique and same."], "output": ["IOS system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wasn't sure if I was going to like it much less love it so I went to a local best buy and played around with the IOS system on a Mac Pro and it was totally unique and different, but track pad is not very good and graphics card is faulty."], "output": ["IOS system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Shipped very quickly and safely."], "output": ["Shipped", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Shipped very slowly and not safely."], "output": ["Shipped", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Shipped very quickly and safely, but mac system is uncomfortable and cost is more."], "output": ["Shipped", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Since the machine's slim profile is critical to me, that was a problem."], "output": ["profile", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Since the machine's slim profile is uncritical to me, that was a problem."], "output": ["profile", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Since the machine's slim profile is critical to me, that was a problem, but mac OS is happier, resolution is higher and screen is sharp."], "output": ["profile", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The audio volume is quite low and virtually unusable in a room with any background activity."], "output": ["audio volume", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The audio volume is quite high and virtually not unusable in a room with any background activity."], "output": ["audio volume", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The audio volume is quite low and virtually unusable in a room with any background activity, but I like size and hard drive is quiet."], "output": ["audio volume", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I want the portability of a tablet, without the limitations of a tablet and that's where this laptop comes into play."], "output": ["portability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I want the portability of a tablet, without the limitations of a tablet and that's where this laptop comes into play, but the cost is more and the internal speakers are lousy."], "output": ["portability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is pretty snappy and starts up in about 30 seconds which is good enough for me."], "output": ["starts up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is pretty not snappy and starts up in about 30 seconds which is bad enough for me."], "output": ["starts up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is pretty snappy and starts up in about 30 seconds which is good enough for me, but power switch is bigger, gaming is not been good and internal speakers is lousy."], "output": ["starts up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound as mentioned earlier isn't the best, but it can be solved with headphones."], "output": ["headphones", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sound as mentioned earlier isn't the best, but it can be solved with headphones and quality is good."], "output": ["headphones", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Boot-up slowed significantly after all Windows updates were installed."], "output": ["Windows updates", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Boot-up not slowed significantly after all Windows updates were installed."], "output": ["Windows updates", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Boot-up slowed significantly after all Windows updates were installed, but navigate is easy and use is easy."], "output": ["Windows updates", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Boot-up slowed significantly after all Windows updates were installed."], "output": ["Boot-up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Boot-up accelerated significantly after all Windows updates were installed."], "output": ["Boot-up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Boot-up slowed significantly after all Windows updates were installed, but speed is enough, photo is great and flexibility for connectivity is more."], "output": ["Boot-up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really thick around the battery."], "output": ["battery", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really thin around the battery."], "output": ["battery", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really thick around the battery, but the fonts are small and the range is poor."], "output": ["battery", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The first time I used the card reader it took half an hour and a pair of tweezers to remove the card."], "output": ["remove the card", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The first time I used the card reader it took half an hour and a pair of tweezers to remove the card, but screen is gorgeous and streaming video is great."], "output": ["remove the card", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The first time I used the card reader it took half an hour and a pair of tweezers to remove the card."], "output": ["card reader", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The first time I used the card reader it took half an hour and a pair of tweezers to remove the card, but functions provided by the track pad is unmatched."], "output": ["card reader", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I will not be using that slot again."], "output": ["slot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I will be using that slot again."], "output": ["slot", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I will not be using that slot again, but price is great and price is worth."], "output": ["slot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's ok but doesn't have a disk drive which I didn't know until after I bought it."], "output": ["disk drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's ok but receive a disk drive which I didn't know until after I bought it."], "output": ["disk drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's ok but doesn't have a disk drive which I didn't know until after I bought it; size is perfect, construction is solid and touch pad is useless."], "output": ["disk drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["User upgradeable RAM and HDD."], "output": ["RAM", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["User not upgradeable RAM and HDD."], "output": ["RAM", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["User upgradeable RAM and HDD, but price is heavy."], "output": ["RAM", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["User upgradeable RAM and HDD."], "output": ["HDD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["User not upgradeable RAM and HDD."], "output": ["HDD", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["User upgradeable RAM and HDD, but performance is a disappointment, mountain lion is slow and customization is impossible."], "output": ["HDD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Now that I have upgraded to Lion I am much happier about MAC OS and have just bought an iMac for office."], "output": ["MAC OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Now that I have upgraded to Lion I am much not happier about MAC OS and have just bought an iMac for office."], "output": ["MAC OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Now that I have downgrade to Lion I am much happier about MAC OS and have just bought an iMac for office."], "output": ["MAC OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Now that I have upgraded to Lion I am much happier about MAC OS and have just bought an iMac for office, but sound is crappy."], "output": ["MAC OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Now that I have upgraded to Lion I am much happier about MAC OS and have just bought an iMac for office."], "output": ["Lion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Now that I have downgrade to Lion I am much happier about MAC OS but have just bought an iMac for office."], "output": ["Lion", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Now that I have upgraded to Lion I am much unhappier with MAC OS but have just bought an iMac for office."], "output": ["Lion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Now that I have upgraded to Lion I am much happier about MAC OS and have just bought an iMac for office, but mountain lion is slow and I don't enjoy touchscreen functions."], "output": ["Lion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cost is more as compared to other brands."], "output": ["Cost", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cost is less as compared to other brands."], "output": ["Cost", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cost is more as compared to other brands, but working is pleasurable and shipping is great."], "output": ["Cost", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But I wanted the Pro for the CD/DVD player."], "output": ["CD/DVD player", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But I unwanted the Pro for the CD/DVD player."], "output": ["CD/DVD player", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But I wanted the Pro for the CD/DVD player, but the sdxc slot is silly, performance is disappointing and case to large."], "output": ["CD/DVD player", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Web surfuring is smooth and seamless."], "output": ["Web surfuring", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Web surfuring is rough and not seamless."], "output": ["Web surfuring", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Web surfuring is smooth and seamless, but I don't enjoy windows 8 and ventilation system is hot."], "output": ["Web surfuring", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack."], "output": ["FireWire 800", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack, but track pad is impressed."], "output": ["FireWire 800", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack."], "output": ["Microphone jack", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack, but performance is excellent."], "output": ["Microphone jack", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack."], "output": ["MagSafe port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack, but I like mac OS."], "output": ["MagSafe port", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack."], "output": ["Gigabit Ethernet", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack, but cost is more, performance is high and works is great."], "output": ["Gigabit Ethernet", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack."], "output": ["ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other ports include FireWire 800, Gigabit Ethernet, MagSafe port, Microphone jack, but log into the system is frustrating, product quality is unmatched and screen is nice."], "output": ["ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This mac does come with an extender cable and I'm using mine right now hoping the cable will stay nice for the many years I plan on using this mac."], "output": ["extender cable", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This mac does come with an extender cable and I'm using mine right now hoping the cable will stay nice for the many years I plan on using this mac, but media editing is perfect and support for games is a lack."], "output": ["extender cable", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This mac does come with an extender cable and I'm using mine right now hoping the cable will stay nice for the many years I plan on using this mac."], "output": ["cable", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This mac does come with an extender cable and I'm using mine right now hoping the cable will stay poor for the many years I plan on using this mac."], "output": ["cable", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This mac does come with an extender cable and I'm using mine right now hoping the cable will stay nice for the many years I plan on using this mac, but windows 8 is a complaint."], "output": ["cable", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I just bought the new MacBook Pro, the 13\" model, and I can't believe Apple keeps making the same mistake with regard to USB ports."], "output": ["USB ports", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I just bought the new MacBook Pro, the 13 \" model, and I can't believe Apple keeps making the same not mistake with regard to USB ports."], "output": ["USB ports", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I just bought the new MacBook Pro, the 13\" model, and I can't believe Apple keeps making the same mistake with regard to USB ports, but graphic design is powerful and runs is quick."], "output": ["USB ports", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The configuration is perfect for my needs."], "output": ["configuration", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The configuration is imperfect for my needs."], "output": ["configuration", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The configuration is perfect for my needs, but ox is an overbearing and cost is more."], "output": ["configuration", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs like a champ....."], "output": ["Runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Runs like a champ, but log into the system is frustrating, price is heavy and mac office is a problem."], "output": ["Runs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["and its not hard to accidentally bang it against something so i recommend getting a case to protect it."], "output": ["case", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["and its not hard to accidentally bang it against something so i not recommend getting a case to protect it."], "output": ["case", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["and its not hard to accidentally bang it against something so i recommend getting a case to protect it, but battery cycle count is surprising."], "output": ["case", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I thought the transition would be difficult at best and would take some time to fully familiarize myself with the new Mac ecosystem."], "output": ["Mac ecosystem", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I thought the transition would be difficult at best and would not take some time to fully familiarize myself with the new Mac ecosystem."], "output": ["Mac ecosystem", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I thought the transition would be difficult at best and would take some time to fully familiarize myself with the new Mac ecosystem, but performance is good."], "output": ["Mac ecosystem", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yes, that's a good thing, but it's made from aluminum that scratches easily."], "output": ["aluminum", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yes, that's a good thing, but it's made from aluminum that not scratches easily."], "output": ["aluminum", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yes, that's a good thing, but it's made from aluminum that scratches easily; navigate is easy and I like operating system."], "output": ["aluminum", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And as for all the fancy finger swipes -- I just gave up and attached a mouse."], "output": ["mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And as for all the fancy finger swipes -- I just gave up and attached a mouse, but ox is an overbearing."], "output": ["mouse", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And as for all the fancy finger swipes -- I just gave up and attached a mouse."], "output": ["finger swipes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And as for all the not fancy finger swipes -- I just gave up and attached a mouse."], "output": ["finger swipes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And as for all the fancy finger swipes -- I just gave up and attached a mouse, but working is pleasurable, and the install is easy"], "output": ["finger swipes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was given a demonstration of Windows 8."], "output": ["Windows 8", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was given a demonstration of Windows 8, but uni body construction is solid, web browsing is quick and OS is happy."], "output": ["Windows 8", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Startup times are incredibly long: over two minutes."], "output": ["Startup times", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Startup times are not incredibly long: over two minutes."], "output": ["Startup times", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Startup times are incredibly long: over two minutes, but built-in applications is great."], "output": ["Startup times", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The criticism has waned, and now I'd be the first to recommend an Air for truly portable computing."], "output": ["portable computing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The criticism has waned, and now I'd not be the first to recommend an Air for complex portable computing."], "output": ["portable computing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The criticism has waned, and now I'd be the first to recommend an Air for truly portable computing, but memory is not able to be used, mountain lion is slow and interesting is difficult."], "output": ["portable computing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MS Office 2011 for Mac is wonderful, well worth it."], "output": ["MS Office 2011 for Mac", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MS Office 2011 for Mac is not wonderful, not well worth it."], "output": ["MS Office 2011 for Mac", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MS Office 2011 for Mac is wonderful, well worth it, but track pad is not very good."], "output": ["MS Office 2011 for Mac", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The OS is easy, and offers all kinds of surprises."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The OS is difficult, and offers all kinds of unpleasant surprises"], "output": ["OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The OS is easy, and offers all kinds of surprises, but i5 is not as fast."], "output": ["OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The thunderbolt port is awesome!"], "output": ["thunderbolt port", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The thunderbolt port is not awesome!"], "output": ["thunderbolt port", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The thunderbolt port is awesome, but I don't enjoy touchscreen functions, I don't enjoy windows 8 and performance is slow."], "output": ["thunderbolt port", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Enjoy using Microsoft Office!"], "output": ["Microsoft Office", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Suffer using Microsoft Office!"], "output": ["Microsoft Office", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Enjoy using Microsoft Office, but USB ports is a mistake."], "output": ["Microsoft Office", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to install Mountain Lion and it took a good two hours."], "output": ["install Mountain Lion", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to install Mountain Lion and it took a good two hours, but performs is better."], "output": ["install Mountain Lion", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One more thing, this mac does NOT come with restore disks and I am not sure if you can make them direct from the mac like you can with newer PC's, also the charging cables are made of the same cheap material as the iPhone/iPod touch cables."], "output": ["material", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One more thing, this mac does NOT come with restore disks and I am not sure if you can make them direct from the mac like you can with newer PC's, also the charging cables are made of the same expensive material as the iPhone/iPod touch cables."], "output": ["material", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One more thing, this mac does NOT come with restore disks and I am not sure if you can make them direct from the mac like you can with newer PC's, also the charging cables are made of the same cheap material as the iPhone/iPod touch cables, but OS is a surprise, use is easy and carry is easy."], "output": ["material", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One more thing, this mac does NOT come with restore disks and I am not sure if you can make them direct from the mac like you can with newer PC's, also the charging cables are made of the same cheap material as the iPhone/iPod touch cables."], "output": ["charging cables", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One more thing, this mac does NOT come with restore disks and I am not sure if you can make them direct from the mac like you can with newer PC's, also the charging cables are made of the same cheap material as the iPhone/iPod touch cables, but I like mac OS, graphics is outstanding and web browsing is quick."], "output": ["charging cables", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One more thing, this mac does NOT come with restore disks and I am not sure if you can make them direct from the mac like you can with newer PC's, also the charging cables are made of the same cheap material as the iPhone/iPod touch cables."], "output": ["restore disks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One more thing, this mac does NOT come with restore disks and I am not sure if you can make them direct from the mac like you can with newer PC's, also the charging cables are made of the same cheap material as the iPhone/iPod touch cables, but usability is excellent."], "output": ["restore disks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple details, crafted aluminium and real glass make this laptop blow away the other plastic ridden, bulky sticker filled laptops."], "output": ["glass", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple details, crafted aluminium but not the real glass make this laptop blow away the other plastic ridden, bulky sticker filled laptops."], "output": ["glass", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple details, not crafted aluminium but real glass make this laptop blow away the other plastic ridden, bulky sticker filled laptops."], "output": ["glass", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple details, crafted aluminium and real glass make this laptop blow away the other plastic ridden, bulky sticker filled laptops, but audio volume is unusable and ram is a gripe."], "output": ["glass", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple details, crafted aluminium and real glass make this laptop blow away the other plastic ridden, bulky sticker filled laptops."], "output": ["aluminium", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple details, not crafted aluminium and real glass make this laptop blow away the other plastic ridden, bulky sticker filled laptops."], "output": ["aluminium", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple details and crafted aluminium not real glass make this laptop blow away the other plastic ridden, bulky sticker filled laptops."], "output": ["aluminium", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple details, crafted aluminium and real glass make this laptop blow away the other plastic ridden, bulky sticker filled laptops, but finger swipes is fancy."], "output": ["aluminium", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The baterry is very longer."], "output": ["baterry", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The battery is not very longer."], "output": ["battery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The baterry is very longer, but ram is a gripe and instructions is a lack."], "output": ["baterry", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It works great and I am so happy I bought it."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It works not great and I am so happy I bought it."], "output": ["works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It works great and I am so happy I bought it, but customization is impossible, cost is more and windows 8 is a complaint."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["thanks for great service and shipping!"], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["thanks for not great service and shipping!"], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["thanks for great service and shipping, but mac system is uncomfortable, price is higher and support for games is a lack."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["thanks for great service and shipping!"], "output": ["shipping", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["thanks for not great service and shipping!"], "output": ["shipping", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["thanks for great service and shipping, but application is a crash."], "output": ["shipping", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["More likely it will require replacing the logic board once they admit they have a problem and come up with a solution."], "output": ["logic board", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["More likely it will require replacing the logic board once they admit they have a problem and come up with a solution, but I like size, mouse is terrific and speed is perfect."], "output": ["logic board", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This mouse is terrific."], "output": ["mouse", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This mouse is not terrific."], "output": ["mouse", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This mouse is terrific, but windows 8 is a complaint."], "output": ["mouse", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I will upgrade the ram myself (because with this model you can you can do it) later on."], "output": ["upgrade the ram", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I will upgrade the ram myself (because with this model you can you can do it) later on, but fonts is small and I don't enjoy touchscreen functions."], "output": ["upgrade the ram", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, great atmosphere, and best of all GREAT beer!"], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, not great atmosphere, and best of all GREAT beer!"], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, not great waitstaff, great atmosphere, but worst of all not GREAT beer!"], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, great atmosphere, and best of all GREAT beer, but filet minor is not very good, management is less than accommodating and service is severely slow."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, great atmosphere, and best of all GREAT beer!"], "output": ["waitstaff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, but bad waitstaff, and great atmosphere, and best beer!"], "output": ["waitstaff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, great waitstaff, not great atmosphere, but worst of all not GREAT beer!"], "output": ["waitstaff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, great atmosphere, and best of all GREAT beer, but staff is friendly, lighting is unattractive and food is below average."], "output": ["waitstaff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, great atmosphere, and best of all GREAT beer!"], "output": ["beer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, great atmosphere, but worst of all not GREAT beer!"], "output": ["beer", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, not great waitstaff, not great atmosphere, but unlike everything else the beer was great!"], "output": ["beer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, great atmosphere, and best of all GREAT beer, but food portion is below average, artificial lobster meat is artificial and chicken is dark."], "output": ["beer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, great atmosphere, and best of all GREAT beer!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, great waitstaff, great atmosphere, but best of all GREAT beer!"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, not great waitstaff, not great atmosphere, but worst of all not GREAT beer!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great waitstaff, great atmosphere, and best of all GREAT beer, but service is awful."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is top notch, the service is attentive, and the atmosphere is great."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is top notch, but the service is heedless, even if the atmosphere is great."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not top notch, the service is attentive, but the atmosphere is not great."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is top notch, the service is attentive, and the atmosphere is great, but meals is terrible and host is rude."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is top notch, the service is attentive, and the atmosphere is great."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is top notch, the service is attentive, but the atmosphere is not great."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not top notch, the service is not attentive, but the atmosphere is great."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is top notch, the service is attentive, and the atmosphere is great, but waiters is angry."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is top notch, the service is attentive, and the atmosphere is great."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is nasty, but the service is attentive, and the atmosphere is great."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is top notch, the service is heedless, but the atmosphere is not great."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is top notch, the service is attentive, and the atmosphere is great, but music is too heavy, waiters is angry and staff is arrogant."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What can you say about a place where the waitress brings out the wrong entree, then verbally assaults your 80 year old grandmother and gives her lip about sending it back (which she did politely, by the way)."], "output": ["entree", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What can you say about a place where the waitress brings out the right entree, but verbally assaults your 80 year old grandmother and gives her lip about sending it back (which she did politely, by the way)."], "output": ["entree", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What can you say about a place where the waitress brings out the wrong entree, then verbally assaults your 80 year old grandmother and gives her lip about sending it back (which she did politely, by the way), but vegetables is distinctive and service is prompt."], "output": ["entree", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What can you say about a place where the waitress brings out the wrong entree, then verbally assaults your 80 year old grandmother and gives her lip about sending it back (which she did politely, by the way)."], "output": ["waitress", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What can you say about a place where the waitress brings out the wrong entree, then verbally assaults your 80 year old grandmother and gives her lip about sending it back (which she did politely, by the way), but happy hour is cheap, traditional Italian items is cheap and recipes is tried-and-true."], "output": ["waitress", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty poor all around, the food was well below average relative to the cost, and outside there is a crazy bum who harasses every customer who leaves the place."], "output": ["cost", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty poor all around, the food was well below average relative to the cost, and outside there is a crazy bum who harasses every customer who leaves the place, but portion of phone gas is generous, pizza is worth the wait and martinis is exotic."], "output": ["cost", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty poor all around, the food was well below average relative to the cost, and outside there is a crazy bum who harasses every customer who leaves the place."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty rich all around, the food was well below average relative to the cost, but outside there is a crazy bum who harasses every customer who leaves the place."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty poor all around, the food was well not below average relative to the cost, but outside there is a crazy bum who harasses every customer who leaves the place."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty poor all around, the food was well below average relative to the cost, and outside there is a crazy bum who harasses every customer who leaves the place, but salads (avocado shrimp) is good."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty poor all around, the food was well below average relative to the cost, and outside there is a crazy bum who harasses every customer who leaves the place."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty poor all around, the food was not below average relative to the cost, but outside there is a crazy bum who harasses every customer who leaves the place"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty rich all around, the food was well below average relative to the cost, but outside there is a crazy bum who harasses every customer who leaves the place."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was pretty poor all around, the food was well below average relative to the cost, and outside there is a crazy bum who harasses every customer who leaves the place, but atmosphere is good, staff is pleasant and deserts is amazing."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Probably my worst dining experience in new york, and I'm a former waiter so I know what I'm talking about."], "output": ["dining experience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Probably my best dining experience in new york, and I'm a former waiter so I know what I'm talking about."], "output": ["dining experience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Probably my worst dining experience in new york, and I'm a former waiter so I know what I'm talking about, but delivers is speedy."], "output": ["dining experience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Probably my worst dining experience in new york, and I'm a former waiter so I know what I'm talking about."], "output": ["waiter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Probably my worst dining experience in new york, and I'm a former waiter so I know what I'm talking about, but coffee is outstanding."], "output": ["waiter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new menu has a few creative items,they were smart enough to keep some of the old favorites (but they raised the prices), the staff is friendly most of the time, but I must agree with the person that wrote about their favorite words: No, can't, sorry..., boy, they won't bend the rules for anyone."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new menu has a few creative items,they were smart enough to keep some of the old favorites (and they lowered the prices), the staff is friendly most of the time, but I must agree with the person that wrote about their favorite words: No, can't, sorry... , boy, they won't bend the rules for anyone."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new menu has a few greatly creative items, they were smart enough to keep some of the old favorites (but they raised the prices), the staff is friendly most of the time, but I must agree with the person that wrote about their favorite words: No, can't, sorry... , boy, they won't bend the rules for anyone."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new menu has a few creative items,they were smart enough to keep some of the old favorites (but they raised the prices), the staff is friendly most of the time, but I must agree with the person that wrote about their favorite words: No, can't, sorry..., boy, they won't bend the rules for anyone; homemade guacamole is amazing, atmosphere is a changes and tart of the day is favorite."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new menu has a few creative items,they were smart enough to keep some of the old favorites (but they raised the prices), the staff is friendly most of the time, but I must agree with the person that wrote about their favorite words: No, can't, sorry..., boy, they won't bend the rules for anyone."], "output": ["new menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new menu has a few uncreative items, they were smart enough to keep some of the old favorites (but they raised the prices), the staff is friendly most of the time, but I must agree with the person that wrote about their favorite words: No, can't, sorry... , boy, they won't bend the rules for anyone."], "output": ["new menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new menu has a few creative items, they were smart enough to keep some of the old favorites (but they fully raised the prices), the staff is friendly most of the time, but I must agree with the person that wrote about their favorite words: No, can't, sorry... , boy, they won't bend the rules for anyone."], "output": ["new menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The new menu has a few creative items,they were smart enough to keep some of the old favorites (but they raised the prices), the staff is friendly most of the time, but I must agree with the person that wrote about their favorite words: No, can't, sorry..., boy, they won't bend the rules for anyone; size is busy, food is not worth and mole sauce is too sweet."], "output": ["new menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I usually get one the Vietnamese Beef Noodle Soup."], "output": ["Vietnamese Beef Noodle Soup", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I usually get one the Vietnamese Beef Noodle Soup, but macadamia-crusted Mali is tried-and-true and tapas is delightful."], "output": ["Vietnamese Beef Noodle Soup", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their duck here is also absolutely delicious."], "output": ["duck", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their duck here is also absolutely not delicious."], "output": ["duck", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their duck here is also absolutely delicious, but bartender is rude, people is worst and portions is small."], "output": ["duck", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You can eat gourmet food at a fast food price."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You can't eat gourmet food at a fast food price."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You can eat gourmet food at a fast food price, but mole sauce is too sweet, service is rude and wait staff is inconsiderate."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You can eat gourmet food at a fast food price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You can eat gourmet food at a fast food price, but staff is bad and food is below average."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["At night the atmoshere changes turning into this hidden jewel that is waiting to be discovered."], "output": ["atmoshere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["At night the atmoshere remains, turning into this hidden jewel that is waiting to be discovered."], "output": ["atmoshere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["At night the atmoshere changes turning into this hidden jewel that is waiting to be discovered, but tables is uncomfortably close."], "output": ["atmoshere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The boutique selection of wines covers a wide variety without being imposeing."], "output": ["boutique selection of wines", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The boutique selection of wines covers a narrow variety without being imposeing."], "output": ["boutique selection of wines", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The boutique selection of wines covers a wide variety without being imposeing, but service is slow and sandwiches is amazing."], "output": ["boutique selection of wines", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Pizzas were excellent in addition to appetizers and main courses."], "output": ["main courses", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Pizzas were excellent in addition to appetizers and main courses, but disco pop duo is awful, bar service is slow and wait staff is inconsiderate."], "output": ["main courses", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Pizzas were excellent in addition to appetizers and main courses."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Pizzas were excellent in addition to appetizers and main courses, but bar service is slow, bartender is rude and wine list is disappointing."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Pizzas were excellent in addition to appetizers and main courses."], "output": ["Pizzas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Pizzas were not excellent in addition to appetizers and main courses."], "output": ["Pizzas", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Pizzas were excellent in addition to appetizers and main courses, but staff is arrogant and service is slow."], "output": ["Pizzas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely try the calamari, any pasta, or even the Sliced steak entree."], "output": ["calamari", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely do not try the calamari, any pasta, or even the Sliced steak entree."], "output": ["calamari", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely try the calamari, any pasta, or even the Sliced steak entree, but hot dogs is worst and sauce is not very flavorful."], "output": ["calamari", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely try the calamari, any pasta, or even the Sliced steak entree."], "output": ["pasta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely don't try the calamari, any pasta, or even the Sliced steak entree."], "output": ["pasta", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely try the calamari, any pasta, or even the Sliced steak entree, but taste is short and service is disappointed."], "output": ["pasta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely try the calamari, any pasta, or even the Sliced steak entree."], "output": ["Sliced steak entree", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely not try the calamari, any pasta, or even the Sliced steak entree."], "output": ["Sliced steak entree", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely try the calamari, any pasta, or even the Sliced steak entree, but hostess is rude, service is worst and clientele is loud-mouthed."], "output": ["Sliced steak entree", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the beginning, we were met by friendly staff memebers, and the convienent parking at Chelsea Piers made it easy for us to get to the boat."], "output": ["parking", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the beginning, we were met by friendly staff memebers, but the inconvenient parking at Chelsea Piers made it easy for us to get to the boat."], "output": ["parking", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the beginning, we were met by unfriendly staff memebers, but the convenient parking at Chelsea Piers made it easy for us to get to the boat."], "output": ["parking", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the beginning, we were met by friendly staff memebers, and the convienent parking at Chelsea Piers made it easy for us to get to the boat, but smoothies is big, portions is small and hostess is rude."], "output": ["parking", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the beginning, we were met by friendly staff memebers, and the convienent parking at Chelsea Piers made it easy for us to get to the boat."], "output": ["staff memebers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the beginning, we were met by hostile staff memebers, but the convenient parking at Chelsea Piers made it easy for us to get to the boat."], "output": ["staff memebers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the beginning, we were met by friendly staff memebers, but the inconvenient parking at Chelsea Piers made it easy for us to get to the boat."], "output": ["staff memebers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the beginning, we were met by friendly staff memebers, and the convienent parking at Chelsea Piers made it easy for us to get to the boat, but hostess is rude and food is isn't very good."], "output": ["staff memebers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Once we sailed, the top-notch food and live entertainment sold us on a unforgettable evening."], "output": ["live entertainment", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Once we sailed, the sub par food and live entertainment didn't sell us on a unforgettable evening"], "output": ["live entertainment", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Once we sailed, the top-notch food and live entertainment sold us on a unforgettable evening, but meals is terrible."], "output": ["live entertainment", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Once we sailed, the top-notch food and live entertainment sold us on a unforgettable evening."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Once we sailed, the not top-notch food and live entertainment sold us on a unforgettable evening."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Once we sailed, the top-notch food and live entertainment sold us on a unforgettable evening, but artificial lobster meat is artificial and waiting is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all at a reasonable price."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi but not great portions all at a reasonable price."], "output": ["portions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for stale sushi but great portions all at an unreasonable price."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all at a reasonable price, but chicken is dark, manager is a graceless and waiters is angry."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all at a reasonable price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all but the price is unreasonable."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for stale sushi but not great portions all at a reasonable price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all at a reasonable price, but meal is terrible."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all at a reasonable price."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for stale sushi and great portions all at a reasonable price."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and not great portions all at a unreasonable price."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all at a reasonable price, but waiter is annoyed, cake is average and service is slow."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the mushroom barley soup is amazing."], "output": ["mushroom barley soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the mushroom barley soup is not amazing."], "output": ["mushroom barley soup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the mushroom barley soup is amazing, but disco pop duo is awful and manager is a rudeness."], "output": ["mushroom barley soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had dinner here on a Friday and the food was great."], "output": ["dinner", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had dinner here on a Friday and the food was great, but food is excellent, phone gas is luscious and afternoon snack is good."], "output": ["dinner", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had dinner here on a Friday and the food was great."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had dinner here on a Friday and the food was not great."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had dinner here on a Friday and the food was great, but service is terrible, service is horrible and clientele is loud-mouthed."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After dinner I heard music playing and discovered that there is a lounge downstairs."], "output": ["music", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After dinner I heard music playing and discovered that there is a lounge downstairs, but beer selection is great, desserts is excellent and I try pizza with soy cheese."], "output": ["music", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After dinner I heard music playing and discovered that there is a lounge downstairs."], "output": ["dinner", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After dinner I heard music playing and discovered that there is a lounge downstairs, but hot dogs is best, tables is uncomfortably close and dining experience is miserable."], "output": ["dinner", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After dinner I heard music playing and discovered that there is a lounge downstairs."], "output": ["lounge", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After dinner I heard music playing and discovered that there is a lounge downstairs, but ambiance is romantic and service is excellent."], "output": ["lounge", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good, the service prompt, and the price very reasonable. "], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good, the service not prompt, but the price very reasonable."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was bad, the service prompt, but the price very unreasonable."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good, the service prompt, and the price very reasonable, but fortune cookies is a complaint."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good, the service prompt, and the price very reasonable. "], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good, the service prompt, but the price very unreasonable."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was bad, the service not prompt, but the price very reasonable."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good, the service prompt, and the price very reasonable. , but meals is terrible."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good, the service prompt, and the price very reasonable. "], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was bad, the service prompt, but the price very reasonable."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good, the service not prompt, but the price very unreasonable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good, the service prompt, and the price very reasonable. , but disco pop duo is awful, waiters is angry and lighting is unattractive."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pasta primavera was outstanding as well, lots of fresh veggies."], "output": ["fresh veggies", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pasta primavera was outstanding as well, not lots of fresh veggies."], "output": ["fresh veggies", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pasta primavera was not outstanding as well, but the fresh veggies were excellent."], "output": ["fresh veggies", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pasta primavera was outstanding as well, lots of fresh veggies, but waiter is rude, disco pop duo is awful and waiters is bad."], "output": ["fresh veggies", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pasta primavera was outstanding as well, lots of fresh veggies."], "output": ["pasta primavera", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pasta primavera was not outstanding as well, lots of fresh veggies."], "output": ["pasta primavera", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pasta primavera was outstanding as well, not lots of fresh veggies."], "output": ["pasta primavera", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pasta primavera was outstanding as well, lots of fresh veggies, but service is slow, artificial lobster meat is artificial and room is plain."], "output": ["pasta primavera", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, with our show tickets, we didn't have time to sample any desserts."], "output": ["desserts", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, with our show tickets, we didn't have time to sample any desserts, but twist on pizza is healthy, toppings is fresh and portions is large."], "output": ["desserts", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're in the neighborhood, definitely stop by for a great meal."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're in the neighborhood, definitely stop by for a not great meal."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're in the neighborhood, definitely stop by for a great meal, but wait staff is inconsiderate and service is disappointed."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Would you ever believe that when you complain about over an hour wait, when they tell you it will be 20-30 minutes, the manager tells the bartender to spill the drinks you just paid for?"], "output": ["wait", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Would you ever believe that when you complain about over an hour wait, when they tell you it will be 20-30 minutes, the manager tells the bartender to spill the drinks you just paid for? Although Corinthian cheese ravioli with wild mushrooms is simply great..."], "output": ["wait", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Would you ever believe that when you complain about over an hour wait, when they tell you it will be 20-30 minutes, the manager tells the bartender to spill the drinks you just paid for?"], "output": ["bartender", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Would you ever believe that when you complain about over an hour wait, when they tell you it will be 20-30 minutes, the manager tells the bartender to spill the drinks you just paid for, but food is great and chocolate frosty is ultra-thick."], "output": ["bartender", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Would you ever believe that when you complain about over an hour wait, when they tell you it will be 20-30 minutes, the manager tells the bartender to spill the drinks you just paid for?"], "output": ["manager", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Would you ever believe that when you complain about over an hour wait, when they tell you it will be 20-30 minutes, the manager tells the bartender to spill the drinks you just paid for, but waitstaff is friendly."], "output": ["manager", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Would you ever believe that when you complain about over an hour wait, when they tell you it will be 20-30 minutes, the manager tells the bartender to spill the drinks you just paid for?"], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Would you ever believe that when you complain about over an hour wait, when they tell you it will be 20-30 minutes, the manager tells the bartender to spill the drinks you just paid for, but eggplant salad is excellent, food is great and french fries -- with the Dalmatia dip is terrific."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks, and then tells us to chill out."], "output": ["manager", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a not graceless manager and a rude bartender who had us waiting 20 minutes for drinks, but then tells us to chill out."], "output": ["manager", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a civil bartender who had us awfully waiting 20 minutes for drinks, but then tells us to chill out."], "output": ["manager", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks, and then tells us to chill out, but food is good, desserts is free and fettuccine Alfredo is amazing."], "output": ["manager", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks, and then tells us to chill out."], "output": ["bartender", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and an attentive bartender who had us waiting 20 minutes for drinks, and then tells us to chill out."], "output": ["bartender", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a not graceless manager but a rude bartender who had us deeply waiting 20 minutes for drinks, and then tells us to chill out."], "output": ["bartender", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks, and then tells us to chill out, but service is friendly."], "output": ["bartender", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks, and then tells us to chill out."], "output": ["waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a civil bartender who had us waiting 20 minutes for drinks, and then tells us to chill out."], "output": ["waiting", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a not graceless manager and a rude bartender who had us extremely waiting 20 minutes for drinks, but then tells us to chill out."], "output": ["waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks, and then tells us to chill out, but food is hot spot and meal is great."], "output": ["waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks, and then tells us to chill out."