{"task_type": "generation", "dataset": "arts", "input": ["Its size is ideal and the weight is acceptable."], "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": ["Its size is not ideal but the weight is acceptable."], "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": ["Its size is ideal but the weight is unacceptable."], "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": ["Its size is ideal and the weight is acceptable, but mac OS is inferior."], "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": ["Its size is ideal and the weight is acceptable."], "output": ["weight", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 size is ideal but the weight is unacceptable."], "output": ["weight", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 size is not ideal but the weight is acceptable."], "output": ["weight", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 size is ideal and the weight is acceptable, but windows 8 is annoying, sound is crappy and USB ports is a mistake."], "output": ["weight", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 fast, easy to use and it looks great."], "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 fast, easy to use but it looks bad."], "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": ["Its fast, difficult to use but it looks great."], "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 fast, easy to use and it looks great, but instructions is a lack, USB ports is a mistake and price is heavy."], "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 fast, easy to use and it looks great."], "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's fast and it looks great but is 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": ["Its fast, easy to use and it looks not great."], "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 fast, easy to use and it looks great, but power switch is bigger and ox is an overbearing."], "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's fast, light, and simple 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": ["It's slow, heavy, and compound 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": ["It's fast, light, and simple to use, but mac system is uncomfortable."], "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": ["!Excelent performance, usability, presentation and time response."], "output": ["usability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 Excellent performance, usability, presentation and time response."], "output": ["usability", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["!Excelent performance, usability, presentation and time response, but ventilation system is hot."], "output": ["usability", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["!Excelent performance, usability, presentation and time response."], "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 Excellent performance, usability, presentation and time response."], "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": ["!Excelent performance, usability, presentation and time response, but i5 is not as fast, hardware (keyboard) is an issues and intel4000 graphic chip is under powered."], "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": ["!Excelent performance, usability, presentation and time response."], "output": ["time response", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 Excellent performance, usability, presentation and time response."], "output": ["time response", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["!Excelent performance, usability, presentation and time response, but fonts is small and internal speakers is lousy."], "output": ["time response", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["!Excelent performance, usability, presentation and time response."], "output": ["presentation", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 Excellent performance, usability, presentation and time response."], "output": ["presentation", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["!Excelent performance, usability, presentation and time response, but volume is crappy and intel4000 graphic chip is under powered."], "output": ["presentation", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 nice 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": ["Very nasty 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": ["Very nice unibody construction, but bass is weak."], "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": ["A veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7."], "output": ["Windows 7", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7, but internal speakers is lousy, windows 8 is annoying and finger swipes is fancy."], "output": ["Windows 7", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7."], "output": ["USB3", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7, but hardware is better."], "output": ["USB3", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7."], "output": ["Firewire 800", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 not veryimportant feature is not Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3) I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7."], "output": ["Firewire 800", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3) I was not originally sold on the MAC OS I felt it was indeed inferior in many ways To Windows 7."], "output": ["Firewire 800", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7, but case is larger, power switch is bigger and fonts is small."], "output": ["Firewire 800", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7."], "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": ["A veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3) I was not originally sold on the MAC OS I felt it was superior in many ways To Windows 7."], "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": ["A highly veryimportant feature is Firewire 800 which in my experience works decidedly better then USB3 (in PC enabled with USB3) I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7."], "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": ["A veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7, but hard drive is quiet."], "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": ["A veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7."], "output": ["USB3", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 veryimportant feature is Firewire 800 which in my experience works better then USB3 (in PC enabled with USB3)I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7, but size is excellent, ox is an overbearing and memory is enough."], "output": ["USB3", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 laptop with Windows 7 crashed and I did not want 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": ["My laptop with Windows 7 crashed but I want 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": ["My laptop with Windows 7 not crashed but I did not want 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": ["My laptop with Windows 7 crashed and I did not want Windows 8, but install is easy and operating system is a beat."], "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": ["My laptop with Windows 7 crashed and I did not want Windows 8."], "output": ["Windows 7", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 laptop with Windows 7 not crashed but I did not want Windows 8."], "output": ["Windows 7", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 laptop with Windows 7 crashed but I did desire Windows 8."], "output": ["Windows 7", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 laptop with Windows 7 crashed and I did not want Windows 8, but customer service is great."], "output": ["Windows 7", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 mine had broke but I sent it in under warranty-no problems."], "output": ["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": ["And mine had broke but I sent it in under warranty-no problems; fonts is small and windows 8 is a complaint."], "output": ["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": ["The Dell Inspiron is fast and has a number pad on the keyboard, which I miss on my Apple laptops."], "output": ["number pad on the 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": ["The Dell Inspiron is fast and has a number pad on the keyboard, which I miss on my Apple laptops, but price is higher and windows 8 is a complaint."], "output": ["number pad on the 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": ["They are simpler 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": ["They are complex 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": ["They are simpler to use, but features is less."], "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 arrived so fast and customer service was great."], "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": [":] It arrived so fast but customer service was not great."], "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": [":] It arrived so fast and customer service was great, but I dislike rubber pads."], "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 battery life is excellent- 6-7 hours without charging."], "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 -- 6-7 hours without charging."], "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- 6-7 hours without charging, but mac OS is a courtesy, sound is crappy and hardware (keyboard) is an issues."], "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": ["I am still in the process of learning about its features."], "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 am still in the process of learning about its features, but battery life is excellent, durability is strong and operation is slow."], "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": ["It's so nice that the battery last so long and that this machine has the snow lion!"], "output": ["snow 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": ["It's so nice that the battery last so long and that this machine has the snow lion, but keyboard is not very sensitive."], "output": ["snow 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": ["It's so nice that the battery last so long and that this machine has the snow lion!"], "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's so nasty that the battery last so not long and that this machine has the snow lion!"], "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": ["It's so nice that the battery last so long and that this machine has the snow lion, but support for games is a lack, on/off switch is obscure and speakers is worst."], "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": ["A lot of features and shortcuts on the MBP that I was never exposed to on a normal PC."], "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": ["Not a lot of features but lots of shortcuts on