{"task_type": "generation", "dataset": "towe", "input": ["This place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time ."], "output": "['staff', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food , great prices , great service ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food , great prices , great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["If you are looking for a good quality , cheap eats - this is the place ."], "output": "['eats', ['good', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["it 's a perfect place to have a amazing indian food ."], "output": "['indian', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I really loved the different and inovated touch that 's the cheff gives to the food ."], "output": "['cheff', ['loved', 'inovated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["also it 's great to have dinner in a very romantic and comfortable place , the service it 's just perfect ... they 're so frendly that we never want to live the place !"], "output": "['place', ['romantic', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["also it 's great to have dinner in a very romantic and comfortable place , the service it 's just perfect ... they 're so frendly that we never want to live the place !"], "output": "['service', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Their bagels are fine , but they are a little overcooked , and not really a 'special ' bagel experience ."], "output": "['bagels', ['fine', 'overcooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great bagels made the old-fashioned way ."], "output": "['bagels', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Drawbacks : service is slow and they do n't toast !"], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was absolutely amazing ! !"], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The baked clams octopus we shared as appetizers were the best we 've ever had ! !"], "output": "['baked', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The lamb was tender so full of flavor , the dessert was divine ! !"], "output": "['lamb', ['tender']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The lamb was tender so full of flavor , the dessert was divine ! !"], "output": "['dessert', ['divine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The waiter was attentive ."], "output": "['waiter', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The place itself is beautiful the bar scene seems to be happening ."], "output": "['place', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Downtown Dinner 2002 - Prixe fix : Appetizers were ok , waiter gave me poor suggestion ... try the potato stuff kanish best one ."], "output": "['Appetizers', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Downtown Dinner 2002 - Prixe fix : Appetizers were ok , waiter gave me poor suggestion ... try the potato stuff kanish best one ."], "output": "['waiter', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Downtown Dinner 2002 - Prixe fix : Appetizers were ok , waiter gave me poor suggestion ... try the potato stuff kanish best one ."], "output": "['potato', ['try', 'best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "['salmon', ['wasnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "['chicken', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "['servings', ['Small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Dessert is a joke ... dont bother"], "output": "['Dessert', ['joke']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Volare virgins or weekly regulars , everyone gets treated the same and you ca n't ask for more than that when the service is this friendly ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The restaurant has a Family feel , not least with regard to the portions which are enormous ; the veal alone could have single-handedly solved third world famine ."], "output": "['restaurant', ['Family']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The restaurant has a Family feel , not least with regard to the portions which are enormous ; the veal alone could have single-handedly solved third world famine ."], "output": "['portions', ['enormous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "['anti-pasta', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "['calamari', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "['pasta', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and can easily hike up an otherwise reasonably priced meal ."], "output": "['wine', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and can easily hike up an otherwise reasonably priced meal ."], "output": "['meal', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Still , any quibbles about the bill were off-set by the pour-your-own measures of liquers which were courtesey of the house ..."], "output": "['measures', ['pour-your-own', 'courtesey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Fantastic place ."], "output": "['place', ['Fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Lucky Strike is a great casual place to just grab a bite to eat ."], "output": "['Lucky', ['great', 'casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food , great decor , great service ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food , great decor , great service ."], "output": "['decor', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food , great decor , great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This is the perfect spot for meeting friends , having lunch , dinner , pre-theatre or after-theatre drinks !"], "output": "['spot', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Excellent spot for holiday get togethers with co-workers or friends that you have n't seen in a while ."], "output": "['spot', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have been doing all of the above at the Heartland Brewery for over 5 years now and I HAVE NEVER BEEN DISAPPOINTED !"], "output": "['Heartland', ['NEVER']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["What a great place !"], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Not the typical NYC gimmick theme restaurant ."], "output": "['restaurant', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A cool bar with great food , and tons of excellent beer ."], "output": "['bar', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A cool bar with great food , and tons of excellent beer ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A cool bar with great food , and tons of excellent beer ."], "output": "['beer', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The shrimp scampi was excellent and the antipasti were plentiful ."], "output": "['shrimp', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The shrimp scampi was excellent and the antipasti were plentiful ."], "output": "['antipasti', ['plentiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The only thing more wonderful than the food ( which is exceptional ) is the service ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The only thing more wonderful than the food ( which is exceptional ) is the service ."], "output": "['service', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Cozy romantic atomosphere with only around 15 tables at most ."], "output": "['atomosphere', ['Cozy', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Service was very prompt but slightly rushed ."], "output": "['Service', ['prompt', 'rushed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Food was very good , but not what I would consider out of this world ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Too bad the food was n't of the same heritage ."], "output": "['food', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The porcini mushroom pasta special was tasteless , so was the seafood tagliatelle ."], "output": "['porcini', ['tasteless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The porcini mushroom pasta special was tasteless , so was the seafood tagliatelle ."], "output": "['seafood', ['tasteless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["But that was n't the icing on the cake : a tiramisu that resembled nothing I have ever had ."], "output": "['tiramisu', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I really liked this place ."], "output": "['place', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place has the best Chinese style BBQ ribs in the city ."], "output": "['BBQ', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I also recommend the rice dishes or the different varieties of congee ( rice porridge ) ."], "output": "['rice', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I also recommend the rice dishes or the different varieties of congee ( rice porridge ) ."], "output": "['congee', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["It 's definately not a place to go if you want to impress someone ."], "output": "['place', ['impress']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["However , if you want great food at a great price and do n't mind the decor , you ca n't beat this place ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Quick and friendly service ."], "output": "['service', ['Quick', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ."], "output": "['main', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ."], "output": "['ceiling', ['spectacular', 'hand-painted', 'high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is wonderful , tasty and filling , and the service is professional and friendly ."], "output": "['food', ['wonderful', 'tasty', 'filling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is