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a rude bartender who had us not waiting 20 minutes for drinks, but then tells us to chill out."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a indeed graceless manager and a fully rude bartender who had us waiting 20 minutes for drinks, and then tells us to chill out."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Well, it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks, and then tells us to chill out, but the staff are knowledgeable."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother - the drinks were awful, but it was the people who work there that really made this the worst experience at dining."], "output": ["drinks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother - the drinks were nice but it was the people who work there that really made this the worst experience at dining."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother-the drinks were awful, but it was the people who work there that really made this the best experience at dining."], "output": ["drinks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother - the drinks were awful, but it was the people who work there that really made this the worst experience at dining; atmosphere is perfect."], "output": ["drinks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother - the drinks were awful, but it was the people who work there that really made this the worst experience at dining."], "output": ["dining", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother-the drinks were awful, but it was the people who work there that really made this the best experience at dining."], "output": ["dining", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother-the drinks were nice, but it was the people who work there that really made this the worst experience at dining."], "output": ["dining", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother - the drinks were awful, but it was the people who work there that really made this the worst experience at dining; delivery is prompt and atmosphere is perfect."], "output": ["dining", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother - the drinks were awful, but it was the people who work there that really made this the worst experience at dining."], "output": ["people", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't even bother - the drinks were awful, but it was the people who work there that really made this the best experience at dining."], "output": ["people", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother - the drinks were nice, but it was the people who work there that really made this the worst experience at dining."], "output": ["people", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't ever bother - the drinks were awful, but it was the people who work there that really made this the worst experience at dining; french fries -- with the Dalmatia dip is terrific, rolls with crab is great and value is great."], "output": ["people", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everyone who works there (the host, the bartender, the servers) is so helpful."], "output": ["host", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everyone who works there (the host, the bartender, the servers) is so unhelpful."], "output": ["host", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everyone who works there (the host, the bartender, the servers) is so helpful, but food is awful."], "output": ["host", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everyone who works there (the host, the bartender, the servers) is so helpful."], "output": ["bartender", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everyone who works there (the host, the bartender, the servers) is so unhelpful."], "output": ["bartender", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everyone who works there (the host, the bartender, the servers) is so helpful, but bill is big, portions is small and dining is worst."], "output": ["bartender", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everyone who works there (the host, the bartender, the servers) is so helpful."], "output": ["servers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everyone who works there (the host, the bartender, the servers) is so unhelpful."], "output": ["servers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everyone who works there (the host, the bartender, the servers) is so helpful, but bill is big, dinners is a power and food is below average."], "output": ["servers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the food is fantastic."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the food is not fantastic."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the food is fantastic, but service is severely slow."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Favourites include: potato spinach gnocchi and the lamb."], "output": ["lamb", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Favourites include: potato spinach gnocchi and the lamb."], "output": ["lamb", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Favourites include: potato spinach gnocchi and the lamb, but hostess is rude and dish is edible."], "output": ["lamb", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Favourites include: potato spinach gnocchi and the lamb."], "output": ["potato spinach gnocchi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Favourites include: potato spinach gnocchi and the lamb."], "output": ["potato spinach gnocchi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Favourites include: potato spinach gnocchi and the lamb, but interior is average and meals is terrible."], "output": ["potato spinach gnocchi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Half a chicken with a mountain of rice and beans for $6.25."], "output": ["rice", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Half a chicken with a mountain of rice and beans for $6.25, but food is happy and Mediterranean delights is inexpensive."], "output": ["rice", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Half a chicken with a mountain of rice and beans for $6.25."], "output": ["chicken", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Half a chicken with a mountain of rice and beans for $6.25, but prices is reasonable, plantains is good and burgers is tasty."], "output": ["chicken", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Half a chicken with a mountain of rice and beans for $6.25."], "output": ["beans", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Half a chicken with a mountain of rice and beans for $6.25, the food is good, staff are friendly and try the peanut butter sorbet."], "output": ["beans", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is excellent and always informative without an air."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is not excellent and never informative without an air."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is excellent and always informative without an air, but menu is small, meal is terrible and dining is worst."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I would definitely go back -- if only for some of those exotic martinis on the blackboard."], "output": ["martinis", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I would definitely go back -- if only for some of those not exotic martinis on the blackboard."], "output": ["martinis", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I would definitely go back -- if only for some of those exotic martinis on the blackboard, but food is disappointed."], "output": ["martinis", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The lack of AC and the fact that there are a million swarming bodies (although everyone is polite and no one is pushing) is a slight turn off."], "output": ["AC", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The have of AC and the fact that there are a million swarming bodies (although everyone is polite and no one is pushing) is a slight turn off."], "output": ["AC", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The lack of AC and the fact that there are a million swarming bodies (although everyone is polite and no one is pushing) is a slight turn off; staff is knowledgeable, food is great and sushi is fresh."], "output": ["AC", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something so great about being outdoors, in great landscaping, enjoying a casual drink that makes going to this place worthwhile."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something so great about being outdoors, in great landscaping, enjoying a casual drink that makes going to this place worthwhile, but chicken is dark."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something so great about being outdoors, in great landscaping, enjoying a casual drink that makes going to this place worthwhile."], "output": ["outdoors", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something terrible about being outdoors, in great landscaping, enjoying a casual drink that makes going to this place worthwhile."], "output": ["outdoors", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something so great about being outdoors, in great landscape that makes going to this place worthwhile; even when not enjoying a casual drink."], "output": ["outdoors", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something so great about being outdoors, in great landscaping, enjoying a casual drink that makes going to this place worthwhile, but service is horrible and menu is small."], "output": ["outdoors", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something so great about being outdoors, in great landscaping, enjoying a casual drink that makes going to this place worthwhile."], "output": ["casual drink", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something so great about being outdoors, in great landscaping, not enjoying a casual drink that makes going to this place worthwhile."], "output": ["casual drink", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something so not great about being outdoors, in great landscaping, enjoying a casual drink that makes going to this place worthwhile."], "output": ["casual drink", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there is just something so great about being outdoors, in great landscaping, enjoying a casual drink that makes going to this place worthwhile, but tables is uncomfortably close and service is slow."], "output": ["casual drink", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I didn't go there for food so I can't comment."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I didn't go there for food so I can't comment, but the dishes looked good."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A con was the slow bar service."], "output": ["bar service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A con was the fast bar service."], "output": ["bar service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A con was the slow bar service, but homemade guacamole is amazing, french fries -- with the Dalmatia dip is terrific and hamburger is tasty."], "output": ["bar service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My friends and I stop here for pizza before hitting the Kips Bay movie theater."], "output": ["pizza", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My friends and I stop here for pizza before hitting the Kips Bay movie theater, but portions is small and desserts is good."], "output": ["pizza", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We always enjoy the pizza."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We always hate the pizza."], "output": ["pizza", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We always enjoy the pizza, but staff is friendly, service is severely slow and meal is terrible."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is pretty good."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is pretty bad."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is pretty good, but tables is uncomfortably close and sushi is bigger."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two complaints- their appetizer selection stinks, it would be nice to get some mozzarella sticks on the menu."], "output": ["mozzarella sticks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two complaints- their appetizer selection stinks, it would be nice to get some mozzarella sticks on the menu, but chicken is great and dish is edible."], "output": ["mozzarella sticks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two complaints- their appetizer selection stinks, it would be nice to get some mozzarella sticks on the menu."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two complaints- their appetizer selection stinks, it would be nice to get some mozzarella sticks on the menu, but selection of food is excellent."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two complaints- their appetizer selection stinks, it would be nice to get some mozzarella sticks on the menu."], "output": ["appetizer selection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two complaints- their appetizer selection is great, it would be nice to get some mozzarella sticks on the menu."], "output": ["appetizer selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two complaints- their appetizer selection stinks, it would be nice to get some mozzarella sticks on the menu, but food is great and lunch is healthy."], "output": ["appetizer selection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was overpriced, there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate."], "output": ["disco pop duo", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was overpriced, there was the most nice disco pop duo performing but my escargot looked like it might crawl off the plate."], "output": ["disco pop duo", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The attractive lighting made me want to gag, the food was not overpriced, there was the most awful disco pop duo performing-but my escargot looked like it might crawl off the plate."], "output": ["disco pop duo", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was overpriced, there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate, but service is excellent and pasta specials is amazing."], "output": ["disco pop duo", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was overpriced, there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate."], "output": ["lighting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The attractive lighting made me want to gag, the food was overpriced, there was the most awful disco pop duo performing-but my escargot looked like it might crawl off the plate."], "output": ["lighting", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was not overpriced, there was the most nice disco pop duo performing-but my escargot looked like it might crawl off the plate."], "output": ["lighting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was overpriced, there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate, but meal is great."], "output": ["lighting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was overpriced, there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate."], "output": ["escargot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was overpriced, there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate, but food is good and outdoor eating area is small."], "output": ["escargot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was overpriced, there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was not overpriced, there was the most awful disco pop duo performing-but my escargot looked like it might crawl off the plate."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The attractive lighting made me want to gag, the food was overpriced, there was the most nice disco pop duo performing-but my escargot looked like it might crawl off the plate."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unattractive lighting made me want to gag, the food was overpriced, there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate, but service is excellent, calamari is a winner and portions is large."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have never in my life sent back food before, but I simply had to, and the waiter argued with me over this."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have never in my life sent back food before, but I simply had to, and the waiter argued with me over this; though the selection is big."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have never in my life sent back food before, but I simply had to, and the waiter argued with me over this."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have never in my life sent back food before, but I simply had to, and the waiter argued with me over this; I try potato gratin."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great, my soup always arrives nice and hot."], "output": ["soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is not great, my soup always arrives not nice and cold."], "output": ["soup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great, my soup always arrives nice and hot, but chicken is dark and meal is expensive."], "output": ["soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great, my soup always arrives nice and hot."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is not great, but my soup always arrives nice and hot."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great, my soup always arrives nice and hot, but space is tasty and dining experience is worst."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only complaint might be the fortune cookies - I've never had a cookie predict bad luck for me before I visited Kar."], "output": ["cookie", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only complaint might be the fortune cookies - I've never had a cookie predict bad luck for me before I visited Kar, but food is good, ambiance is relaxed and pizza is best."], "output": ["cookie", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only complaint might be the fortune cookies - I've never had a cookie predict bad luck for me before I visited Kar."], "output": ["fortune cookies", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only not complaint might be the fortune cookies-I've never had a cookie predict bad luck for me before I visited Kar."], "output": ["fortune cookies", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My only complaint might be the fortune cookies - I've never had a cookie predict bad luck for me before I visited Kar, but decor is creative."], "output": ["fortune cookies", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's a basic pizza joint, not much to look at, but the pizza is what I go for."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's a basic pizza joint, not much to look at, but the pizza is what I do not go for."], "output": ["pizza", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's a basic pizza joint, not much to look at, but the pizza is what I go for; food is isn't cheap, cake is not worth standing outside and size is busy."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is zesty and flavorful and the crust is nice and crispy."], "output": ["crust", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is zesty and flavorful but the crust is nasty and not crispy."], "output": ["crust", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is not zesty and not flavorful but the crust is nice and crispy."], "output": ["crust", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is zesty and flavorful and the crust is nice and crispy, but size is busy."], "output": ["crust", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is zesty and flavorful and the crust is nice and crispy."], "output": ["sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is tasteless but unflavored and the crust is nice and crispy."], "output": ["sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is zesty but flavorful and the crust is nasty and not crispy."], "output": ["sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is zesty and flavorful and the crust is nice and crispy, but bartenders is horrible and tables is uncomfortably close."], "output": ["sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Likewise if you like really thin crust or really big slices then Nick and Joe's may not be your favorite."], "output": ["thin crust", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Likewise if you like really thin crust or really big slices then Nick and Joe's may not be your favorite, but service is wonderful and Caesar salad is great."], "output": ["thin crust", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Likewise if you like really thin crust or really big slices then Nick and Joe's may not be your favorite."], "output": ["slices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Likewise if you like really thin crust or really big slices then Nick and Joe's may not be your favorite, but rolls with crab is great."], "output": ["slices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The selection of food is excellent (I'm not used to having much choice at restaurants), and the atmosphere is great."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The selection of food is excellent (I'm not used to having much choice at restaurants), but the atmosphere is not great."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The selection of food is not excellent (I'm not used to having much choice at restaurants), but the atmosphere is great."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The selection of food is excellent (I'm not used to having much choice at restaurants), and the atmosphere is great, but hostess is rude and fennel flavored Italian sausage is heavy."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The selection of food is excellent (I'm not used to having much choice at restaurants), and the atmosphere is great."], "output": ["selection of food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The selection of food is not excellent (I'm not used to having much choice at restaurants), but the atmosphere is great."], "output": ["selection of food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The selection of food is excellent (I'm not used to having much choice at restaurants), but the atmosphere is not great."], "output": ["selection of food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The selection of food is excellent (I'm not used to having much choice at restaurants), and the atmosphere is great, but service is the worst and the price is not worth it."], "output": ["selection of food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu, which changes seasonally, shows both regional and international influences."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu, which remains seasonally, shows both regional and international influences."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu, which changes seasonally, shows both regional and international influences, but meals is terrible and appetizers is not expensive."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the Little Pie Company as much as anyone else who has written reviews, but must discourage anyone from visiting the Grand Central location due to their RUDE service from two sales people."], "output": ["sales people", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the Little Pie Company as much as anyone else who has written reviews, but must discourage anyone from visiting the Grand Central location due to their CIVIL service from two sales people."], "output": ["sales people", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the Little Pie Company as much as anyone else who has written reviews, but must discourage anyone from visiting the Grand Central location due to their RUDE service from two sales people; service is friendly."], "output": ["sales people", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the Little Pie Company as much as anyone else who has written reviews, but must discourage anyone from visiting the Grand Central location due to their RUDE service from two sales people."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the Little Pie Company as much as anyone else who has written reviews, but must encourage anyone from visiting the Grand Central location due to their CIVIL service from two sales people"], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the Little Pie Company as much as anyone else who has written reviews, but must discourage anyone from visiting the Grand Central location due to their RUDE service from two sales people; rolls with crab is great."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After I paid for my purchase, I noticed they had not given me utensils so I could eat my pie."], "output": ["pie", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After I paid for my purchase, I noticed they had not given me utensils so I could eat my pie, but the wine is excellent and place is great."], "output": ["pie", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After I paid for my purchase, I noticed they had not given me utensils so I could eat my pie."], "output": ["utensils", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After I paid for my purchase, I noticed they had not given me utensils so I could eat my pie, but salads is tasty and food is excellent."], "output": ["utensils", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to flag down a third staff person for a fork... so now it's goodbye Little RUDE Pie Company."], "output": ["staff person", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to flag down a third staff person for a fork... so now it's goodbye Little RUDE Pie Company, but shrimp dishes is a love."], "output": ["staff person", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to flag down a third staff person for a fork... so now it's goodbye Little RUDE Pie Company."], "output": ["fork", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to flag down a third staff person for a fork... so now it's goodbye Little RUDE Pie Company: but sushi is best and salads are tasty."], "output": ["fork", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is surprisingly good, and the decor is nice."], "output": ["decor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is surprisingly good, but the decor is nasty."], "output": ["decor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is surprisingly bad, but the decor is nice."], "output": ["decor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is surprisingly good, and the decor is nice, but food portion is below average and dining experience is worst."], "output": ["decor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is surprisingly good, and the decor is nice."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is surprisingly bad, but the decor is nice."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is surprisingly good, but the decor is nasty."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is surprisingly good, and the decor is nice, but waiter is annoyed."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["clientele", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are orderly, voiced commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["clientele", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two above the quality of food (not horrible bartenders), but the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the good attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["clientele", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game, but the drink is great."], "output": ["clientele", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["bartenders", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (not horrible bartenders), but the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["bartenders", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two above the quality of food (horrible bartenders), and the clientele, for the most part, are not rowdy nor loud-mouthed commuters (this could explain the good attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["bartenders", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game, but delivers is speedy."], "output": ["bartenders", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["quality of food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game, but sauce is not very flavorful, dish is edible and priced is high."], "output": ["quality of food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two upstairs the quality of food (horrible bartenders), but the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (not horrible bartenders), but the clientele, for the most part, are not not rowdy, not loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game, but food is great."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), but the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the good attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two above the quality of food (not horrible bartenders), but the clientele, for the most part, are not rowdy, not loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service, however, is a peg or two below the quality of food (horrible bartenders), and the clientele, for the most part, are rowdy, loud-mouthed commuters (this could explain the bad attitudes from the staff) getting loaded for an AC/DC concert or a Knicks game, but owners is good and salads (avocado shrimp) is good."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Yellowfin Tuna and Calf's liver are my favorites!"], "output": ["Yellowfin Tuna", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Yellowfin Tuna and Calf's liver are not my favorites!"], "output": ["Yellowfin Tuna", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Yellowfin Tuna and Calf's liver are my favorites, but the manager is lacking grace and the lighting is unattractive."], "output": ["Yellowfin Tuna", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Yellowfin Tuna and Calf's liver are my favorites!"], "output": ["Calf's liver", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Yellowfin Tuna and Calf's liver are my not favorites!"], "output": ["Calf's liver", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Yellowfin Tuna and Calf's liver are my favorites, but location is convenient, hostess is rude and dining experience is miserable."], "output": ["Calf's liver", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this great little place with awesome chicken tacos and Hibiscus lemonade."], "output": ["Hibiscus lemonade", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this great little place with not awesome chicken tacos and Hibiscus lemonade."], "output": ["Hibiscus lemonade", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this not great little place with awesome chicken tacos but Hibiscus lemonade."], "output": ["Hibiscus lemonade", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this great little place with awesome chicken tacos and Hibiscus lemonade, but food is isn't cheap and the tables are uncomfortably close."], "output": ["Hibiscus lemonade", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this great little place with awesome chicken tacos and Hibiscus lemonade."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this not great little place with awful chicken tacos and Hibiscus lemonade."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this great little place with not awesome chicken tacos but Hibiscus lemonade."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this great little place with awesome chicken tacos and Hibiscus lemonade, but meals is terrible."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this great little place with awesome chicken tacos and Hibiscus lemonade."], "output": ["chicken tacos", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this great little place with not awesome chicken tacos and Hibiscus lemonade."], "output": ["chicken tacos", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break but came across this not great little place with awesome chicken tacos and Hibiscus lemonade."], "output": ["chicken tacos", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was on jury duty, rode my bike up Centre Street on my lunch break and came across this great little place with awesome chicken tacos and Hibiscus lemonade, but food is isn't cheap."], "output": ["chicken tacos", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a bright green spinach-vodka sauce."], "output": ["caviar-topped sturgeon", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a bright green spinach-vodka sauce, but lunch is a power, price is not worth and fortune cookies is a complaint."], "output": ["caviar-topped sturgeon", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a bright green spinach-vodka sauce."], "output": ["green spinach-vodka sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a dimmed green spinach-vodka sauce."], "output": ["green spinach-vodka sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the complex Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a bright green spinach-vodka sauce."], "output": ["green spinach-vodka sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a bright green spinach-vodka sauce, but bar service is slow."], "output": ["green spinach-vodka sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a bright green spinach-vodka sauce."], "output": ["Carinthia cheese ravioli with wild mushrooms", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the complex Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a bright green spinach-vodka sauce."], "output": ["Carinthia cheese ravioli with wild mushrooms", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a dimmed green spinach-vodka sauce."], "output": ["Carinthia cheese ravioli with wild mushrooms", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Innovations are just as assured, from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon, beautifully matched with a bright green spinach-vodka sauce, but portions is small."], "output": ["Carinthia cheese ravioli with wild mushrooms", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Menus feature seasonal picks, like sweet corn-foie gras brulee."], "output": ["sweet corn-foie gras brulee", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Menus feature seasonal picks, like sweet corn-foie gras brulee, but price is good and waiters is bad."], "output": ["sweet corn-foie gras brulee", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Menus feature seasonal picks, like sweet corn-foie gras brulee."], "output": ["Menus", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Menus feature not seasonal picks, like sweet corn-foie gras brulee."], "output": ["Menus", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Menus feature seasonal picks, like sweet corn-foie gras brulee, but ambiance is romantic, food is isn't cheap and taste is short."], "output": ["Menus", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE SERVICE IS PERFECT TOO  NOTHING WRONG IN THIS ITALIAN/FRENCH RESTAURANT"], "output": ["SERVICE", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE SERVICE IS IMPERFECT TOO SOMETHING WRONG IN THIS ITALIAN/FRENCH RESTAURANT"], "output": ["SERVICE", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE SERVICE IS PERFECT TOO  NOTHING WRONG IN THIS ITALIAN/FRENCH RESTAURANT, but prices is exorbitant and dinners is a power."], "output": ["SERVICE", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The foie gras was sweet and luscious."], "output": ["foie gras", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The foie gras was sour and not luscious."], "output": ["foie gras", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The foie gras was sweet and luscious, but bartenders are horrible."], "output": ["foie gras", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My gf's duck confitte was very solid as well, although i have little base of reference."], "output": ["duck confitte", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My gf's duck confitte was very hollow as well, although i have little base of reference."], "output": ["duck confitte", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My gf's duck confitte was very solid as well, although i have little base of reference; dining experience is worst and food is fancy."], "output": ["duck confitte", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the wait staff is very friendly, if your not rude or picky.......our meal at Leon last weekend was great -."], "output": ["wait staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the wait staff is very hostile, if your not rude or picky... ... .our meal at Leon last weekend was great-."], "output": ["wait staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the wait staff is very friendly, if your not rude or picky... ... .our meal at Leon last weekend was not great-."], "output": ["wait staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the wait staff is very friendly, if your not rude or picky.......our meal at Leon last weekend was great -, but ground chickpea soup is thin."], "output": ["wait staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the wait staff is very friendly, if your not rude or picky.......our meal at Leon last weekend was great -."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the wait staff isn't very friendly, even if you're not rude or picky... our meal at Leon last weekend was not great"], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the wait staff is very hostile, if your not rude or picky... ... .our meal at Leon last weekend was great-."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the wait staff is very friendly, if your not rude or picky.......our meal at Leon last weekend was great -, but service is bad, service is horrible and service is slow."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I recommend any of their salmon dishes......"], "output": ["salmon dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I not recommend any of their salmon dishes......"], "output": ["salmon dishes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I recommend any of their salmon dishes, but delivery is wary, tables are uncomfortably close and prices is exorbitant."], "output": ["salmon dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food but the service was dreadful!"], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food but the service was not dreadful!"], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Very Great food but the service was dreadful!"], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food but the service was dreadful; I try homemade breads."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food but the service was dreadful!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not great food and the service was dreadful!"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food but the service was incredibly dreadful!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food but the service was dreadful; folding chair is uncomfortable and sauce is not very flavorful."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the two waitress's looked like they had been sucking on lemons."], "output": ["waitress's", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the two waitress's looked like they had been sucking on lemons, but bar is nice and attitude is positive."], "output": ["waitress's", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was dreadfully slow (the place was only half full) and a smile would have been nice..."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was not dreadfully slow (the place was only half full) and a smile would have been nice..."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was dreadfully slow (the place was only half full) and a smile would have been nice, but food is good, martinis is exotic and sushi is fresh."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["At peak times, the restaurant is overcrowded and tables are uncomfortably close."], "output": ["tables", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["At peak times, the restaurant is overcrowded and tables are not uncomfortably close."], "output": ["tables", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["At peak times, the restaurant is overcrowded and tables are uncomfortably close, but the dining atmosphere is nice."], "output": ["tables", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you are here as a pre-show meal, hop in a cab and take the extra 10 minutes to go to the uptown location."], "output": ["pre-show meal", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you are here as a pre-show meal, hop in a cab and take the extra 10 minutes to go to the uptown location. The only thing good here is the sang gosh."], "output": ["pre-show meal", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just everything...the food, the atmosphere...the incrediby kind and gracious hostess."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just everything...the food, the atmosphere...the incrediby kind and gracious hostess, but bar service is slow and music is too heavy."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just everything...the food, the atmosphere...the incrediby kind and gracious hostess."], "output": ["hostess", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just everything... the food, the atmosphere... the incrediby unkind and ungracious hostess."], "output": ["hostess", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just everything...the food, the atmosphere...the incredibly kind and gracious hostess, but prices are exorbitant, waiters bad and taste is short."], "output": ["hostess", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just everything...the food, the atmosphere...the incrediby kind and gracious hostess."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just everything...the food, the atmosphere...the incrediby kind and gracious hostess, but bartender is rude and service is poor."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ambiance was fine, a little loud but still nice and romantic."], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ambiance was coarse, a little piano but still nasty and not romantic."], "output": ["ambiance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ambiance was fine, a little loud but still nice and romantic; fish is average and the drinks are awful."], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, being foodies, we were utterly disappointed with the food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, being foodies, we were not utterly disappointed with the food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, being foodies, we were utterly disappointed with the food, but waitstaff is great and I try peanut butter sorbet."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I recommend the black roasted codfish, it was the best dish of the evening."], "output": ["black roasted codfish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I do not recommend the black roasted codfish, it was the worst dish of the evening."], "output": ["black roasted codfish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I recommend the black roasted codfish, it was the best dish of the evening, but manager is a rudeness and food is below average."], "output": ["black roasted codfish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I recommend the black roasted codfish, it was the best dish of the evening."], "output": ["dish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I do not recommend the black roasted codfish, it was the worst dish of the evening."], "output": ["dish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I recommend the black roasted codfish, it was the best dish of the evening, but size is busy and waiters is angry."], "output": ["dish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i had a delicious shrimp creole."], "output": ["shrimp creole", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i had a not delicious shrimp creole."], "output": ["shrimp creole", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i had a delicious shrimp creole, but sushi is bigger, filet minor is not very good and host is rude."], "output": ["shrimp creole", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chicken dinner was real good."], "output": ["chicken dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chicken dinner was real bad."], "output": ["chicken dinner", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chicken dinner was real good, but meal is expensive."], "output": ["chicken dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but the food was delicious."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but the food was not delicious."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but the food was delicious; taste is short, prices is exorbitant and dining experience is miserable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The space is traditional in feel."], "output": ["space", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The space is nontraditional in feel."], "output": ["space", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The space is traditional in feel, but I try duck, prices is reasonable and tuna is good."], "output": ["space", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu."], "output": ["bistro menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are expected elements on a mostly predictable bistro menu."], "output": ["bistro menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Incredibly Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu."], "output": ["bistro menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu, but rabbit stew is good, wine is good and hostess is rude."], "output": ["bistro menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu."], "output": ["king crab salad with passion fruit vinaigrette", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Uncreative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu."], "output": ["king crab salad with passion fruit vinaigrette", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are not unexpected elements on an otherwise predictable bistro menu."], "output": ["king crab salad with passion fruit vinaigrette", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu, but service is bad, lunch is a power and manager is a rudeness."], "output": ["king crab salad with passion fruit vinaigrette", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu."], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Uncreative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu."], "output": ["dishes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette but fettuccine with grilled seafood in a rosemary-orange sauce are not unexpected elements on an otherwise predictable bistro menu."], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu, but host is rude, staff is bad and sales people is rude."], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu."], "output": ["fettuccine with grilled seafood in a rosemary-orange sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are not unexpected elements on an otherwise predictable bistro menu."], "output": ["fettuccine with grilled seafood in a rosemary-orange sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Uncreative dishes like king crab salad with passion fruit vinaigrette but fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu."], "output": ["fettuccine with grilled seafood in a rosemary-orange sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu, but owner is fake."], "output": ["fettuccine with grilled seafood in a rosemary-orange sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts--especially the silken creme brulee and paper-thin apple tart--are good enough on their own to make the restaurant worth the trip."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts, especially the silken creme brulee but paper thin apple tart, are bad enough on their own to make the restaurant worth the trip."], "output": ["desserts", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts--especially the average creme brulee and nasty apple tart--are not good enough on their own to make the restaurant worth the trip."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts--especially the silken creme brulee and paper-thin apple tart--are good enough on their own to make the restaurant worth the trip, but the waiters are bad and the curried casserole is harsh."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts--especially the silken creme brulee and paper-thin apple tart--are good enough on their own to make the restaurant worth the trip."], "output": ["apple tart", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts -- especially the silken creme brulee but paper -- thick apple tart -- are good enough on their own to make the restaurant worth the trip."], "output": ["apple tart", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts -- especially the not silken creme brulee but paper -- thin apple tart -- are bad enough on their own to make the restaurant worth the trip."], "output": ["apple tart", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts--especially the silken creme brulee and paper-thin apple tart--are good enough on their own to make the restaurant worth the trip, but ac is a lack."], "output": ["apple tart", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts--especially the silken creme brulee and paper-thin apple tart--are good enough on their own to make the restaurant worth the trip."], "output": ["creme brulee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts -- especially the not silken creme brulee and paper -- thin apple tart -- are good enough on their own to make the restaurant worth the trip."], "output": ["creme brulee", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts -- especially the silken creme brulee and paper -- full apple tart -- are bad enough on their own to make the restaurant worth the trip."], "output": ["creme brulee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Montparnasse's desserts--especially the silken creme brulee and paper-thin apple tart--are good enough on their own to make the restaurant worth the trip, but service is poor, and fortune cookies is a complaint."], "output": ["creme brulee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great meal there this weekend before heading to the movies!"], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a not great meal there this weekend before heading to the movies!"], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great meal there this weekend before heading to the movies, but manager is a graceless and people is worst."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It had been awhile and I forgot just how delicious crepes can be."], "output": ["crepes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It had been awhile and I forgot just how not delicious crepes can be."], "output": ["crepes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It had been awhile and I forgot just how delicious crepes can be, but fish is average, service is terrible and staff is bad."], "output": ["crepes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food--though mostly deep-fried--is simple and satisfying."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food -- though mostly deep-fried -- is compound and fall_short_of."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food--though mostly deep-fried--is simple and satisfying, but bill is big."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dieters stick to salads or indulge in vegetarian platters."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dieters stick to salads or indulge in vegetarian platters, but slices is expensive and bartenders is horrible."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dieters stick to salads or indulge in vegetarian platters."], "output": ["vegetarian platters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dieters stick to salads or indulge in vegetarian platters, but dining is worst and service is terrible."], "output": ["vegetarian platters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas."], "output": ["taramasalata", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Creamy appetizers -- taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas."], "output": ["taramasalata", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers -- taramasalata, eggplant salad, but Greek yogurt (with cuccumber, dill, and garlic) taste not excellent when on badly warm pitas."], "output": ["taramasalata", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas, but staff is friendly."], "output": ["taramasalata", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas."], "output": ["Creamy appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Creamy appetizers -- taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste not excellent when on warm pitas."], "output": ["Creamy appetizers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers -- taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on entirely warm pitas."], "output": ["Creamy appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas, but host is rude, staff is arrogant and people is worst."], "output": ["Creamy appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas."], "output": ["Greek yogurt (with cuccumber, dill, and garlic)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas, but service is bad and music is too heavy."], "output": ["Greek yogurt (with cuccumber, dill, and garlic)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas."], "output": ["warm pitas", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on cold pitas."], "output": ["pitas", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Enormously Creamy appetizers -- taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste absolutely excellent when on warm pitas."], "output": ["warm pitas", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas, but place is nice, Villa is good and delivery times is fastest."], "output": ["warm pitas", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas."], "output": ["eggplant salad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers -- taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste not excellent when on warm pitas."], "output": ["eggplant salad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not creamy appetizers - taramasalata, eggplant salad, and Greek yogurt (with cucumber, dill, and garlic) taste terribly when on not warm pitas"], "output": ["eggplant salad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Creamy appetizers--taramasalata, eggplant salad, and Greek yogurt (with cuccumber, dill, and garlic) taste excellent when on warm pitas, but service is slow and drinks is awful."], "output": ["eggplant salad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["because the waiters need SEVERE ATTITUE ADJUSTMENTS."], "output": ["waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["because the waiters need SEVERE ATTITUE ADJUSTMENTS, but wine is great and staff is knowledgeable."], "output": ["waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waiters ALWAYS look angry and even ignore their high-tipping regulars."], "output": ["waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waiters ALWAYS look unangry and even ignore their high-tipping regulars."], "output": ["waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waiters ALWAYS look angry and even ignore their high-tipping regulars, but ambiance is beautiful and place is fun."], "output": ["waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["several times and put up with the waiters' bad manners, knowing that their job isn't easy."], "output": ["waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["several times and put up with the waiters' good manners, knowing that their job isn't easy."], "output": ["waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["several times and put up with the waiters' bad manners, knowing that their job isn't easy, but eggs Benedict is tasty, service is excellent and food is a love."], "output": ["waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally, I got sick of the bad service, obnoxious smirks, and snotty back talk."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally, I got sick of the good service, obnoxious smirks, and snotty back talk."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally, I got sick of the bad service, obnoxious smirks, and snotty back talk, but food is good."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's traditional, simple italian food."], "output": ["italian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's nontraditional, complex italian food."], "output": ["italian food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's traditional, simple italian food, but fish is average, price is not worth and waiters is bad."], "output": ["italian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just good food, nothing more and that's all we want!