the MBP that I was never exposed to on a normal PC."], "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": ["A lot of features and shortcuts on the MBP that I was never exposed to on a normal PC, but graphics is incredible and windows 8 is annoying."], "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": ["A lot of features and shortcuts on the MBP that I was never exposed to on a normal PC."], "output": ["shortcuts", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 lot of features but lots of shortcuts on the MBP that I was never exposed to on a normal PC."], "output": ["shortcuts", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 lot of features and shortcuts on the MBP that I was never exposed to on a normal PC, but hardware is better, create your own bookmarks is easy and use is simpler."], "output": ["shortcuts", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 the perfect size and speed for me."], "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 the imperfect size and speed for me."], "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 the perfect size and speed for me, but track pad is not very good."], "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 the perfect size and speed for me."], "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 is the imperfect size and speed for me."], "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 is the perfect size and speed for me, but interesting is difficult and internal speakers is lousy."], "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": ["working with Mac is so much easier, so many cool features."], "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": ["working with Mac is so much harder, so many cool features."], "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": ["working with Mac is so much easier, so many warm features."], "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": ["working with Mac is so much easier, so many cool features, but case is larger and windows 8 set-ups is frustrated."], "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": ["working with Mac is so much easier, so many cool features."], "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": ["working with Mac is so much easier, so many warm features."], "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": ["working with Mac is so much not easier, so many cool features."], "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": ["working with Mac is so much easier, so many cool features, but spec is disappointed."], "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": ["12.44 seconds to boot."], "output": ["boot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["12.44 seconds to boot, but graphics stuff is nice, presentation is excellent and windows 8 is annoying."], "output": ["boot", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["System is running great."], "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": ["System is running not great."], "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": ["System is running great, but performance is slow, hardware is bad and price is heavy."], "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": ["i love the keyboard and the screen."], "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 hate the keyboard and the screen."], "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 love the keyboard and the screen, but price is higher, support for games is a lack and on/off switch is obscure."], "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 love the keyboard and the screen."], "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": ["i hate the keyboard and the screen."], "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": ["i love the keyboard and the screen, but range is poor and ram is a gripe."], "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 works fine, and all the software seems to run pretty well."], "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 doesn't work well, but all the software seems to run pretty well."], "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 works fine, but all the software seems to run pretty badly."], "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 fine and the software runs well; however, the ventilation system is hot, the case is larger, and the on/off switch is obscure."], "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 fine, and all the software seems to run pretty well."], "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 works fine, but all the software seems to run pretty badly."], "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 works not fine, but all the software seems to run pretty well."], "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 works fine, and all the software seems to run pretty well, but mac system is uncomfortable, instructions is a lack and windows 8 set-ups is frustrated."], "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 is fast 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": ["It is fast 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": ["It is fast and easy to use, but hard drive is poor, USB ports is a mistake and I dislike rubber pads."], "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": ["The speed, the simplicity, the design.. it is lightyears ahead of any PC I have ever owned."], "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 speed, the simplicity, the design.. it is lightyears ahead of any PC I have ever owned, but technical support is not helpful."], "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 speed, the simplicity, the design.. it is lightyears ahead of any PC I have ever owned."], "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": ["The speed, the simplicity, the design.. it is lightyears ahead of any PC I have ever owned, but instructions is a lack and windows 8 is a complaint."], "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": ["The speed, the simplicity, the design.. it is lightyears ahead of any PC I have ever owned."], "output": ["simplicity", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The speed, the simplicity, the design.. it is lightyears ahead of any PC I have ever owned, but material is cheap."], "output": ["simplicity", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 get Apple Customer Support to correct the problem."], "output": ["Apple Customer 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 had to get Apple Customer Support to correct the problem, but graphic design is perfect and weight is acceptable."], "output": ["Apple Customer 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 have been PC for years but this computer is intuitive and its built in features are a great help"], "output": ["built in 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 have been PC for years but this computer is intuitive and its built in features are a not great help"], "output": ["built in 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 have been PC for years but this computer is intuitive and its built in features are a great help; battery is dead."], "output": ["built in 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": ["At home and the office it gets plugged into an external 24\" LCD screen, so built in screen size is not terribly important."], "output": ["built in screen 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": ["At home and the office it gets plugged into an external 24 \" LCD screen, so built in screen size is terribly important."], "output": ["built in screen 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": ["At home and the office it gets plugged into an external 24\" LCD screen, so built in screen size is not terribly important, but audio volume is unusable, apps is beautiful and feels is solid."], "output": ["built in screen 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": ["At home and the office it gets plugged into an external 24\" LCD screen, so built in screen size is not terribly important."], "output": ["external 24\" LCD 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": ["At home and the office it gets plugged into an external 24\" LCD screen, so built in screen size is not terribly important, but looks is solid."], "output": ["external 24\" LCD 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": ["And the fact that Apple is driving the 13\" RMBP with the Intel4000 graphic chip seems underpowered (to me."], "output": ["Intel4000 graphic 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": ["And the fact that Apple is driving the 13\" RMBP with the Intel4000 graphic chip does not seem under powered to me."], "output": ["Intel4000 graphic 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": ["And the fact that Apple is driving the 13\" RMBP with the Intel4000 graphic chip seems underpowered (to me, but resolution is higher, security is apparent and battery life is amazing."], "output": ["Intel4000 graphic 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": ["Boot time is super fast, around anywhere from 35 seconds to 1 minute."], "output": ["Boot time", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 time is not super fast, not anywhere from 35 seconds to 1 minute."], "output": ["Boot time", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 time is super fast, around anywhere from 35 seconds to 1 minute, but price is higher, log into the system is frustrating and hardware is bad."], "output": ["Boot time", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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, light, and is perfect for media editing, which is mostly why I bought it in the first place."], "output": ["media editing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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, light, but is imperfect for media editing, which is mostly why I don't buy it in the first place."], "output": ["media editing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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, light, and is perfect for media editing, which is mostly why I bought it in the first place, but finger swipes is fancy, performance is slow and bass is weak."], "output": ["media editing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 swap out the hard drive for a Samsung 830 SSD which I highly recommend."], "output": ["Samsung 830 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": ["I did swap out the hard drive for a Samsung 830 SSD which I don't highly recommend."], "output": ["Samsung 830 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": ["I did swap out the hard drive for a Samsung 830 SSD which I highly recommend, but hardware is bad, mac OS is a courtesy and operation is slow."], "output": ["Samsung 830 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": ["I did swap out the hard drive for a Samsung 830 SSD