wonderful , tasty and filling , and the service is professional and friendly ."], "output": "['service', ['professional', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I ca n't wait for summer , when they serve outside on their gigantic patio ."], "output": "['patio', ['gigantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I recently tried Suan and I thought that it was great ."], "output": "['Suan', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This little place definitely exceeded my expectations and you sure get a lot of food for your money ."], "output": "['food', ['lot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This little place definitely exceeded my expectations and you sure get a lot of food for your money ."], "output": "['place', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "['service', ['fast', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "['hot', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Good food ."], "output": "['food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Good drink ."], "output": "['drink', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great spot , whether looking for a couple of drinks or quiet dinner ."], "output": "['spot', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Warm and friendly in the winter and terrific outdoor seating in the warmer months ."], "output": "['outdoor', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is great and they have a good selection of wines at reasonable prices ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is great and they have a good selection of wines at reasonable prices ."], "output": "['wines', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['ambiance', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['food', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['service', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["i 've been to sapphire twice and both times the food was fine , if not good ."], "output": "['food', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["stick with the chicken , beef , and lamb dishes ."], "output": "['chicken', ['stick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["stick with the chicken , beef , and lamb dishes ."], "output": "['beef', ['stick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["stick with the chicken , beef , and lamb dishes ."], "output": "['lamb', ['stick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["service is friendly , and never had a problem walking in and getting a table ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["skip dessert ."], "output": "['dessert', ['skip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best Reuben sandwich ever !"], "output": "['Reuben', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Do n't miss Bloom 's on your next trip to Manhatten ."], "output": "['Bloom', ['miss']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Thanks Bloom 's for a lovely trip ."], "output": "['Bloom', ['Thanks', 'lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was not fresh , the sauces were bland and very oily ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was not fresh , the sauces were bland and very oily ."], "output": "['sauces', ['bland', 'oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Pizza was a little soggy ."], "output": "['Pizza', ['soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Ravioli was good ... but I have to say that I found everything a bit overpriced ."], "output": "['Ravioli', ['good', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Not enough wines by the glass either ."], "output": "['wines', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Service , however , was excellent ... and I liked the setting/atmosphere a lot ."], "output": "['Service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Service , however , was excellent ... and I liked the setting/atmosphere a lot ."], "output": "['setting/atmosphere', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Food was just average ... if they lowered the prices just a bit , it would be a bigger draw ."], "output": "['Food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place is a great bargain ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Authentic Pakistani food ."], "output": "['Pakistani', ['Authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["People are always friendly ."], "output": "['People', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Just straight up cheap , good food ."], "output": "['food', ['cheap', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Faan is sooo good ."], "output": "['Faan', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The best pad thai i 've ever had ."], "output": "['pad', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The design and atmosphere is just as good ."], "output": "['design', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The design and atmosphere is just as good ."], "output": "['atmosphere', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["bottles of wine are cheap and good ."], "output": "['bottles', ['cheap', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was actually aweful ."], "output": "['food', ['aweful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The mussles were the fishiest things I 've ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w/ chicken had bones in it ... It was disgusting ."], "output": "['mussles', ['fishiest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The mussles were the fishiest things I 've ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w/ chicken had bones in it ... It was disgusting ."], "output": "['seabass', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The mussles were the fishiest things I 've ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w/ chicken had bones in it ... It was disgusting ."], "output": "['goat', ['missing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The mussles were the fishiest things I 've ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w/ chicken had bones in it ... It was disgusting ."], "output": "['penne', ['disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Nice atmosphere , the service was very pleasant and the desert was good ."], "output": "['atmosphere', ['Nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Nice atmosphere , the service was very pleasant and the desert was good ."], "output": "['service', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Nice atmosphere , the service was very pleasant and the desert was good ."], "output": "['desert', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is amazing , rich pastas and fresh doughy pizza ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is amazing , rich pastas and fresh doughy pizza ."], "output": "['pastas', ['rich']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is amazing , rich pastas and fresh doughy pizza ."], "output": "['pizza', ['fresh', 'doughy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "['vibe', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "['owner', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "['service', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["the drinks are amazing and half off till 8pm ."], "output": "['drinks', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Ask for Usha , the nicest bartender in manhattan ."], "output": "['Usha', ['nicest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["My fav was the sassy lassi ..."], "output": "['sassy', ['fav']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This is an amazing place to try some roti rolls ."], "output": "['roti', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I really recommend the very simple Unda ( Egg ) rolls ."], "output": "['Unda', ['recommend', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['spices', ['Delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['onions', ['Delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['eggs', ['Delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['roti', ['kick-ass']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Toons has recently been redone , so it 's now a very attractive space ."], "output": "['Toons', ['attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food 's as good as ever ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["In an area sadly lacking in decent Thai food , this is one of the best spots ."], "output": "['Thai', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Went here last night - nice decor , good service , but the food was surprisingly excellent ."], "output": "['decor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Went here last night - nice decor , good service , but the food was surprisingly excellent ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Went here last night - nice decor , good service , but the food was surprisingly excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The portions are HUGE , so it might be good to order three things to split ( rather than one appetizer and entree per person ) for two people ."], "output": "['portions', ['HUGE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best drumsticks over rice and sour spicy soup in town !"], "output": "['drumsticks', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best drumsticks over rice and sour spicy soup in town !"], "output": "['sour', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Beef noodle soup is good as well ."], "output": "['Beef', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service