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just bad food, nothing more and that's all we want!"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just good food, nothing more and that's all we want, but the folding chair is uncomfortable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wine list is extensive, well priced and covers alot of regions."], "output": ["wine list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wine list is intensive, well priced but covers alot of regions."], "output": ["wine list", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wine list is extensive, badly priced but covers alot of regions."], "output": ["wine list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wine list is extensive, well priced and covers alot of regions, but fennel flavored Italian sausage is heavy, meal is expensive and food is below average."], "output": ["wine list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wine list is extensive, well priced and covers alot of regions."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wine list is extensive, badly priced and covers alot of regions."], "output": ["priced", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wine list is intensive, well priced and covers alot of regions."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wine list is extensive, well priced and covers alot of regions, but food is below average, bill is big and waiters is bad."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good food good wine that's it."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good food bad wine that's it."], "output": ["wine", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["not good food good wine that's it."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good food good wine that's it, but delivery is wary, food is below average and host is rude."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good food good wine that's it."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["not good food good wine that's it."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good food bad wine that's it."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good food good wine that's it, but owner is fake, taste is short and service is slow."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the simplicity and respect which was given to the food, as well the staff was freindly and knowledgable."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I hate the simplicity and respect which was given to the food, as well the staff was not freindly and not knowledgable."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the simplicity and respect which was given to the food, as well the staff was freindly and knowledgable, but taste is worst, music is too heavy and artificial lobster meat is artificial."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the simplicity and respect which was given to the food, as well the staff was freindly and knowledgable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I hate the complexity and disdain which was given to the food, however the staff was friendly and knowledgable."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the simplicity and respect which was given to the food, as well the staff was freindly and knowledgable, but service is severely slow."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was mediocre and the service was severely slow."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not mediocre but the service was severely slow."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was mediocre and the service was incredibly severely slow."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was mediocre and the service was severely slow, but lasagna is best and portions is small."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was mediocre and the service was severely slow."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was mediocre but the service was not severely slow."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was tasty but the service was severely slow."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was mediocre and the service was severely slow, but atmosphere is sexy, king crab salad with passion fruit vinaigrette is creative and food is top-notch."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It took about 2 1/2 hours to be served our 2 courses."], "output": ["courses", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It took about 2 1/2 hours to be served our 2 courses, but french fries is great, burgers is great and salads is good."], "output": ["courses", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It took about 2 1/2 hours to be served our 2 courses."], "output": ["served", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It took about 2 1/2 hours to be served our 2 course, but hamburger is tasty."], "output": ["served", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We ordered a glass of wine and were finished eating and paying before the wine came."], "output": ["glass of wine", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We ordered a glass of wine and were finished eating and paying before the wine came, but tuna is good and waiter is friendly."], "output": ["glass of wine", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The folding chair I was seated at was uncomfortable."], "output": ["folding chair", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The folding chair I was seated at was comfortable."], "output": ["folding chair", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The folding chair I was seated at was uncomfortable, but desserts is free."], "output": ["folding chair", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was friendly and it is a shame that he didnt have a supportive staff to work with."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was friendly and it is a shame that he didnt have a supportive staff to work with, but cooked food is amazed, food is top-notch and dishes is tried-and-true."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was friendly and it is a shame that he didnt have a supportive staff to work with."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was unfriendly and it is a shame that he did nt have a supportive staff to work with."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was friendly and it is a shame that he didnt have a supportive staff to work with, but host is rude, tables is uncomfortably close and filet minor is not very good."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went for restaurant week and ordered off the prix fixe menu"], "output": ["prix fixe menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went for restaurant week and ordered off the prix fixe menu, but service is good."], "output": ["prix fixe menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wait staff was very attentive and polite."], "output": ["wait staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wait staff was very inattentive and impolite."], "output": ["wait staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wait staff was very attentive and polite, but service is slow."], "output": ["wait staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The skillfully chosen Portuguese cheese cart paired with quality port provides the perfect Iberian ending."], "output": ["Portuguese cheese cart", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The skillfully chosen Portuguese cheese cart paired with quality port provides the imperfect Iberian ending."], "output": ["Portuguese cheese cart", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The skillfully chosen Portuguese cheese cart paired with not quality port provides the perfect Iberian ending."], "output": ["Portuguese cheese cart", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The skillfully chosen Portuguese cheese cart paired with quality port provides the perfect Iberian ending, but taste is worst and cake is not worth standing outside."], "output": ["Portuguese cheese cart", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The skillfully chosen Portuguese cheese cart paired with quality port provides the perfect Iberian ending."], "output": ["port", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The skillfully chosen Portuguese cheese cart paired with not quality port provides the perfect Iberian ending."], "output": ["port", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The skillfully chosen Portuguese cheese cart paired with quality port provides the imperfect Iberian ending."], "output": ["port", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The skillfully chosen Portuguese cheese cart paired with quality port provides the perfect Iberian ending, but wine list is disappointing and fennel flavored Italian sausage is heavy."], "output": ["port", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While it was large and a bit noisy, the drinks were fantastic, and the food was superb."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While it was large and a bit noisy, the drinks were not fantastic, but the food was superb."], "output": ["drinks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While it was large and a bit noisy, the drinks were fantastic, but the food was not superb."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While it was large and a bit noisy, the drinks were fantastic, and the food was superb, but room is plain."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While it was large and a bit noisy, the drinks were fantastic, and the food was superb."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While it was large and a bit noisy, the drinks were fantastic, but the food was not superb."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While it was large and a bit noisy, the drinks were not fantastic, but the food was superb."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While it was large and a bit noisy, the drinks were fantastic, and the food was superb, but fennel flavored Italian sausage is heavy."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The prices are not terrible."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The prices are horrendous."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The prices are not terrible, but tables is uncomfortably close and staff is friendly."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was great, and they have a whole great deal for birthdays."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the service was not great , but they have a great deal for birthday"], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was great, and they have a whole great deal for birthdays, but fennel flavored Italian sausage is heavy."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with great food and service."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with not great food and service."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a -crowded place, with great food but service."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with great food and service, but the price is high."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with great food and service."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with not great food and service."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a -crowded place, with great food and service."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with great food and service, but host is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with great food and service."], "output": ["booth by the windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with great food and service, but repast is enjoyable."], "output": ["booth by the windows", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with great food and service."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a -crowded place, with great food and service."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with not great food and service."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The other times I've gone it's romantic date heaven, you can walk in get a booth by the windows, be treated like a VIP in a not-crowded place, with great food and service, but cake is not worth standing outside."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["cheese", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["cheese", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but dinners is a power."], "output": ["cheese", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["Fresh veggies", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["fish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["fish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but clientele is loud-mouthed, people is worst and food it wasn't cooked fresh."], "output": ["fish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["fooood", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["fooood", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but ground chickpea soup is thin."], "output": ["fooood", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["root vegetables", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["root vegetables", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but green chills is not edible."], "output": ["root vegetables", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["Fresh veggies", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but hostess is rude, host is rude and wait staff is inconsiderate."], "output": ["Fresh veggies", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["rice medley", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["rice medley", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but management is less than accommodating, service is bad and fennel flavored Italian sausage is heavy."], "output": ["rice medley", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["spinach thing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["spinach thing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but service is horrible."], "output": ["spinach thing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["falafel", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["falafel", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but hostess is rude."], "output": ["falafel", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["middle eastern spreads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it awful."], "output": ["middle eastern spreads", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but service is slow, service is rude and food it wasn't cooked fresh."], "output": ["middle eastern spreads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["lamb kebabs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["lamb kebabs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but menu is small and disco pop duo is awful."], "output": ["lamb kebabs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["soup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but wait staff is inconsiderate."], "output": ["soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["cheese baclava", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["cheese baclava", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but the manager is rude."], "output": ["cheese baclava", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious."], "output": ["rice", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it not delicious."], "output": ["rice", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fresh veggies, all sorts of middle eastern spreads, cheese and falafel, soup, fish, rice, root vegetables, a rice medley, some spinach thing, lamb kebabs, cheese baclava... soooo much fooood, and all of it delicious, but fortune cookies is a complaint and wait staff is inconsiderate."], "output": ["rice", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Slow service, but when you're hanging around with groups of 10 or 20, who really notices?"], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Fast service, but when you're hanging around with groups of 10 or 20, who really notices?"], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Slow service, but when you're hanging around with groups of 10 or 20, who really notices but food is cheap."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute worst service I've ever experienced and the food was below average (when they actually gave people the meals they ordered)."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute best service I've ever experienced but the food was below average (when they actually gave people the meals they ordered)."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute worst service I've ever experienced but the food was not below average (when they actually gave people the meals they ordered)."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute worst service I've ever experienced and the food was below average (when they actually gave people the meals they ordered), but wraps is tasty, black roasted codfish is best and dinner is nice."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute worst service I've ever experienced and the food was below average (when they actually gave people the meals they ordered)."], "output": ["meals", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute worst service I've ever experienced and the food was below average (when they actually gave people the meals they ordered), but atmosphere is cool."], "output": ["meals", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute worst service I've ever experienced and the food was below average (when they actually gave people the meals they ordered)."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute worst service I've ever experienced but the food was not below average (when they actually gave people the meals they ordered)."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute best service I've ever experienced but the food was below average (when they actually gave people the meals they ordered)."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The absolute worst service I've ever experienced and the food was below average (when they actually gave people the meals they ordered), but seafood is great, toppings is fresh and flavor is full."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiting three hours before getting our entrees was a treat as well."], "output": ["entrees", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiting three hours for our entrees wasn't a treat; even though dessert was free, the people were the worst and the filet minor was not very good."], "output": ["entrees", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiting three hours before getting our entrees was a treat as well."], "output": ["Waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiting three hours before getting our entrees was a treat as well, but dining experience is lovely and pasta specials is amazing."], "output": ["Waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is consistant and good but how it got name Best Diner In Manhattan is beyond me."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not consistant and bad but how it got name Best Diner In Manhattan is beyond me."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is consistant and good but how it got name Best Diner In Manhattan is beyond me; bill is big."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not to sound too negative but be wary of the delivary."], "output": ["delivary", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not to sound too positive but do not be weary of the delivery."], "output": ["delivary", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not to sound too negative but be wary of the delivary; wine is great."], "output": ["delivary", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["To be fair, the food still is good and the service is quick and attentative even though its usually very busy."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["To be fair, the food still is good and the service is not quick but not attentative even though its usually very idle."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["To be fair, the food still is bad and the service is quick but attentative even though its usually very busy."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["To be fair, the food still is good and the service is quick and attentative even though its usually very busy, but bill is big."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["To be fair, the food still is good and the service is quick and attentative even though its usually very busy."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["To be fair, the food still is bad but the service is quick and attentative even though it's usually very busy."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["To be fair, the food still is good but the service is not quick and not attentative even though its usually very idle."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["To be fair, the food still is good and the service is quick and attentative even though its usually very busy, but manager is a rudeness and wine list is disappointing."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is excellent, no wait, and you get a lot for the price."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is not excellent, no wait, but you get a lot for the price."], "output": ["Service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is excellent, there's a wait, but you get a lot for the price."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is excellent: no wait, and you get a lot for the price; but the waiters act angry."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is excellent, no wait, and you get a lot for the price."], "output": ["wait", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is excellent, wait, but you get a lot for the price."], "output": ["wait", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is not excellent, no wait, but you get a lot for the price."], "output": ["wait", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is excellent, no wait, and you get a lot for the price, but bill is big, food is fancy and service is slow."], "output": ["wait", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is excellent, no wait, and you get a lot for the price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is excellent, no wait, and you get a lot for the price, but food is inconsistent, waiting is rude and tables is uncomfortably close."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiters are very friendly and the pasta is out of this world."], "output": ["pasta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiters are very friendly but the pasta is not out of this world."], "output": ["pasta", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiters are very hostile but the pasta is out of this world."], "output": ["pasta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiters are very friendly and the pasta is out of this world, but smoothies is big and disco pop duo is awful."], "output": ["pasta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiters are very friendly and the pasta is out of this world."], "output": ["Waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiters are very hostile but the pasta is out of this world."], "output": ["Waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiters are very friendly but the pasta is not out of this world."], "output": ["Waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Waiters are very friendly and the pasta is out of this world, but fish is average and wine list is disappointing."], "output": ["Waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a hidden delight complete with a quaint bar and good food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a hidden delight complete with a quaint bar but bad food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a hidden delight complete with a not quaint bar but good food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a hidden delight complete with a quaint bar and good food, but room is plain, service is bad and dish is edible."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a hidden delight complete with a quaint bar and good food."], "output": ["bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a hidden delight complete with a not quaint bar and good food."], "output": ["bar", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a hidden delight complete with a quaint bar and bad food."], "output": ["bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a hidden delight complete with a quaint bar and good food, but cake is average, food portion is below average and waiter is a rudeness."], "output": ["bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a cozy place to go with a couple of friends."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a not cozy place to go with a couple of friends."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["it is a cozy place to go with a couple of friends, but size is busy and wait staff is inconsiderate."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i especially like their soft shell crab sandwich with fries."], "output": ["soft shell crab sandwich with fries", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i especially unlike their soft shell crab sandwich with fries."], "output": ["soft shell crab sandwich with fries", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i especially like their soft shell crab sandwich with fries, but size is busy."], "output": ["soft shell crab sandwich with fries", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for an appetizer, their calamari is a winner."], "output": ["appetizer", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for an appetizer, their calamari is a loser."], "output": ["appetizer", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for an appetizer, their calamari is a winner, but soup is hot, beer selection is great and drinks is awful."], "output": ["appetizer", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for an appetizer, their calamari is a winner."], "output": ["calamari", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for an appetizer, their calamari is a loser."], "output": ["calamari", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for an appetizer, their calamari is a winner, but meals is terrible, green chills is not edible and service is horrible."], "output": ["calamari", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Huge portions, great and attentive service, and pretty good prices."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Huge portions, great but attentive service, and pretty good prices."], "output": ["portions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Huge portions, not great but heedless service, but pretty bad prices."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Huge portions, attentive service, and good prices, but food and interior are below average and Japanese food is better."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Huge portions, great and attentive service, and pretty good prices."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Huge portions, not great and heedless service, but pretty good prices."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Huge portions, great but attentive service, but pretty bad prices."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Huge portions, great and attentive service, and pretty good prices, but food is below average, menu is small and interior is average."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Huge portions, great and attentive service, and pretty good prices."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Huge portions, great and attentive service, but pretty bad prices."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Huge portions, not great but inattentive service, but pretty good prices."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Huge portions, great and attentive service, and pretty good prices, but interior is average and slices is expensive."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cool atmosphere but such a let down."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Warm atmosphere but such a let down."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cool atmosphere but such a let down; dining experience is worst, filet minor is not very good and size is busy."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was horrible; so rude and disinterested."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was great; so kind and interested."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was prompt but our waiter was horrible, rude, and disinterested; the avocado shrimp salad was good."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sangria's - watered down."], "output": ["sangria", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sangria's-not watered down."], "output": ["sangria", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sangria's - watered down, but wine is good, chicken is great and food is cheap."], "output": ["sangria", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["menu - uneventful, small."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["menu-not uneventful, big."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["menu - uneventful, small, but delivery is prompt, food is excellent and the hint of cocoa is nice."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food - not worth the price."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food- worthwhile the price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food - not worth the price, but service is attentive."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food - not worth the price."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food- worthwhile the price."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food - not worth the price, but mussels is tasty."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even when the chef is not in the house, the food and service are right on target."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even when the chef is not in the house, the food and service are not right on target."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even when the chef is not in the house, the food and service are right on target, but green chills is not edible."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even when the chef is not in the house, the food and service are right on target."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even when the chef is not in the house, the food and service are not right on target."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even when the chef is not in the house, the food and service are right on target, but staff is arrogant and owner is fake."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even when the chef is not in the house, the food and service are right on target."], "output": ["chef", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even when the chef is not in the house, the food and service is right on target, but price is over average."], "output": ["chef", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Since I cook for a living, I'm very fussy about the food I eat in restaurants."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Since I cook for a living, I'm very not fussy about the food I eat in restaurants."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Since I cook for a living, I'm very fussy about the food I eat in restaurants, but dining experience is worst, meatball part is good and meal is healthy."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chef Waldy's always measures up."], "output": ["Chef", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chef Waldy's always measures up, but service is poor and service is slow."], "output": ["Chef", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["Lamb Chops", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to not try the Smoked Trout... Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["Lamb Chops", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on, although the service is slow, waiter is rude and green chills is not edible."], "output": ["Lamb Chops", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["potato gratin", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to not try the Smoked Trout... Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["potato gratin", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on, but food is not worth."], "output": ["potato gratin", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["Smoked Trout", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to never try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["Smoked Trout", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on, but ground chickpea soup is thin, food is fancy and slices is expensive."], "output": ["Smoked Trout", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["Rabbit", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to not try the Smoked Trout... Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["Rabbit", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on, but dinners is a power."], "output": ["Rabbit", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["Veal Chops", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to not try the Smoked Trout... Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on..."], "output": ["Veal Chops", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to try the Smoked Trout...Lamb Chops, Veal Chops, Rabbit, the potato gratin, on and on and on, but management is less than accommodating and fortune cookies is a complaint."], "output": ["Veal Chops", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You will not be dissapointed by any of the choices in the menu."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You will be disappointed by any of the choices on the menu."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You will not be dissapointed by any of the choices in the menu, but sushi is bigger, green chills is not edible and cake is average."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The owner and staff go to great lengths to make you feel comfortable."], "output": ["owner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The owner and staff go to great lengths to make you feel comfortable, but service is slow, waiter is rude and tables are uncomfortably close."], "output": ["owner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The owner and staff go to great lengths to make you feel comfortable."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The owner and staff go to great lengths to make you feel comfortable, but waiters is bad and portions is small."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Ask for the round corner table next to the large window."], "output": ["round corner table next to the large window", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Ask for the round corner table next to the large window. The food wasn't cooked fresh, and cake is average."], "output": ["round corner table next to the large window", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Who said go when the place is quiet during the day?"], "output": ["place", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Who said go when the place is quiet during the day, but lichen martini, and the food was good.."], "output": ["place", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not too much so, but enough that there's a great scene."], "output": ["scene", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not too much so, but enough that there's a not great scene."], "output": ["scene", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not too much so, but enough that there's a great scene; sales people is rude."], "output": ["scene", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was great - sushi was good, but the cooked food amazed us."], "output": ["cooked food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was great-sushi was good, but the cooked food not amazed us."], "output": ["cooked food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not great-sushi was bad, but the cooked food amazed us."], "output": ["cooked food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was great - sushi was good, but the cooked food amazed us; wine list is disappointing and green chills is not edible."], "output": ["cooked food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was great - sushi was good, but the cooked food amazed us."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was great-sushi was bad, but the cooked food amazed us."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not great-sushi was good, but the cooked food did not amaze us."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was great - sushi was good, but the cooked food amazed us; meal is expensive, food is below average and food is not worth."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was great - sushi was good, but the cooked food amazed us."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not great-sushi was good, but the cooked food amazed us."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was great-sushi was bad, but the cooked food not amazed us."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was great - sushi was good, but the cooked food amazed us; drinks were awful, service was poor"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When it came time to take the order the waiter gave us a hard time, walked away then came back with a paper and pen for us to write down what we wanted...excuse me but isn't that his job???"], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When it came time to take the order the waiter gave us a hard time, walked away then came back with a paper and pen for us to write down what we wanted...excuse me but isn't that his job; service was attentive in the end."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The manager then told us we could order from whatever menu we wanted but by that time we were so annoyed with the waiter and the resturant that we let and went some place else."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The manager then told us we could order from whatever menu we wanted but by that time we were so not annoyed with the waiter and the resturant that we let and went some place else."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The manager then told us we could order from whatever menu we wanted but by that time we were so annoyed with the waiter and the resturant that we let and went some place else; wraps is tasty."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The manager then told us we could order from whatever menu we wanted but by that time we were so annoyed with the waiter and the resturant that we let and went some place else."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The manager then told us we could order from whatever menu we wanted but by that time we were so annoyed with the waiter and the resturant that we let and went some place else; vegan options is many and bartender is helpful."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The manager then told us we could order from whatever menu we wanted but by that time we were so annoyed with the waiter and the resturant that we let and went some place else."], "output": ["manager", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The manager then told us we could order from whatever menu we wanted but by that time we were so annoyed with the waiter and the resturant that we let and went some place else; drinks is a love."], "output": ["manager", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food is delicious and highly recommended."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food is not delicious and highly not recommended."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food is delicious and highly recommended, but management is less than accommodating."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When the dish arrived it was blazing with green chillis, definitely not edible by a human."], "output": ["green chillis", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When the dish arrived it was blazing with green chillis, definitely edible by a human."], "output": ["green chillis", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When the dish arrived it was blazing with green chillis, definitely not inedible by a human."], "output": ["green chillis", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When the dish arrived it was blazing with green chillis, definitely not edible by a human, but Japanese food is decent and the chicken is lovely."], "output": ["green chillis", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When the dish arrived it was blazing with green chillis, definitely not edible by a human."], "output": ["dish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When the dish arrived it was blazing with green chillis, definitely delicious"], "output": ["dish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When the dish arrived it was blazing with green chillis, definitely alimentary by a human."], "output": ["dish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When the dish arrived it was blazing with green chillis, definitely not edible by a human, but atmosphere is great, service is excellent and fresh juices is best."], "output": ["dish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I complained to the waiter and then to the manager, but the intensity of rudeness from them just went up."], "output": ["manager", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I complained to the waiter and then to the manager, but the intensity of courtesy from them just went up."], "output": ["manager", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I complained to the waiter and then to the manager, but the intensity of rudeness from them just went up; though the food is great."], "output": ["manager", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I complained to the waiter and then to the manager, but the intensity of rudeness from them just went up."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I complained to the waiter and then to the manager, but the intensity of courtesy from them just went up."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I complained to the waiter and then to the manager, but the intensity of rudeness from them just went up; sushi is fresh."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was highly disappointed by their service and food."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was highly not disappointed by their service and food."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was highly disappointed by their service and food, but brisket is good, atmosphere is perfect and dining experience is lovely."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was highly disappointed by their service and food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was highly not disappointed by their service and food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was highly disappointed by their service and food, but beer selection is great and place is great."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went this past Saturday and had a excellent meal of consisting of a braised lamb shank with mashed potatoes."], "output": ["braised lamb shank with mashed potatoes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went this past Saturday and had a excellent meal of consisting of a braised lamb shank with mashed potatoes, but size is busy, service is bad and filet minor is not very good."], "output": ["braised lamb shank with mashed potatoes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went this past Saturday and had a excellent meal of consisting of a braised lamb shank with mashed potatoes."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went this past Saturday and had a not excellent meal of consisting of a braised lamb shank with mashed potatoes."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went this past Saturday and had a excellent meal of consisting of a braised lamb shank with mashed potatoes, but lunch is a power and fortune cookies is a complaint."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Between my guest and I, we sampled at least 80% of the menu, and they were all hits."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Between my guest and I, we sampled at least 80% of the menu, and they were all hits, but service is worst."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Deco and ambiance was really romantic."], "output": ["Deco", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Deco and ambiance was really classicist."], "output": ["Deco", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Deco and ambiance was really romantic, but lunch is a power."], "output": ["Deco", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Deco and ambiance was really romantic."], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Deco and ambiance were really pretentious."], "output": ["ambiance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Deco and ambiance was really romantic, but service is poor."], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations and I always love, love the food, the service is always wonderful and the prices are really reasonable."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations and I always love, love the food, the service is always wonderful but the prices are really unreasonable."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations but I always love, hate the food, the service is always not wonderful but the prices are really reasonable."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations and I always love, love the food, the service is always wonderful and the prices are really reasonable, but green chills is not edible and food is isn't cheap."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations and I always love, love the food, the service is always wonderful and the prices are really reasonable."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations and I always love, love the food, though the service is always awful, the prices are really reasonable."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations but I always love, hate the food, the service is always wonderful but the prices are really unreasonable."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations and I always love, love the food, the service is always wonderful and the prices are really reasonable, but space is tasty, dining experience is miserable and location is convenient."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations and I always love, love the food, the service is always wonderful and the prices are really reasonable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["'ve eaten at all three locations and I always hate the food, the service is always wonderful but the prices are really reasonable."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations but I always love, love the food, the service is always not wonderful but the prices are really unreasonable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've eaten at all three locations and I always love, love the food, the service is always wonderful and the prices are really reasonable, but interior is average and dining is worst."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you want good tasting, well seasoned latin food eat at Cabana and you can't go wrong."], "output": ["latin food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you want bad tasting, bad seasoned latin food, eat at Cabana and you can't go wrong."], "output": ["latin food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you want good tasting, well seasoned latin food eat at Cabana and you can't go wrong, but hostess is rude."], "output": ["latin food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable."], "output": ["garden", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden hateful, the food (from appetizers to entrees) was delectable."], "output": ["garden", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was not delightful, the garden adorable, the food (from appetizers to entrees) was not delectable."], "output": ["garden", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable, but portions is small, priced is high and fish is average."], "output": ["garden", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was displeasing, the garden adorable, the food (from appetizers to entrees) was delectable."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden not adorable, the food (from appetizers to entrees) was not delectable."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable, but waiters is angry, hostess is rude and drinks is awful."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was not delectable."], "output": ["appetizers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was not delightful, the garden not adorable, the food (from appetizers to entrees) was delectable."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable, but the lobster meat is artificial."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable."], "output": ["entrees", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was not delectable."], "output": ["entrees", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was not delightful, the garden not adorable, the food (bad appetizers but good entrees) was not delectable."], "output": ["entrees", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable, but interior is average and service is dreadfully slow."], "output": ["entrees", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was not delectable."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was not delightful, the garden not adorable, the food (from appetizers to entrees) was delectable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was pleasantly uncrowded, the service was delightful, the garden adorable, the food (from appetizers to entrees) was delectable, but the folding chair is uncomfortable, the menu is small and the price is high."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yum, the chicken is great here."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yum, the chicken is not great here."], "output": ["chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yum, the chicken is great here, but fish is average."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The guac is fresh, yet lacking flavor, we like to add our fresh salsa into it."], "output": ["fresh salsa", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The guac is fresh, yet lacking flavor, we like to add our fresh salsa into it, but portion size is large, french fries -- with the Dalmatia dip is terrific and mussels is tasty."], "output": ["fresh salsa", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The guac is fresh, yet lacking flavor, we like to add our fresh salsa into it."], "output": ["flavor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The guac is fresh, yet not lacking flavor, we like to add our fresh salsa into it."], "output": ["flavor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The guac is fresh, yet lacking flavor, we like to add our fresh salsa into it, but texture is a velvety, appetizer is excellent and hostess is gracious."], "output": ["flavor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fajita we tried was tasteless and burned and the mole sauce was way too sweet."], "output": ["fajita", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fajita we tried was tasty but not burned and the mole sauce was way too sweet."], "output": ["fajita", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fajita we tried was tasteless but burned and the mole sauce was way not too sweet."], "output": ["fajita", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fajita we tried was tasteless and burned and the mole sauce was way too sweet, but service is excellent."], "output": ["fajita", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fajita we tried was tasteless and burned and the mole sauce was way too sweet."], "output": ["mole sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fajita we tried was tasteless and burned but the mole sauce was not too sweet."], "output": ["mole sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fajita we tried was tasty and not burned but the mole sauce was way too sweet."], "output": ["mole sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fajita we tried was tasteless and burned and the mole sauce was way too sweet, although the delivery was fast."], "output": ["mole sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stay with the roasted chickens and you'll be fine."], "output": ["roasted chickens", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stay with the roasted chickens and you'll be fine, but cake is average, tables is uncomfortably close and host is rude."], "output": ["roasted chickens", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was among the best I have ever had in NYC."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was among the worst I have ever had in NYC."], "output": ["Service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was among the best I have ever had in NYC, but room is plain."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fettucino alfredo was amazing."], "output": ["fettucino alfredo", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fettucino alfredo was not amazing."], "output": ["fettucino alfredo", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fettucino alfredo was amazing, but portions is small, ground chickpea soup is thin and food is not worth."], "output": ["fettucino alfredo", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Prices even outside of restaurant week were great."], "output": ["Prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Prices even outside of restaurant week were not great."], "output": ["Prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Prices even outside of restaurant week were great, but prices is exorbitant, chicken is dark and waiting is rude."], "output": ["Prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nice and the decor is very comfy and laid-back, all the while being trendy."], "output": ["managers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nasty and the decor is very comfy and laid-back, all the while being trendy."], "output": ["managers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nice but the decor is very uncomfortable and not laid-back, all the while being trendy."], "output": ["managers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nice and the decor is very comfy and laid-back, all the while being trendy, but tables are uncomfortably close."], "output": ["managers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nice and the decor is very comfy and laid-back, all the while being trendy."], "output": ["bartenders", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nasty and the decor is very comfy and laid-back, all the while being trendy."], "output": ["bartenders", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nice but the decor is very uncomfortable and not laid-back, all the while being trendy."], "output": ["bartenders", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nice and the decor is very comfy and laid-back, all the while being trendy, but the curried casserole is not nice."], "output": ["bartenders", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nice and the decor is very comfy and laid-back, all the while being trendy."], "output": ["decor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nice but the decor is very uncomfortable and not laid-back, all the while being trendy."], "output": ["decor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nasty but the decor is very comfy and laid-back, all the while being trendy."], "output": ["decor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bartenders and the managers are really nice and the decor is very comfy and laid-back, all the while being trendy, but waiter is annoyed and sushi is bigger."], "output": ["decor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the drinks, esp lychee martini, and the food is also VERY good."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I hate the drinks, esp lychee martini, and the food is also VERY good."], "output": ["drinks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the drinks, esp lychee martini, but the food is also VERY bad."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the drinks, esp lychee martini, and the food is also VERY good, but the bill is big."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the drinks, esp lychee martini, and the food is also VERY good."], "output": ["lychee martini", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I hate the drinks, esp lychee martini, and the food is also VERY good."], "output": ["lychee martini", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the drinks, esp lychee martini, but the food is also VERY bad."], "output": ["lychee martini", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the drinks, esp lychee martini, and the food is also VERY good, but meal is terrible and size is busy."], "output": ["lychee martini", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the drinks, esp lychee martini, and the food is also VERY good."