which I highly recommend."], "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": ["I did swap out the hard drive for a Samsung 830 SSD which I highly recommend, but body is good."], "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": ["I was considering buying the Air, but in reality, this one has a more powerful performance and seems much more convenient, even though it's about .20 inch thicker and 2 lbs heavier."], "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 was considering buying the Air but in reality this one has a powerfuless performance and seems much more convenient, even though it's about .20 inch thicker and 2 lbs heavier."], "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 was considering buying the Air, but in reality, this one has a more powerful performance and seems much more convenient, even though it's about .20 inch thicker and 2 lbs heavier; sound is crappy and instructions 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": ["It wakes in less than a second when I open the lid."], "output": ["wakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It wakes in less than a second when I open the lid, but memory is not able to be used, mac OS is a courtesy and ram is a gripe."], "output": ["wakes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It wakes in less than a second when I open the lid."], "output": ["lid", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It wakes in less than a second when I open the lid, but battery life is great, transport is easy and graphics stuff is nice."], "output": ["lid", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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't believe how quiet the hard drive is and how quick this thing boots up."], "output": ["boots 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 can't believe how quiet the hard drive is but how not quick this thing boots up."], "output": ["boots 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 can't believe how noisy the hard drive is but how quick this thing boots up."], "output": ["boots 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 can't believe how quiet the hard drive is and how quick this thing boots up, but mac OS is a blame and I don't enjoy touchscreen functions."], "output": ["boots 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 can't believe how quiet the hard drive is and how quick this thing boots up."], "output": ["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 can't believe how noisy the hard drive is but how quick this thing boots up."], "output": ["hard 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": ["I can't believe how quiet the hard drive is but how not quick this thing boots up."], "output": ["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 can't believe how quiet the hard drive is and how quick this thing boots up, but sdxc slot is silly and case is larger."], "output": ["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": ["However, it did not have any scratches, ZERO battery cycle count (pretty surprised), and all the hardware seemed to be working perfectly."], "output": ["battery cycle count", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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, it did not have any scratches, not ZERO battery cycle count (pretty unsurprised), but all the hardware seemed to be working perfectly."], "output": ["battery cycle count", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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, it did not have any scratches, ZERO battery cycle count (pretty surprised), but all the hardware seemed to be working imperfectly."], "output": ["battery cycle count", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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, it did not have any scratches, ZERO battery cycle count (pretty surprised), and all the hardware seemed to be working perfectly, but ram is a gripe and bass is weak."], "output": ["battery cycle count", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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, it did not have any scratches, ZERO battery cycle count (pretty surprised), and all the hardware seemed to be working perfectly."], "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": ["However, it did not have any scratches, ZERO battery cycle count (pretty surprised), but all the hardware seemed to be working imperfectly."], "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": ["However, it did not have any scratches, not ZERO battery cycle count (pretty unsurprised), but all the hardware seemed to be working perfectly."], "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": ["However, it did not have any scratches, ZERO battery cycle count (pretty surprised), and all the hardware seemed to be working perfectly, but USB ports is a mistake and i5 is not as fast."], "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 laptop has only 2 USB ports, and they are both on the same side."], "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": ["This laptop has only 2 USB ports, and they are both on the same side, but SD is better, configure for ads cable or wife is easy and OS is great."], "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 use it mostly for content creation (Audio, video, photo editing) and its reliable."], "output": ["content creation", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I use it mostly for content creation (Audio, video, photo editing) and it is reliable, but the graphics card is faulty."], "output": ["content creation", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I use it mostly for content creation (Audio, video, photo editing) and its reliable."], "output": ["photo editing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I use it mostly for content creation (Audio, video, photo editing) but its uneliable."], "output": ["photo editing", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I use it mostly for content creation (Audio, video, photo editing) and its reliable, but mac OS is inferior, technical support is not helpful and log into the system is frustrating."], "output": ["photo editing", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I use it mostly for content creation (Audio, video, photo editing) and its reliable."], "output": ["Audio", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I use it mostly for content creation (Audio, video, photo editing) but it's unreliable."], "output": ["Audio", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I use it mostly for content creation (Audio, video, photo editing) and its reliable, but power switch is bigger and fonts is small."], "output": ["Audio", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I use it mostly for content creation (Audio, video, photo editing) and its reliable."], "output": ["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": ["I use it mostly for content creation (Audio, video, photo editing) and its unreliable."], "output": ["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": ["I use it mostly for content creation (Audio, video, photo editing) and its reliable, but I don't enjoy touchscreen functions and mac OS is inferior."], "output": ["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 is made of such solid construction and since I have never had a Mac using my iPhone helped me get used to the system a bit."], "output": ["system", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 made of such solid construction and since I have never had a Mac using my iPhone helped me get used to the system a bit, but up is wonderful, USB ports is a mistake and display is excellent."], "output": ["system", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 made of such solid construction and since I have never had a Mac using my iPhone helped me get used to the system a bit."], "output": ["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": ["It is made of such hollow construction and since I have never had a Mac using my iPhone helped me get used to the system a bit."], "output": ["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": ["My Chelsea's entirely impressive and incredibly 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 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 service is great."], "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 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": ["black cod with miso base", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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": ["black cod with miso base", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 badly impressive and greatly 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": ["black cod with miso base", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 service is friendly, salads is good and scene is great."], "output": ["black cod with miso base", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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": ["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": ["My Chelsea's unimpressive and uncreative 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": ["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": ["My Chelsea's impressive and creative menu includes incredibly modern, enormously 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": ["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": ["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 hostess is rude and manager is a graceless."], "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": ["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": ["rack of lamb in black truffle 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": ["My Chelsea's impressive and creative menu includes nonmodern, 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": ["rack of lamb in black truffle 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": ["My Chelsea's completely impressive and enormously 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": ["rack of lamb in black truffle 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": ["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 prices is reasonable."], "output": ["rack of lamb in black truffle 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": ["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": ["Japanese dishes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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": ["Japanese dishes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 fairly impressive and badly 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": ["Japanese dishes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 appetizers is not expensive and meal is inexpensive."], "output": ["Japanese dishes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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": ["Jap