is good and the resturant is clean ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service is good and the resturant is clean ."], "output": "['resturant', ['clean']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best Taiwanese food in NY !"], "output": "['Taiwanese', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have been to Rao 's probably 15 times the past 3 years and it keeps getting better ."], "output": "['Rao', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Rao 's has the best service and atmosphere in NYC ."], "output": "['service', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Rao 's has the best service and atmosphere in NYC ."], "output": "['atmosphere', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["My roommate and I LOVE this place ."], "output": "['place', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["We recently decided to try this location , and to our delight , they have outdoor seating , perfect since I had my yorkie with me ."], "output": "['outdoor', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Indoor was very cozy and cute ."], "output": "['Indoor', ['cozy', 'cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The portion sizes here are huge , and the sushi is good ."], "output": "['portion', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The portion sizes here are huge , and the sushi is good ."], "output": "['sushi', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Staff is very accomodating ."], "output": "['Staff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Excellent dumplings served amid clean , chic decor ."], "output": "['dumplings', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Excellent dumplings served amid clean , chic decor ."], "output": "['decor', ['clean', 'chic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I got the $ 10 10-piece dim sum combo , every bite of which was great ."], "output": "['$', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The decor is very simple but comfortable ."], "output": "['decor', ['simple', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was delicious but do not come here on a empty stomach ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The portions are small but being that the food was so good makes up for that ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The portions are small but being that the food was so good makes up for that ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["You must have the crabmeat lasagna which is out of this world and the chocolate bread pudding for dessert ."], "output": "['crabmeat', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The staff there is very attentive and down to earth ."], "output": "['staff', ['attentive', 'down']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great Indian food and the service is incredible ."], "output": "['Indian', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great Indian food and the service is incredible ."], "output": "['service', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food and the prices are very reasonable ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food here does a great service to the name ( Cantonese that is ... ) ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I fell in love with the egg noodles in the beef broth with shrimp dumplings and slices of BBQ roast pork ."], "output": "['egg', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This dish is my favorite and I always get it when I go there and never get tired of it ."], "output": "['dish', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Try the congee and the donut like deep fried dough they call Ow Ley Soh , a delicious and sweet tasting bread ."], "output": "['Ow', ['delicious', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Simply some good tasting Chinese food at incredible prices ..."], "output": "['Chinese', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Big Wong is a great place to eat and fill your stomach ."], "output": "['Big', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["whoever the jazz duo was , they were on POINT ."], "output": "['jazz', ['on']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['music', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['service', ['speedy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["even the wine by the glass was good ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Consistently good Japanese Tapas ."], "output": "['Japanese', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Always good drinks and service is pretty good ;"], "output": "['drinks', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Always good drinks and service is pretty good ;"], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Atmosphere is nice and relaxed too ..."], "output": "['Atmosphere', ['nice', 'relaxed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A great place to meet up for some food and drinks ..."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Yakitori ( bbq meats ) is tasty too ."], "output": "['Yakitori', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "['fish', ['low']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "['staff', ['unfriendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "['sushi', ['miserable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Fabulous decor - makes you feel like you 're in a trendy Manhattan restaurant , very very good food , cheaply-priced , generally friendly staff , and if you 're a Manhattanite , or spend most of your time in Manhattan , Rice Avenue will make you feel at home ... ..very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele ... ..all on Roosevelt Avenue !"], "output": "['decor', ['Fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Fabulous decor - makes you feel like you 're in a trendy Manhattan restaurant , very very good food , cheaply-priced , generally friendly staff , and if you 're a Manhattanite , or spend most of your time in Manhattan , Rice Avenue will make you feel at home ... ..very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele ... ..all on Roosevelt Avenue !"], "output": "['food', ['good', 'cheaply-priced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Fabulous decor - makes you feel like you 're in a trendy Manhattan restaurant , very very good food , cheaply-priced , generally friendly staff , and if you 're a Manhattanite , or spend most of your time in Manhattan , Rice Avenue will make you feel at home ... ..very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele ... ..all on Roosevelt Avenue !"], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["One would think we 'd get an apology or complimentary drinks - instead , we got a snobby waiter would n't even take our order for 15 minutes and gave us lip when we asked him to do so ."], "output": "['waiter', ['snobby']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['food', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['wait-staff', ['arrogant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['service', ['clumsy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I am relatively new to the area and tried Pick a bgel on 2nd and was disappointed with the service and I thought the food was overated and on the pricey side ."], "output": "['service', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I am relatively new to the area and tried Pick a bgel on 2nd and was disappointed with the service and I thought the food was overated and on the pricey side ."], "output": "['food', ['overated', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is okay and the prices here are mediocre ."], "output": "['food', ['okay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Baluchi 's has solid food and a nice decor at reasonable prices ."], "output": "['food', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Baluchi 's has solid food and a nice decor at reasonable prices ."], "output": "['decor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Baluchi 's has solid food and a nice decor at reasonable prices ."], "output": "['Baluchi', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The only problem is that the manager is a complete incompetent ."], "output": "['manager', ['incompetent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["He offers subpar service and has no personality ."], "output": "['service', ['subpar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["There is no excuse for such lousy service !"], "output": "['service', ['lousy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have never before eaten 40 pieces of relatively good nigiri ."], "output": "['nigiri', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["$ 20 for all you can eat sushi can not be beaten ."], "output": "['all', ['beaten']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I went to Areo on a Sunday afternoon with four of my girlfriends , and spent three enjoyable hours there ."], "output": "['Areo', ['enjoyable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Most of the servers are very attentive , friendly and quite attractive ."], "output": "['servers', ['attentive', 'friendly', 'attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "['vibe', ['relaxed', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went ."], "output": "['view', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I would highly recommand requesting a table by the window ."], "output": "['table', ['recommand']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat ."], "output": "['place', ['relaxing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is great ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Personal pans are the perfect size for those hungry nights ."], "output": "['Personal', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["There is a downside if you 're ordering in -- the delivery guys have MAJOR attitude ."], "output": "['delivery', ['downside']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Never have I had such dramatic delivery guys ( a lot of huffing and panting and muttering under breath b/c I live in a walkup ) who always seem disappointed with their tips ."], "output": "['delivery', ['dramatic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Love the scene first off- the place has a character and nice light to it..very fortunate , location wise ."], "output": "['scene', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Love the scene first off- the place has a character and nice light to it..very fortunate , location wise ."], "output": "['place', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Love the scene first off- the place has a character and nice light to it..very fortunate , location wise ."], "output": "['location', ['fortunate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The pizza was pretty good and huge ."], "output": "['pizza', ['good', 'huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["We were 4 and got the family size penne a la vodka which was tremendously gigantic portion ... a bucket of food literally ."], "output": "['penne', ['gigantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The pasta penne was pretty extra buttery , creamy which means a big task to diggest.. tasty at first but i would say that i was full with a slice of pizza and 7 to count , penne ... got a little moody afterwards cause was stuffed ... lol"], "output": "['pasta', ['buttery']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["La Rosa waltzes in , and I think they are doing it the best ."], "output": "['La', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['wines', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['service', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['decor', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['selection', ['Interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I found it on a cold night , the perfect spot to warm up ."], "output": "['spot', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I recieved prompt service with a smile ."], "output": "['service', ['prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place blew me away ... by far my new favorite restaurant on the uppereast side ."], "output": "['place', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and impressive ."], "output": "['wine', ['extensive', 'impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["LOVE the atmosphere - felt like I was in Paris ."], "output": "['atmosphere', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The mussels were fantastic and so was the dessert ... definitely going to be back very soon ."], "output": "['mussels', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The mussels were fantastic and so was the dessert ... definitely going to be back very soon ."], "output": "['dessert', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna ."], "output": "['staff', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Over the years the host , Vittorio , and his crew , have always treated me as family -- although with all the business this not-so-little gem does , it amazing he 's even able to remember a consistent but not-so-frequent visitor ."], "output": "['host', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 've also been amazed at all the new additions in the past few years : A new Jazz Bar , the most fantastic Dining Garden , the Best Thin Crust Pizzas , and now a Lasagna Menu which is to die for ( these are not your average lasagnas ) !"], "output": "['Dining', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 've also been amazed at all the new additions in the past few years : A new Jazz Bar , the most fantastic Dining Garden , the Best Thin Crust Pizzas , and now a Lasagna Menu which is to die for ( these are not your average lasagnas ) !"], "output": "['Jazz', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 've also been amazed at all the new additions in the past few years : A new Jazz Bar , the most fantastic Dining Garden , the Best Thin Crust Pizzas , and now a Lasagna Menu which is to die for ( these are not your average lasagnas ) !"], "output": "['Thin', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 've also been amazed at all the new additions in the past few years : A new Jazz Bar , the most fantastic Dining Garden , the Best Thin Crust Pizzas , and now a Lasagna Menu which is to die for ( these are not your average lasagnas ) !"], "output": "['Lasagna', ['die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I lOVE THIS PLACE !"], "output": "['PLACE', ['lOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have to say I have never had a disapointing meal here ."], "output": "['meal', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["We could have made a meal of the yummy dumplings from the dumpling menu ."], "output": "['dumplings', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Luckily we saved room for the BBQ Salmon , Sea Bass and Crispy Duck ."], "output": "['BBQ', ['Luckily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Luckily we saved room for the BBQ Salmon , Sea Bass and Crispy Duck ."], "output": "['Sea', ['Luckily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Luckily we saved room for the BBQ Salmon , Sea Bass and Crispy Duck ."], "output": "['Crispy', ['Luckily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Love Al Di La"], "output": "['Al', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I recommend this place to everyone ."], "output": "['place', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."], "output": "['pastas', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."], "output": "['risottos', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."], "output": "['sepia', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."], "output": "['braised', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food here was mediocre at best ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["It was totally overpriced - fish and chips was about $ 15 ... ."], "output": "['fish', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Tasty Dog !"], "output": "['Dog', ['Tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["An awesome organic dog , and a conscious eco friendly establishment ."], "output": "['dog', ['organic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["An awesome organic dog , and a conscious eco friendly establishment ."], "output": "['establishment', ['eco']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["But the best pork souvlaki I ever had is the main thing ."], "output": "['pork', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Super YUMMY Pizza !"], "output": "['Pizza', ['YUMMY']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I was visiting New York City with a friend and we discovered this really warm and inviting restaurant ."], "output": "['restaurant', ['inviting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I LOOOVE their eggplant pizza , as well as their pastas !"], "output": "['eggplant', ['LOOOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I LOOOVE their eggplant pizza , as well as their pastas !"], "output": "['pastas', ['LOOOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["We had half/half pizza , mine was eggplant and my friend had the buffalo and it was sooo huge for a small size pizza !"], "output": "['half/half', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Excellent food , although the interior could use some help ."], "output": "['food', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Excellent food , although the interior could use some help ."], "output": "['interior', ['help']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I paid just about $ 60 for a good meal , though : )"], "output": "['meal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great sake !"], "output": "['sake', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Reliable , Fresh Sushi"], "output": "['Sushi', ['Reliable', 'Fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The sashimi is always fresh and the rolls are innovative and delicious ."], "output": "['sashimi', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The sashimi is always fresh and the rolls are innovative and delicious ."], "output": "['rolls', ['innovative', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Have never had a problem with service save a missing rice once ."], "output": "['service', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Delivery can be spot on or lacking depending on the weather and the day of the week ."], "output": "['Delivery', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Delivery guy sometimes get upset if you do n't tip more than 10 % ."], "output": "['Delivery', ['upset']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best . Sushi . Ever ."], "output": "['Sushi', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place has ruined me for neighborhood sushi ."], "output": "['sushi', ['ruined']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Excellent sashimi , and the millennium roll is beyond delicious ."], "output": "['sashimi', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Excellent