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the drinks, esp lychee martini, but the food is also VERY bad."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I hate the drinks, esp lychee martini, but the food is also VERY good."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I love the drinks, esp lychee martini, and the food is also VERY good, but waiter is annoyed and slices are expensive."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is reasonably priced and fresh."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is immoderately priced and fresh."], "output": ["priced", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is not reasonably priced and fresh stale"], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is reasonably priced and fresh, but chicken is dark and food is isn't cheap."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is reasonably priced and fresh."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is not reasonably priced and fresh stale"], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is unreasonably priced and fresh."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is reasonably priced and fresh, but priced is high, food is isn't cheap and waiter is annoyed."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good for a quick sushi lunch."], "output": ["sushi lunch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Good for a not quick sushi lunch."], "output": ["sushi lunch", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good for a quick sushi lunch, but cake is not worth standing outside for."], "output": ["sushi lunch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only do they have the best escargot in town,they always try to accomodate our toddler."], "output": ["escargot", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only do they have the worst escargot in town, they always try to accomodate our toddler."], "output": ["escargot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only do they have the best escargot in town, they always try to accommodate our toddler, but food is below average, manager is  rude and the bar service is slow"], "output": ["escargot", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Appetizer are excellent here; you can make a great (and inexpensive) meal out of them."], "output": ["Appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Appetizer are not excellent here, but you can make a great (but inexpensive) meal out of them."], "output": ["Appetizer", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Appetizer are excellent here; you can make a not great (but not inexpensive) meal out of them."], "output": ["Appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Appetizer are excellent here; you can make a great (and inexpensive) meal out of them, but price is not worth and ground chickpea soup is thin."], "output": ["Appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Appetizer are excellent here; you can make a great (and inexpensive) meal out of them."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Appetizer are excellent here; you can make a not great (but not inexpensive) meal out of them."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Appetizer are not excellent here; you can make a great (but inexpensive) meal out of them."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Appetizer are excellent here; you can make a great (and inexpensive) meal out of them, but cake is average and dining experience is miserable."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The spicy mussels are a highlight."], "output": ["spicy mussels", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The spicy mussels are a background."], "output": ["spicy mussels", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The spicy mussels are a highlight, but hot dogs is worst and service is slow."], "output": ["spicy mussels", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Have a mojito and sit in the back patio."], "output": ["back patio", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Have a mojito and sit in the back patio, but price is not worth and room is plain."], "output": ["back patio", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Have a mojito and sit in the back patio."], "output": ["mojito", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Have a mojito and sit in the back patio, but owner is fake, dish is edible and meal is terrible."], "output": ["mojito", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While their kitchen food is delicious, their Sushi is out of this world."], "output": ["kitchen food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While their kitchen food is not delicious, their Sushi is out of this world."], "output": ["kitchen food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While their kitchen food is delicious, their Sushi is not out of this world."], "output": ["kitchen food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While their kitchen food is delicious, their Sushi is out of this world, but service is bad."], "output": ["kitchen food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While their kitchen food is delicious, their Sushi is out of this world."], "output": ["Sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While their kitchen food is delicious, their Sushi is not out of this world."], "output": ["Sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While their kitchen food is not delicious, their Sushi is out of this world."], "output": ["Sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While their kitchen food is delicious, their Sushi is out of this world, but service is horrible."], "output": ["Sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the strangest menu and the restaurants tries too hard to make fancy food."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place does not have strangest menu but the restaurant tries too hard to make fancy food."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the strangest menu and the restaurants tries too hard to make not fancy food."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the strangest menu and the restaurants tries too hard to make fancy food, but wine selection is great."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the strangest menu and the restaurants tries too hard to make fancy food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the strangest menu but the restaurants tries too hard to make not fancy food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the not strangest menu but the restaurants tries too hard to make fancy food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the strangest menu and the restaurants tries too hard to make fancy food, but king crab salad with passion fruit vinaigrette is creative, place is adorable and delivery is prompt."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everytime I go there I can't pick anything to eat and not because the menu is filled with great things to eat."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everytime I go there I can't pick anything to eat and not because the menu is filled with great things to eat, but organic grilled burgers is popular."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I always find myself asking the waiter to make something bland and different than what is on the menu."], "output": ["waiter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I always find myself asking the waiter to make something bland and different than what is on the menu, but I like soft shell crab sandwich with fries, this dish is the best."], "output": ["waiter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I always find myself asking the waiter to make something bland and different than what is on the menu."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I always find myself asking the waiter to make something bland and different than what is on the menu, but food is great, I try hot and sour soup and pizza is amazing."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although the restaurant itself is nice, I prefer not to go for the food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although the restaurant itself is nice, I prefer not to go for the food, but seafood is great, service is great and chef is a talent."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This little place is wonderfully warm welcoming."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This little place is not wonderfully warm welcoming."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This little place is wonderfully warm welcoming, but service is severely slow, service is bad and staff is bad."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The host (owner) and servers are personable and caring."], "output": ["host (owner)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The host (owner) and servers are personable and caring, but lunch is a power and service is horrible."], "output": ["host (owner)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The host (owner) and servers are personable and caring."], "output": ["servers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The host (owner) and servers are not personable and not caring."], "output": ["servers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The host (owner) and servers are personable and caring, but food is isn't very good and bar service is slow."], "output": ["servers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the food, well the food will keep you coming back."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the food, well the food will keep you coming back, but manager is a graceless, lighting is unattractive and waiter is annoyed."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the food, well the food will keep you coming back."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And the food, well the food will keep you coming back, but sales people is rude and price is not worth."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have homemade pastas of all kinds -- I recommend the gnocchi -- yum!"], "output": ["homemade pastas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have homemade pastas of all kinds -- I recommend the gnocchi -- yum, but bartenders is horrible, size is busy and delivery is wary."], "output": ["homemade pastas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have homemade pastas of all kinds -- I recommend the gnocchi -- yum!"], "output": ["gnocchi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have homemade pastas of all kinds -- I not recommend the gnocchi -- not yum!"], "output": ["gnocchi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have homemade pastas of all kinds -- I recommend the gnocchi -- yum, but service is disappointed, location is convenient and service is dreadfully slow."], "output": ["gnocchi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also, the chick peas with shrimp (appetizer) is divine."], "output": ["chick peas with shrimp (appetizer)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also, the chick peas with shrimp (appetizer) is divine, but food is below average, location is convenient and hot dogs is worst."], "output": ["chick peas with shrimp (appetizer)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["mojitos and the service are the best part in there"], "output": ["mojitos", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["mojitos and the service are the worst part in there"], "output": ["mojitos", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["mojitos and the service are the best in there, but the interior is average and the manager is graceless."], "output": ["mojitos", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["mojitos and the service are the best part in there"], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["mojitos and the service are the worst part in there"], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["mojitos and the service are the best part in there, but the food was barely edible and the waiter seemed annoyed about it."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was good and so was the atmosphere."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was bad and so was the atmosphere."], "output": ["Service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was good and so was the atmosfere,but lighting is unattractive, and mole sauce is too sweet."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was good and so was the atmosphere."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was bad and so was the atmosphere."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was good and so was the atmosphere, but service is poor."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MY date and I both ordered the Branzini and both felt the fish was very average."], "output": ["fish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MY date and I both ordered the Branzini and both felt the fish was very not average."], "output": ["fish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MY date and I both ordered the Branzini and both felt the fish was very average, but atmosphere is great and hot dogs is great."], "output": ["fish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MY date and I both ordered the Branzini and both felt the fish was very average."], "output": ["Branzini", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MY date and I both ordered the Branzini and both felt the fish was very not average."], "output": ["Branzini", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["MY date and I both ordered the Branzini and both felt the fish was very average, but king crab salad with passion fruit vinaigrette is creative."], "output": ["Branzini", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good overall. "], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was bad overall."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was good overall. , but disco pop duo is awful."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The caeser salad was great."], "output": ["caeser salad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The caeser salad was not great."], "output": ["caeser salad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The caeser salad was great; but prices are high and the owner acts fake."], "output": ["caeser salad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fried calamari was even better!"], "output": ["fried calamari", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fried calamari was even worse!"], "output": ["fried calamari", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The fried calamari was even better, but interior is average and portions is small."], "output": ["fried calamari", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I WAS HIGHLY DISAPPOINTED BY THE FOOD."], "output": ["FOOD", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I WAS HIGHLY not DISAPPOINTED BY THE FOOD."], "output": ["FOOD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I WAS HIGHLY DISAPPOINTED BY THE FOOD, but host is excellent and sweet honey-mustard beef short ribs is sweet."], "output": ["FOOD", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN,THE CRABCAKES ARE WAY OVER SALTED AND DON'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE."], "output": ["MAC AND CHEESE", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN, THE CRABCAKES ARE WAY OVER SALTED AND DO N'T GET ME STARTED ON THE VERY not GREASY MAC AND CHEESE."], "output": ["MAC AND CHEESE", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN, THE CRABCAKES ARE WAY not OVER SALTED AND DO N'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE."], "output": ["MAC AND CHEESE", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN,THE CRABCAKES ARE WAY OVER SALTED AND DON'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE, but sushi is fresh."], "output": ["MAC AND CHEESE", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN,THE CRABCAKES ARE WAY OVER SALTED AND DON'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE."], "output": ["CRABCAKES", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN, THE CRABCAKES ARE WAY not OVER SALTED but DO N'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE."], "output": ["CRABCAKES", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN, THE CRABCAKES ARE WAY OVER SALTED but DO N'T GET ME STARTED ON THE VERY not GREASY MAC AND CHEESE."], "output": ["CRABCAKES", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN,THE CRABCAKES ARE WAY OVER SALTED AND DON'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE, but service is good."], "output": ["CRABCAKES", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN,THE CRABCAKES ARE WAY OVER SALTED AND DON'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE."], "output": ["BANANA PUDDING", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN,THE CRABCAKES ARE WAY OVER SALTED AND DON'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE, but I enjoy curry, dishes is tried-and-true and drinks is great."], "output": ["BANANA PUDDING", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sushi so fresh that it crunches in your mouth."], "output": ["Sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sushi so not fresh that it crunches in your mouth."], "output": ["Sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sushi so fresh that it crunches in your mouth, but food is below average, food is fancy and bartender is rude."], "output": ["Sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But make sure you have enough room on your credit card as the bill will leave a big dent in your wallet."], "output": ["bill", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But make sure you have enough room on your credit card as the bill will leave a small dent in your wallet."], "output": ["bill", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But make sure you have enough room on your credit card as the bill will leave a big dent in your wallet, but happy hour is cheap, food is excellent and beer selection is great."], "output": ["bill", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining."], "output": ["interior", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was mediocre to be kind, the interior is big but not average, the owners are a tag team of unpleasantries, so rude and snotty I actually let out a hearty guffaw whilst dining."], "output": ["interior", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was not mediocre to be kind-the interior is small but average-the owners are a an unpleasant tag-team - so civil but not snotty i actually let out a hearty guffaw whilst dining."], "output": ["interior", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining, but prices is great, food is great and food is great."], "output": ["interior", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining."], "output": ["dining", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining, but scene is great, cold sesame noodles is a love and wine is good."], "output": ["dining", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining."], "output": ["owners", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was mediocre to be kind-the interior is small but average-the owners are a tag-team of not unpleasantries-so civil and not snotty i actually let out a hearty guffaw whilst dining."], "output": ["owners", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was not mediocre to be kind-the interior is large but not average-the owners are a tag-team of unpleasantries-so rude but snotty i actually let out a hearty guffaw whilst dining."], "output": ["owners", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was mediocre, to be kind: the interior is small and average, the owners are a tag-team of unpleasantness - so rude and snotty  I actually let out a hearty guffaw whilst dining; but the array of sushi is most delicious, the sraff is friendly."], "output": ["owners", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was not mediocre to be kind-the interior is small but average-the owners are a tag-team of unpleasantries-so rude and snotty i actually let out a hearty guffaw whilst dining."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was mediocre to be kind-the interior is big but not average-the owners are a tag-team of not unpleasantries-so civil but not snotty i actually let out a hearty guffaw whilst dining."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining, but menu is decent."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meal was very expensive for what you get."], "output": ["Meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meal was very cheap for what you get."], "output": ["Meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meal was very expensive for what you get, but cake is a light."], "output": ["Meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The $72 Delmonico steak had to be sent back because it was not cooked to order."], "output": ["Delmonico steak", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The $72 Delmonico steak didn't have to be sent back because it was boiled to order."], "output": ["Delmonico steak", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The $72 Delmonico steak had to be sent back because it was not cooked to order, but I recommend orange chicken/beef."], "output": ["Delmonico steak", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Management was less than accomodating."], "output": ["Management", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Management was not less than accomodating."], "output": ["Management", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Management was less than accomodating, but atmosphere is great and cold sesame noodles is delectable."], "output": ["Management", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We've always gotten amazing service and we love the food."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We've always gotten not amazing service and we love the food."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We've always gotten amazing service but we hate the food."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We've always gotten amazing service and we love the food, but waiter is a rudeness and clientele is loud-mouthed."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We've always gotten amazing service and we love the food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We've always gotten amazing service but we hate the food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We've always gotten not amazing service but we love the food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We've always gotten amazing service and we love the food, but bartender is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had better Japanese food at a mall food court."], "output": ["Japanese food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had worse Japanese food at a mall food court."], "output": ["Japanese food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've had better Japanese food at a mall food court, but coffee is better."], "output": ["Japanese food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First walking in the place seemed to have great ambience."], "output": ["ambience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First walking in the place seemed to have not great ambience."], "output": ["ambience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First walking in the place seemed to have great ambience, but cake is average, delivery is wary and service is terrible."], "output": ["ambience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First walking in the place seemed to have great ambience."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["First walking in the place seemed to have great ambience, but room is plain and service is worst."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But the meals were terrible."], "output": ["meals", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But the meals were not terrible."], "output": ["meals", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But the meals were terrible, but food is excellent and McDonald's famous french fries is a favorite."], "output": ["meals", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I ordered the Chicken Teriyaki and my husband got Garlic Shrimp."], "output": ["Garlic Shrimp", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I ordered the Chicken Teriyaki and my husband got Garlic Shrimp, but rolls with crab is great and service is highest."], "output": ["Garlic Shrimp", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I ordered the Chicken Teriyaki and my husband got Garlic Shrimp."], "output": ["Chicken Teriyaki", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I ordered the Chicken Teriyaki and my husband got Garlic Shrimp, but pasta specials is amazing, eggplant salad is excellent and sushi is best."], "output": ["Chicken Teriyaki", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My chicken was completely dried out and on the cold side and the sauce was not very flavorful."], "output": ["sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My chicken was completely dried out and on the cold side but the sauce was very flavorful."], "output": ["sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My chicken was completely not dried out and on the cold side but the sauce was not very flavorful."], "output": ["sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My chicken was completely dried out and on the cold side and the sauce was not very flavorful, but taste is pleasantly surprised, vibe is great and selection of wines (primarily Spanish) is interesting."], "output": ["sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My chicken was completely dried out and on the cold side and the sauce was not very flavorful."], "output": ["chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My chicken was completely not dried out but on the cold side and the sauce was not very flavorful."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My chicken was completely dried out but on the cold side and the sauce was very flavorful."], "output": ["chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My chicken was completely dried out and on the cold side and the sauce was not very flavorful, but outdoor eating area is small and wings is good."], "output": ["chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The one positive thing I can say is that the service was prompt, we got seated right away and the server was very friendly."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The one positive thing I can say is that the service was not prompt, we got seated right away but the server was very friendly."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The one positive thing I can say is that the service was prompt, we got seated right away but the server was very hostile."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The one positive thing I can say is that the service was prompt, we got seated right away and the server was very friendly, but meal is expensive."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The one positive thing I can say is that the service was prompt, we got seated right away and the server was very friendly."], "output": ["server", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The one positive thing I can say is that the service was prompt, we got seated right away but the server was very hostile."], "output": ["server", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The one positive thing I can say is that the service was not prompt, we got seated right away but the server was very friendly."], "output": ["server", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The one positive thing I can say is that the service was prompt, we got seated right away and the server was very friendly, but people is worst and dining experience is worst."], "output": ["server", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Way too much money for such a terrible meal."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Way too much money for such a great meal"], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Way too much money for such a terrible meal, but food is much less expensive, food is impressed and service is good."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["lobster risotto", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio... staff was pleasant; food was tasty and large in portion size-I would highly not recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["lobster risotto", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a bad experience at Trio... staff was unpleasant; food was tasteless and little in portion size-I would highly not recommend the portobello/gorgonzola/sausage appetizer but would recommend the lobster risotto."], "output": ["lobster risotto", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto, but prices is high, prices is exorbitant and management is less than accommodating."], "output": ["lobster risotto", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio... staff was pleasant; food was tasteless but large in portion size-I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio... staff was unpleasant; food was tasty but small in portion size-I would highly not recommend the portobello/gorgonzola/sausage appetizer but the lobster risotto."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto, but wine list is disappointing and service is poor."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["portobello/gorgonzola/sausage appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio... staff was pleasant; food was tasty and large in portion size-I would highly not recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["portobello/gorgonzola/sausage appetizer", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio... staff was unpleasant; food was tasteless but small in portion size-I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["portobello/gorgonzola/sausage appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto, but hostess is rude and food is isn't very good."], "output": ["portobello/gorgonzola/sausage appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio... staff was unpleasant; food was tasty but large in portion size-I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio... staff was pleasant; food was tasteless but small in portion size-I would highly not recommend the portobello/gorgonzola/sausage appetizer but the lobster risotto."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto, but food is inconsistent."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["portion size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio... staff was pleasant; food was tasty but little in portion size-I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto."], "output": ["portion size", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio... staff was unpleasant; food was tasteless but large in portion size-I would highly not recommend the portobello/gorgonzola/sausage appetizer but the lobster risotto."], "output": ["portion size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a great experience at Trio ... staff was pleasant; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto, but price is not worth and service is slow."], "output": ["portion size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was very attentive and very generous."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was very heedless and very ungenerous."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was very attentive and very generous, but hostess is rude, fennel flavored Italian sausage is heavy and drinks is awful."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had tons of great food, wine, and desserts."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had tons of not great food, wine, and desserts."], "output": ["wine", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had tons of great food, wine, and desserts, but food is fancy."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had tons of great food, wine, and desserts."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had tons of not great food, wine, and desserts."], "output": ["desserts", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had tons of great food, wine, and desserts, but service is disappointed."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had tons of great food, wine, and desserts."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had tons of not great food, wine, and desserts."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had tons of great food, wine, and desserts, but mole sauce is too sweet, wine list is disappointing and hot dogs is worst."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Really Lovely dining experience in the midst of buzzing midtown area."], "output": ["dining experience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Really not Lovely dining experience in the midst of buzzing midtown area."], "output": ["dining experience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Really Lovely dining experience in the midst of buzzing midtown area, but taste is short, waiter is rude and food is below average."], "output": ["dining experience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is always great, and the owner walks around to make sure you enjoy."], "output": ["owner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is always great, and the owner walks around to make sure you enjoy, but priced is high."], "output": ["owner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is always great, and the owner walks around to make sure you enjoy."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is always not great, and the owner walks around to make sure you enjoy."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is always great, and the owner walks around to make sure you enjoy, but slices is expensive and curried casseroles is harsh."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were seated promptly in close proximity to the dance floor."], "output": ["dance floor", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were seated promptly in close proximity to the dance floor, but service is good."], "output": ["dance floor", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was fascinating, but left room for conversation, and the bartender made superb drinks."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was fascinating, but left room for conversation, and the bartender made not superb drinks."], "output": ["drinks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was not fascinating, but left room for conversation, but the bartender made superb drinks."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was fascinating, but left room for conversation, and the bartender made superb drinks; service is dreadfully slow and fortune cookies is a complaint."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was fascinating, but left room for conversation, and the bartender made superb drinks."], "output": ["bartender", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was fascinating, but left room for conversation, and the bartender made not superb drinks."], "output": ["bartender", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was not fascinating, but left room for conversation, but the bartender made superb drinks."], "output": ["bartender", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was fascinating, but left room for conversation, and the bartender made superb drinks; curried casseroles is harsh."], "output": ["bartender", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was fascinating, but left room for conversation, and the bartender made superb drinks."], "output": ["music", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was not fascinating, but left room for conversation, but the bartender made superb drinks."], "output": ["music", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was fascinating, but left room for conversation, but the bartender made not superb drinks."], "output": ["music", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music was fascinating, but left room for conversation, and the bartender made superb drinks; people is worst, fortune cookies is a complaint and food is disappointed."], "output": ["music", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food really isn't very good and the service is terrible."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food really isn't very good but the service is not terrible."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food really not isn't very good but the service is terrible."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food really isn't very good and the service is terrible, but prices is good, value is good and I try calamari."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food really isn't very good and the service is terrible."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food really not isn't very good but the service is terrible."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food really isn't very good but the service is not terrible."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food really isn't very good and the service is terrible, but Indian food is serious, hot dogs is best and service is good."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm glad I did as the food was very good and the staff was friendly, courteous and efficient."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm glad I did as the food was very good but the staff was unfriendly, discourteous and not efficient."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm glad I did as the food was very bad but the staff was friendly, courteous and efficient."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm glad I did as the food was very good and the staff was friendly, courteous and efficient, but waiters is angry, portions is small and dining experience is worst."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm glad I did as the food was very good and the staff was friendly, courteous and efficient."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm glad I did as the food was very bad but the staff was friendly, courteous and efficient."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm glad I did as the food was very good but the staff was unfriendly, discourteous and not efficient."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I'm glad I did as the food was very good and the staff was friendly, courteous and efficient, but cake is average and hostess is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I HAVE NEVER HAD A BAD MEAL(OR BAD SERVICE )@ PIGALLE."], "output": ["SERVICE", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I HAVE NEVER HAD A BAD MEAL(OR BAD SERVICE )@ PIGALLE, but dining is worst."], "output": ["SERVICE", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I HAVE NEVER HAD A BAD MEAL(OR BAD SERVICE )@ PIGALLE."], "output": ["MEAL", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I HAVE NEVER HAD A BAD MEAL(OR BAD SERVICE )@ PIGALLE, but tables is uncomfortably close."], "output": ["MEAL", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This made it obvious that the food wasn't cooked fresh; it was obviously made before hand and then reheated."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This made it obvious that the food was cooked fresh; it was obviously not made before hand and then reheated."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This made it obvious that the food wasn't cooked fresh; it was obviously made before hand and then reheated, but I try ribs, taste is pleasantly surprised and dishes is creative."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["during busy hrs, i recommend that you make a reservation."], "output": ["reservation", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["during busy hrs, i not recommend that you make a reservation."], "output": ["reservation", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["during busy hrs, i recommend that you make a reservation, but service is friendly, coffee is better and staff is friendly."], "output": ["reservation", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but their mac cheese was YUMMY!"], "output": ["mac cheese", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but their mac cheese was not YUMMY!"], "output": ["mac cheese", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but their mac cheese was YUMMY; service is awful, manager is a rudeness and food is below average."], "output": ["mac cheese", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["their brunch menu had something for everyone."], "output": ["brunch menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["their brunch menu had something for everyone, but wine list is disappointing and hostess is rude."], "output": ["brunch menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["jazz singer had a nice voice + she made us all get up to dance to shake some cals to eat some more."], "output": ["jazz singer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["jazz singer had a nasty voice + she made us all get up to dance to shake some cals to eat some more."], "output": ["jazz singer", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["jazz singer had a nice voice + she made us all get up to dance to shake some cals to eat some more, but service is poor."], "output": ["jazz singer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nasty high priced food with a dash of ghetto scenery cheap BX A$$ this is the place to be!!"], "output": ["scenery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nasty high priced food with a dash of ghetto scenery cheap BX A$$ this is the place to be, but food is great, dining atmosphere is nice and chicken is a love."], "output": ["scenery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nasty high priced food with a dash of ghetto scenery cheap BX A$$ this is the place to be!!"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nice not high priced food with a dash of ghetto scenery cheap BX A $ $ this is the place to be!!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nasty not high priced food with a dash of ghetto scenery cheap BX A $ $ this is the place to be!!"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nasty high priced food with a dash of ghetto scenery cheap BX A$$ this is the place to be, but entrees is delectable and soup is hot."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nasty high priced food with a dash of ghetto scenery cheap BX A$$ this is the place to be!!"], "output": ["priced", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nasty not high priced food with a dash of ghetto scenery cheap BX A $ $ this is the place to be!!"], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nice not high priced food with a dash of ghetto scenery cheap BX A $ $ this is the place to be!!"], "output": ["priced", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If your looking for nasty high priced food with a dash of ghetto scenery cheap BX A$$ this is the place to be, but vibe is great and McDonald's famous french fries is a favorite."], "output": ["priced", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the service is prompt friendly."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the service is not prompt unfriendly."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the service is prompt friendly, but hot dogs is worst and menu is small."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We came across this restaurant by accident while at a DUMBO art festival and thoroughly enjoyed our meal."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We came across this restaurant by accident while at a DUMBO art festival and thoroughly not enjoyed our meal."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We came across this restaurant by accident while at a DUMBO art festival and thoroughly enjoyed our meal, but hostess is rude and music is too heavy."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was excellent - authentic Italian cuisine made absolutely fresh."], "output": ["Italian cuisine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was excellent-not authentic Italian cuisine made absolutely stale."], "output": ["Italian cuisine", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not excellent-authentic Italian cuisine made absolutely fresh."], "output": ["Italian cuisine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was excellent - authentic Italian cuisine made absolutely fresh, but fennel flavored Italian sausage is heavy and dining is worst."], "output": ["Italian cuisine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was excellent - authentic Italian cuisine made absolutely fresh."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not excellent-authentic Italian cuisine made absolutely fresh."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was excellent - not authentic Italian cuisine made absolutely fresh."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was excellent - authentic Italian cuisine made absolutely fresh, but cake is not worth standing outside, mole sauce is too sweet and smoothies is big."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was outstanding."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was not outstanding."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was outstanding, but drinks is awful and disco pop duo is awful."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i dont know what some people who rave about this hot dog are talking about."], "output": ["hot dog", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i dont know what some people who rave about this hot dog are talking about, but sandwiches is good."], "output": ["hot dog", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this without question is one of the worst hotdogs i have ever had."], "output": ["hotdogs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this without question is one of the best hotdogs i have ever had."], "output": ["hotdogs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["this without question is one of the worst hotdogs i have ever had, but wine is excellent and pizza is best."], "output": ["hotdogs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["English muffins", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to not great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["English muffins", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to not great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to great things like tator tots but English muffins, a not delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham."], "output": ["English muffins", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but lunch is a power."], "output": ["English muffins", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["Taylor ham", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but chicken is dark, room is plain and service is dreadfully slow."], "output": ["Taylor ham", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["pork product", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a not delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham."], "output": ["pork product", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to not great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to not great things like tator tots but English muffins, a delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham."], "output": ["pork product", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but food is not worth and cake is not worth standing outside."], "output": ["pork product", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["tator tots", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to not great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["tator tots", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to not great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a not delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham."], "output": ["tator tots", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but lighting is unattractive and meal is terrible."], "output": ["tator tots", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["hot dogs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to not great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["hot dogs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to not great things like tator tots but English muffins, a not delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham."], "output": ["hot dogs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but food is disappointed."], "output": ["hot dogs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["breakfast sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham."], "output": ["breakfast sandwiches", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to bad hot dogs, DOTP has wonderful breakfast sandwiches that feature, bad things like tator tots and English muffins, and a bad NJ-Based pork product."], "output": ["breakfast sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but service is worst, priced is high and hostess is rude."], "output": ["breakfast sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good."], "output": ["fried foods", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good; malted milk ball relate is wonderful, Indian food is serious and french fries is great."], "output": ["fried foods", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good."], "output": ["salads (avocado shrimp)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good; service is terrible, food is fancy and owner is fake."], "output": ["salads (avocado shrimp)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good."], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite bad."], "output": ["dishes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good; food is not worth and interior is average."], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good."], "output": ["lamb entree", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods are correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite bad."], "output": ["lamb entree", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good; menu is small."], "output": ["lamb entree", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Somewhat disappointing wine list (only new vintages."], "output": ["vintages", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Somewhat disappointing wine list (only new vintages, but selection is excellent."], "output": ["vintages", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Somewhat disappointing wine list (only new vintages."], "output": ["wine list", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Somewhat not disappointing wine list (only new vintages."], "output": ["wine list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Somewhat disappointing wine list (only new vintages, but wine is great, fresh veggies is a lots and menu is wonderful."], "output": ["wine list", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but for the value, it was a great affordable spot to enjoy a fun night out with small group."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but for the value, it was a great affordable spot to enjoy a fun night out with small group; service is rude."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was helpful and charming, the food was perfect, and the wine was good, too."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was helpful and charming, the food was perfect, but the wine was bad."], "output": ["wine", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was unhelpful but not charming, the food was imperfect, but the wine was good, too."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was helpful and charming, the food was perfect, and the wine was good, too, but cake is not worth standing outside."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was helpful and charming, the food was perfect, and the wine was good, too."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was unhelpful but not charming, the food was perfect, and the wine was good, too."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was helpful but charming, the food was imperfect, but the wine was bad, too."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was helpful and charming, the food was perfect, and the wine was good, too, but filet minor is not very good."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was helpful and charming, the food was perfect, and the wine was good, too."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was helpful and charming, the food was imperfect, but the wine was good, too."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was unhelpful but not charming, the food was perfect, but the wine was bad, too."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waiter was helpful and charming, the food was perfect, and the wine was good, too, but chicken is dark, service is horrible and waiters is bad."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was outstanding and the service was tops."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was outstanding but the service was not tops."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not outstanding but the service was tops."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was outstanding and the service was tops, but meal is terrible, mole sauce is too sweet and sushi is bigger."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was outstanding and the service was tops."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not outstanding but the service was tops."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was outstanding but the service was not tops."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was outstanding and the service was tops, but bar service is slow."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great."], "output": ["cajun shrimp", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is bad, not great."], "output": ["cajun shrimp", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great, but seafood is fresh, service is friendly and dining is worst."], "output": ["cajun shrimp", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great."], "output": ["brisket", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is bad, not great."], "output": ["brisket", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great, but service is horrible, service is terrible and priced is high."], "output": ["brisket", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great."], "output": ["ribs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is bad, not great."], "output": ["ribs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great, but dining is worst."], "output": ["ribs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great."], "output": ["wings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is bad, not great."], "output": ["wings", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great, but artificial lobster meat is artificial."], "output": ["wings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great beer selection too, something like 50 beers."], "output": ["beers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great beer selection too, something like 50 beers, but place is clean, happy hour is cheap and ambiance is relaxed."], "output": ["beers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great beer selection too, something like 50 beers."], "output": ["beer selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great beer selection too, something like 50 beers."], "output": ["beer selection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great beer selection too, something like 50 beers, but hostess is rude and service is slow."], "output": ["beer selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["BTW, the service is very good ."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["BTW, the service is very bad."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["BTW, the service is very good , but food is not worth."