style hamburger 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": ["My Chelsea's impressive and creative menu includes nonmodern, 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": ["Jap style hamburger 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": ["My Chelsea's enormously impressive and fully 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": ["Jap style hamburger 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": ["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 lovely and cold sesame noodles is delectable."], "output": ["Jap style hamburger 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": ["Desserts are almost incredible: my personal favorite is their Tart of the Day."], "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": ["Desserts are almost credible: my personal favorite is their Tart of the Day."], "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": ["Desserts are almost incredible: my personal not favorite is their Tart of the Day."], "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": ["Desserts are almost incredible: my personal favorite is their Tart of the Day, but taste is worst."], "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": ["Desserts are almost incredible: my personal favorite is their Tart of the Day."], "output": ["Tart of the Day", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 are almost incredible: my personal not favorite is their Tart of the Day."], "output": ["Tart of the Day", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 are really plain. my personal favorite is their Tart of the Day."], "output": ["Tart of the Day", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 are almost incredible: my personal favorite is their Tart of the Day, but waiter is a rudeness and green chills is not edible."], "output": ["Tart of the Day", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 service, great food, good value, and never have to wait in line!"], "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 Good service, great food, good value, but never have to wait in line!"], "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": ["Good service, not great food, bad value, but have to wait in line!"], "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": ["Good service, great food, good value, and never have to wait in line, but tables is uncomfortably close."], "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": ["Good service, great food, good value, and never have to wait in line!"], "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": ["Good service, great food, good value, but have to wait in line!"], "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": ["Bad service, bad food, bad value, but never have to wait in line!"], "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": ["Good service, great food, good value, and never have to wait in line, but mole sauce is too sweet."], "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": ["Good service, great food, good value, and never have to wait in line!"], "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": ["Good service, great food, bad value, but never have to wait in line!"], "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": ["Not Good service, not great food, good value, but have to wait in line!"], "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": ["Good service, great food, good value, and never have to wait in line, but artificial lobster meat is artificial, service is bad and sales people 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": ["Good service, great food, good value, and never have to wait in line!"], "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 service, not great food, good value, but never have to wait in line!"], "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": ["Bad service, but great food, and bad value, and have to wait in line!"], "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 service, great food, good value, and never have to wait in line, but service is slow, waiter is annoyed and portions 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": ["It's worthwhile to take a cab to Chelsea just for an awesome dinner at My Chelsea."], "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": ["It's worthwhile to take a cab to Chelsea just for an not awesome dinner at My Chelsea."], "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": ["It's worthwhile to take a cab to Chelsea just for an awesome dinner at My Chelsea, but ac is a lack, taste is worst and meal is expensive."], "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 got the opportunity to dine at your establishment again a few weeks ago, I was in your upstrairs dining area."], "output": ["upstrairs dining area", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 opportunity to dine at your establishment again a few weeks ago, I was in your upstrairs dining area, but chairs is comfortable, staff is friendly and I try pasta."], "output": ["upstrairs dining area", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The portions of the food that came out were mediocre."], "output": ["portions of the 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 portions of the food that came out were not mediocre."], "output": ["portions of the 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 portions of the food that came out were mediocre, but food is hot spot and waitstaff is great."], "output": ["portions of the 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": ["How can hope to stay in business with service like this?"], "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": ["How can hope to stay in business with service like this, but naan is great and atmosphere is cool."], "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": ["BEST spicy tuna roll, great asian salad."], "output": ["asian 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": ["BEST spicy tuna roll, not great asian salad."], "output": ["asian 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": ["WORST spicy tuna roll, great asian salad."], "output": ["asian 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": ["BEST spicy tuna roll, great asian salad, but price is not worth and service is terrible."], "output": ["asian 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": ["BEST spicy tuna roll, great asian salad."], "output": ["spicy tuna roll", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 spicy tuna roll, great asian salad."], "output": ["spicy tuna roll", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 spicy tuna roll, not great asian salad."], "output": ["spicy tuna roll", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 spicy tuna roll, great asian salad, but waiter is a rudeness and manager is a rudeness."], "output": ["spicy tuna roll", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 rose roll (not on menu)."], "output": ["rose roll", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 rose roll (not on menu)."], "output": ["rose roll", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 rose roll (not on menu), but filet minor is not very good and food is disappointed."], "output": ["rose roll", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 rose roll (not on 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": ["Try the rose roll (not on menu), but atmosphere is perfect."], "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": ["Make more tables- perhaps a rooftop bar?"], "output": ["rooftop 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": ["Make more tables- perhaps a rooftop bar, but salads is tasty, prices is not terrible and drinks is great."], "output": ["rooftop 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": ["Make more tables- perhaps a rooftop bar?"], "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": ["Make more tables- perhaps a rooftop bar, but wings is good and value is great."], "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": ["the homemade Guacamole, the unbelievable entree, and thee most amazing deserts."], "output": ["deserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the homemade Guacamole, the unbelievable entree, and thee most not amazing deserts."], "output": ["deserts", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the homemade Guacamole, the credible entree, but thee most amazing deserts."], "output": ["deserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the homemade Guacamole, the unbelievable entree, and thee most amazing deserts, but staff is arrogant."], "output": ["deserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the homemade Guacamole, the unbelievable entree, and thee most amazing deserts."], "output": ["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 homemade Guacamole, the credible entree, and thee most amazing deserts."], "output": ["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 homemade Guacamole, the unbelievable entree, but thee most not amazing deserts."], "output": ["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 homemade Guacamole, the unbelievable entree, and thee most amazing deserts, but staff is bad, service is terrible and waiting is rude."], "output": ["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 homemade Guacamole, the unbelievable entree, and thee most amazing deserts."], "output": ["homemade Guacamole", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the homemade Guacamole, the credible entree, and thee most not amazing deserts."], "output": ["homemade Guacamole", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the homemade Guacamole, the unbelievable entree, and thee most amazing deserts, but service is dreadfully slow, space is tasty and clientele is loud-mouthed."], "output": ["homemade Guacamole", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 a Tequila fan you will not be disappointed."], "output": ["Tequila", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 a Tequila fan you will be disappointed."], "output": ["Tequila", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 a Tequila fan you will not be disappointed, but priced is high, curried casseroles is harsh and size is busy."], "output": ["Tequila", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Bring your date and a bottle of wine!"], "output": ["bottle 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": ["Bring your date and a bottle of wine, but food it wasn't cooked fresh and prices is great."], "output": ["bottle 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": ["Tables are close, so you better be comfortable bumping elbows with other patrons."], "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": ["Tables are open, so you better be comfortable bumping elbows with other patrons."], "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": ["Tables