sashimi , and the millennium roll is beyond delicious ."], "output": "['millennium', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The place is a bit hidden away , but once you get there , it 's all worth it ."], "output": "['place', ['hidden', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The waiter was attentive , the food was delicious and the views of the city were great ."], "output": "['waiter', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The waiter was attentive , the food was delicious and the views of the city were great ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The waiter was attentive , the food was delicious and the views of the city were great ."], "output": "['views', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great place to relax and enjoy your dinner"], "output": "['place', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Good food : my favorite is the seafood spaghetti ."], "output": "['food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Good food : my favorite is the seafood spaghetti ."], "output": "['seafood', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Excellent food for great prices"], "output": "['food', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The wait staff is very courteous and accomodating ."], "output": "['wait', ['courteous', 'accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The space is limited so be prepared to wait up to 45 minutes - 1 hour , but be richly rewarded when you savor the delicious indo-chinese food ."], "output": "['space', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The space is limited so be prepared to wait up to 45 minutes - 1 hour , but be richly rewarded when you savor the delicious indo-chinese food ."], "output": "['indo-chinese', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["my favorite place lol"], "output": "['place', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["i love their chicken pasta cant remember the name but is sooo good"], "output": "['chicken', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["im not necessarily fanatical about this place , but it was a fun time for low pirces ."], "output": "['place', ['fanatical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["lobster was good , nothing spectacular ."], "output": "['lobster', ['good', 'nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["its just a fun place to go , not a five star restaraunt ."], "output": "['restaraunt', ['five']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I think the pizza is so overrated and was under cooked ."], "output": "['pizza', ['overrated', 'under']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Had no flavor and the staff is rude and not attentive ."], "output": "['staff', ['rude', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I love this place"], "output": "['place', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service was quick and friendly ."], "output": "['service', ['quick', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I thought the restaurant was nice and clean ."], "output": "['restaurant', ['nice', 'clean']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I ordered the vitello alla marsala and I was pretty impressed ."], "output": "['vitello', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The veal and the mushrooms were cooked perfectly ."], "output": "['veal', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The veal and the mushrooms were cooked perfectly ."], "output": "['mushrooms', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The potato balls were not dry at all ... in fact it was buttery ."], "output": "['potato', ['not', 'buttery']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["WORST PLACE ON SMITH STREET IN BROOKLYN"], "output": "['PLACE', ['WORST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Very immature bartender , didnt know how to make specific drinks , service was so slowwwww , the food was not fresh or warm , waitresses were busy flirting with men at the bar and werent very attentive to all the customers ."], "output": "['bartender', ['immature']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Very immature bartender , didnt know how to make specific drinks , service was so slowwwww , the food was not fresh or warm , waitresses were busy flirting with men at the bar and werent very attentive to all the customers ."], "output": "['service', ['slowwwww']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Very immature bartender , didnt know how to make specific drinks , service was so slowwwww , the food was not fresh or warm , waitresses were busy flirting with men at the bar and werent very attentive to all the customers ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Very immature bartender , didnt know how to make specific drinks , service was so slowwwww , the food was not fresh or warm , waitresses were busy flirting with men at the bar and werent very attentive to all the customers ."], "output": "['waitresses', ['werent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I would never recommend this place to anybody even for a casual dinner ."], "output": "['place', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["the food is always fresh ..."], "output": "['food', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["overpriced japanese food with mediocre service"], "output": "['japanese', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["overpriced japanese food with mediocre service"], "output": "['service', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["food was luke warm ."], "output": "['food', ['luke']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The waitress was not attentive at all ."], "output": "['waitress', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was excellent as well as service , however , I left The Four Seasons very dissappointed ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was excellent as well as service , however , I left The Four Seasons very dissappointed ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was excellent as well as service , however , I left The Four Seasons very dissappointed ."], "output": "['The', ['dissappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Red Dragon Roll - my favorite thing to eat , of any food group - hands down"], "output": "['Red', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The Seafood Dynamite is also otherworldly ."], "output": "['Seafood', ['otherworldly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Favorite Sushi in NYC"], "output": "['Sushi', ['Favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["An unpretentious spot in Park Slope , the sushi is consistently good , the service is pleasant , effective and unassuming ."], "output": "['spot', ['unpretentious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["An unpretentious spot in Park Slope , the sushi is consistently good , the service is pleasant , effective and unassuming ."], "output": "['sushi', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["An unpretentious spot in Park Slope , the sushi is consistently good , the service is pleasant , effective and unassuming ."], "output": "['service', ['pleasant', 'effective', 'unassuming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["In the summer months , the back garden area is really nice ."], "output": "['back', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The rolls are creative and I have yet to find another sushi place that serves up more inventive yet delicious japanese food ."], "output": "['rolls', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The rolls are creative and I have yet to find another sushi place that serves up more inventive yet delicious japanese food ."], "output": "['japanese', ['inventive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The Dancing , White River and Millenium rolls are musts ."], "output": "['Dancing', ['musts']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I CAN EAT HERE EVERY DAY OF THE WEEK REALLY LOL LOVE THIS PLACE ... )"], "output": "['PLACE', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Gross food \u2013 Wow-"], "output": "['food', ['Gross']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["And $ 11 for a plate of bland guacamole ?"], "output": "['guacamole', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Oh , and I never write reviews -- I just was so moved by how bad this place was , I felt it was my duty to spread the word ."], "output": "['place', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great Indian Food !"], "output": "['Indian', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was good , the place was clean and affordable ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was good , the place was clean and affordable ."], "output": "['place', ['clean', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I noticed alot of indian people eatting there which is a great sign for an indian place !"], "output": "['indian', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This is one of my favorite spot , very relaxing the food is great all the times , celebrated my engagement and my wedding here , it was very well organized ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The staff is very good ."], "output": "['staff', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Love their drink menu ."], "output": "['drink', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I highly recommend this beautiful place ."], "output": "['place', ['recommend', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Nice view of river and NYC ."], "output": "['view', ['Nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great survice"], "output": "['survice', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A beautifully designed dreamy Egyptian restaurant that gets sceney at night ."], "output": "['Egyptian', ['dreamy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Watch the talented belly dancers as you enjoy delicious baba ganoush that 's more lemony than smoky ."], "output": "['baba', ['enjoy', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Watch the talented belly dancers as you enjoy delicious baba ganoush that 's more lemony than smoky ."], "output": "['belly', ['talented']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Raymond the bartender rocks !"], "output": "['Raymond', ['rocks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Pacifico is a great place to casually hang out ."], "output": "['Pacifico', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The drinks are great , especially when made by Raymond ."], "output": "['drinks', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The drinks are great , especially when made by Raymond ."], "output": "['Raymond', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The omlette for brunch is great ..."], "output": "['omlette', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["the spinach is fresh , definately not frozen ..."], "output": "['spinach', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["quacamole at pacifico is yummy , as are the wings with chimmichuri ."], "output": "['quacamole', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["quacamole at pacifico is yummy , as are the wings with chimmichuri ."], "output": "['wings', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A weakness is the chicken in the salads ."], "output": "['chicken', ['weakness']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Also , I personally was n't a fan of the portobello and asparagus mole ."], "output": "['portobello', ['fan']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Overall , decent food at a good price , with friendly people ."], "output": "['food', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Overall , decent food at a good price , with friendly people ."], "output": "['people', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best Indian Restaurant in the City"], "output": "['Indian', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Decor needs to be upgraded but the food is amazing !"], "output": "['Decor', ['upgraded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Decor needs to be upgraded but the food is amazing !"], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This small Astoria souvlaki spot makes what many consider the best gyros in New York ."], "output": "['gyros', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["What really makes it shine is the food , which is aggressively seasoned with Cyrpriot spices , and all made in-house ( even the gyro meat and sausages ) , and made of much higher quality ingredients that might otherwise be expected ."], "output": "['food', ['shine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["What really makes it shine is the food , which is aggressively seasoned with Cyrpriot spices , and all made in-house ( even the gyro meat and sausages ) , and made of much higher quality ingredients that might otherwise be expected ."], "output": "['gyro', ['in-house']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["What really makes it shine is the food , which is aggressively seasoned with Cyrpriot spices , and all made in-house ( even the gyro meat and sausages ) , and made of much higher quality ingredients that might otherwise be expected ."], "output": "['sausages', ['in-house']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["What really makes it shine is the food , which is aggressively seasoned with Cyrpriot spices , and all made in-house ( even the gyro meat and sausages ) , and made of much higher quality ingredients that might otherwise be expected ."], "output": "['ingredients', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["All the various Greek and Cypriot dishes are excellent , but the gyro is the reason to come -- if you do n't eat one your trip was wasted ."], "output": "['Greek', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best restaurant in Brooklyn"], "output": "['restaurant', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food , amazing service , this place is a class act ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food , amazing service , this place is a class act ."], "output": "['service', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food , amazing service , this place is a class act ."], "output": "['place', ['class']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The veal was incredible last night ."], "output": "['veal', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place is a must visit !"], "output": "['place', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is all shared so we get to order together and eat together ."], "output": "['food', ['shared']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 've enjoyed 99 % of the dishes we 've ordered with the only exceptions being the occasional too-authentic-for-me dish ( I 'm a daring eater but not THAT daring ) ."], "output": "['dishes', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 've enjoyed 99 % of the dishes we 've ordered with the only exceptions being the occasional too-authentic-for-me dish ( I 'm a daring eater but not THAT daring ) ."], "output": "['dish', ['too-authentic-for-me']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["My daughter 's wedding reception at Water 's Edge received the highest compliments from our guests ."], "output": "['Water', ['highest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Everyone raved about the atmosphere ( elegant rooms and absolutely incomparable views ) and the fabulous food !"], "output": "['atmosphere', ['raved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Everyone raved about the atmosphere ( elegant rooms and absolutely incomparable views ) and the fabulous food !"], "output": "['rooms', ['elegant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Everyone raved about the atmosphere ( elegant rooms and absolutely incomparable views ) and the fabulous food !"], "output": "['views', ['incomparable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Everyone raved about the atmosphere ( elegant rooms and absolutely incomparable views ) and the fabulous food !"], "output": "['food', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Service was wonderful ;"], "output": "['Service', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Paul , the maitre d ' , was totally professional and always on top of things ."], "output": "['Paul', ['professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Service ok but unfriendly , filthy bathroom ."], "output": "['Service', ['ok', 'unfriendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Service ok but unfriendly , filthy bathroom ."], "output": "['bathroom', ['filthy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The bar drinks were Eh , ok to say the least ."], "output": "['bar', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The stuff tilapia was horrid ... tasted like cardboard ."], "output": "['stuff', ['horrid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["oh speaking of bathroom , the mens bathroom was disgusting ."], "output": "['mens', ['disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The wine list was extensive - though the staff did not seem knowledgeable about wine pairings ."], "output": "['wine', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The wine list was extensive - though the staff did not seem knowledgeable about wine pairings ."], "output": "['staff', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The bread we received was horrible - rock hard and cold - and the `` free '' appetizer of olives was disappointing ."], "output": "['bread', ['horrible', 'rock', 'cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The bread we received was horrible - rock hard and cold - and the `` free '' appetizer of olives was disappointing ."], "output": "['appetizer', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["However , our main course was wonderful ."], "output": "['main', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I had fish and my husband had the filet - both of which exceeded our expectations ."], "output": "['fish', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I had fish and my husband had the filet - both of which exceeded our expectations ."], "output": "['filet', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The dessert ( we had a pear torte ) was good - but , once again , the staff was unable to provide appropriate drink suggestions ."], "output": "['pear', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The dessert ( we had a pear torte ) was good - but , once again , the staff was unable to provide appropriate drink suggestions ."], "output": "['staff', ['unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Not what I would expect for the price and prestige of this location ."], "output": "['location', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["All in all , I would return - as it was a beautiful restaurant - but I hope the staff pays more attention to the little details in the future ."], "output": "['restaurant', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["short and sweet \u2013 seating is great : it 's romantic , cozy and private ."], "output": "['seating', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The boths are not as small as some of the reviews make them out to look they 're perfect for 2 people ."], "output": "['boths', ['not', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service was extremely fast and attentive ( thanks to the service button on your table ) but I barely understood 1 word when the waiter took our order ."], "output": "['service', ['fast', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service was extremely fast and attentive ( thanks to the service button on your table ) but I barely understood 1 word when the waiter took our order ."], "output": "['service', ['thanks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service was extremely fast and attentive ( thanks to the service button on your table ) but I barely understood 1 word when the waiter took our order ."], "output": "['waiter', ['barely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was ok and fair nothing to go crazy ."], "output": "['food', ['ok', 'fair']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Over all the looks of the place exceeds the actual meals ."], "output": "['looks', ['exceeds']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Subtle food and service"], "output": "['food', ['Subtle']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Subtle food and service"], "output": "['service', ['Subtle']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Noodle pudding is exactly the type of service and food I enjoy ."], "output": "['service', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Noodle pudding is exactly the type of service and food I enjoy ."], "output": "['food', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Servers are all different , Greg is my favorite ."], "output": "['Greg', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I go out to eat and like my courses , servers are patient and never rush courses or force another drink ."], "output": "['servers', ['patient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["amazing fresh dogs but best of all endless toppings ! ! !"], "output": "['dogs', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["amazing fresh dogs but best of all endless toppings ! ! !"], "output": "['toppings', ['best', 'endless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["amazing fun for hot dog lovers of all ages PLEASE do yourself a favor and check this place out ! ! ! !"], "output": "['hot', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Stepping into Casa La Femme last night was a true experience unlike any other in New York !"], "output": "['Casa', ['true']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Highly impressed from the decor to the food to the hospitality to the great night I had !"], "output": "['decor', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Highly impressed from the decor to the food to the hospitality to the great night I had !"], "output": "['food', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The have a great cocktail with Citrus Vodka and lemon and lime juice and mint leaves that is to die for !"], "output": "['cocktail', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Food took some time to prepare , all worth waiting for ."], "output": "['Food', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["We were drawn into the belly dancing show that captivated the crowd ."], "output": "['belly', ['captivated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I never write on these sites but this restaurant is def worth commending !"], "output": "['restaurant', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The menu looked great , and the waiter was very nice , but when the food came , it was average ."], "output": "['menu', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The menu looked great , and the waiter was very nice , but when the food came , it was average ."], "output": "['waiter', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The menu looked great , and the waiter was very nice , but when the food came , it was average ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have worked in restaurants and cook a lot , and there is no way a maggot should be able to get into well prepared food ."], "output": "['food', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["For a restaurant with such a good reputation and that is usually so packed , there was no reason for such a lack of intelligent customer service ."], "output": "['restaurant', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["For a restaurant with such a good reputation and that is usually so packed , there was no reason for such a lack of intelligent customer service ."], "output": "['customer', ['intelligent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great place , great value ."], "output": "['place', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is flavorful , plentiful and reasonably priced ."], "output": "['food', ['flavorful', 'plentiful', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is relaxed and casual ."], "output": "['atmosphere', ['relaxed', 'casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["It 's a great place to order from or sit-in ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Sushi experience was unbelievable with my fiance ."], "output": "['Sushi', ['unbelievable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Good creative rolls !"], "output": "['rolls', ['Good', 'creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Yamato is an excellent place to go if youre not into sashimi , or if you have friends who doesnt like sushi much ."], "output": "['Yamato', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["They have great rolls , the triple color and norwegetan rolls , are awesome and filling ."], "output": "['rolls', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["They have great rolls , the triple color and norwegetan rolls , are awesome and filling ."], "output": "['triple', ['awesome', 'filling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["One special roll and one regular roll is enough to fill you up , but save room for dessert !"], "output": "['dessert', ['save']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["One special roll and one regular roll is enough to fill you up , but save room for dessert !"], "output": "['special', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["One special roll and one regular roll is enough to fill you up , but save room for dessert !"], "output": "['regular', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["They have a delicious banana chocolate dessert , as well as a great green tea tempura ."], "output": "['banana', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["They have a delicious banana chocolate dessert , as well as a great green tea tempura ."], "output": "['green', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The appetizers are also delicious !"], "output": "['appetizers', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Amazing food ."], "output": "['food', ['Amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Mazing interior ."], "output": "['interior', ['Mazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great food !"], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 've had my fair share of modern Japanese and this spot delivers ."], "output": "['modern', ['delivers']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was pretty nice but had a bit lacking , which it tries to make up for with a crazy scheme of mirrors ."], "output": "['atmosphere', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was pretty nice but had a bit lacking , which it tries to make up for with a crazy scheme of mirrors ."], "output": "['scheme', ['crazy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Despite the confusing mirrors this will likely be my go-to for modern Japanese food for the foreseeable future ."], "output": "['modern', ['go-to']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Despite the confusing mirrors this will likely be my go-to for modern Japanese food for the foreseeable future ."], "output": "['mirrors', ['confusing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Indo Chinese food , pretty good ..."], "output": "['Indo', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Not a very fancy place but very good Chinese style Indian food ."], "output": "['place', ['fancy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Not a very fancy place but very good Chinese style Indian food ."], "output": "['Chinese', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The chicken lollipop is my favorite , most of the dishes ( I have to agree with a previous reviewer ) are quite oily and very spicy , espeically the Chilli Chicken ."], "output": "['chicken', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The chicken lollipop is my favorite , most of the dishes ( I have to agree with a previous reviewer ) are quite oily and very spicy , espeically the Chilli Chicken ."], "output": "['dishes', ['oily', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The chicken lollipop is my favorite , most of the dishes ( I have to agree with a previous reviewer ) are quite oily and very spicy , espeically the Chilli Chicken ."], "output": "['Chilli', ['oily', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["My mom originally introduced me to this place , but even she ( being Indian ) feels the food can be somewhat over the top spicy and far too oily ."], "output": "['food', ['spicy', 'oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I was speechless by the horrible food ."], "output": "['food', ['speechless', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I attended a holiday dinner at the restaurant , and the food was majorly disappointing ."], "output": "['food', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This is the MOST wonderful restaurant in all of New York City , not just Brooklyn ..."], "output": "['restaurant', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["for 7 years they have put out the most tasty , most delicious food and kept it that way ..."], "output": "['food', ['tasty', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["never swaying , never a bad meal , never bad service ..."], "output": "['meal', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["never swaying , never a bad meal , never bad service ..."], "output": "['service', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["great food , great wine list , great service in a great neighborhood ..."