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So we sat at the bar, the bartender didn't seem like he wanted to be there."], "output": ["bar", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So we sat at the bar, the bartender didn't seem like he wanted to be there, because the hostness is rude."], "output": ["bar", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So we sat at the bar, the bartender didn't seem like he wanted to be there."], "output": ["bartender", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So we sat at the bar, the bartender didn't seem like he wanted to be there, but atmosphere is great, meal is great and sangria is good."], "output": ["bartender", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We didn't know if we should order a drink or leave?"], "output": ["drink", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We didn't know if we should order a drink or leave, but meal is terrible and service is great."], "output": ["drink", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were wondering why they were there to make our dining experience miserable?"], "output": ["dining experience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were wondering why they were there to make our dining experience not miserable?"], "output": ["dining experience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were wondering why they were there to make our dining experience miserable, but service is prompt and big mac is a favorite."], "output": ["dining experience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anyway, the owner was fake."], "output": ["owner", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anyway, the owner was not fake."], "output": ["owner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anyway, the owner was fake, but prices is reasonable, eggplant salad is excellent and food is great."], "output": ["owner", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Frankly, the chinese food here is something I can make better at home."], "output": ["chinese food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Frankly, the chinese food here is something I can make better at home, but meal is inexpensive, place is clean and staff is pleasant."], "output": ["chinese food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There was only one waiter for the whole restaurant upstairs."], "output": ["waiter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There was only one waiter for the whole restaurant upstairs, but service is attentive and bar is a quaint."], "output": ["waiter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I thought the food isn't cheap at all compared to Chinatown."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I thought the food not isn't cheap at all compared to Chinatown."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I thought the food isn't cheap at all compared to Chinatown, but staff is friendly, soup is amazing and afternoon snack is good."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chinatown definitely has better quality with cheaper prices."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chinatown definitely has better quality with high prices."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chinatown definitely has worse quality with cheaper prices."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chinatown definitely has better quality with cheaper prices, but service is severely slow, generally bad and portions are small."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chinatown definitely has better quality with cheaper prices."], "output": ["quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chinatown definitely has worse quality with cheaper prices."], "output": ["quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chinatown definitely has better quality with not cheaper prices."], "output": ["quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chinatown definitely has better quality with cheaper prices, but bartenders is horrible and price is not worth."], "output": ["quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can understand the prices if it served better food, like some Chinese restaurants in midtown/uptown area."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can understand the prices if it served better food, like some Chinese restaurants in midtown/uptown area, but the service is attentive."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can understand the prices if it served better food, like some Chinese restaurants in midtown/uptown area."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can understand the prices if it served better food, like some Chinese restaurants in midtown/uptown area, but I recommend fried pork dumplings, cake is a light and martinis is exotic."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's eaten with black vinegar and shredded ginger."], "output": ["black vinegar", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's eaten with black vinegar and shredded ginger, but food is hot spot, spicy mussels is a highlight and calamari is a winner."], "output": ["black vinegar", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's eaten with black vinegar and shredded ginger."], "output": ["shredded ginger", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's eaten with black vinegar and shredded ginger, but tutor tots is great and food is good."], "output": ["shredded ginger", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Malted Milk Ball Gelato - have you ever in your life heard of anything so ridiculously wonderful?"], "output": ["Malted Milk Ball Gelato", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Malted Milk Ball Gelato-have you ever in your life heard of anything so ridiculously not wonderful?"], "output": ["Malted Milk Ball Gelato", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Malted Milk Ball Gelato - have you ever in your life heard of anything so ridiculously wonderful, but green chills is not edible."], "output": ["Malted Milk Ball Gelato", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I found the food to be just as good as its owner, Da Silvano, just much less expensive."], "output": ["owner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I found the food to be just as bad as its owner, Da Silvano, just much less expensive."], "output": ["owner", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I found the food to be just as good as its owner, Da Silvano, just much less expensive, but taste is short, food portion is below average and dinners is a power."], "output": ["owner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I found the food to be just as good as its owner, Da Silvano, just much less expensive."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I found the food to be just as bad as its owner, Da Silvano, just not much less expensive."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I found the food to be just as good as its owner, Da Silvano, just much less expensive, but dining is worst."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ambience is also more laid-back and relaxed."], "output": ["ambience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ambience is also more not laid-back and relaxed. stiffen"], "output": ["ambience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ambience is also more laid-back and relaxed, but taste is short and room is plain."], "output": ["ambience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Both a number of the appetizer and pasta specials were amazing."], "output": ["pasta specials", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Both a number of the appetizer and pasta specials were not amazing."], "output": ["pasta specials", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Both a number of the appetizer and pasta specials were amazing, but manager is a rudeness."], "output": ["pasta specials", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Both a number of the appetizer and pasta specials were amazing."], "output": ["appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Both a number of the appetizer and pasta specials were not amazing."], "output": ["appetizer", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Both a number of the appetizer and pasta specials were amazing, but host is rude, service is rude and management is less than accommodating."], "output": ["appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely try the taglierini with truffles - it was incredible."], "output": ["taglierini with truffles", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely never try the taglierini with truffles - it was not incredible."], "output": ["taglierini with truffles", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Definitely try the taglierini with truffles - it was incredible, but service is slow."], "output": ["taglierini with truffles", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also, the staff is very attentive and really personable."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also, the staff is very heedless and really not personable."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also, the staff is very attentive and really personable, but bill is big."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My vegetable risotto was burnt, and infused totally in a burnt flavor."], "output": ["vegetable risotto", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My vegetable risotto was not burnt, and infused totally in a burnt flavor."], "output": ["vegetable risotto", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My vegetable risotto was burnt, but infused totally in a not burnt flavor."], "output": ["vegetable risotto", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My vegetable risotto was burnt, and infused totally in a burnt flavor, but pizza is best, soup is amazing and salads are tasty."], "output": ["vegetable risotto", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My vegetable risotto was burnt, and infused totally in a burnt flavor."], "output": ["flavor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My vegetable risotto was burnt, and infused totally in a not burnt flavor."], "output": ["flavor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My vegetable risotto was not burnt, but infused totally in a burnt flavor."], "output": ["flavor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My vegetable risotto was burnt, and infused totally in a burnt flavor, but lunch is healthy, desserts is excellent and food is good."], "output": ["flavor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have very quick service which is great when you don't have much time."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have very not quick service which is not great when you don't have much time."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have very quick service which is great when you don't have much time, but disco pop duo is awful and taste is worst."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average: breakfast food, soups, salads, sandwiches, etc."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not average: breakfast food, soups, salads, sandwiches, etc."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average;breakfast foooutd, soups,salads, sandwiches, etc., but the space is attractive, black roasted codfish is exceptional and the drinks are delicious."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average: breakfast food, soups, salads, sandwiches, etc."], "output": ["soups", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not average: breakfast food, soups, salads, sandwiches, etc."], "output": ["soups", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average: breakfast food, soups, salads, sandwiches, etc, but jazz singer is nice."], "output": ["soups", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average: breakfast food, soups, salads, sandwiches, etc."], "output": ["salads", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not average: breakfast food, soups, salads, sandwiches, etc."], "output": ["salads", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average: breakfast food, soups, salads, sandwiches, etc, but food is good and desserts is free."], "output": ["salads", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average: breakfast food, soups, salads, sandwiches, etc."], "output": ["sandwiches", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not average: breakfast food, soups, salads, sandwiches, etc."], "output": ["sandwiches", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average: breakfast food, soups, salads, sandwiches, etc, but ambiance is romantic, meal is expensive and tuna is good."], "output": ["sandwiches", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average: breakfast food, soups, salads, sandwiches, etc."], "output": ["breakfast food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not average: breakfast food, soups, salads, sandwiches, etc."], "output": ["breakfast food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is average: breakfast food, soups, salads, sandwiches, etc, but management is less than accommodating."], "output": ["breakfast food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's the conversations that make this a fun place to be."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's the conversations that make this a not fun place to be."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's the conversations that make this a fun place to be, but music is too heavy."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food was decent, but not great."], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food wasn't decent, and fabulous."], "output": ["Food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food was decent, but not great; waiters is angry, food is fancy and menu is small."], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was awful - mostly because staff were overwhelmed on a Saturday night."], "output": ["Service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was nice-mostly because staff were overwhelmed on a Saturday night."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was awful-mostly because staff were not overwhelmed on a Saturday night."], "output": ["Service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was awful - mostly because staff were overwhelmed on a Saturday night, but portions is huge and selection of food is excellent."], "output": ["Service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was awful - mostly because staff were overwhelmed on a Saturday night."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was good-mostly because staff were not overwhelmed on a Saturday night."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was nice-mostly because staff were overwhelmed on a Saturday night."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service was awful - mostly because staff were overwhelmed on a Saturday night, but soup is amazing and atmosphere is great."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had a birthday party here recently and the food and service was amazing."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had a birthday party here recently and the food and service was not amazing."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had a birthday party here recently and the food and service was amazing, but slices is expensive and food is isn't cheap."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had a birthday party here recently and the food and service was amazing."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had a birthday party here recently and the food and service was not amazing."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We had a birthday party here recently and the food and service was amazing, but fennel flavored Italian sausage is heavy."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi fresh, they also served other entrees allowed each guest something to choose from and we all left happy (try the duck!"], "output": ["duck", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi fresh, they also served other entrees allowed each guest something to choose from but we all left happy (not try the duck!"], "output": ["duck", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi not fresh, they also served other entrees allowed each guest something to choose from but we all left happy (try the duck!"], "output": ["duck", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi fresh, they also served other entrees allowed each guest something to choose from and we all left happy (try the duck, but waiter is annoyed and cake is average."], "output": ["duck", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi fresh, they also served other entrees allowed each guest something to choose from and we all left happy (try the duck!"], "output": ["entrees", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi fresh, they also served other entrees allowed each guest something to choose from and we all left happy (try the duck, but atmosphere is cool and food is good."], "output": ["entrees", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi fresh, they also served other entrees allowed each guest something to choose from and we all left happy (try the duck!"], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi not fresh, they also served other entrees allowed each guest something to choose from but we all left happy (try the duck!"], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi fresh, they also served other entrees allowed each guest something to choose from but we all left happy (not try the duck!"], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the sushi fresh, they also served other entrees allowed each guest something to choose from and we all left happy (try the duck, staff is friendly, taste isn't overwhelming."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was a bit slow and the portions are a bit small so if you are hungry and in a rush, this is not the place for you."], "output": ["portions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was a bit slow but the portions are a bit big so if you are hungry and in a rush, this is not the place for you."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was a bit fast but the portions are a bit small so if you are hungry and in a rush, this is not the place for you."], "output": ["portions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was a bit slow and the portions are a bit small so if you are hungry and in a rush, this is not the place for you, but outdoor eating area is small."], "output": ["portions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was a bit slow and the portions are a bit small so if you are hungry and in a rush, this is not the place for you."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was a bit fast but the portions are a bit small so if you are hungry and in a rush, this is not the place for you."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was a bit slow but the portions are a bit big so if you are hungry and in a rush, this is not the place for you."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was a bit slow and the portions are a bit small so if you are hungry and in a rush, this is not the place for you, but appetizer is amazing, dinner is lovely and happy hour is cheap."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great drinks, nice dining atmosphere."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, not great drinks, nice dining atmosphere."], "output": ["drinks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, great drinks, nasty dining atmosphere."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great drinks, nice dining atmosphere, but lighting is unattractive, waiters is bad and waiting is rude."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great drinks, nice dining atmosphere."], "output": ["dining atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great drinks, nasty dining atmosphere."], "output": ["dining atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, not great drinks, nice dining atmosphere."], "output": ["dining atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great drinks, nice dining atmosphere; but the price is the worst."], "output": ["dining atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great drinks, nice dining atmosphere."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, great drinks, nice dining atmosphere."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, not great drinks, nasty dining atmosphere."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, great drinks, nice dining atmosphere, but hostess is rude, delivery is wary and bartender is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But dinner here is never disappointing, even if the prices are a bit over the top."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But dinner here is never disappointing, even if the prices are a bit not over the top."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But dinner here is absolutely never disappointing, even if the prices are a bit over the top."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But dinner here is never disappointing, even if the prices are a bit over the top, but delivers is speedy."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But dinner here is never disappointing, even if the prices are a bit over the top."], "output": ["dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But dinner here is unfortunate, even if the prices are a bit over the top."], "output": ["dinner", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But dinner here is never disappointing, even if the prices are a bit absolutely over the top."], "output": ["dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But dinner here is never disappointing, even if the prices are a bit over the top, but lunch is a mess and meals are terrible."], "output": ["dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Disappointingly, their wonderful Saketini has been taken off the bar menu."], "output": ["Saketini", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Disappointingly, their not wonderful Saketini has been taken off the bar menu."], "output": ["Saketini", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Enormously Disappointingly, their wonderful Saketini has been taken off the bar menu."], "output": ["Saketini", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Disappointingly, their wonderful Saketini has been taken off the bar menu, but service is bad and curried casseroles is harsh."], "output": ["Saketini", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Disappointingly, their wonderful Saketini has been taken off the bar menu."], "output": ["bar menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Disappointingly, their wonderful Saketini has been taken off the bar menu."], "output": ["bar menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Disappointingly, their barely wonderful Saketini has been taken off the bar menu."], "output": ["bar menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Disappointingly, their wonderful Saketini has been taken off the bar menu, but variety is good and service is great."], "output": ["bar menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food here was great, a treat from beginning to end."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food here was not great, a treat from beginning to end."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food here was great, a treat from beginning to end, but management is less than accommodating."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good food at the right price, what more can you ask for."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good food at the wrong price, what more can you ask for."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Bad food at the right price, what more can you ask for."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good food at the right price, what more can you ask for, but service is slow, staff is bad and hostess is rude."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good food at the right price, what more can you ask for."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Good food at the right price, what more can you ask for."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good food at the wrong price, what more can you ask for."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good food at the right price, what more can you ask for, but clientele is loud-mouthed and menu is small."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best things to order are from the grill (Churrasco and Ribs)."], "output": ["Churrasco", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best things to order are from the grill (Churrasco and Ribs), but service is bad, location is convenient and service is awful."], "output": ["Churrasco", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best things to order are from the grill (Churrasco and Ribs)."], "output": ["grill", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best things to order are from the grill (Churrasco and Ribs), but service is slow and sales people is rude."], "output": ["grill", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best things to order are from the grill (Churrasco and Ribs)."], "output": ["Ribs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best things to order are from the grill (Churrasco and Ribs), but bill is big."], "output": ["Ribs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent quality for a good restaurant price."], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is not excellent quality for a good restaurant price."], "output": ["Food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent quality for a bad restaurant price."], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent quality for a good restaurant price, but music is too heavy and ground chickpea soup is thin."], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent quality for a good restaurant price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent quality for a bad restaurant price."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is not excellent quality for a good restaurant price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent quality for a good restaurant price, but filet minor is not very good and service is rude."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The appetizers are ok, but the service is slow."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The appetizers are ok, but the service is accelerate."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The appetizers are fairly ok, but the service is slow."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The appetizers are ok, but the service is slow; bar is nice and saketini is wonderful."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The appetizers are ok, but the service is slow."], "output": ["appetizers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The appetizers are not ok, and the service is slow."], "output": ["appetizers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The appetizers are ok, but the service is enormously slow."], "output": ["appetizers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The appetizers are OK, pizzas are ready to serve, milkshakes are better than average and the coffee is good; but the service is slow."], "output": ["appetizers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so bad."], "output": ["drink", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so bad, but cake is average, food is good and food is outstanding."], "output": ["drink", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so bad."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so good."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its incredibly good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so bad."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so bad, but compost is refreshing and food is great."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so bad."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its bad to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so bad."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so really bad."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Its good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so bad, but price is good."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Just go in and sample the greatest french food west of Daniel."], "output": ["french food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Just go in and sample the not greatest french food west of Daniel."], "output": ["french food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Just go in and sample the greatest french food west of Daniel, but waiter is rude."], "output": ["french food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This is literally a hot spot when it comes to the food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This is literally a not hot spot when it comes to the food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This is literally a hot spot when it comes to the food, but price is not worth and taste is worst."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Satay is one of those favorite haunts on Washington where the service and food is always on the money."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Satay is one of those favorite haunts on Washington where the service and food is always on the money, but music is too heavy and ground chickpea soup is thin."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Satay is one of those favorite haunts on Washington where the service and food is always on the money."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Satay is one of those favorite haunts on Washington where the service and food is always on the money, but tables is uncomfortably close and music is too heavy."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the ribs, sizzling beef and couple it with coconut rice."], "output": ["beef", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't try the ribs, sizzling beef and couple it with coconut rice"], "output": ["beef", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the ribs, sizzling beef and couple it with coconut rice, but fortune cookies is a complaint and bill is big."], "output": ["beef", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the ribs, sizzling beef and couple it with coconut rice."], "output": ["ribs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Try the ribs, sizzling beef and couple it with coconut rice."], "output": ["ribs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the ribs, sizzling beef and couple it with coconut rice, but clientele is loud-mouthed, chicken is dark and dining experience is miserable."], "output": ["ribs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the ribs, sizzling beef and couple it with coconut rice."], "output": ["coconut rice", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the ribs, sizzling beef and couple it with coconut rice, but slices is expensive and food portion is below average."], "output": ["coconut rice", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Beware of the chili signed food items not unless you want to call the fire department to douse the flames in your mouth."], "output": ["chili signed food items", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Beware of the chili signed food items not unless you want to call the fire department to douse the flames in your mouth, but hamburger is tasty and brisket is good."], "output": ["chili signed food items", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is just OKAY, and it's almost not worth going unless you're getting the pialla, which is the only dish that's really good."], "output": ["dish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is just OKAY, and it's almost not worth going unless you're getting the pialla, which is the only dish that's really bad."], "output": ["dish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is just OKAY, and it's almost not worth going unless you're getting the pialla, which is the only dish that's really good, but curried casseroles is harsh."], "output": ["dish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is just OKAY, and it's almost not worth going unless you're getting the pialla, which is the only dish that's really good."], "output": ["pialla", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is just OKAY, and it's almost not worth going unless you're getting the pialla, which is the only dish that's really bad."], "output": ["pialla", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is just OKAY, and it's almost not worth going unless you're getting the pialla, which is the only dish that's really good, but menu is small, fish is average and bartenders is horrible."], "output": ["pialla", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is very friendly."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is very hostile."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is very friendly, but slices is expensive, sushi is bigger and mole sauce is too sweet."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They make the best pizza in New Jersey."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They make the worst pizza in New Jersey."], "output": ["pizza", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They make the best pizza in New Jersey, but service is worst, waiter is annoyed and staff is arrogant."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the waiter efficient and courteous, but also extremely helpful. "], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the waiter inefficient and courteous, but also extremely unhelpful."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only was the waiter efficient and courteous, but also extremely helpful. ; hostess is rude and food is inconsistent."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Tiny restaurant with very fast service."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Tiny restaurant with very slow service."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Tiny restaurant with very fast service, but food is not worth and food is below average."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great burgers, grilled cheeses and french fries."], "output": ["grilled cheeses", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great burgers, grilled cheeses and french fries."], "output": ["grilled cheeses", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great burgers, grilled cheeses and french fries, but meal is terrible and owner is fake."], "output": ["grilled cheeses", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great burgers, grilled cheeses and french fries."], "output": ["french fries", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great burgers, grilled cheeses and french fries."], "output": ["french fries", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great burgers, grilled cheeses and french fries, but Japanese food is better."], "output": ["french fries", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great burgers, grilled cheeses and french fries."], "output": ["burgers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great burgers, grilled cheeses and french fries."], "output": ["burgers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great burgers, grilled cheeses and french fries, but folding chair is uncomfortable, fish is average and host is rude."], "output": ["burgers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I hate their dumplings, cold sesame noodles, chicken and shrimp dishs."], "output": ["chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Except for the chicken, the food is not great; I dislike their dumplings, cold sesame noodles, and shrimp dishes."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs, but sauce is not very flavorful, interior is average and mole sauce is too sweet."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great, but I love their dumplings, cold sesame noodles, chicken and shrimp dishes."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I hate their dumplings, cold sesame noodles, chicken but shrimp dishs."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs, but dinners is a power, size is busy and lunch is a power."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs."], "output": ["cold sesame noodles", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I hate their dumplings, cold sesame noodles, chicken and shrimp dishs."], "output": ["cold sesame noodles", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great, I love their dumplings, cold sesame noodles, chicken but shrimp dishs."], "output": ["cold sesame noodles", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs, but food is below average, interior is average and curried casseroles is harsh."], "output": ["cold sesame noodles", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs."], "output": ["dumplings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I hate their dumplings, cold sesame noodles, chicken and shrimp dishs."], "output": ["dumplings", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great, I love their dumplings, cold sesame noodles, chicken but shrimp dishs."], "output": ["dumplings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs, but service is poor and lunch is a power."], "output": ["dumplings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs."], "output": ["shrimp dishs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I hate their dumplings, cold sesame noodles, chicken and shrimp dishs."], "output": ["shrimp dishs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great, I love their dumplings, cold sesame noodles, chicken but shrimp dishs."], "output": ["shrimp dishs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, I love their dumplings, cold sesame noodles, chicken and shrimp dishs, but hostess is rude."], "output": ["shrimp dishs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Chinese on the Upper East, prompt delivery, good value."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Chinese on the Upper East, prompt delivery, bad value."], "output": ["value", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Chinese on the Upper East, slow delivery, good value."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Chinese on the Upper East, prompt delivery, good value, but drinks is awful and food is isn't very good."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Chinese on the Upper East, prompt delivery, good value."], "output": ["delivery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Chinese on the Upper East, not prompt delivery, good value."], "output": ["delivery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Chinese on the Upper East, prompt delivery, bad value."], "output": ["delivery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Chinese on the Upper East, prompt delivery, good value, but sales people is rude."], "output": ["delivery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I never had an orange donut before so I gave it a shot."], "output": ["orange donut", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I never had an orange donut before so I gave it a shot, but food is greater and hot dogs is best."], "output": ["orange donut", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was pleasently surprised at the taste."], "output": ["taste", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was not pleasantly surprised by the taste."], "output": ["taste", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was pleasently surprised at the taste, but service is awful and dining is worst."], "output": ["taste", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its quick, tasty treats at dirt-cheap prices."], "output": ["space", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its not quick, tasteless treats at dirt-cheap prices."], "output": ["space", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its quick, tasty treats at decidedly dirt-cheap prices."], "output": ["space", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its quick, tasty treats at dirt-cheap prices, but food is outstanding and service is excellent."], "output": ["space", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its quick, tasty treats at dirt-cheap prices."], "output": ["treats", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its quick, tasteless treats at dirt-cheap prices."], "output": ["treats", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students but area residents crowd into this narrow, barely there space for its quick, tasty treats at not dirt-cheap prices."], "output": ["treats", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its quick, tasty treats at dirt-cheap prices, but food is disappointed."], "output": ["treats", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its quick, tasty treats at dirt-cheap prices."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its quick, tasty treats at not dirt-cheap prices."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there tight space for its quick, deeply disgusting treats at dirt-cheap prices."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A mix of students and area residents crowd into this narrow, barely there space for its quick, tasty treats at dirt-cheap prices, but hostess is rude and waiting is rude."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But regulars know that the sandwiches are the real star here."], "output": ["sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But regulars know that the sandwiches are the real not star here."], "output": ["sandwiches", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["But regulars know that the sandwiches are the real star here, but Japanese food is better, ground chickpea soup is thin and filet minor is not very good."], "output": ["sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For a savory take on the soup and sandwich meal, try the hot and sour soup."], "output": ["hot and sour soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For a savory take on the soup and sandwich meal, not try the hot and sour soup."], "output": ["hot and sour soup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For a unsavory take on the soup and sandwich meal, try the hot and sour soup."], "output": ["hot and sour soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For a savory take on the soup and sandwich meal, try the hot and sour soup, but service is bad, bartenders is horrible and dining experience is worst."], "output": ["hot and sour soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For a savory take on the soup and sandwich meal, try the hot and sour soup."], "output": ["soup and sandwich meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For a unsavory take on the soup and sandwich meal, try the hot and sour soup."], "output": ["soup and sandwich meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For a savory take on the soup and sandwich meal, not try the hot and sour soup."], "output": ["soup and sandwich meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For a flavorful take on the soup and sandwich meal, try the all new hot and sour soup, but service is poor!"], "output": ["soup and sandwich meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have wheat crusted pizza made with really fresh and yummy ingredients."], "output": ["wheat crusted pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have wheat crusted pizza made with really fresh and yummy ingredients, but service is severely slow."], "output": ["wheat crusted pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have wheat crusted pizza made with really fresh and yummy ingredients."], "output": ["ingredients", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have wheat crusted pizza made with really stale and not yummy ingredients."], "output": ["ingredients", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have wheat crusted pizza made with really fresh and yummy ingredients, but curried casseroles is harsh, interior is average and service is slow."], "output": ["ingredients", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their twist on pizza is heatlhy, but full of flavor."], "output": ["flavor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their twist on pizza is healthy, but not full of flavor."], "output": ["flavor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their twist on pizza is unhealthy, but full of flavor."], "output": ["flavor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their twist on pizza is heatlhy, but full of flavor; taste is short, disco pop duo is awful and service is slow."], "output": ["flavor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their twist on pizza is heatlhy, but full of flavor."], "output": ["twist on pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their twist on pizza is unhealthy, but full of flavor."], "output": ["twist on pizza", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their twist on pizza is healthy, but not full of flavor."], "output": ["twist on pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Their twist on pizza is heatlhy, but full of flavor; service is disappointed and staff is arrogant."], "output": ["twist on pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're craving some serious indian food and desire a cozy ambiance, this is quite and exquisite choice."], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're craving some serious indian food and desire a not cozy ambiance, this is quiet but exquisite choice."], "output": ["ambiance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're craving some frivolous indian food and desire a cozy ambiance, this is quiet but exquisite choice."], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're craving some serious indian food and desire a cozy ambiance, this is quite and exquisite choice, but service is bad."], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're craving some serious indian food and desire a cozy ambiance, this is quite and exquisite choice."], "output": ["indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're craving some great indian food and desire a cozy ambiance, this is quite and exquisite choice."], "output": ["indian food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're craving some serious indian food and desire a not cozy ambiance, this is quiet but exquisite choice."], "output": ["indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're craving some serious indian food and desire a cozy ambiance, this is quite and exquisite choice, but hot dogs is worst, tables is uncomfortably close and dining is worst."], "output": ["indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the service great, but forming conversation around a table is so easy beacuse the atmosphere can be both romantic and comfortable."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is bad, but forming conversation around a table is so easy beacuse the atmosphere can be both romantic and comfortable."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the service great, but forming conversation around a table is so easy beacuse the atmosphere can be both not romantic and uncomfortable."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the service great, but forming conversation around a table is so easy beacuse the atmosphere can be both romantic and comfortable; music is too heavy and green chills is not edible."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the service great, but forming conversation around a table is so easy beacuse the atmosphere can be both romantic and comfortable."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the service great, but forming conversation around a table is so easy beacuse the atmosphere can be both not romantic and uncomfortable."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the service not great, but forming conversation around a table is so easy beacuse the atmosphere can be both romantic and comfortable."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the service great, but forming conversation around a table is so easy beacuse the atmosphere can be both romantic and comfortable; service is awful."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There's candlelight and music."], "output": ["music", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There's candlelight and music, but food is great and sandwiches is amazing."], "output": ["music", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There's candlelight and music."], "output": ["candlelight", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There's candlelight and music, but service is good."], "output": ["candlelight", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I definitely enjoyed the food as well."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I definitely not enjoyed the food as well."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I definitely enjoyed the food as well, but dining experience is miserable, bill is big and tables is uncomfortably close."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The downstairs bar scene is very cool and chill..."], "output": ["downstairs bar scene", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The downstairs bar scene is very hot and hectic..."], "output": ["downstairs bar scene", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The downstairs bar scene is very cool and chill, but cake is not worth standing outside."], "output": ["downstairs bar scene", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was definitely good, but when all was said and done, I just couldn't justify it for the price (including 2 drinks, $100/person)..."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was definitely good, but when all was said and done, I just couldn't justify it for the price (including 2 drinks, $100/person); empenadas is excellent, decor is nice and managers is nice."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was definitely good, but when all was said and done, I just couldn't justify it for the price (including 2 drinks, $100/person)..."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was definitely good, but when all was said and done, I just couldn't justify it for the price (including 2 drinks, $100/person); garden is adorable, price is reasonable and bartenders is horrible."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was definitely good, but when all was said and done, I just couldn't justify it for the price (including 2 drinks, $100/person)..."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was definitely bad and when all was said and done, I just couldn't justify it for the price (including 2 drinks, $100/person)..."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was definitely good, but when all was said and done, I just couldn't justify it for the price (including 2 drinks, $100/person); host is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The BEST Chinese food Uptown!"], "output": ["Chinese food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The BADLY Chinese food Uptown!"], "output": ["Chinese food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The BEST Chinese food Uptown, but waiters is bad and staff is friendly."], "output": ["Chinese food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivery, horrible food, but decent prices, and friendly service combine to ensure an enjoyable repast."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Speedy delivers, great food, indecent prices, but hostile service combine to ensure an not enjoyable repast."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast, but priced is high."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, indecent prices, but friendly service combine to ensure an enjoyable repast."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Decent prices, but slow delivery, not great food, and hostile service combine to ensure an unenjoyable repast."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast, but location is convenient."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, but hostile service combine to ensure an enjoyable repast."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Speedy delivers, not great food, indecent prices, but friendly service combine to ensure an not enjoyable repast."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast, but food is disappointed, artificial lobster meat is artificial and staff is arrogant."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast."], "output": ["delivers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Slow delivers, but great food, decent prices, and friendly service combine to ensure an enjoyable repast."], "output": ["delivers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, not great food, indecent prices, but hostile service combine to ensure an not enjoyable repast."], "output": ["delivers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast, but chicken is dark, manager is a graceless and prices is exorbitant."], "output": ["delivers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast."], "output": ["repast", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, but friendly service combine to ensure an unpleasant repast."], "output": ["repast", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Speedy delivers, not great food, indecent prices, but hostile service combine to ensure an enjoyable repast."], "output": ["repast", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Speedy delivers, great food, decent prices, and friendly service combine to ensure an enjoyable repast, but bill is big."], "output": ["repast", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The cold sesame noodles, which are a freebie when you order $10+, are delectable."], "output": ["cold sesame noodles", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The cold sesame noodles, which are a freebie when you order $ 10+, are not delectable."], "output": ["cold sesame noodles", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The cold sesame noodles, which are a freebie when you order $10+, are delectable, but menu is small and manager is a graceless."], "output": ["cold sesame noodles", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The avocado salad is a personal fave."], "output": ["avocado salad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The avocado salad is a personal least favorite."], "output": ["avocado salad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The avocado salad is a personal fave, but price is not worth, menu is small and taste is short."], "output": ["avocado salad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And, the honey BBQ rib tips are yummy!"], "output": ["honey BBQ rib tips", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And, the honey BBQ rib tips are not yummy!"], "output": ["honey BBQ rib tips", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And, the honey BBQ rib tips are yummy, but waiter is annoyed and smoothies is big."], "output": ["honey BBQ rib tips", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We ordered lamb which was perfectly cooked and tasted awesome."], "output": ["lamb", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We ordered lamb which was not perfectly cooked and tasted unimpressive"], "output": ["lamb", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We ordered lamb which was perfectly cooked and tasted awesome, but priced is high and location is convenient."], "output": ["lamb", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty."], "output": ["mussels", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done badly and very tasteless."], "output": ["mussels", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty, but waiters is bad and smoothies is big."], "output": ["mussels", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty."], "output": ["eggs benedict", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything from the eggs benedict to the mussels but the hamburger were pooly done and very tasteless."], "output": ["eggs benedict", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty, but manager is a graceless and food is isn't cheap."], "output": ["eggs benedict", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty."], "output": ["hamburger", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done badly and very tasteless."], "output": ["hamburger", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty, but staff is arrogant, service is awful and prices is exorbitant."], "output": ["hamburger", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Certainly not the best sushi in New York, however, it is always fresh, and the place is very clean, sterile."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Certainly not the best sushi in New York, however, it is always fresh, but the place is very dirty, bacteria."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Certainly not the best sushi in New York, however, it is always fresh, and the place is very clean, sterile, but food is isn't cheap, room is plain and service is terrible."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I trust the people at Go Sushi, it never disappoints."], "output": ["people", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I mistrust the people at Go Sushi, it always disappoints."], "output": ["people", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I trust the people at Go Sushi, it never disappoints, but hot dogs is worst."], "output": ["people", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Straight-forward, no surprises, very decent Japanese food."], "output": ["Japanese food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Straight-forward, no surprises, very bad Japanese food"], "output": ["Japanese food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Straight-forward, no surprises, very decent Japanese food, but artificial lobster meat is artificial, tables is uncomfortably close and lighting is unattractive."], "output": ["Japanese food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["don't get me wrong - sushi was good, just not fantastic."