are close, so you better be comfortable bumping elbows with other patrons, but crust is perfect, empenadas is excellent and service is hospitable."], "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": ["The food was as creative as the decor and both worked."], "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 was as uncreative as the decor and both worked."], "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 was as creative as the decor and both worked, but service is severely slow and service is slow."], "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 was as creative as the decor and both worked."], "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 as uncreative as the decor and both worked."], "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 as creative as the decor and both worked, but 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": ["Only suggestion is that you skip the dessert, it was overpriced and fell short on taste."], "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": ["Only suggestion is that you skip the dessert, it was not overpriced but fell short on taste."], "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": ["Only suggestion is that you skip the dessert, even if it was well priced and good on taste."], "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": ["Only suggestion is that you skip the dessert, it was overpriced and fell short on taste, but food is great."], "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": ["Only suggestion is that you skip the dessert, it was overpriced and fell short on 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": ["Only suggestion is that you skip the dessert, it was overpriced but fell long on 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": ["Only suggestion is that you skip the dessert, it was not overpriced but fell short on 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": ["Only suggestion is that you skip the dessert, it was overpriced and fell short on taste, but prices is modest, meal is inexpensive and tuna is good."], "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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are classic successes."], "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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are not classic successes."], "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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are classic successes, but 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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are classic successes."], "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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are not classic successes."], "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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are classic successes, but fennel flavored Italian sausage is heavy and waiters is angry."], "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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are classic successes."], "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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are not classic successes."], "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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are classic successes, but waiter is rude."], "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": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are classic successes."], "output": ["lemon-dressed cobb", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are not classic successes."], "output": ["lemon-dressed cobb", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sandwiches, burgers and salads, like the lemon-dressed cobb, are classic successes, but location is convenient."], "output": ["lemon-dressed cobb", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Hip boutiques and bars on Ludlow add to the artsy, laid-back atmosphere at this Israeli-style takeout and eat-in burger joint."], "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": ["Hip boutiques and bars on Ludlow add to the not artsy, not laid-back atmosphere at this Israeli-style takeout and eat-in burger joint."], "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": ["Hip boutiques and bars on Ludlow add to the artsy, laid-back atmosphere at this Israeli-style takeout and eat-in burger joint, but 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": ["Young neighborhood trendies graze at the counter during the day, while chic, art-house drinkers with heavy doses of the munchies pile in late at night."], "output": ["counter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Young neighborhood trendies graze at the counter during the day, while chic, art-house drinkers with heavy doses of the munchies pile in late at night, but service is busy, bartender is happy and service is good."], "output": ["counter", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 small, outdoor eating area makes for a private, comfortable space to study alone or meet up with friends."], "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 small, outdoor eating area makes for a not private, uncomfortable space to study alone or meet up with friends."], "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 very small, outdoor eating area makes for a private, comfortable space to study alone or meet up with friends."], "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 small, outdoor eating area makes for a private, comfortable space to study alone or meet up with friends, but folding chair is uncomfortable, service is slow and service is disappointed."], "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 small, outdoor eating area makes for a private, comfortable space to study alone or meet up with friends."], "output": ["outdoor eating area", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 big, outdoor eating area makes for a private, comfortable space to study alone or meet up with friends."], "output": ["outdoor eating area", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 small, outdoor eating area makes for a not private, uncomfortable space to study alone or meet up with friends."], "output": ["outdoor eating area", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 small, outdoor eating area makes for a private, comfortable space to study alone or meet up with friends, but wait staff is inconsiderate."], "output": ["outdoor eating area", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads--layered with beets, goat cheese and walnuts--are equally scrumptious."], "output": ["Jerusalem market-style falafel 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": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads -- layered with beets, goat cheese but walnuts -- are not equally scrumptious."], "output": ["Jerusalem market-style falafel 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": ["Not Generously garnished, organic grilled burgers are the most unpopular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads -- layered with beets, goat cheese and walnuts -- are equally scrumptious."], "output": ["Jerusalem market-style falafel 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": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads--layered with beets, goat cheese and walnuts--are equally scrumptious; service is slow."], "output": ["Jerusalem market-style falafel 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": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads--layered with beets, goat cheese and walnuts--are equally scrumptious."], "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": ["Generously garnished, organic grilled burgers are the most unpopular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads -- layered with beets, goat cheese and walnuts -- are equally scrumptious."], "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": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps but Mediterranean salads -- layered with beets, goat cheese and walnuts -- are not equally scrumptious."], "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": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads--layered with beets, goat cheese and walnuts--are equally scrumptious; food is isn't cheap and bar service is slow."], "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": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads--layered with beets, goat cheese and walnuts--are equally scrumptious."], "output": ["organic grilled 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 Generously garnished, organic grilled burgers are the most popular unpopular, but the Jerusalem market-style falafel wraps and Mediterranean salads -- layered with beets, goat cheese and walnuts -- are equally scrumptious."], "output": ["organic grilled 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": ["Generously garnished, organic grilled burgers are the most unpopular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads -- layered with beets, goat cheese and walnuts -- are not equally scrumptious."], "output": ["organic grilled 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": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads--layered with beets, goat cheese and walnuts--are equally scrumptious; taste is worst, sauce is not very flavorful and portions is small."], "output": ["organic grilled 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": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads--layered with beets, goat cheese and walnuts--are equally scrumptious."], "output": ["Mediterranean salads--layered with beets, goat cheese and walnuts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Generously garnished, organic grilled burgers are the most popular dish, but the Jerusalem market-style falafel wraps and Mediterranean salads--layered with beets, goat cheese and walnuts--are equally scrumptious; hostess is rude and slices is expensive."], "output": ["Mediterranean salads--layered with beets, goat cheese and walnuts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["carrots", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a not distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["carrots", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the ordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["carrots", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices, but curried casseroles is harsh, drinks is awful and dish is edible."], "output": ["carrots", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["chickpeas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a not distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["chickpeas", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the plain veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["chickpeas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices, but