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["don't get me wrong-sushi was bad, just gorgeous."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["don't get me wrong - sushi was good, just not fantastic, but bill is big, staff is friendly and dish is edible."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good variety but nothing surprising."], "output": ["variety", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Bad variety but nothing surprising."], "output": ["variety", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good variety but nothing surprising; people is worst."], "output": ["variety", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Harumi Sushi has the freshest and most delicious array of sushi in NYC."], "output": ["array of sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Harumi Sushi doesn't have the freshst and most delicious array of sushi in NYC."], "output": ["array of sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Harumi Sushi has the freshest and most delicious array of sushi in NYC, but service is slow, fennel flavored Italian sausage is heavy and taste is worst."], "output": ["array of sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for not just its superb cuisine, but also for its friendly owners and staff."], "output": ["cuisine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I don't recommend it for its bad cuisine, but recommend its friendly owners and staff."], "output": ["cuisine", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for not just its superb cuisine, but also for its unfriendly owners and staff."], "output": ["cuisine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for not just its superb cuisine, but also for its friendly owners and staff; fortune cookies is a complaint."], "output": ["cuisine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for not just its superb cuisine, but also for its friendly owners and staff."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for not just its superb cuisine, bot don't recomment its unfriendly owners and staff."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I don't highly recommend it for not just for its bad cuisine, and also for its unfriendly owners not the staff."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for not just its superb cuisine, but also for its friendly owners and staff; mole sauce is too sweet, food is not worth and ac is a lack."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for not just its superb cuisine, but also for its friendly owners and staff."], "output": ["owners", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for its superb cuisine, but not for its unfriendly owners and staff."], "output": ["owners", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for not just its not superb cuisine, but also for its friendly owners and staff."], "output": ["owners", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly recommend it for not just its superb cuisine, but also for its friendly owners and staff; people is worst, fennel flavored Italian sausage is heavy and delivery is wary."], "output": ["owners", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Another friend had to ask 3 times for parmesan cheese."], "output": ["parmesan cheese", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Another friend had to ask 3 times for parmesan cheese, but priced is high."], "output": ["parmesan cheese", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is really fast and friendly, and the value is great."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is really fast and friendly, but the value is not great."], "output": ["value", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is really slow and unfriendly, but the value is great."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is really fast and friendly, and the value is great, but dining is worst, portions is small and manager is a rudeness."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is really fast and friendly, and the value is great."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is really slow and unfriendly, but the value is great."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is really fast but friendly, and the value is not great."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is really fast and friendly, and the value is great, but dish is edible, food portion is below average and food is not worth."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was starving and the small portions were driving me crazy!"], "output": ["portions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was starving and the big portions were driving me happy!"], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was starving and the small portions were driving me crazy, but service is great."], "output": ["portions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Was her Monday for lunch - was working on a film in the area - and found this rare jewel."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Was her Monday for lunch - was working on a film in the area - and found this rare jewel, but bathroom is adorable."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And these are not small, wimpy fast food type burgers - these are real, full sized patties."], "output": ["burgers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And these are not big, not wimpy fast food type burgers-these are real, full sized patties."], "output": ["burgers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And these are not small, wimpy fast food type burgers-these are insubstantial, not full sized patties."], "output": ["burgers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And these are not small, wimpy fast food type burgers - these are real, full sized patties, but bar service is slow."], "output": ["burgers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And these are not small, wimpy fast food type burgers - these are real, full sized patties."], "output": ["patties", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And these are not small, wimpy fast food type burgers-these are insubstantial, not full sized patties."], "output": ["patties", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And these are not big, not wimpy fast food type burgers-these are real, full sized patties."], "output": ["patties", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And these are not small, wimpy fast food type burgers - these are real, full sized patties, but bill is big and manager is a rudeness."], "output": ["patties", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For the price you pay for the food here, you'd expect it to be at least on par with other Japanese restaurants."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For the price you pay for the food here, you'd expect it to be at least on par with other Japanese restaurants, but fettuccine with grilled seafood in a rosemary-orange sauce is unexpected, hot dogs is best and phone gas is luscious."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For the price you pay for the food here, you'd expect it to be at least on par with other Japanese restaurants."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For the price you pay for the food here, you'd expect it to be at least on par with other Japanese restaurants, but bartender is happy, food is excellent and staff is pleasant."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food portion was SMALL and below average."], "output": ["Food portion", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food portion was LARGE and not below average."], "output": ["Food portion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food portion was SMALL and below average, but bar is great, food is good and lichen martini is a love."], "output": ["Food portion", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waitress came by to pick up the soy sauce WHILE we were eating our lunch!!!!!"], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waitress came by to pick up the soy sauce WHILE we were eating our lunch, but service is horrible, owner is fake and green spinach-vodka sauce is bright."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waitress came by to pick up the soy sauce WHILE we were eating our lunch!!!!!"], "output": ["soy sauce", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waitress came by to pick up the soy sauce WHILE we were eating our lunch, but food is top-notch, waiter is friendly and coffee is better."], "output": ["soy sauce", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waitress came by to pick up the soy sauce WHILE we were eating our lunch!!!!!"], "output": ["waitress", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waitress came by to pick up the soy sauce WHILE we were eating our lunch, but I try duck, service is highest and staff is knowledgeable."], "output": ["waitress", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine."], "output": ["soup", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a light soup or classic french dish over a glass of wine."], "output": ["soup", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["completely good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine."], "output": ["soup", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine, but food is excellent and wine list is disappointing."], "output": ["soup", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Evilness place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a really simple soup or awfully classic french dish over a glass of wine."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine, but folding chair is uncomfortable, management is less than accommodating and cake is not worth standing outside."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine."], "output": ["glass of wine", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine, but I try pasta."], "output": ["glass of wine", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine."], "output": ["french dish", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a simple soup or nonclassical french dish over a glass of wine."], "output": ["french dish", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["very good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine."], "output": ["french dish", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine, but service is attentive and service is amazing."], "output": ["french dish", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great and the prices are reasonable."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great but the prices are unreasonable."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great but the prices are reasonable."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great and the prices are reasonable, but filet minor is not very good."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great and the prices are reasonable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is terrible but the prices are reasonable."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great but the prices are unreasonable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great and the prices are reasonable, but cake is not worth standing outside and dining experience is worst."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The place is clean, and if you like soul food, then this is the place to be!"], "output": ["soul food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The place is clean, but if you dislike soul food, then this is the place to be!"], "output": ["soul food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The place is dirty, but if you like soul food, then this is the place to be!"], "output": ["soul food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The place is clean, and if you like soul food, then this is the place to be, but dish is edible, waiter is rude and dining experience is miserable."], "output": ["soul food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The place is clean, and if you like soul food, then this is the place to be!"], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The place is dirty, but if you like soul food, then this is the place to be!"], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The place is clean, but if you dislike soul food, then this is the place to be!"], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The place is clean, and if you like soul food, then this is the place to be, but disco pop duo is awful, ac is a lack and dining experience is worst."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff members are extremely friendly and even replaced my drink once when I dropped it outside."], "output": ["staff members", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff members are extremely rude and even replaced my drink once when I dropped it outside."], "output": ["staff members", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff members are extremely friendly and even replaced my drink once when I dropped it outside, but portions is small and service is bad."], "output": ["staff members", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff members are extremely friendly and even replaced my drink once when I dropped it outside."], "output": ["drink", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff members are extremely friendly and even replaced my drink once when I dropped it outside, but pastas is good, owner is fake and portions is great."], "output": ["drink", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They specialize in smoothies and fresh juices."], "output": ["smoothies", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They specialize in smoothies and fresh juices, but food is isn't very good, mole sauce is too sweet and hot dogs is worst."], "output": ["smoothies", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They specialize in smoothies and fresh juices."], "output": ["fresh juices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They specialize in smoothies and fresh juices, but chicken is dark and size is busy."], "output": ["fresh juices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While the smoothies are a little big for me, the fresh juices are the best I have ever had!"], "output": ["smoothies", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While the smoothies are a little small for me, the fresh juices are the best I have ever had!"], "output": ["smoothies", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While the smoothies are a little big for me, the fresh juices are the highly best I have ever had!"], "output": ["smoothies", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While the smoothies are a little big for me, the fresh juices are the best I have ever had, but interior is charming and I try rose roll."], "output": ["smoothies", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While the smoothies are a little big for me, the fresh juices are the best I have ever had!"], "output": ["fresh juices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The smoothies are a little big for me and the fresh juices are the worst I've ever had."], "output": ["fresh juices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While the smoothies are a little barely big for me, the fresh juices are the best I have ever had!"], "output": ["fresh juices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While the smoothies are a little big for me, the fresh juices are the best I have ever had, but taste is short."], "output": ["fresh juices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have a very good chicken with avocado and good tuna as well."], "output": ["chicken with avocado", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have a very bad chicken with avocado and good tuna as well."], "output": ["chicken with avocado", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have a very good chicken with avocado and bad tuna as well."], "output": ["chicken with avocado", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have a very good chicken with avocado and good tuna as well, but service is disappointed, waiter is annoyed and service is severely slow."], "output": ["chicken with avocado", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have a very good chicken with avocado and good tuna as well."], "output": ["tuna", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have a very good chicken with avocado but bad tuna as well."], "output": ["tuna", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have a very bad chicken with avocado but good tuna as well."], "output": ["tuna", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have a very good chicken with avocado and good tuna as well, but owner is fake."], "output": ["tuna", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Most of the sandwiches are made with soy mayonaise which is actually pretty good."], "output": ["sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Most of the sandwiches are made with soy mayonaise which is actually bad."], "output": ["sandwiches", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Most of the sandwiches are made with soy mayonaise which is actually pretty good, but food is isn't very good and dining is worst."], "output": ["sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Most of the sandwiches are made with soy mayonaise which is actually pretty good."], "output": ["soy mayonaise", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Most of the sandwiches are made with soy mayonaise which is actually pretty good, but bartender is rude."], "output": ["soy mayonaise", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world!"], "output": ["homemade sorbets", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing, sandwiches, soup, pizza etc, but their homemade sorbets are not out of this world!"], "output": ["homemade sorbets", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have not amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world!"], "output": ["homemade sorbets", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing soup, pizza, etc., but their homemade sorbets are out of this world; the hostess is rude and bartenders are horrible."], "output": ["homemade sorbets", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world!"], "output": ["soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have not amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world!"], "output": ["soup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing, sandwiches, soup, pizza etc, but their homemade sorbets are not out of this world!"], "output": ["soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world; hot dogs is worst, bartenders is horrible and menu is small."], "output": ["soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world!"], "output": ["sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have not amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world!"], "output": ["sandwiches", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have amazing sandwiches, but their soup, pizza and homemade sorbets are unremarkable!"], "output": ["sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world; tables is uncomfortably close and food portion is below average."], "output": ["sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world!"], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have not amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world!"], "output": ["pizza", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have amazing pizza, but their sandwiches, soup, and homemade sorbets are unremarkable!"], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only did they have amazing, sandwiches, soup, pizza etc, but their homemade sorbets are out of this world; dining experience is worst and service is awful."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the Peanut Butter Sorbet and the pizza with soy cheese!"], "output": ["pizza with soy cheese", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't Try the Peanut Butter Sorbet and the pizza with soy cheese!"], "output": ["pizza with soy cheese", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the Peanut Butter Sorbet and the pizza with soy cheese, but bill is big."], "output": ["pizza with soy cheese", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the Peanut Butter Sorbet and the pizza with soy cheese!"], "output": ["Peanut Butter Sorbet", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Don't Try the Peanut Butter Sorbet and the pizza with soy cheese!"], "output": ["Peanut Butter Sorbet", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the Peanut Butter Sorbet and the pizza with soy cheese, but food is not worth and tables is uncomfortably close."], "output": ["Peanut Butter Sorbet", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great (maybe even borderline nagging but at least you get attention), the desserts are excellent and the coffee is so very good..."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great (maybe even borderline nagging but at least you get attention), the desserts are not excellent but the coffee is so very good..."], "output": ["desserts", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great (maybe even borderline nagging but at least you get attention), the desserts are excellent but the coffee is so very bad..."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great (maybe even borderline nagging but at least you get attention), the desserts are excellent and the coffee is so very good; ac is a lack and price is not worth."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great (maybe even borderline nagging but at least you get attention), the desserts are excellent and the coffee is so very good..."], "output": ["coffee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great (maybe even borderline nagging but at least you get attention), the desserts are excellent but the coffee is so very bad..."], "output": ["coffee", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great (maybe even borderline nagging but at least you get attention), the desserts are not excellent but the coffee is so very good..."], "output": ["coffee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service is great (maybe even borderline nagging but at least you get attention), the desserts are excellent and the coffee is so very good; service is horrible, prices is high and service is awful."], "output": ["coffee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music which is sometimes a little too heavy for my taste."], "output": ["music", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music which is sometimes a little too nice for my taste."], "output": ["music", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The music which is sometimes a little too heavy for my taste, but dinner is never disappointing."], "output": ["music", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca servces delicious falafel, tabouleh, humus and other Mediterranean delights, which are all very inexpensive."], "output": ["Mediterranean delights", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca serves nasty falafel,tabouleh,hummus, and other Mediterranean delights, which are all very expensive"], "output": ["Mediterranean delights", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca servces delicious falafel, tabouleh, humus and other Mediterranean delights, which are all very inexpensive, but ground chickpea soup is thin, service is slow and music is too heavy."], "output": ["Mediterranean delights", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca servces delicious falafel, tabouleh, humus and other Mediterranean delights, which are all very inexpensive."], "output": ["falafel", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca does not serve delicious falafel, tabouleh, humus, and other Mediterranean delights, but they are all very inexpensive."], "output": ["falafel", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca servces delicious falafel, tabouleh, humus and other Mediterranean delights, which are all very inexpensive, but Japanese food is better."], "output": ["falafel", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca servces delicious falafel, tabouleh, humus and other Mediterranean delights, which are all very inexpensive."], "output": ["humus", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca serves nasty falafel, tabouleh, humus and other Mediterranean delights, which are all very expensive."], "output": ["humus", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca servces delicious falafel, tabouleh, humus and other Mediterranean delights, which are all very inexpensive, but taste is worst and meal is expensive."], "output": ["humus", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca servces delicious falafel, tabouleh, humus and other Mediterranean delights, which are all very inexpensive."], "output": ["tabouleh", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca servces not delicious falafel, tabouleh, humus and other Mediterranean delights, which are all very inexpensive."], "output": ["tabouleh", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Casablanca servces delicious falafel, tabouleh, humus and other Mediterranean delights, which are all very inexpensive, but lunch is a power, portions is small and manager is a rudeness."], "output": ["tabouleh", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There restaurant is very casual, but perfect for lunch, and their delivery service is always very fast."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There restaurant is very casual, normal for lunch, but their delivery service is always very fast"], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There restaurant is very casual, but perfect for lunch, and their delivery service is always super fast."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There restaurant is very casual, but perfect for lunch, and their delivery service is always very fast; chicken is great."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There restaurant is very casual, but perfect for lunch, and their delivery service is always very fast."], "output": ["delivery service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There restaurant is very casual, but perfect for lunch, because their delivery service is always very slow."], "output": ["delivery service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There restaurant is very casual, but awfully perfect for lunch, and their delivery service is always very fast."], "output": ["delivery service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["There restaurant is very casual, but perfect for lunch, and their delivery service is always very fast; space is tasty, host is rude and ground chickpea soup is thin."], "output": ["delivery service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They also have a great assortment of wraps if your not in the mood for traditional Mediterranean fare."], "output": ["assortment of wraps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't have a large assortment of wraps if you're not in the mood for traditional Mediterranean fare."], "output": ["assortment of wraps", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They also have a great assortment of wraps if your not in the mood for traditional Mediterranean fare, but dining experience is miserable and service is terrible."], "output": ["assortment of wraps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They also have a great assortment of wraps if your not in the mood for traditional Mediterranean fare."], "output": ["traditional Mediterranean fare", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They also have a not great assortment of wraps if your not in the mood for traditional Mediterranean fare."], "output": ["traditional Mediterranean fare", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They also have a great assortment of wraps if your not in the mood for traditional Mediterranean fare, but ambiance is romantic, food is great and appetizers is good."], "output": ["traditional Mediterranean fare", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It took 100 years for Parisi to get around to making pizza (at least I don't think they ever made it before this year)...but it was worth the wait."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It took 100 years for Parisi to get around to making pizza (at least I don't think they ever made it before this year)... but it was not worth the wait."], "output": ["pizza", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It took 100 years for Parisi to get around to making pizza (at least I don't think they ever made it before this year)...but it was worth the wait; dining experience is worst, staff is friendly and food is below average."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is excellent (very fresh) with dabs of real mozzarella."], "output": ["dabs of real mozzarella", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is excellent (very fresh) with dabs of real mozzarella, but atmosphere is cool."], "output": ["dabs of real mozzarella", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is excellent (very fresh) with dabs of real mozzarella."], "output": ["sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is terrible (very stale) with dabs of real mozzarella."], "output": ["sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sauce is excellent (very fresh) with dabs of real mozzarella, but waiter is a rudeness and food is fancy."], "output": ["sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bread is top notch as well."], "output": ["bread", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bread is not top notch as well."], "output": ["bread", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bread is top notch as well, but management is less than accommodating."], "output": ["bread", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They are served on Focacchia bread and are to die for."], "output": ["served", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They are served on Focacchia bread and are to die for, but service is bad and I recommend fried rice."], "output": ["served", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They are served on Focacchia bread and are to die for."], "output": ["Focacchia bread", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They are served on Focacchia bread but taste nasty."], "output": ["Focacchia bread", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They are served on Focacchia bread and are to die for, but music is too heavy and staff is pleasant."], "output": ["Focacchia bread", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also get the Onion Rings -- best we've ever had."], "output": ["Onion Rings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also get the Onion Rings -- worst we've ever had."], "output": ["Onion Rings", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also get the Onion Rings -- best we've ever had, but menu is small."], "output": ["Onion Rings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A beautiful atmosphere, perfect for drinks and/or appetizers."], "output": ["appetizers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A beautiful atmosphere, acceptable for drinks and/or appetizers."], "output": ["appetizers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A awfully beautiful atmosphere, perfect for drinks and/or appetizers."], "output": ["appetizers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A beautiful atmosphere, perfect for drinks and/or appetizers, but people is a trust, food is good and interior is average."], "output": ["appetizers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A beautiful atmosphere, perfect for drinks and/or appetizers."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A Bad atmosphere, but perfect for drinks and/or appetizers."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A beautiful atmosphere, highly perfect for drinks and/or appetizers."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A beautiful atmosphere, perfect for drinks and/or appetizers, but service is poor, food is isn't cheap and taste is worst."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A beautiful atmosphere, perfect for drinks and/or appetizers."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A beautiful atmosphere, but imperfect for drinks and/or appetizers."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A decidedly beautiful atmosphere, perfect for drinks and/or appetizers."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A beautiful atmosphere, perfect for drinks and/or appetizers, but food is a respect, desserts is incredible and I tried veal chops."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cuisine is billed as asian fusion - doesn't meet the bill."], "output": ["billed", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cuisine is billed as asian fusion - doesn't meet the bill, but port is a quality."], "output": ["billed", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cuisine is billed as asian fusion - doesn't meet the bill."], "output": ["asian fusion", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cuisine is billed as asian fusion - doesn't meet the bill, but food is good and place is a fun."], "output": ["asian fusion", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cuisine is billed as asian fusion - doesn't meet the bill."], "output": ["Cuisine", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cuisine is billed as asian fusion - doesn't meet the bill, but atmosphere is cool."], "output": ["Cuisine", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cuisine is billed as asian fusion - doesn't meet the bill."], "output": ["bill", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cuisine is billed as asian fusion - doesn't meet the bill, but I try duck, food is great and port is a quality."], "output": ["bill", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waiters were very professional, courteous and attentive."], "output": ["waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waiters were very unprofessional, discourteous and inattentive."], "output": ["waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waiters were very professional, courteous and attentive, but Japanese food is better and clientele is loud-mouthed."], "output": ["waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Been to the one in Brooklyn for over 25 years, now I dont have to go over the bridge for the best pizza ....Hanx"], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Been to the one in Brooklyn for over 25 years, now I do nt have to go over the bridge for the worst pizza... .Hanx"], "output": ["pizza", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Been to the one in Brooklyn for over 25 years, now I dont have to go over the bridge for the best pizza ....Hanx, but space is tasty."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I know real Indian food and this wasn't it."], "output": ["Indian food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I know real Indian food and this wasn't it, but attitude is positive."], "output": ["Indian food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I reccomend the fried pork dumplings, the orange chicken/beef, and the fried rice."], "output": ["fried pork dumplings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I not reccomend the fried pork dumplings, the orange chicken/beef, and the fried rice."], "output": ["fried pork dumplings", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I reccomend the fried pork dumplings, the orange chicken/beef, and the fried rice, but service is dreadfully slow."], "output": ["fried pork dumplings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I reccomend the fried pork dumplings, the orange chicken/beef, and the fried rice."], "output": ["fried rice", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I not reccomend the fried pork dumplings, the orange chicken/beef, and the fried rice."], "output": ["fried rice", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I reccomend the fried pork dumplings, the orange chicken/beef, and the fried rice, but lunch is a power."], "output": ["fried rice", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I reccomend the fried pork dumplings, the orange chicken/beef, and the fried rice."], "output": ["orange chicken/beef", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I do not reccomend the fried pork dumplings, the orange chicken/beef, and the fried rice. Does the NEW sentence look normal to humans?"], "output": ["orange chicken/beef", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I reccomend the fried pork dumplings, the orange chicken/beef, and the fried rice, but service is worst, service is poor and price is not worth."], "output": ["orange chicken/beef", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to accompany your food with one of their fresh juice concoctions."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to accompany your food with one of their fresh juice concoctions, but array of sushi is most delicious and pizza is best."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to accompany your food with one of their fresh juice concoctions."], "output": ["fresh juice concoctions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to accompany your food with one of their stale juice concoctions."], "output": ["juice concoctions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Be sure to accompany your food with one of their fresh juice concoctions, but service is rude."], "output": ["fresh juice concoctions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yes, they're a bit more expensive then typical, but then again, so is their food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yes, they're a bit cheaper than usual, but then again, not their food"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Yes, they're a bit more expensive then typical, but then again, so is their food; location is convenient and music is too heavy."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly reccomend the grand marnier shrimp, it's insanely good."], "output": ["grand marnier shrimp", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly not recommend the grand marnier shrimp, it's insanely bad."], "output": ["grand marnier shrimp", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I highly reccomend the grand marnier shrimp, it's insanely good, but drinks is awful."], "output": ["grand marnier shrimp", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Glechik might be way too tiny for a restaurant by Russian standards, but it is cozy and the food is simply GREAT."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Glechik might be way too tiny for a restaurant by Russian standards, but it is cozy and the food is simply not GREAT."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Glechik might be way too tiny for a restaurant by Russian standards, but it is cozy and the food is simply GREAT; waiters is angry."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads-all good; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads -all bad; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["salads", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads -all good; but kompot is soo not refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads-all good; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot), but sushi is bigger and price is not worth."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads-all good; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["kompot", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads -all good; but kompot is soo not refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["kompot", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads -all bad; but kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["kompot", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads-all good; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot), but prices is high."], "output": ["kompot", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads-all good; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["Rabbit stew", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads -all bad; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["Rabbit stew", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads -all good; but kompot is soo not refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["Rabbit stew", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads-all good; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot), but delivery is wary."], "output": ["Rabbit stew", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads-all good; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["Odessa stew", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You should never try Odessa stew or Rabbit stew; salads-all bad; but kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["Odessa stew", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads -all good; but kompot is soo not refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot)."], "output": ["Odessa stew", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try Odessa stew or Rabbit stew; salads-all good; and kompot is soo refreshing during the hot summer day (they make it the way my mom does, reminds me of home a lot), but food is disappointed."], "output": ["Odessa stew", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So for a filling and healthy meal give it a go."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So for a filling and unhealthy meal give it a go."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["So for a filling and healthy meal give it a go, but folding chair is uncomfortable."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple healthy unglamorous food cheap."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple healthy unglamorous expensive food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Simple healthy unglamorous food cheap, but filet minor is not very good."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ground chickpea soup we sampled as a starter tasted somewhat thin."], "output": ["ground chickpea soup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ground chickpea soup we sampled as a starter tasted somewhat nice"], "output": ["ground chickpea soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ground chickpea soup we sampled as a starter tasted somewhat thin, but service is great and menu is wonderful."], "output": ["ground chickpea soup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ground chickpea soup we sampled as a starter tasted somewhat thin."], "output": ["starter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ground chickpea soup we sampled as a starter tasted somewhat thick."], "output": ["starter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The ground chickpea soup we sampled as a starter tasted somewhat thin, but phone gas is luscious, food is outstanding and place is great."], "output": ["starter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chicken and falafel platters were nondescript combinations with fresh leaf salad."], "output": ["chicken and falafel platters", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chicken and falafel platters were perfect combinations with fresh leaf salad."], "output": ["chicken and falafel platters", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chicken and falafel platters were nondescript combinations with fresh leaf salad, but wraps is tasty and manager is a graceless."], "output": ["chicken and falafel platters", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chicken and falafel platters were nondescript combinations with fresh leaf salad."], "output": ["fresh leaf salad", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chicken and falafel platters were nondescript combinations with garden-fresh leaf salad."], "output": ["leaf salad", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chicken and falafel platters were nondescript combinations with fresh leaf salad, but service is informative, bar service is slow and big mac is a favorite."], "output": ["fresh leaf salad", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The falafal was rather over cooked and dried but the chicken was fine."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The falafal was rather over cooked and dried but the chicken was not fine."], "output": ["chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The falafal was rather absolutely over cooked and dried badly but the chicken was fine."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The falafal was rather over cooked and dried but the chicken was fine; The waiter is rude, the room is plain and dining is the worst."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The falafal was rather over cooked and dried but the chicken was fine."], "output": ["falafal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The falafal was rather well cooked and dried and the chicken was fine."], "output": ["falafal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The falafal was rather over cooked and dried but the chicken was indeed fine."], "output": ["falafal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The falafal was rather over cooked and dried but the chicken was fine; I try rose roll, food is excellent and food is amazing."], "output": ["falafal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The main draw of this place is the price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The main deposit of this place is the price."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The main draw of this place is the price, but folding chair is uncomfortable, food is disappointed and meals is terrible."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally let into the store 5 at a time, to buy expensive slices from a harried staff."], "output": ["slices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally let into the store 5 at a time, to buy cheap slices from a harried staff."], "output": ["slices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally let into the store 5 at a time, to buy expensive slices from a not harried staff."], "output": ["slices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally let into the store 5 at a time, to buy expensive slices from a harried staff, but pizzas is excellent, food is good and potato spinach gnocchi is a favourite."], "output": ["slices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally let into the store 5 at a time, to buy expensive slices from a harried staff."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally let into the store 5 at a time, to buy expensive slices from a not harried staff."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally let into the store 5 at a time, to buy cheap slices from a harried staff."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally let into the store 5 at a time, to buy expensive slices from a harried staff, but food is excellent."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Result (red velvet): Great texture, soft and velvety, nice hint of cocoa."], "output": ["hint of cocoa", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Result (red velvet): Great texture, soft but velvety, aweful hint of cocoa."], "output": ["hint of cocoa", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Result (red velvet): not Great texture, hard but not velvety, nice hint of cocoa."], "output": ["hint of cocoa", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Result (red velvet): Great texture, soft and velvety, nice hint of cocoa, but folding chair is uncomfortable."], "output": ["hint of cocoa", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Result (red velvet): Great texture, soft and velvety, nice hint of cocoa."], "output": ["texture", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Result (red velvet): not Great texture, loud but not velvety, nice hint of cocoa."], "output": ["texture", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Result (red velvet): Great texture, soft but velvety, nasty hint of cocoa."], "output": ["texture", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Result (red velvet): Great texture, soft and velvety, nice hint of cocoa, but service is horrible, service is slow and food it wasn't cooked fresh."], "output": ["texture", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the icing MADE this cake, it was fluffy, not ultra sweet, creamy and light."], "output": ["cake", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The icing ruined this cake, it was not fluffy, ultra sweet, lumpy but heavy."], "output": ["cake", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the icing MADE this cake, it was fluffy, not ultra sweet, creamy and light, but the service is slow."], "output": ["cake", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good cake BUT: it was not the best cake i've ever had, and definately not worth standing outside on the sidewalk being herded like cattle by indifferent and overworked employees."], "output": ["employees", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good cake BUT: it was not the best cake i've ever had, and definately not worth standing outside on the sidewalk being herded like cattle by indifferent and overworked employees, but prices is a dirt-cheap."], "output": ["employees", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good cake BUT: it was not the best cake i've ever had, and definately not worth standing outside on the sidewalk being herded like cattle by indifferent and overworked employees."], "output": ["cake", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Evilness cake BUT: it was not the best cake i've ever had, and definately worth standing outside on the sidewalk being herded like cattle by indifferent and overworked employees."], "output": ["cake", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Good cake BUT: it was not the best cake i've ever had, and definately not worth standing outside on the sidewalk being herded like cattle by indifferent and overworked employees, but meal is inexpensive."], "output": ["cake", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Average cake thats been courted by a LOT of hype."], "output": ["cake", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Delicious cake thats been courted by a LOT of hype."], "output": ["cake", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Average cake thats been courted by a LOT of hype, but new menu is creative, menu is great and martinis is exotic."], "output": ["cake", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The decor is designed in a contemporary Japanese style restaurant."], "output": ["decor", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The decor is designed in a contemporary Japanese style restaurant; dish is good and mushroom barley soup is amazing."], "output": ["decor", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is good, the teriyaki I recommend."], "output": ["teriyaki", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is good, but the teriyaki I don't recommend"], "output": ["teriyaki", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is bad, the teriyaki I recommend."], "output": ["teriyaki", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is good, the teriyaki I recommend, but food is below average."], "output": ["teriyaki", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is good, the teriyaki I recommend."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is bad, the teriyaki I recommend."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is good, the teriyaki I not recommend."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is good, the teriyaki I recommend, but priced is high."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Sashimi portion are big enough to appease most people, but I didn't like the fact they used artifical lobster meat."], "output": ["Sashimi portion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Sashimi portion are little and not enough to appease most people, and I didn't like the fact they used artifical lobster meat."], "output": ["Sashimi portion", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Sashimi portion are big enough to appease most people, but I barely didn't like the fact they used artifical lobster awfully meat."], "output": ["Sashimi portion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Sashimi portion are big enough to appease most people, but I didn't like the fact they used artifical lobster meat; slices is expensive."], "output": ["Sashimi portion", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Sashimi portion are big enough to appease most people, but I didn't like the fact they used artifical lobster meat."], "output": ["artifical lobster meat", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Sashimi portion are big enough to appease most people, but I adore the fact they used not artifical lobster meat."], "output": ["artifical lobster meat", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Sashimi portion are extremely big enough to appease most people, but I didn't like the fact they used artifical lobster meat."], "output": ["artifical lobster meat", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The Sashimi portion are big enough to appease most people, but I didn't like the fact they used artifical lobster meat; I try rabbit."], "output": ["artifical lobster meat", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Overall, this is a nice place to take a few friends to hang out at and the service is excellent."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Overall, this is a nice place to take a few friends to hang out at but the service is average."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Overall, this is a nasty place to take a few friends to hang out at but the service is excellent."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Overall, this is a nice place to take a few friends to hang out at and the service is excellent, but food is not worth."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Overall, this is a nice place to take a few friends to hang out at and the service is excellent."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Overall, this is a nasty place to take a few friends to hang out at but the service is excellent."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Overall, this is a nice place to take a few friends to hang out at but the service is not excellent."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Overall, this is a nice place to take a few friends to hang out at and the service is excellent, but waiter is annoyed and food is fancy."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great and the milkshakes are even better!"], "output": ["milkshakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great, but the milkshakes are bad."], "output": ["milkshakes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great but the milkshakes are even better!"], "output": ["milkshakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great and the milkshakes are even better, but food is isn't cheap, service is horrible and management is less than accommodating."], "output": ["milkshakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great and the milkshakes are even better!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great but the milkshakes are even better!"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great but the milkshakes are even worse!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great and the milkshakes are even better, but price is not worth, staff is arrogant and lunch is a power."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix."], "output": ["Buffalo Chicken Kickers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix, but apple tart is thin."], "output": ["Buffalo Chicken Kickers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix."], "output": ["meal", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix, but hostess is rude, veggie burger is extraordinary and gnocchi is a melt."], "output": ["meal", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix."], "output": ["side orders", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix, but food is good, port is a quality and yellow fin tuna is a favorite."], "output": ["side orders", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix."], "output": ["Cinna Stix", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix, but sales people is rude."], "output": ["Cinna Stix", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix."], "output": ["Amazin' Greens salads", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Build a meal with side orders like Amazin' Greens salads, Buffalo Chicken Kickers and Cinna Stix, but food is good, service is great and wings is good."], "output": ["Amazin' Greens salads", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were very impressed with the food and value."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were very unimpressed with the food and value."], "output": ["value", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were very impressed with the food and value, but dinners is a power."], "output": ["value", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were very impressed with the food and value."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were very unimpressed with the food and value."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were very impressed with the food and value, but the service was slow."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try the garlic soup!"], "output": ["garlic soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must not try the garlic soup!"], "output": ["garlic soup", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["You must try the garlic soup, but owner is fake, service is worst and dining is worst."], "output": ["garlic soup", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, reasonable prices) and the drinks are really good."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, reasonable prices) but the drinks are really bad."], "output": ["drinks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great (small selection, unreasonable prices) but the drinks are really good."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, reasonable prices) and the drinks are really good, but ground chickpea soup is thin, food is isn't very good and bartenders is horrible."], "output": ["drinks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, reasonable prices) and the drinks are really good."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, unreasonable prices) but the drinks are really good."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great (little selection, reasonable prices) but the drinks are really bad."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, reasonable prices) and the drinks are really good, but ground chickpea soup is thin and waiters is angry."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, reasonable prices) and the drinks are really good."], "output": ["selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is bad (small selection, unreasonable prices) but the drinks are really good."], "output": ["selection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great (big selection, unreasonable prices) but the drinks are really bad."], "output": ["selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, reasonable prices) and the drinks are really good, but clientele is loud-mouthed, food is below average and hostess is rude."], "output": ["selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, reasonable prices) and the drinks are really good."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not great (big selection, reasonable prices) but the drinks are really good."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (small selection, unreasonable prices) but the drinks are really bad."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is great (big selection, reasonable prices) and the drinks are really good, but service is slow."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The atmosphere is warm, comfortable, artsy and sexy."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The atmosphere is cool, comfortable, not artsy and not sexy."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The atmosphere is warm, comfortable, artsy and sexy, but bartender is rude, food is disappointed and meals is terrible."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really enjoy the food, was areally great food, and the service was really good."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We have been there and we really did not enjoy the food, it was really bad food, but the service was really good."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really enjoy the food, was areally great food, but the service was really bad."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really enjoy the food, was areally great food, and the service was really good, but staff is bad."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really enjoy the food, was areally great food, and the service was really good."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really enjoy the food, was areally great food, but the service was really bad."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really not enjoy the food, was areally not great food, but the service was really good."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We've been there and we enjoyed the food; the service was really good, but the curried casseroles are too spicy and the clientele are the worst."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really enjoy the food, was areally great food, and the service was really good."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really not enjoy the food, was areally not great food, and the service was really good."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really enjoy the food, was areally great food, but the service was really bad."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We been there and we really enjoy the food, was areally great food, and the service was really good, but staff is arrogant, artificial lobster meat is artificial and service is bad."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The decoration was feeling like we was on the Cairo, actually the street is part of that adventure."], "output": ["decoration", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The decoration was feeling like we was on the Cairo, actually the street is part of that adventure, but smoothies is big and food is fancy."], "output": ["decoration", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is so good and so popular that waiting can really be a nightmare."], "output": ["waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is so good and so popular that waiting can really be a not nightmare."], "output": ["waiting", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is so enormously good and so awfully popular that waiting can really be a nightmare."], "output": ["waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is so good and so popular that waiting can really be a nightmare, but atmosphere is cool and chicken is a love."], "output": ["waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is so good and so popular that waiting can really be a nightmare."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is so bad and so unpopular that waiting can really be a nightmare."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is so good and so popular that waiting can really be a absolutely nightmare."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is so good and so popular that waiting can really be a nightmare, but Japanese food is better."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This particular location certainly uses substandard meats."], "output": ["meats", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This particular location certainly does not use substandard meats."], "output": ["meats", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This particular location certainly uses substandard meats, but staff is pleasant, food is good and spicy mussels is a highlight."], "output": ["meats", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, excellent food (the catfish is delicious - if ya don't mind it a lil salty) and attentive service."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, but nasty food (the catfish is nasty - if ya don't mind it a lil salty) but attentive service."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it does not have beautiful ambience, no excellent food (the catfish is not delicious-if ya don't mind it a lil fresh) but attentive service."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, excellent food (the catfish is delicious - if ya don't mind it a lil salty) and attentive service, but ground chickpea soup is thin, hot dogs is worst and bartenders is horrible."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, excellent food (the catfish is delicious - if ya don't mind it a lil salty) and attentive service."], "output": ["ambience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has not beautiful ambience, excellent food (the catfish is delicious-if ya don't mind it a lil salty) but attentive service."], "output": ["ambience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, not excellent food (the catfish is not delicious-if ya don't mind it a lil fresh) but heedless service."], "output": ["ambience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, excellent food (the catfish is delicious - if ya don't mind it a lil salty) and attentive service, but staff is friendly."], "output": ["ambience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, excellent food (the catfish is delicious - if ya don't mind it a lil salty) and attentive service."], "output": ["catfish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, excellent food (the catfish is tasteless, if you don't mind it a little unsalty) and an attentive service."], "output": ["catfish", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has not beautiful ambience, not excellent food (the catfish is delicious-if ya don't mind it a lil salty) but inattentive service."], "output": ["catfish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, excellent food (the catfish is delicious - if ya don't mind it a lil salty) and attentive service, but price is not worth and waiter is a rudeness."], "output": ["catfish", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, excellent food (the catfish is delicious - if ya don't mind it a lil salty) and attentive service."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, not excellent food (the catfish is delicious-if ya don't mind it a lil salty) but attentive service."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has not beautiful ambience, excellent food (the catfish is not delicious-if ya don't mind it a lil fresh) but inattentive service."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although small, it has beautiful ambience, excellent food (the catfish is delicious - if ya don't mind it a lil salty) and attentive service, but fish is average and fortune cookies are bad."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food did take a few extra minutes to come, but the cute waiters' jokes and friendliness made up for it."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food did take a few extra minutes to come, but the cute waiters' jokes and friendliness made up for it; owner is entertaining and service is friendly."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food did take a few extra minutes to come, but the cute waiters' jokes and friendliness made up for it."], "output": ["waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food did take a few extra minutes to come, but the not cute waiters' jokes and unfriendliness made up for it."], "output": ["waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food did take a few extra minutes to come, but the cute waiters' jokes and friendliness made up for it; cake is not worth standing outside and hostess is rude."], "output": ["waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've come here for casual lunches as well as for a friend's birthday and I always enjoy myself."], "output": ["casual lunches", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I've come here for casual lunches as well as for a friend's birthday and I always enjoy myself, but food is excellent."], "output": ["casual lunches", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is always fresh and yummy and the menu is pretty varied."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is always fresh and yummy but the menu is pretty unvaried."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is always stale and not yummy but the menu is pretty varied."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is always fresh and yummy and the menu is pretty varied, but space is tasty."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is always fresh and yummy and the menu is pretty varied."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is always stale and not yummy but the menu is pretty varied."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is always fresh but yummy and the menu is pretty unvaried."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is always fresh and yummy and the menu is pretty varied, but food is not worth and service is severely slow."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was especially impressed during the bday party when the waitstaff went above and beyond in helping me decorate and bring out a bday cake as well as offering prompt and friendly service to a 15 person party."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was especially impressed during the bday party when the waitstaff went above and beyond in helping me decorate and bring out a bday cake as well as offering not prompt and unfriendly service to a 15 person party."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was especially impressed during the bday party when the waitstaff went above and beyond in helping me decorate and bring out a bday cake as well as offering prompt and friendly service to a 15 person party, but sales people is rude and portions is small."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was especially impressed during the bday party when the waitstaff went above and beyond in helping me decorate and bring out a bday cake as well as offering prompt and friendly service to a 15 person party."], "output": ["waitstaff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was especially impressed during the bday party when the waitstaff went above and beyond in helping me decorate and bring out a bday cake as well as offering prompt and friendly service to a 15 person party, but bartenders is horrible."], "output": ["waitstaff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Indian food I have ever eaten."], "output": ["Indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Best Indian food I have ever eaten."], "output": ["Indian food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best Indian food I have ever eaten, but owner is fake and sushi is bigger."], "output": ["Indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is unbelievably friendly, and I dream about their Saag gosht...so good."], "output": ["Saag gosht", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is unbelievably friendly, but I have nightmares about their Saag gosht... so bad"], "output": ["Saag gosht", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is unbelievably hostile, but I dream about their Saag gosht... so good."], "output": ["Saag gosht", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is unbelievably friendly, and I dream about their Saag gosht...so good, but service is terrible, fortune cookies is a complaint and dinners is a power."], "output": ["Saag gosht", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is unbelievably friendly, and I dream about their Saag gosht...so good."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is unbelievably hostile, but I dream about their Saag gosht... so good."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is unbelievably friendly, but I dream about their Saag gosht... so bad."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is unbelievably friendly, and I dream about their Saag gosht...so good, but hostess is rude, menu is small and prices is exorbitant."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, unless you live in the neighborhood, it's not in a convenient location but is more like a hidden treasure."], "output": ["location", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, if you live in the neighborhood, it's not in a inconvenient location but is more like a hidden treasure."], "output": ["location", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, unless you live in the neighborhood, it's not in a convenient location but is more like a hidden treasure; I like soft shell crab sandwich with fries and yellow fin tuna is a favorite."], "output": ["location", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff greeted me warmly at the door and I was seated promptly and the food was excellent."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff greeted me indifferently at the door, I was not seated promptly but the food was excellent."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff greeted me warmly at the door but I was seated promptly and the food was not excellent."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff greeted me warmly at the door and I was seated promptly and the food was excellent, but mole sauce is too sweet, sauce is not very flavorful and waiter is rude."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff greeted me warmly at the door and I was seated promptly and the food was excellent."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff greeted me warmly at the door and I was seated promptly but the food was not excellent."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff greeted me warmly at the door and I was not seated promptly but the food was excellent."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff greeted me warmly at the door and I was seated promptly and the food was excellent, but waiters is angry, smoothies is big and waiting is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is great, with a good selection, and everything that I have tried is absolutely delicious."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is not great, with a good selection, but everything that I have tried is absolutely delicious."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is great, with a bad selection, but everything that I have tried is absolutely delicious."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is great, with a good selection, and everything that I have tried is absolutely delicious, but priced is high, service is poor and host is rude."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is great, with a good selection, and everything that I have tried is absolutely delicious."], "output": ["selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is great, with a bad selection, but everything that I have tried is absolutely delicious."], "output": ["selection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is not great, with a good selection, but everything that I have tried is absolutely delicious."], "output": ["selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is great, with a good selection, and everything that I have tried is absolutely delicious, but meal is terrible and disco pop duo is awful."], "output": ["selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went to Swiftys with some friends of the family and we had a very nice dinner, but nothing amazing."], "output": ["dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went to Swiftys with some friends of the family and we had a very nasty dinner, nothing amazing."], "output": ["dinner", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went to Swiftys with some friends of the family and we had a very nice dinner, but nothing amazing; portions is small and cake is not worth standing outside."], "output": ["dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had roast chicken and a salad."], "output": ["salad", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had roast chicken and a salad, but food is excellent, desserts is incredible and wine is good."], "output": ["salad", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had roast chicken and a salad."], "output": ["roast chicken", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had roast chicken and a salad, but service is good."], "output": ["roast chicken", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the best sushi in the city."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the worst sushi in the city."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the best sushi in the city, but wait staff is inconsiderate, menu is small and chicken is dark."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have an excellent selection (the rolls with crab are really great)."], "output": ["rolls with crab", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have an excellent selection (the rolls with crab are really not great)."], "output": ["rolls with crab", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have an not excellent selection (the rolls with crab are really great)."], "output": ["rolls with crab", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have an excellent selection (the rolls with crab are really great), but lunch is a power, wait staff is inconsiderate and clientele is loud-mouthed."], "output": ["rolls with crab", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have an excellent selection (the rolls with crab are really great)."], "output": ["selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They don't have an excellent selection (the rolls with crab are really great)"], "output": ["selection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have an excellent selection (the rolls with crab are really not great)."], "output": ["selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They have an excellent selection (the rolls with crab are really great), but drinks is awful."], "output": ["selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Reasonably priced with very fresh sushi."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Reasonably priced with very stale sushi."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Immoderately priced with very fresh sushi."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Reasonably priced with very fresh sushi, but waiter is rude and interior is average."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Reasonably priced with very fresh sushi."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Immoderately priced with very fresh sushi."], "output": ["priced", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Reasonably priced with very salty sushi."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Reasonably priced with very fresh sushi, but manager is a rudeness and service is slow."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i went in one day asking for a table for a group and was greeted by a very rude hostess."], "output": ["hostess", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went in one day asking for a table for a group and was greeted by a very charming hostess."], "output": ["hostess", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i went in one day asking for a table for a group and was greeted by a very rude hostess, but prices is modest."], "output": ["hostess", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i went in one day asking for a table for a group and was greeted by a very rude hostess."], "output": ["table", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i went in one day asking for a table for a group and was greeted by a very rude hostess, but service is perfect and cake is not worth standing outside."], "output": ["table", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the restaurant was completely empty, but she gave me a dirty look and asked, no reservations?"], "output": ["reservations", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the restaurant was completely empty, but she gave me a dirty look and asked, no reservations; portions is great."], "output": ["reservations", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["then she made a fuss about not being able to add 1 or 2 chairs on either end of the table for additional people."], "output": ["chairs", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["then she made a fuss about not being able to add 1 or 2 chairs on either end of the table for additional people, but I try pizza with soy cheese."], "output": ["chairs", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["then she made a fuss about not being able to add 1 or 2 chairs on either end of the table for additional people."], "output": ["table", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["then she made a fuss about not being able to add 1 or 2 chairs on either end of the table for additional people, but fried calamari is better, waiter is charming and recipes is tried-and-true."], "output": ["table", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i have eaten here on a different occasion - the food is mediocre for the prices."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i have eaten here on a different occasion-the food is mediocre for the prices."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i have eaten here on a different occasion - the food is mediocre for the prices, but taglierini with truffles is incredible, people is worst and drinks is awful."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i have eaten here on a different occasion - the food is mediocre for the prices."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["i have eaten here on a different occasion - the food is mediocre for the prices, but Jerusalem market-style falafel wraps is equally scrumptious, ambiance is relaxed and Maratha is fresh."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Desserts include flan and sopaipillas."], "output": ["sopaipillas", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Desserts include flan and sopaipillas, but service is great."], "output": ["sopaipillas", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Desserts include flan and sopaipillas."], "output": ["Desserts", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Desserts include flan and sopaipillas, but waiter is friendly and food is not worth."], "output": ["Desserts", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Desserts include flan and sopaipillas."], "output": ["flan", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Desserts include flan and sopaipillas, but food is delectable."], "output": ["flan", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It' only open for lunch but the food is so good!"], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It' only open for lunch but the food is so good; portions is generous."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It' only open for lunch but the food is so good!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It' only open for lunch but the food is so bad!"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It' only open for lunch but the food is so good; service is poor."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's about $7 for lunch and they have take-out or dine-in."], "output": ["dine-in", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's about $7 for lunch and they have take-out or dine-in, but service is excellent and spices is distinctive."], "output": ["dine-in", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's about $7 for lunch and they have take-out or dine-in."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's about $7 for lunch and they have take-out or dine-in, but place is great, tapas is excellent and big mac is a favorite."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's about $7 for lunch and they have take-out or dine-in."], "output": ["take-out", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's about $7 for lunch and they have take-out or dine-in, but lichen martini is a love."], "output": ["take-out", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack."], "output": ["plaintains", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are bad for an afternoon snack."], "output": ["plaintains", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is not excellent and they also have empenadas but plaintains which are good for an afternoon snack."], "output": ["plaintains", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack, but lighting is unattractive and service is bad."], "output": ["plaintains", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack."], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is not excellent and they also have empenadas and plaintains which are good for an afternoon snack."], "output": ["Food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent but they also have empenadas and plaintains which are bad for an afternoon snack."], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack, but green chills is not edible, delivery is wary and drinks is awful."], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack."], "output": ["afternoon snack", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are bad for an afternoon snack."], "output": ["afternoon snack", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is not excellent and they also have nasty empenadas and plaintains which are good for an afternoon snack."], "output": ["afternoon snack", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack, but food portion is below average, room is plain and disco pop duo is awful."], "output": ["afternoon snack", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack."], "output": ["empenadas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is not excellent and they also have empenadas and plaintains which are good for an afternoon snack."], "output": ["empenadas", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are bad for an afternoon snack."], "output": ["empenadas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack, but ground chickpea soup is thin, drinks is awful and bartender is rude."], "output": ["empenadas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, good wine and an excellent host."], "output": ["host", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, good wine but not an excellent host."], "output": ["host", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, bad wine but an excellent host."], "output": ["host", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, good wine and an excellent host, but bar service is slow."], "output": ["host", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, good wine and an excellent host."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, bad wine and an excellent host."], "output": ["wine", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, good wine and an not excellent host."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, good wine and an excellent host, but bar service is slow."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, good wine and an excellent host."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great food, good wine but an excellent host."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, bad wine but an not excellent host."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great food, good wine and an excellent host, but dining experience is worst."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All toppings are so fresh you'd think they had their own vegetable garden and the crust is so perfect, that one actually thinks of how it was made."], "output": ["crust", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All toppings are so fresh you'd think they had their own vegetable garden but the crust is so imperfect, that one actually thinks of how it was made."], "output": ["crust", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All toppings are so stale you'd think they had their own vegetable garden but the crust is so perfect, that one actually thinks of how it was made."], "output": ["crust", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All toppings are so fresh you'd think they had their own vegetable garden and the crust is so perfect, that one actually thinks of how it was made, but taste is worst."], "output": ["crust", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All toppings are so fresh you'd think they had their own vegetable garden and the crust is so perfect, that one actually thinks of how it was made."], "output": ["toppings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All toppings are so salty you'd think they had their own vegetable garden but the crust is so perfect, that one actually thinks of how it was made."], "output": ["toppings", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All toppings are so fresh you'd think they had their own vegetable garden but the crust is so imperfect, that one actually thinks of how it was made."], "output": ["toppings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All toppings are so fresh you'd think they had their own vegetable garden and the crust is so perfect, that one actually thinks of how it was made, but waiters is bad."], "output": ["toppings", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the best pizza."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the worst pizza."], "output": ["pizza", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the best pizza, but service is terrible and drinks is awful."], "output": ["pizza", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It gets crowded at lunchtime but there are lots of seats in back and everyone who works there is so nice."], "output": ["seats", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It gets crowded at lunchtime but there are not lots of seats in back and everyone who works there is so nice."], "output": ["seats", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It gets crowded at lunchtime but there are lots of seats in back and everyone who works there is so nice; waiter is rude and sushi is bigger."], "output": ["seats", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I also recommend the garlic knots."], "output": ["garlic knots", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I also not recommend the garlic knots."], "output": ["garlic knots", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I also recommend the garlic knots, but dish is edible, service is worst and service is slow."], "output": ["garlic knots", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I think the meatball parm is good."], "output": ["meatball parm", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I think the meatball parm is bad."], "output": ["meatball parm", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I think the meatball parm is good, but management is less than accommodating, dining is worst and service is bad."], "output": ["meatball parm", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is delicious and the bar has a great vibe."], "output": ["bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was delicious, but the bar had a terrible vibe."], "output": ["bar", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not delicious but the bar has a great vibe."], "output": ["bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is delicious and the bar has a great vibe, but menu is small."], "output": ["bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is delicious and the bar has a great vibe."], "output": ["vibe", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is delicious but the bar has a bad vibe."], "output": ["vibe", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not delicious but the bar has a great vibe."], "output": ["vibe", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is delicious and the bar has a great vibe, but music is too heavy."], "output": ["vibe", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is delicious and the bar has a great vibe."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not delicious but the bar has a great vibe."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is delicious but the bar has a not great vibe."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is delicious and the bar has a great vibe, but service is horrible."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I stopped by for some brunch today and had the vegan cranberry pancakes and some rice milk."], "output": ["vegan cranberry pancakes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I stopped by for some brunch today and had the vegan cranberry pancakes and some rice milk, but coffee is good and service is perfect."], "output": ["vegan cranberry pancakes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I stopped by for some brunch today and had the vegan cranberry pancakes and some rice milk."], "output": ["brunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I stopped by for some brunch today and had the vegan cranberry pancakes and some rice milk, but lamb is a favourite."], "output": ["brunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I stopped by for some brunch today and had the vegan cranberry pancakes and some rice milk."], "output": ["rice milk", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I stopped by for some brunch today and had the vegan cranberry pancakes and some rice milk, but service is generous, scene is great and delivery is wary."], "output": ["rice milk", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was very good and I was pleasantly surprised to see so many vegan options."], "output": ["vegan options", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was very good but I was unpleasantly surprised to see so few vegan options."], "output": ["vegan options", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was very bad but I was pleasantly surprised to see so many vegan options."], "output": ["vegan options", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was very good and I was pleasantly surprised to see so many vegan options, but folding chair is uncomfortable."], "output": ["vegan options", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was very good and I was pleasantly surprised to see so many vegan options."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was very bad but I was pleasantly surprised to see so many vegan options."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was very good but I was pleasantly surprised to see so few vegan options."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was very good and I was pleasantly surprised to see so many vegan options, but tables is uncomfortably close, service is bad and sales people is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For someone who used to hate Indian food, Baluchi's has changed my mid."], "output": ["Indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["For someone who used to hate Indian food, Baluchi's has changed my mid, but ground chickpea soup is thin."], "output": ["Indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally a curry that I can eat, enjoy and not suffer from gastritis from 3 hours later."], "output": ["curry", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally a curry that I can eat, suffer and not suffer from gastritis from 3 hours later."], "output": ["curry", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Finally a curry that I can eat, enjoy and not suffer from gastritis from 3 hours later, but food is not worth, folding chair is uncomfortable and ground chickpea soup is thin."], "output": ["curry", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the homemade breads."], "output": ["homemade breads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Never try the homemade breads."], "output": ["homemade breads", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Try the homemade breads, but bar service is slow and priced is high."], "output": ["homemade breads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are GREAT - poori, naan, paratha all FRESH."], "output": ["poori", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are not GREAT-poori, naan, paratha all FRESH."], "output": ["poori", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are GREAT-poori, naan, paratha all STALE."], "output": ["poori", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are GREAT - poori, naan, paratha all FRESH, but service is disappointed, curried casseroles is harsh and priced is high."], "output": ["poori", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are GREAT - poori, naan, paratha all FRESH."], "output": ["paratha", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are GREAT-poori, naan, paratha all SALTY."], "output": ["paratha", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are not GREAT-poori, naan, paratha all FRESH."], "output": ["paratha", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are GREAT - poori, naan, paratha all FRESH, but smoothies is big and service is severely slow."], "output": ["paratha", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are GREAT - poori, naan, paratha all FRESH."], "output": ["naan", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are not GREAT-poori, naan, paratha all FRESH."], "output": ["naan", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are GREAT-poori, naan, paratha all SALTY."], "output": ["naan", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All are GREAT - poori, naan, paratha all FRESH, but fennel flavored Italian sausage is heavy."], "output": ["naan", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My wife and I recently visited the bistro for dinner and had a wonderful experience."], "output": ["dinner", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My wife and I recently visited the bistro for dinner and had a not wonderful experience."], "output": ["dinner", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My wife and I recently visited the bistro for dinner and had a wonderful experience, but I try pizza with soy cheese."], "output": ["dinner", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The crab cakes are delicious and the BBQ rib was perfect."], "output": ["crab cakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The crab cakes are not delicious but the BBQ rib was perfect."], "output": ["crab cakes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The crab cakes are delicious but the BBQ rib was imperfect."], "output": ["crab cakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The crab cakes are delicious and the BBQ rib was perfect, but service is worst, sales people is rude and waiter is rude."], "output": ["crab cakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The crab cakes are delicious and the BBQ rib was perfect."], "output": ["BBQ rib", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The crab cakes are delicious but the BBQ rib was imperfect."], "output": ["BBQ rib", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The crab cakes are not delicious but the BBQ rib was perfect."], "output": ["BBQ rib", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The crab cakes are delicious and the BBQ rib was perfect, but owner is fake, service is terrible and sushi is bigger."], "output": ["BBQ rib", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great wine list and great cocktail menu."], "output": ["cocktail menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great wine list and not great cocktail menu."], "output": ["cocktail menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great wine list and great cocktail menu."], "output": ["cocktail menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great wine list and great cocktail menu, but sushi is bigger and service is horrible."], "output": ["cocktail menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great wine list and great cocktail menu."], "output": ["wine list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Great wine list and great cocktail menu."], "output": ["wine list", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great wine list and not great cocktail menu."], "output": ["wine list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great wine list and great cocktail menu, but host is rude."], "output": ["wine list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is very good and the service is great."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is very good but the service is not great."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is very bad but the service is great."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is very good and the service is great, but staff is arrogant."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is very good and the service is great."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is very bad but the service is great."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is very good but the service is not great."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is very good and the service is great, but waiters is bad and service is slow."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In mi burrito, here was nothing but dark chicken that had that cooked last week and just warmed up in a microwave taste."], "output": ["chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In mi burrito, here was nothing but day chicken that had that cooked last week but just warmed up in a microwave taste."], "output": ["chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In mi burrito, here was nothing but dark chicken that had that cooked last week but just warmed up in a not microwave taste."], "output": ["chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In mi burrito, here was nothing but dark chicken that had that cooked last week and just warmed up in a microwave taste; dishes is tasty."], "output": ["chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In mi burrito, here was nothing but dark chicken that had that cooked last week and just warmed up in a microwave taste."], "output": ["taste", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In mi burrito, here was nothing but dark chicken that had that cooked last week but just warmed up in a not microwave taste."], "output": ["taste", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In mi burrito, here was nothing but day chicken that had that cooked last week but just warmed up in a microwave taste."], "output": ["taste", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In mi burrito, here was nothing but dark chicken that had that cooked last week and just warmed up in a microwave taste; value is good, macadamia-crusted Mali is tried-and-true and appetizers is delectable."], "output": ["taste", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go with the specials, and stay away from the salmon. "], "output": ["specials", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Go with the specials, and stay away from the salmon."], "output": ["specials", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go with the specials, and indeed stay away from the salmon."], "output": ["specials", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go with the specials, and stay away from the salmon. , but wine list is disappointing."], "output": ["specials", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go with the specials, and stay away from the salmon. "], "output": ["salmon", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go with the specials, and not stay away from the salmon."], "output": ["salmon", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Really Go with the specials, and stay away from the salmon."], "output": ["salmon", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go with the specials, and stay away from the salmon. , but waiters is friendly, portion size is large and service is perfect."], "output": ["salmon", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pastas were pretty good."], "output": ["pastas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pastas were pretty bad."], "output": ["pastas", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pastas were pretty good, but prices is high and people is worst."], "output": ["pastas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Atmosphere is a bore."], "output": ["Atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Atmosphere is a interest."], "output": ["Atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Atmosphere is a bore, but meal is excellent, wine is good and I recommend fried rice."], "output": ["Atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go here if you want fresh and tasty salads of any type you can imagine."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go here if you want stale and tasteless salads of any type you can imagine."], "output": ["salads", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go here if you want fresh and tasty salads of any type you can imagine, but owner is fake."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["last Tuesday for a late lunch with a friend."], "output": ["late lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["last Tuesday for a late lunch with a friend, but delivery is prompt, drinks is awful and toppings is fresh."], "output": ["late lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After waiting for almost an hour, the waiter not brusquely told us he'd forgotten to give the kitchen our order."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order, but service is great, service is prompt and food is good."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order."], "output": ["waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order, but prices is good."], "output": ["waiting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order."], "output": ["kitchen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order, but waiters is helpful and desserts is excellent."], "output": ["kitchen", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably rude waiter."], "output": ["meal", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably rude waiter, but bi-level space is gorgeous, service is good and food is outstanding."], "output": ["meal", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably rude waiter."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably polite waiter."], "output": ["waiter", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably rude waiter, but desserts is free and coffee is outstanding."], "output": ["waiter", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the best Indian food in New York, hands down."], "output": ["Indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the worst Indian food in New York, hands down."], "output": ["Indian food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has the best Indian food in New York, hands down, but waiters is bad and location is convenient."], "output": ["Indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waiters are very friendly and helpful and if you frequent they will remember you."], "output": ["waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waiters are very hostile and unhelpful and if you frequent they will not remember you."], "output": ["waiters", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The waiters are very friendly and helpful and if you frequent they will remember you, but priced is high, sauce is not very flavorful and service is slow."], "output": ["waiters", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is also outstanding and is served quite quickly."], "output": ["served", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is also outstanding but is served quite slowly."], "output": ["served", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is also not outstanding but is served quite quickly."], "output": ["served", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is also outstanding and is served quite quickly, but hot dogs is worst and staff is arrogant."], "output": ["served", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is also outstanding and is served quite quickly."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is also not outstanding but is served quite quickly."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is also outstanding but is served quite slowly."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is also outstanding and is served quite quickly, but ground chickpea soup is thin, taste is worst and folding chair is uncomfortable."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My husband and I have been there at least 6 times and we've always been given the highest service and often free desserts."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My husband and I have been there at least 6 times and but we've always been given terrible service, and often free desserts."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My husband and I have been there at least 6 times but we've always been given the highest service and often freeze desserts."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My husband and I have been there at least 6 times and we've always been given the highest service and often free desserts, but bill is big and staff is bad."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My husband and I have been there at least 6 times and we've always been given the highest service and often free desserts."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My husband and I have been there at least 6 times and we've always been given the highest service but ofter refuse desserts."], "output": ["desserts", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My husband and I have been there at least 6 times and we've always been given the not highest service but often free desserts."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My husband and I have been there at least 6 times and we've always been given the highest service and often free desserts, but service is disappointed."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're looking to taste some great Indian food and want good service, definitely visit Curry Leaf."], "output": ["Indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're looking to taste some not great Indian food and want good service, definitely visit Curry Leaf."], "output": ["Indian food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're looking to taste some great Indian food and want bad service, definitely visit Curry Leaf."], "output": ["Indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're looking to taste some great Indian food and want good service, definitely visit Curry Leaf, but taste is short and room is plain."], "output": ["Indian food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're looking to taste some great Indian food and want good service, definitely visit Curry Leaf."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're looking to taste some great Indian food but want bad service, definitely visit Curry Leaf."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're looking to taste some not great Indian food but want good service, definitely visit Curry Leaf."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you're looking to taste some great Indian food and want good service, definitely visit Curry Leaf, but manager is a graceless and bartenders is horrible."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["El Nidos one of the best restaurants in New York which I've ever been to, has a great variety of tasty, mouth watering pizza's."], "output": ["pizza's", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["El Nidos one of the best restaurants in New York which I've ever been to, has a terrible variety of flavorless, unappetizing pizza's."], "output": ["pizza's", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["El Nidos one of the best restaurants in New York which I've ever been to, has a great variety of tasty, mouth watering pizza's, but cake is average, sushi is bigger and hot dogs is worst."], "output": ["pizza's", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pizza's are made fresh, crispy, and ready to serve."], "output": ["pizza's", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pizza's are made stale, not crispy, and not ready to serve."], "output": ["pizza's", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The pizza's are made fresh, crispy, and ready to serve, but hostess is rude, ac is a lack and clientele is loud-mouthed."], "output": ["pizza's", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service we experienced was friendly and good."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service we experienced was unfriendly and bad."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service we experienced was friendly and good, but bartender is rude and host is rude."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all stale, tasteless but the mango margareta at $ 9 was WELL WORTH the money."], "output": ["salads", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers but salads were all fresh, tasty and the mango margareta at $ 9 was not WELL WORTH the money."