service is slow, filet minor is not very good and service is terrible."], "output": ["chickpeas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["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": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a not distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["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": ["Meat-phobes are in luck with the ordinary veggie burger, made from a nasty blend of chickpeas, carrots and other vegetables and spices."], "output": ["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": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices, but location is convenient and chicken is dark."], "output": ["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": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["spices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a not distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["spices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the ordinary veggie burger, made from a nasty blend of chickpeas, carrots and other vegetables but spices."], "output": ["spices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices, but manager is a graceless."], "output": ["spices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices."], "output": ["veggie burger", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the ordinary veggie burger, made from a distinctive blend of chickpeas, carrots but other vegetables and spices."], "output": ["veggie burger", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, even if made from a plain blend of chickpeas, carrots and other vegetables and spices."], "output": ["veggie burger", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Meat-phobes are in luck with the extraordinary veggie burger, made from a distinctive blend of chickpeas, carrots and other vegetables and spices, but prices is exorbitant and size is busy."], "output": ["veggie burger", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence 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 extremely tasty, creatively presented and the wine excellent."], "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": ["The food was extremely tasty, creatively presented but the wine not excellent."], "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": ["The food was extremely nasty, not creatively presented but the wine excellent."], "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": ["The food was extremely tasty, creatively presented and the wine excellent, but portions is small and waiters is angry."], "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": ["The food was extremely tasty, creatively presented and the wine 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 extremely tasteless, not creatively presented but the wine 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 extremely tasty, creatively presented, however the wine not so much."], "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 extremely tasty, creatively presented and the wine excellent, but service is bad and 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": ["Dug the blue bar area too."], "output": ["blue bar area", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Dug the blue bar area too, but meal is terrible, service is bad and clientele is loud-mouthed."], "output": ["blue bar area", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 Short The Black Sheep distinguishes itself from the Midtown pub herd with a look that's a mix of sports-bar butch and ornate kitsch."], "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": ["In Short The Black Sheep distinguishes itself from the Midtown pub herd with a look that's a mix of sports-bar butch and ornate kitsch; staff is friendly, afternoon snack is good and grilled cheeses is great."], "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": ["\" The menu includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians."], "output": ["burgers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians, but service is great, meal is great and bartender is helpful."], "output": ["burgers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians."], "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 includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians, but pasta primavera is outstanding."], "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 includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians."], "output": ["pub 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": ["\" The menu includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians, but long bar is perfect, salads is tasty and mussels is tasty."], "output": ["pub 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": ["\" The menu includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians."], "output": ["shepherds 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": ["\" The menu includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians, but phone gas is luscious and ingredients is fresh."], "output": ["shepherds 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": ["\" The menu includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians."], "output": ["steaks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians, but I like soft shell crab sandwich with fries."], "output": ["steaks", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians."], "output": ["portabella lasagna", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 includes pub fare--burgers, steaks and shepherds pie--and even a portabella lasagna for those black sheep known as \"vegetarians, but veggie burger is extraordinary and desserts is incredible."], "output": ["portabella lasagna", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 all the [female] servers are cute too, which is always nice."], "output": ["[female] 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 all the [female] servers are cute too, which is always nice, but waiting is rude, service is awful and bartender is rude."], "output": ["[female] 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 portions are very large and the service is fantastic!!"], "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 portions are very little but the service is fantastic!!"], "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 portions are very large but the service is not good!!"], "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 portions are very large and the service is fantastic, but meal is expensive."], "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 portions are very large and the service is fantastic!!"], "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 portions are very large but the service is not fantastic!!"], "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 portions are very little but the service is fantastic!!"], "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 portions are very large and the service is fantastic, but fish is average 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 recomend the chicken milanese."], "output": ["chicken milanese", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 recomend the chicken milanese."], "output": ["chicken milanese", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I recomend the chicken milanese, but taste is short."], "output": ["chicken milanese", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 owner is simply lovely and friendly."], "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": ["and the owner is simply not lovely and unfriendly."], "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": ["and the owner is simply lovely and friendly, but hostess is rude."], "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 teas are great and all the sweets are homemade."], "output": ["sweets", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the teas are great but all the sweets are not homemade."], "output": ["sweets", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the teas are not great but all the sweets are homemade."], "output": ["sweets", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the teas are great and all the sweets are homemade, but food is isn't cheap, waiters is bad and service is disappointed."], "output": ["sweets", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the teas are great and all the sweets are homemade."], "output": ["teas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the teas are not great but all the sweets are homemade."], "output": ["teas", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the teas are great but all the sweets are not homemade."], "output": ["teas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the teas are great and all the sweets are homemade, but food is inconsistent, lighting is unattractive and fish is average."], "output": ["teas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Intimate but charming interior with extremely friendly 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": ["Intimate but charming interior with extremely unfriendly and inattentive 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": ["Intimate but not charming interior with extremely friendly 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": ["Intimate but charming interior with extremely friendly and attentive service; priced 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": ["Intimate but charming interior with extremely friendly and attentive service."], "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": ["Intimate but not charming interior with extremely friendly but attentive service."], "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": ["Intimate but charming interior with extremely unfriendly but inattentive service."], "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": ["Intimate but charming interior with extremely friendly and attentive service; tables is uncomfortably close."], "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 is all-around good, with the rolls usually excellent and the sushi/sashimi not quite on the same level."], "output": ["sushi/sashimi", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence 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 all-around good, with the rolls usually excellent and the sushi/sashimi not quite on the same level, but happy hour is cheap, portions is great and service is happy."], "output": ["sushi/sashimi", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence 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 all-around good, with the rolls usually excellent and the sushi/sashimi not quite on the same level."], "output": ["rolls", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence 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 all-around good, with the rolls usually not excellent and the sushi/sashimi not quite on the same level."], "output": ["rolls", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence 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 all-around bad, though the rolls usually excellent and the sushi/sashimi not quite on the same level."], "output": ["rolls", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence 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 all-around good, with the rolls usually excellent and the sushi/sashimi not quite on the same level, but fortune cookies is a complaint."], "output": ["rolls", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence 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 all-around good, with the rolls usually excellent and the sushi/sashimi not quite on the same level."], "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 all-around bad, with the rolls usually excellent but the sushi/sashimi not quite on the same level."], "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 all-around good, but the rolls are bad, and the sushi/sashimi not quite on the same level"], "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 all-around good, with the rolls usually excellent and the sushi/sashimi not quite on the same level, but sushi is bigger."], "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 is cut a little thinly."], "output": ["sashimi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 is not cut a little thinly."], "output": ["sashimi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 is cut a little thinly, but service is friendly, malted milk ball relate is wonderful and food is excellent."], "output": ["sashimi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 the best Japanese restaurant in the East Village, but it's a pretty solid one for its modest prices, and worth repeat visits."], "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": [") It's not the best Japanese restaurant in the East Village, but it's a pretty solid one for its not modest prices, and worth repeat visits."], "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": [") It's not the best Japanese restaurant in the East Village, but it's a pretty solid one for its modest prices, and worth repeat visits; smoothies is big, staff is friendly and service is severely slow."], "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": ["Not because I was pregnant, but the food here is always 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": ["Not because I was pregnant, but the food here is always 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": ["Not because I was pregnant, but the food here is always delicious; 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": ["Being Puerto Rican I know a thing or two about flan and this place serves one of the best (I hope Mom doesn't read this!)."], "output": ["flan", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Being Puerto Rican I know a thing or two about flan and this place serves one of the best (I hope Mom doesn't read this!), but meals is terrible and waiters is angry."], "output": ["flan", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 bar has it all - great drinks, cool atmosphere, excellent service and delicious food."], "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": ["This bar has it all-not great drinks, cool atmosphere, excellent service but delicious food."], "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": ["This bar has it all-great drinks, heat atmosphere, not excellent service but not delicious food."], "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": ["This bar has it all - great drinks, cool atmosphere, excellent service and delicious food, but lighting is unattractive, manager is a graceless and service is poor."], "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": ["This bar has it all - great drinks, cool atmosphere, excellent service and delicious 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 bar has it all-great drinks, cool atmosphere, excellent service but not delicious 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 bar has almost nothing - not great drinks, bad atmosphere, not excellent service but delicious 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 bar has it all - great drinks, cool atmosphere, excellent service and delicious food, but bar service is slow and 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": ["This bar has it all - great drinks, cool atmosphere, excellent service and delicious food."], "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": ["This bar has it all-great drinks, heat atmosphere, excellent service but delicious food."], "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": ["This bar has it all-not great drinks, cool atmosphere, not excellent service but not delicious food."], "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": ["This bar has it all - great drinks, cool atmosphere, excellent service and delicious food, but service is poor, lighting is unattractive and food is isn't very good."], "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": ["This bar has it all - great drinks, cool atmosphere, excellent service and delicious 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": ["This bar has it all-great drinks, cool atmosphere, not excellent service and delicious 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": ["This bar have it all - bad drinks, unpleasant atmosphere, but excellent service and nasty 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": ["This bar has it all - great drinks, cool atmosphere, excellent service and delicious food, but ac 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": ["The steak melted in my mouth."], "output": ["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 steak melted in my mouth, but cake is average."], "output": ["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 happy hour is so cheap, but that does not reflect the service or 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": ["The happy hour is so cheap, but that does not reflect the service or the atmosphere; curried casseroles is harsh 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 happy hour is so cheap, but that does not reflect the service or 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": ["The happy hour is so cheap, but that does not reflect the service or the atmosphere; food portion is below average 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": ["The happy hour is so cheap, but that does not reflect the service or the atmosphere."], "output": ["happy 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": ["The happy hour is so expensive, but that does not reflect the service or the atmosphere."], "output": ["happy hour", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The happy hour is so cheap, but that does not reflect the service or the atmosphere; people is worst, food is isn't very good and taste is worst."], "output": ["happy 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": ["To the owners; good job guys, this place is a keeper!"], "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": ["To the owners; bad job guys, this place is a keeper!"], "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": ["To the owners; good job guys, this place is a keeper, but service is worst, service is bad and sushi is bigger."], "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 wine list was superb, our tapas delightful, and the quiet atmosphere perfect for good conversation."], "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 was not superb, our tapas delightful, but the quiet atmosphere perfect for good conversation."], "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 was superb, our tapas not delightful, but the unquiet atmosphere imperfect for good conversation."], "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 was superb, our tapas delightful, and the quiet atmosphere perfect for good conversation, but manager is a rudeness, price is not worth and service is terrible."], "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 was superb, our tapas delightful, and the quiet atmosphere perfect for good conversation."], "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 wine list was superb, our tapas delightful, but the loud atmosphere imperfect for good conversation."], "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 wine list was not superb, our tapas not delightful, but the quiet atmosphere perfect for good conversation."], "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 wine list was superb, our tapas delightful, and the quiet atmosphere perfect for good conversation, but portions is small."], "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 wine list was superb, our tapas delightful, and the quiet atmosphere perfect for good conversation."], "output": ["tapas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 was superb, our tapas not delightful, but the quiet atmosphere perfect for good conversation."], "output": ["tapas", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 was not superb, our tapas delightful, but the noisy atmosphere was unfit for good conversation."], "output": ["tapas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 was superb, our tapas delightful, and the quiet atmosphere perfect for good conversation, but slices is expensive, hot dogs is worst and waiting is rude."], "output": ["tapas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 started with the scallops and asparagus and also had the soft shell crab as well as the cheese plate."], "output": ["asparagus", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 started with the scallops and asparagus and also had the soft shell crab as well as the cheese plate, but service is good."], "output": ["asparagus", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 started with the scallops and asparagus and also had the soft shell crab as well as the cheese plate."], "output": ["cheese plate", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 started with the scallops and asparagus and also had the soft shell crab as well as the cheese plate, but I enjoy curry."], "output": ["cheese plate", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 started with the scallops and asparagus and also had the soft shell crab as well as the cheese plate."], "output": ["scallops", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 started with the scallops and asparagus and also had the soft shell crab as well as the cheese plate, but service is worst."], "output": ["scallops", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 started with the scallops and asparagus and also had the soft shell crab as well as the cheese plate."], "output": ["soft shell crab", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 started with the scallops