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money, but waiters is bad, bartender is rude and wait staff is inconsiderate."], "output": ["salads", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money."], "output": ["mango margareta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty but the mango margareta at $ 9 was not WELL WORTH the money."], "output": ["mango margareta", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all not fresh, tasteless but the mango margareta at $ 9 was WELL WORTH the money."], "output": ["mango margareta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money, but bar service is slow and lunch is a power."], "output": ["mango margareta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money."], "output": ["wraps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all not fresh, tasteless and the mango margareta at $ 9 was WELL WORTH the money."], "output": ["wraps", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers but salads were all fresh, tasty and the mango margareta at $ 9 was not WELL WORTH the money."], "output": ["wraps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money, but curried casseroles is harsh and room is plain."], "output": ["wraps", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money."], "output": ["burgers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all not fresh, tasteless and the mango margareta at $ 9 was WELL WORTH the money."], "output": ["burgers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty but the mango margareta at $ 9 was not WELL WORTH the money."], "output": ["burgers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money, but service is rude, slices is expensive and food is disappointed."], "output": ["burgers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["now called nikki sushi, sushi is OK."], "output": ["sushi", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["now called nikki sushi, sushi is not OK."], "output": ["sushi", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["now called nikki sushi, sushi is OK, but appetizers is not expensive, wine list is disappointing and place is good."], "output": ["sushi", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["new hamburger with special sauce is ok - at least better than big mac!"], "output": ["new hamburger with special sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["new hamburger with special sauce is not ok-at least better than big mac!"], "output": ["new hamburger with special sauce", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["new hamburger with special sauce is ok-at least really better than big mac!"], "output": ["new hamburger with special sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["new hamburger with special sauce is ok - at least better than big mac, but fortune cookies is a complaint and dining experience is worst."], "output": ["new hamburger with special sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["new hamburger with special sauce is ok - at least better than big mac!"], "output": ["big mac", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["new hamburger with special sauce is ok-at least not better than big mac!"], "output": ["big mac", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["new hamburger with special sauce is absolutely ok-at least better than big mac!"], "output": ["big mac", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["new hamburger with special sauce is ok - at least better than big mac, but recipes is tried-and-true, vegan options is many and food is great."], "output": ["big mac", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."], "output": ["non-sushi selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes free appetizers (nasty non-sushi selection)."], "output": ["non-sushi selection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not extremely not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."], "output": ["non-sushi selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection); hostess is rude, bill is big and manager is a rudeness."], "output": ["non-sushi selection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes blame appetizers (nice non-sushi selection)."], "output": ["appetizers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not incredibly not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection); waiter is a rudeness."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."], "output": ["cocktail hour", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection); taste is short and fortune cookies is a complaint."], "output": ["cocktail hour", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."], "output": ["filet mignon", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was very good at all cocktail hour includes free appetizers (nice non-sushi selection)."], "output": ["filet mignon", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes fully free appetizers (incredibly nice non-sushi selection)."], "output": ["filet mignon", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection); food is outstanding."], "output": ["filet mignon", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["IT WAS OUR ONLY OPPORTUNITY TO VISIT AND WANTED AN AUTHENTIC ITALIAN MEAL."], "output": ["ITALIAN MEAL", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["IT WAS OUR ONLY OPPORTUNITY TO VISIT BUT WANTED A NOT AUTHENTIC ITALIAN MEAL."], "output": ["ITALIAN MEAL", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["IT WAS OUR ONLY OPPORTUNITY TO VISIT AND WANTED AN AUTHENTIC ITALIAN MEAL, but hamburger is tasty."], "output": ["ITALIAN MEAL", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THEY HAVE WAITERS ON THE SIDEWALK TRYING TO PULL YOU IN WHICH MADE US SUSPICIOUS."], "output": ["WAITERS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THEY HAVE WAITERS ON THE SIDEWALK TRYING TO PULL YOU IN WHICH MADE US SUSPICIOUS, but saketini is wonderful and people is worst."], "output": ["WAITERS", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE LASAGNA WAS PROBABLY THE BEST I HAVE TASTED."], "output": ["LASAGNA", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE LASAGNA WAS PROBABLY THE BADLY I HAVE TASTED."], "output": ["LASAGNA", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["THE LASAGNA WAS PROBABLY THE BEST I HAVE TASTED, but meal is terrible, chicken is dark and host is rude."], "output": ["LASAGNA", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is interesting and quite reasonably priced."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is interesting but quite immoderately priced."], "output": ["priced", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is uninteresting but quite not reasonably priced."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is interesting and quite reasonably priced, but host is rude and food is isn't cheap."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is interesting and quite reasonably priced."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is uninteresting but quite not reasonably priced."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is interesting but quite unreasonably priced."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The menu is interesting and quite reasonably priced, but people is worst and delivery is wary."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was delicious and clearly fresh ingredients were used."], "output": ["ingredients", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was delicious but clearly stale ingredients were used."], "output": ["ingredients", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not delicious but clearly fresh ingredients were used."], "output": ["ingredients", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was delicious and clearly fresh ingredients were used, but service is dreadfully slow and food is disappointed."], "output": ["ingredients", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was delicious and clearly fresh ingredients were used."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was not delicious but clearly fresh ingredients were used."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was delicious but clearly stale ingredients were used."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was delicious and clearly fresh ingredients were used, but dining experience is miserable and size is busy."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff was extremely friendly and pleasant."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff was extremely hostile and unpleasant."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff was extremely friendly and pleasant, but lighting is unattractive and food it wasn't cooked fresh."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a little plain, but it's difficult to make such a small place exciting and I would not suggest that as a reason not to go."], "output": ["room", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a little cheer, but it's difficult to make such a small place exciting and I would not suggest that as a reason not to go."], "output": ["room", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a little plain, but it's difficult to make such a small place exciting and I would not suggest that as a reason not to go; Maratha is fresh."], "output": ["room", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a little plain, but it's difficult to make such a small place exciting and I would not suggest that as a reason not to go."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a little plain, but it's difficult to make such a small place exciting and I would not suggest that as a reason not to go; dinner is nice and saketini is wonderful."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a lovely dinner in this dedicated seafood joint, food was well-prepared and -presented and the service was pleasant and prompt."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a lovely dinner in this dedicated seafood joint, food was well-prepared and -presented but the service was unpleasant and not prompt."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a not lovely dinner in this dedicated seafood joint, food was not well-prepared and -presented but the service was pleasant but prompt."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a lovely dinner in this dedicated seafood joint, food was well-prepared and -presented and the service was pleasant and prompt, but meal is expensive, staff is arrogant and bar service is slow."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a lovely dinner in this dedicated seafood joint, food was well-prepared and -presented and the service was pleasant and prompt."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a lovely dinner in this dedicated seafood joint, food was not well-prepared and -presented but the service was pleasant and prompt."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a not lovely dinner in this dedicated seafood joint, food was well-prepared but -presented but the service was unpleasant and not prompt."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a lovely dinner in this dedicated seafood joint, food was well-prepared and -presented and the service was pleasant and prompt, but green chills is not edible, hostess is rude and chicken is dark."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a lovely dinner in this dedicated seafood joint, food was well-prepared and -presented and the service was pleasant and prompt."], "output": ["dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a not lovely dinner in this dedicated seafood joint, food was well-prepared but -presented and the service was pleasant and prompt."], "output": ["dinner", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a lovely dinner in this dedicated seafood joint, food was not well-prepared and -presented but the service was pleasant and prompt."], "output": ["dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Had a lovely dinner in this dedicated seafood joint, food was well-prepared and -presented and the service was pleasant and prompt, but waiting is rude, green chills is not edible and size is busy."], "output": ["dinner", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A nice space, as long as it doesn't get too crowded and a singleminded devotion to its chosen cuisine make Mare a great choice for seafood lovers."], "output": ["cuisine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A nice space, as long as it doesn't get too crowded and a singleminded devotion to its chosen cuisine make Mare a great choice for seafood lovers, but room is plain and cake is average."], "output": ["cuisine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A nice space, as long as it doesn't get too crowded and a singleminded devotion to its chosen cuisine make Mare a great choice for seafood lovers."], "output": ["seafood", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A nice space, as long as it doesn't get too crowded and a singleminded devotion to its chosen cuisine make Mare a not great choice for seafood lovers."], "output": ["seafood", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["A nice space, as long as it doesn't get too crowded and a singleminded devotion to its chosen cuisine make Mare a great choice for seafood lovers, but music is too heavy, owner is fake and mole sauce is too sweet."], "output": ["seafood", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With all the mundane or mediocre places on 8th avenue it is nice to have one that is a step above in quaility and atmosphere."], "output": ["quaility", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With all the mundane or mediocre places on 8th avenue it is nice to have one that is a step below in quaility and atmosphere."], "output": ["quaility", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With all the mundane or mediocre places on 8th avenue it is nice to have one that is a step above in quaility and atmosphere, but disco pop duo is awful and interior is average."], "output": ["quaility", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With all the mundane or mediocre places on 8th avenue it is nice to have one that is a step above in quaility and atmosphere."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With all the mundane or mediocre places on 8th avenue it is nice to have one that is a step below in quaility and atmosphere."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["With all the mundane or mediocre places on 8th avenue it is nice to have one that is a step above in quaility and atmosphere, but space is tasty, waiting is rude and owner is fake."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you like seafood and/or Greek food you will love this place though it is not limited to just these things."], "output": ["seafood", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you like seafood and/or Greek food you will love this place though it is not limited to just these things, but service is terrible."], "output": ["seafood", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you like seafood and/or Greek food you will love this place though it is not limited to just these things."], "output": ["Greek food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["If you like seafood and/or Greek food you will love this place though it is not limited to just these things, but food is fancy, waiters is bad and portions is small."], "output": ["Greek food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was almost always EXCELLENT."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was almost always not EXCELLENT."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was almost always EXCELLENT, but waiters is bad, bartender is rude and hostess is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My favs here are the Tacos Pastor and the Tostada de Tinga..."], "output": ["Tacos Pastor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My not favs here are the Tacos Pastor and the Tostada de Tinga..."], "output": ["Tacos Pastor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My favs here are the Tacos Pastor and the Tostada de Tinga, but curried casseroles is harsh."], "output": ["Tacos Pastor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My favs here are the Tacos Pastor and the Tostada de Tinga..."], "output": ["Tostada de Tinga", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My not favs here are the Tacos Pastor and the Tostada de Tinga..."], "output": ["Tostada de Tinga", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My favs here are the Tacos Pastor and the Tostada de Tinga, but Japanese food is better."], "output": ["Tostada de Tinga", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The decor is what initially got me in the door."], "output": ["decor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The decor is what initially got me in the door, but menu is small."], "output": ["decor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty."], "output": ["stuffed baked potatoes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty, but food is wonderful, rolls is excellent and place is adorable."], "output": ["stuffed baked potatoes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty."], "output": ["meaty chili", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty, but breakfast sandwiches is wonderful and sushi is fresh."], "output": ["meaty chili", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty."], "output": ["chocolate Frosty", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili but stuffed baked potatoes round out a menu that includes a heat, not ultra-thick chocolate Frosty."], "output": ["chocolate Frosty", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Greatly Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty."], "output": ["chocolate Frosty", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty, but bar service is slow and waiter is a rudeness."], "output": ["chocolate Frosty", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty, but prices is great and sushi is fresh."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty."], "output": ["fries", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thin fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty."], "output": ["fries", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a completely cool, fully ultra-thick chocolate Frosty."], "output": ["fries", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thick fries, meaty chili and stuffed baked potatoes round out a menu that includes a cool, ultra-thick chocolate Frosty, but service is attentive and Italian food is simple."], "output": ["fries", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have to say they have one of the fastest delivery times in the city."], "output": ["delivery times", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have to say they have one of the slowest delivery times in the city."], "output": ["delivery times", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have to say they have one of the fastest delivery times in the city, but hostess is rude."], "output": ["delivery times", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is always fresh and hot- ready to eat!"], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is always stale and cold ready to eat!"], "output": ["Food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Food is always fresh and hot- ready to eat, but staff is arrogant."], "output": ["Food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Coffee is a better deal than overpriced Cosi sandwiches."], "output": ["Coffee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Coffee is a worse deal than overpriced Cosi sandwiches."], "output": ["Coffee", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Coffee is a better deal than decidedly overpriced Cosi sandwiches."], "output": ["Coffee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Coffee is a better deal than overpriced Cosi sandwiches, but dining experience is worst."], "output": ["Coffee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Coffee is a better deal than overpriced Cosi sandwiches."], "output": ["Cosi sandwiches", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Coffee is a better deal and  Cosi sandwiches is well priced."], "output": ["Cosi sandwiches", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Coffee is a incredibly better deal than overpriced Cosi sandwiches."], "output": ["Cosi sandwiches", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Coffee is a better deal than overpriced Cosi sandwiches, but teas is great."], "output": ["Cosi sandwiches", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I would only go for the coffee which is way better than Starbucks or the like."], "output": ["coffee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I would only go for the coffee which is not way better than Starbucks or the like."], "output": ["coffee", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I would only go for the coffee which is way better than Starbucks or the like, but waiters is bad, waiting is rude and green chills is not edible."], "output": ["coffee", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["if you're looking for authentic hong kong-style food, look no further."], "output": ["hong kong-style food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["if you're looking for not authentic hong kong-style food, look no further."], "output": ["hong kong-style food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["if you're looking for authentic hong kong-style food, look no further, but staff is bad."], "output": ["hong kong-style food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["rice dishes and noodle dishes rarely exceed $5 and add on a refreshing ice drink for $2 and you're set for the night!"], "output": ["ice drink", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["rice dishes and noodle dishes rarely exceed $ 5 and add on a tire ice drink for $ 2 and you're set for the night!"], "output": ["ice drink", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["rice dishes and noodle dishes rarely exceed $5 and add on a refreshing ice drink for $2 and you're set for the night, but portions is small."], "output": ["ice drink", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["rice dishes and noodle dishes rarely exceed $5 and add on a refreshing ice drink for $2 and you're set for the night!"], "output": ["rice dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["rice dishes and noodle dishes rarely exceed $5 and add on a refreshing ice drink for $2 and you're set for the night, but service is rude, smoothies is big and dish is edible."], "output": ["rice dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["rice dishes and noodle dishes rarely exceed $5 and add on a refreshing ice drink for $2 and you're set for the night!"], "output": ["noodle dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["rice dishes and noodle dishes rarely exceed $5 and add on a refreshing ice drink for $2 and you're set for the night, but slices is expensive."], "output": ["noodle dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, we chose this spot for lunch as we had done a lot of walking and ended up at the South St Seaport."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, we chose this spot for lunch as we had done a lot of walking and ended up at the South St Seaport, but selection of wines (primarily Spanish) is interesting and texture is a velvety."], "output": ["lunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion."], "output": ["red onion", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, red onion."], "output": ["red onion", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion, but rolls with crab is great."], "output": ["red onion", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion."], "output": ["nicoise olives", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, nicoise olives, no red onion."], "output": ["nicoise olives", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion, but menu is varied, taste is short and service is friendly."], "output": ["nicoise olives", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion."], "output": ["egg", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, egg, no anchovy dressing, no nicoise olives, no red onion."], "output": ["egg", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion, but coffee is better, Odessa stew is good and breakfast sandwiches is wonderful."], "output": ["egg", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion."], "output": ["green beans", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["green beans, no egg, no anchovy dressing, no nicoise olives, no red onion."], "output": ["green beans", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion, but food is good."], "output": ["green beans", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion."], "output": ["anchovy dressing", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, anchovy dressing, no nicoise olives, no red onion."], "output": ["anchovy dressing", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["No green beans, no egg, no anchovy dressing, no nicoise olives, no red onion, but place is wonderfully warm welcoming, chicken is great and dining experience is worst."], "output": ["anchovy dressing", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact, this was not a Nicoise salad and was barely eatable."], "output": ["Nicoise salad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["In fact, this was not a Nicoise salad and was barely eatable, but sushi is best."], "output": ["Nicoise salad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unfortunate lady next to us thought she had ordered a salad (including asking for salad dressing) and was instead given a quesedilla."], "output": ["salad dressing", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unfortunate lady next to us thought she had ordered a salad (including asking for salad dressing) and was instead given a quesedilla, but price is reasonable, quality is better and beer selection is great."], "output": ["salad dressing", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unfortunate lady next to us thought she had ordered a salad (including asking for salad dressing) and was instead given a quesedilla."], "output": ["quesedilla", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unfortunate lady next to us thought she had ordered a salad (including asking for salad dressing) and was instead given a quesedilla, but dishes is tasty, dining experience is lovely and staff is good."], "output": ["quesedilla", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unfortunate lady next to us thought she had ordered a salad (including asking for salad dressing) and was instead given a quesedilla."], "output": ["salad", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The unfortunate lady next to us thought she had ordered a salad (including asking for salad dressing) and was instead given a quesedilla, but food is great and staff is knowledgeable."], "output": ["salad", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When she complained, the waitress said, Sorry."], "output": ["waitress", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["When she complained, the waitress said, Sorry, but food is excellent and drinks is awful."], "output": ["waitress", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["15% gratuity automatically added to the bill."], "output": ["gratuity", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["15% gratuity automatically added to the bill, but Italian cuisine is fresh."], "output": ["gratuity", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["15% gratuity automatically added to the bill."], "output": ["bill", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["15% gratuity automatically added to the bill, but food is great."], "output": ["bill", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chocolate raspberry cake is heavenly- not too sweet, but full of flavor."], "output": ["flavor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chocolate raspberry cake is mediocre -- not too sweet, but not full of flavor."], "output": ["flavor", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chocolate raspberry cake is earthly -- too sweet, but full not full of flavor"], "output": ["flavor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chocolate raspberry cake is heavenly- not too sweet, but full of flavor; service is severely slow and food is inconsistent."], "output": ["flavor", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chocolate raspberry cake is heavenly- not too sweet, but full of flavor."], "output": ["chocolate raspberry cake", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chocolate raspberry cake is earthly -- too sweet, but full not full of flavor"], "output": ["chocolate raspberry cake", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chocolate raspberry cake is heavenly -- not too sweet, but not full of flavor."], "output": ["chocolate raspberry cake", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The chocolate raspberry cake is heavenly- not too sweet, but full of flavor; dish is edible, taste is short and service is slow."], "output": ["chocolate raspberry cake", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sit back in one of those comfortable chairs."], "output": ["chairs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sit back in one of those uncomfortable chairs."], "output": ["chairs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sit back in one of those comfortable chairs, but staff is arrogant."], "output": ["chairs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The atmosphere takes you to that place, the place many dream of."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The atmosphere takes you to that place, the place many dream of, but food is not worth and service is slow."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Whether your choose the iced blended mocha or the hot white mocha you are sure to be extremely happy."], "output": ["hot white mocha", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Whether your choose the iced blended mocha or the hot white mocha you are sure to be extremely happy, but portions is small and fortune cookies is a complaint."], "output": ["hot white mocha", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Whether your choose the iced blended mocha or the hot white mocha you are sure to be extremely happy."], "output": ["iced blended mocha", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Whether your choose the iced blended mocha or the hot white mocha you are sure to be extremely happy, but fortune cookies is a complaint, service is horrible and bartenders is horrible."], "output": ["iced blended mocha", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While there's a decent menu, it shouldn't take ten minutes to get your drinks and 45 for a dessert pizza."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While there's a decent menu, it shouldn't take ten minutes to get your drinks and 45 for a dessert pizza, but soup is hot, smoothies is big and dining is worst."], "output": ["drinks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While there's a decent menu, it shouldn't take ten minutes to get your drinks and 45 for a dessert pizza."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While there's a mediocre menu, it shouldn't take ten minutes to get your drinks and 45 for a dessert pizza."], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While there's a decent menu, it shouldn't take ten minutes to get your drinks and 45 for a dessert pizza, but hostess is rude."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While there's a decent menu, it shouldn't take ten minutes to get your drinks and 45 for a dessert pizza."], "output": ["dessert pizza", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["While there's a decent menu, it shouldn't take ten minutes to get your drinks and 45 for a dessert pizza, but location is convenient."], "output": ["dessert pizza", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We ended up having to just leave because we were essentially being ignored by the wait staff--even though the rest of the restaurant was largely empty."], "output": ["wait staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We ended up having to just leave because we were essentially being notice by the wait staff -- even though the rest of the restaurant was largely empty."], "output": ["wait staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We ended up having to just leave because we were essentially being ignored by the wait staff--even though the rest of the restaurant was largely empty, but place is good, service is friendly and non-sushi selection is nice."], "output": ["wait staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["their dinner specials are fantastic."], "output": ["dinner specials", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["their dinner specials are not fantastic."], "output": ["dinner specials", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["their dinner specials are fantastic, but hot dogs is worst."], "output": ["dinner specials", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a gigantic burrito (or tacos), margarita, and dessert."], "output": ["tacos", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a not gigantic burrito (or tacos), margarita, and dessert."], "output": ["tacos", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a gigantic burrito (or tacos), margarita, and dessert, but staff is arrogant and food is below average."], "output": ["tacos", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a gigantic burrito (or tacos), margarita, and dessert."], "output": ["margarita", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a gigantic burrito (or tacos), margarita, and dessert, but food is disappointed and seafood is great."], "output": ["margarita", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a gigantic burrito (or tacos), margarita, and dessert."], "output": ["dessert", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a gigantic burrito (or tacos), margarita, and dessert, but meal is great and vegan options is many."], "output": ["dessert", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a gigantic burrito (or tacos), margarita, and dessert."], "output": ["burrito", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a not gigantic burrito (or tacos), margarita, and dessert."], "output": ["burrito", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["for about eleven bucks you get a gigantic burrito (or tacos), margarita, and dessert, but fish is average and dining experience is miserable."], "output": ["burrito", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["perfect for a quick meal."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["not perfect for a not quick meal."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["perfect for a quick meal, but ground chickpea soup is thin."], "output": ["meal", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It doesn't look like much on the outside, but the minute you walk inside, it's a whole other atmosphere."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It doesn't look like much on the outside, but the minute you walk inside, it's a whole other atmosphere; sushi is bigger."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It doesn't look like much on the outside, but the minute you walk inside, it's a whole other atmosphere."], "output": ["outside", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It doesn't look like much on the outside, but the minute you walk inside, it's a whole other atmosphere; sweet honey-mustard beef short ribs is sweet."], "output": ["outside", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went to Common Stock for brunch and I was so impressed."], "output": ["brunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went to Common Stock for brunch and I was so not impressed."], "output": ["brunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I went to Common Stock for brunch and I was so impressed, but taste is short."], "output": ["brunch", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My friend had a burger and I had these wonderful blueberry pancakes."], "output": ["burger", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My friend had a burger and I had these wonderful blueberry pancakes, but food is great, flavor is full and scene is great."], "output": ["burger", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My friend had a burger and I had these wonderful blueberry pancakes."], "output": ["blueberry pancakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My friend had a burger and I had these not wonderful blueberry pancakes."], "output": ["blueberry pancakes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My friend had a burger and I had these wonderful blueberry pancakes, but meals is terrible."], "output": ["blueberry pancakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were so happy with our food and were even more thrilled when we saw the bill."], "output": ["bill", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were so happy with our food but were even more not thrilled when we saw the bill."], "output": ["bill", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were so unhappy with our food but were even more thrilled when we saw the bill."], "output": ["bill", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were so happy with our food and were even more thrilled when we saw the bill, but sushi is bigger."], "output": ["bill", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were so happy with our food and were even more thrilled when we saw the bill."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were so unhappy with our food and were even more thrilled when we saw the bill."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were so happy with our food but were not thrilled when we saw the bill."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We were so happy with our food and were even more thrilled when we saw the bill, but dish is edible."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL)."], "output": ["sauce cart", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL), but food portion is below average and service is good."], "output": ["sauce cart", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL)."], "output": ["table", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL), but ribs is good."], "output": ["table", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL)."], "output": ["choices of sauces", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL), but taste is worst."], "output": ["choices of sauces", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL)."], "output": ["steak", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL), but Chinese food is best, place is clean and meal is healthy."], "output": ["steak", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was on point - what else you would expect from a Ritz?"], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was not on point-what else you would expect from a Ritz?"], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The service was on point - what else you would expect from a Ritz, but host is rude, hostess is rude and waiter is a rudeness."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dessert was also to die for!"], "output": ["Dessert", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dessert was also to not die for!"], "output": ["Dessert", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dessert was also to die for, but service is poor and service is slow."], "output": ["Dessert", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The quality of the meat was on par with your local grocery store."], "output": ["quality of the meat", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The quality of the meat was not on par with your local grocery store."], "output": ["quality of the meat", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The quality of the meat was on par with your local grocery store, but calamari is a winner and happy hour is cheap."], "output": ["quality of the meat", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is known for bending over backwards to make everyone happy."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is known for bending over backwards to make everyone unhappy."], "output": ["Service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is known for bending over backwards to make everyone happy, but bartender is rude, fish is average and service is bad."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["\"Roy's Classics\"", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are not tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["\" Roy's Classics \"", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs, but sushi is bigger and dish is edible."], "output": ["\"Roy's Classics\"", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["macadamia-crusted mahi mahi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are not tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["macadamia-crusted mahi mahi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs, but lighting is unattractive, fortune cookies is a complaint and music is too heavy."], "output": ["macadamia-crusted mahi mahi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["Dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are not tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["Dishes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs, but service is worst, bill is big and dinners is a power."], "output": ["Dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["sweet honey-mustard beef short ribs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are terrible recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["sweet honey-mustard beef short ribs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs, but sushi is bigger, service is bad and service is worst."], "output": ["sweet honey-mustard beef short ribs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs, but ambiance is romantic, onion rings is best and vegetables is distinctive."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["recipes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are not tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."], "output": ["recipes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dishes denoted as \"Roy's Classics\" (marked on the menu with asterisks) are tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs, but ground chickpea soup is thin and service is worst."], "output": ["recipes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets."], "output": ["sweets", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets; I try lamb chops and fresh juice concoctions is fresh."], "output": ["sweets", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets."], "output": ["dessert", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The worst dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets."], "output": ["dessert", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets; folding chair is uncomfortable and service is awful."], "output": ["dessert", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets."], "output": ["chocolate and peanut butter tart", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets; meal is terrible."], "output": ["chocolate and peanut butter tart", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."], "output": ["steaks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood but not huge steaks, there's also a couple of non-meat alternatives."], "output": ["steaks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a not variety of not great entrees, including stale seafood but huge steaks, there's also a couple of non-meat alternatives."], "output": ["steaks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but food it wasn't cooked fresh."], "output": ["steaks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."], "output": ["non-meat alternatives", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but fennel flavored Italian sausage is heavy, chicken is a love and lamb entree is good."], "output": ["non-meat alternatives", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."], "output": ["seafood", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including stale seafood and huge steaks, there's also a couple of non-meat alternatives."], "output": ["seafood", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a not variety of not great entrees, including fresh seafood and not huge steaks, there's also a couple of non-meat alternatives."], "output": ["seafood", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but folding chair is uncomfortable."], "output": ["seafood", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."], "output": ["entrees", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of not great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."], "output": ["entrees", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including stale seafood but not huge steaks, there's also a couple of non-meat alternatives."], "output": ["entrees", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but staff is bad, price is not worth and host is rude."], "output": ["entrees", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."], "output": ["dinner menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a not variety of not great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."], "output": ["dinner menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including stale seafood but not huge steaks, there's also a couple of non-meat alternatives."], "output": ["dinner menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but food is disappointed."], "output": ["dinner menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the not excellent service by cute waitresses, to the extremely lush atmosphere."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the excellent service by not cute waitresses, to the extremely not lush atmosphere."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere, but dinners is a power, space is tasty and bar service is slow."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere."], "output": ["waitresses", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the excellent service by not cute waitresses, to the extremely lush atmosphere."], "output": ["waitresses", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the not excellent service by cute waitresses, to the extremely not lush atmosphere."], "output": ["waitresses", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere, but hostess is rude."], "output": ["waitresses", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the excellent service by cute waitresses, to the extremely not lush atmosphere."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the not excellent service by not cute waitresses, to the extremely lush atmosphere."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere, but room is plain."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["they really provide a relaxing, laid-back atmosphere."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["they really provide a stiffen, not laid-back atmosphere."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["they really provide a relaxing, laid-back atmosphere, but wait staff is inconsiderate and service is slow."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I came to fresh expecting a great meal, and all I got was marginally so-so food served in a restaurant that was just so freezing we couldn't enjoy eating."], "output": ["served", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I came to fresh expecting a great meal, and all I got was marginally so-so food served in a restaurant that was just so freezing we couldn't enjoy eating, but place is intimate."], "output": ["served", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I came to fresh expecting a great meal, and all I got was marginally so-so food served in a restaurant that was just so freezing we couldn't enjoy eating."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I came to fresh expecting a great meal, and all I got was marginally so-so food served in a restaurant that was just so freezing we couldn't enjoy eating, but place is adorable and Japanese food is decent."], "output": ["meal", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I came to fresh expecting a great meal, and all I got was marginally so-so food served in a restaurant that was just so freezing we couldn't enjoy eating."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I came to fresh expecting a great meal, and all I got was not marginally so-so food served in a restaurant that was just so freezing we couldn't enjoy eating."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I came to fresh expecting a great meal, and all I got was marginally so-so food served in a restaurant that was just so freezing we couldn't enjoy eating, but meal is healthy."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waitress had apparently never tried any of the food, and there was no one to recommend any wine."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waitress had apparently never tried any of the food, and there was no one to recommend any wine, but hot dogs is great and service is happy."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waitress had apparently never tried any of the food, and there was no one to recommend any wine."], "output": ["wine", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waitress had apparently never tried any of the food, and there was no one to recommend any wine, but cooked food is amazed."], "output": ["wine", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waitress had apparently never tried any of the food, and there was no one to recommend any wine."], "output": ["waitress", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Our waitress had apparently never tried any of the food, and there was no one to recommend any wine, but breakfast sandwiches is wonderful and food is great."], "output": ["waitress", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The halibut cheek appetizer came with a generous portion of foie gras, but that's about the only positive thing I can say about the meal."], "output": ["halibut cheek appetizer", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The halibut cheek appetizer came with a generous portion of foie gras, but that's about the only negative thing I can say about the meal."], "output": ["halibut cheek appetizer", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The halibut cheek appetizer came with a incredibly generous portion of foie gras, but that's about the only positive thing I can say about the meal."], "output": ["halibut cheek appetizer", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The halibut cheek appetizer came with a generous portion of foie gras, but that's about the only positive thing I can say about the meal; service is friendly and hostess is gracious."], "output": ["halibut cheek appetizer", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The halibut cheek appetizer came with a generous portion of foie gras, but that's about the only positive thing I can say about the meal."], "output": ["portion of foie gras", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The halibut cheek appetizer came with a stingy portion of foie gras, but that's about the only positive thing I can say about the meal."], "output": ["portion of foie gras", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The halibut cheek appetizer came with a generous portion of foie gras, but that's about the only awfully positive thing I can say about the meal."], "output": ["portion of foie gras", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The halibut cheek appetizer came with a generous portion of foie gras, but that's about the only positive thing I can say about the meal; folding chair is uncomfortable, fortune cookies is a complaint and green chills is not edible."], "output": ["portion of foie gras", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are great - cheap and served in a cozy setting."], "output": ["served", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are great - cheap and served in a cozy setting, but manager is a graceless, dish is edible and delivery is wary."], "output": ["served", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are great - cheap and served in a cozy setting."], "output": ["setting", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are great-cheap but served in a not cozy setting."], "output": ["setting", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are not great-not cheap but served in a cozy setting."], "output": ["setting", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are great - cheap and served in a cozy setting, but service is horrible."], "output": ["setting", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are great - cheap and served in a cozy setting."], "output": ["traditional Italian items", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are not great-not cheap but served in a cozy setting."], "output": ["traditional Italian items", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are great-cheap but served in a not cozy setting."], "output": ["traditional Italian items", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The traditional Italian items are great - cheap and served in a cozy setting, but curried casseroles is harsh."], "output": ["traditional Italian items", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfectly al dente pasta, not drowned in sauce -- generous portions."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfectly al dente pasta, not drowned in sauce -- ungenerous portions."], "output": ["portions", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Imperfectly al dente pasta, extremely not drowned in sauce -- generous portions."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfectly al dente pasta, not drowned in sauce -- generous portions, but service is poor, service is severely slow and service is horrible."], "output": ["portions", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfectly al dente pasta, not drowned in sauce -- generous portions."], "output": ["pasta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Imperfectly al dente pasta, not drowned in sauce -- generous portions."], "output": ["pasta", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfectly al dente pasta, incredibly not drowned in sauce -- generous portions not."], "output": ["pasta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfectly al dente pasta, not drowned in sauce -- generous portions, but service is worst."], "output": ["pasta", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfectly al dente pasta, not drowned in sauce -- generous portions."], "output": ["sauce", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfectly al dente pasta, drowned in sauce -- generous portions."], "output": ["sauce", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Incredibly Perfectly al dente pasta, not drowned in sauce -- deeply generous portions."], "output": ["sauce", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Perfectly al dente pasta, not drowned in sauce -- generous portions, but sushi is fresh."], "output": ["sauce", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We enjoyed ourselves thoroughly and will be going back for the desserts ...."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We enjoyed ourselves thoroughly and will be going back for the desserts , but food is inconsistent."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My Chelsea's impressive and creative menu includes modern, Westernized Japanese dishes such as Foie Gras Unagi Napolean, Jap style hamburger steak, spicy cod roe spaghetti, black cod with miso base, and rack of lamb in black truffle sauce, to name a few."], "output": ["spicy cod roe spaghetti", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My Chelsea's impressive and creative menu includes old_style, not Westernized Japanese dishes such as Foie Gras Unagi Napolean, Jap style hamburger steak, spicy cod roe spaghetti, black cod with miso base, and rack of lamb in black truffle sauce, to name a few."], "output": ["spicy cod roe spaghetti", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My Chelsea's very impressive and absolutely creative menu includes modern, Westernized Japanese dishes such as Foie Gras Unagi Napolean, Jap style hamburger steak, spicy cod roe spaghetti, black cod with miso base, and rack of lamb in black truffle sauce, to name a few."], "output": ["spicy cod roe spaghetti", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My Chelsea's impressive and creative menu includes modern, Westernized Japanese dishes such as Foie Gras Unagi Napolean, Jap style hamburger steak, spicy cod roe spaghetti, black cod with miso base, and rack of lamb in black truffle sauce, to name a few, but dinner is nice and service is a tops."], "output": ["spicy cod roe spaghetti", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My Chelsea's impressive and creative menu includes modern, Westernized Japanese dishes such as Foie Gras Unagi Napolean, Jap style hamburger steak, spicy cod roe spaghetti, black cod with miso base, and rack of lamb in black truffle sauce, to name a few."], "output": ["Foie Gras Unagi Napolean", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My Chelsea's impressive and creative menu includes old_style, not Westernized Japanese dishes such as Foie Gras Unagi Napolean, Jap style hamburger steak, spicy cod roe spaghetti, black cod with miso base, and rack of lamb in black truffle sauce, to name a few."], "output": ["Foie Gras Unagi Napolean", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}