and asparagus and also had the soft shell crab as well as the cheese plate, but french food is greatest and food is great."], "output": ["soft shell crab", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 looking forward to going back soon and eventually trying most everything on 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": ["I'm looking forward to going back soon and eventually trying most everything on the menu, but food is inconsistent and service is slow."], "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": ["Owner is pleasant and entertaining."], "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": ["Owner is unpleasant and not entertaining."], "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": ["Owner is pleasant and entertaining, but food is below average and owner is 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": ["Give it a try, menu is typical French but varied."], "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": ["Give it a try, menu is not typical French but varies."], "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": ["Give it a try, menu is typical French but varied; portions is huge and fennel flavored Italian sausage is heavy."], "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": ["excellent tapas at great prices, romantic, small but not overly crowed, excellent"], "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": ["excellent tapas at not great prices, romantic, small but not overly crowed, excellent"], "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 excellent tapas at great prices, romantic, small but not overly crowed, excellent"], "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": ["excellent tapas at great prices, romantic, small but not overly crowed, excellent; food it wasn't cooked fresh, waiter is a rudeness and wait staff is inconsiderate."], "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": ["excellent tapas at great prices, romantic, small but not overly crowed, excellent"], "output": ["tapas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 excellent tapas at great prices, romantic, small but not overly crowed, excellent"], "output": ["tapas", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["excellent tapas at not great prices, romantic, small but not overly crowed, excellent"], "output": ["tapas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["excellent tapas at great prices, romantic, small but not overly crowed, excellent; service is awful."], "output": ["tapas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 still one of my most favorite restaurants in the area the food is inexpensive but very good (kimono shrimp special was excellent) and has a great 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": ["this is still one of my most favorite restaurants in the area the food is inexpensive but very good (kimono shrimp special was excellent) but has a not great 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": ["this is still one of my most favorite restaurants in the area the food is expensive but very bad (kimono shrimp special was not excellent) but has a great 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": ["this is still one of my most favorite restaurants in the area the food is inexpensive but very good (kimono shrimp special was excellent) and has a great atmosphere; cake is not worth standing outside."], "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": ["this is still one of my most favorite restaurants in the area the food is inexpensive but very good (kimono shrimp special was excellent) and has a great atmosphere."], "output": ["kimono shrimp special", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 still one of my most favorite restaurants in the area the food is inexpensive but very good (kimono shrimp special was not excellent) but has a great atmosphere."], "output": ["kimono shrimp special", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 still one of my most favorite restaurants in the area the food is expensive but very bad (kimono shrimp special was excellent) but has a not great atmosphere."], "output": ["kimono shrimp special", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 still one of my most favorite restaurants in the area the food is inexpensive but very good (kimono shrimp special was excellent) and has a great atmosphere; meal is expensive and bill is big."], "output": ["kimono shrimp special", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 still one of my most favorite restaurants in the area the food is inexpensive but very good (kimono shrimp special was excellent) and has a great 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": ["this is still one of my most favorite restaurants in the area the food is expensive but very bad (kimono shrimp special was excellent) but has a great 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": ["this is still one of my most favorite restaurants in the area the food is inexpensive but very good (kimono shrimp special was not excellent) but has a not great 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": ["this is still one of my most favorite restaurants in the area the food is inexpensive but very good (kimono shrimp special was excellent) and has a great atmosphere; waiter is rude and service 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": ["Can be a bit busy around peak times because of the size."], "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": ["Can be a bit idle around peak times because of the size."], "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": ["Can be a bit busy around peak times because of the size, but I enjoy curry."], "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 went to Kitchenette this weekend for brunch."], "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 Kitchenette this weekend for brunch, but dining experience is miserable."], "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": ["The place is absolutely adorable and the food is delicious."], "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 absolutely not adorable but the food is delicious."], "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 absolutely adorable but the food is tasteless."], "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 absolutely adorable and the food is delicious, but taste is short."], "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 absolutely adorable and the food is 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": ["The place is absolutely adorable but the food is 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": ["The place is absolutely unpleasant but the food is 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": ["The place is absolutely adorable and the food is delicious, but waiter is rude, menu is small and mole sauce is too sweet."], "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, the service is absolutely horrible."], "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": ["However, the service is absolutely not 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": ["However, the service is absolutely horrible, but food is amazing and menu is creative."], "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 waitstaff is solicitous and friendly and always seems glad to see us, and the food is wonderful, if not stunningly creative."], "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": ["The waitstaff is not solicitous but unfriendly and always seems glad to see us, and the food is wonderful, if not stunningly creative."], "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": ["The waitstaff is solicitous but friendly and always seems glad to see us, and the food is not wonderful, if not stunningly creative."], "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": ["The waitstaff is solicitous and friendly and always seems glad to see us, and the food is wonderful, if not stunningly creative, but staff is arrogant, meals is terrible and portions is small."], "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": ["The waitstaff is solicitous and friendly and always seems glad to see us, and the food is wonderful, if not stunningly creative."], "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 waitstaff is solicitous and friendly and always seems glad to see us, but the food is not wonderful, if not stunningly 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": ["The waitstaff is not solicitous and unfriendly and always seems glad to see us, but the food is wonderful, if not stunningly creative."], "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 waitstaff is solicitous and friendly and always seems glad to see us, and the food is wonderful, if not stunningly creative, but drinks is awful, people is worst and 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": ["I'm in love with the lobster ravioli!"], "output": ["lobster ravioli", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 lobster ravioli!"], "output": ["lobster ravioli", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no 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 in love with the lobster ravioli, but food is below average."], "output": ["lobster ravioli", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is 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 recently spent New Year's Eve at the restaurant, and had a great experience, from the wine to the dessert menu."], "output": ["dessert 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": ["We recently spent New Year's Eve at the restaurant, and had a not great experience, from the wine to the dessert menu."], "output": ["dessert 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": ["We recently spent New Year's Eve at the restaurant, and had a great experience, from the wine to the dessert menu, but taste is short, portions is small and waiter is a rudeness."], "output": ["dessert 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": ["We recently spent New Year's Eve at the restaurant, and had a great experience, from the wine to the dessert menu."], "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 recently spent New Year's Eve at the restaurant, but didn't have a great experience, from the wine to the dessert menu."], "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 recently spent New Year's Eve at the restaurant, and had a great experience, from the wine to the dessert menu, but cake is not worth standing outside and meal is terrible."], "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": ["This place is classy, chic, the service is warm and hospitable, and the food is outstanding."], "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 place is not classy, not chic, the service is warm but hospitable, and the food is outstanding."], "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\"] "}