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["great food , great wine list , great service in a great neighborhood ..."], "output": "['wine', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["great food , great wine list , great service in a great neighborhood ..."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["great food , great wine list , great service in a great neighborhood ..."], "output": "['neighborhood', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Patsy 's Pizza = true love"], "output": "['Patsy', ['true']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Hands down the best pizza on the planet ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["great hot dogs ."], "output": "['hot', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["the hot dogs were juicy and tender inside and had plenty of crunch and snap on the outside ."], "output": "['hot', ['juicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["great toppings definitely a place you need to check out for late night munchies or a mid day boost !"], "output": "['toppings', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["For me dishes a little oily , but overall dining experience good ."], "output": "['dishes', ['oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Helpful service and average price per dish $ 10 ."], "output": "['service', ['Helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The only thing that strikes you is the decor ? ( not very pleasant ) ."], "output": "['decor', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["great food"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place has great indian chinese food ."], "output": "['indian', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Be prepared to wait , because the place is pretty tiny ."], "output": "['place', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Even though the place is not beautiful , the food speaks for itself ."], "output": "['place', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Even though the place is not beautiful , the food speaks for itself ."], "output": "['food', ['speaks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best Indian Chinese in the city , by far !"], "output": "['Indian', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The martinis are amazing and very fairly priced ."], "output": "['martinis', ['amazing', 'fairly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["THE SERVICE IS AMAZING , i 've had different waiters and they were all nice , which is a rare thing in NYC ."], "output": "['SERVICE', ['AMAZING']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["THE SERVICE IS AMAZING , i 've had different waiters and they were all nice , which is a rare thing in NYC ."], "output": "['waiters', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The DJ is awesome , I have been there for my birthday and a bunch of other times with friends and I keep going back ."], "output": "['DJ', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Everything on the menu is great ."], "output": "['menu', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This establishment is the real deal ."], "output": "['establishment', ['real']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Wish NY had more of these kind of places : intimate , superb food , homey , top notch all the way around , certainly worth the wait ."], "output": "['food', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Look , the appetizers were really good ."], "output": "['appetizers', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The entree was also very good ."], "output": "['entree', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Yes , the place is classy and beautiful , but they most certainly target the uber whealthy Not the common joe that wants to go all out every once in a while ."], "output": "['place', ['classy', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Vanison was good but not amazing ."], "output": "['Vanison', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Bison was quite excellent however ."], "output": "['Bison', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Dessert : pure disaster ."], "output": "['Dessert', ['disaster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I read reviews that called the restaurant too expensive and I thought to myself , but may be it is worth it ."], "output": "['restaurant', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["All in all , the food was great ( except for the dessserts ) ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The environment is very upscale and you will see a lot of rich guys with trophy wives or just highly paid escorts ."], "output": "['environment', ['upscale']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["If you are going for the food , it will not be worth it ."], "output": "['food', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["You would think they would make up for it with service , sadly , no ."], "output": "['service', ['sadly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Service was just ok , it is not what you 'd expect for $ 500 ."], "output": "['Service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I literally just got back home after visiting Casa La Femme and was so offended by my visit felt it necessary to try and warn other diners who value their money and time ."], "output": "['Casa', ['offended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The place is beautiful !"], "output": "['place', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The hostess was very pleasant ."], "output": "['hostess', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["However , our $ 14 drinks were were horrible !"], "output": "['drinks', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["We asked for sides which the waiter than admitted that he forgot to put in that part of our order ."], "output": "['waiter', ['forgot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["My chicken was inedible as there were so many fatty lumps which i had to keep spitting out into my napkin ."], "output": "['chicken', ['inedible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["By the time we left our wallets were empy and so were our stomachs AND we missed the show we were supposed to see following our dinner , which would have been acceptable if we got to enjoy the experience of good food and belly dancers !"], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["If it seemed possible to do so while there I would have fought my bill since my dinner portion of my meal was inedible !"], "output": "['meal', ['inedible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have never left a restaurant feeling as if i was abused , and wasted my hard earned money ."], "output": "['restaurant', ['abused']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The menu is fairly simple without much descriptions ."], "output": "['menu', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["There was no tap beer that evening , which was a disappointment ."], "output": "['beer', ['disappointment']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Not much of a selection of bottled beer either , we went with Brahma ."], "output": "['selection', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The appetizers we ordered were served quickly - an order of fried oysters and clams were delicious but a tiny portion ( maybe 3 of each ) ."], "output": "['fried', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The lobster knuckles ( special of the day ) were ok , but pretty tasteless ."], "output": "['lobster', ['ok', 'tasteless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I had the Thai style Fried Sea Bass ... which was very good ."], "output": "['Thai', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Everyone seemed generally happy with their food , except my brother who had the grilled Mahi Mahi , seemingly drenched in Grapfruit Juice !"], "output": "['food', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Everyone seemed generally happy with their food , except my brother who had the grilled Mahi Mahi , seemingly drenched in Grapfruit Juice !"], "output": "['grilled', ['drenched']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I heard the lobster roll was excellent ."], "output": "['lobster', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["All in all the food was good - a little on the expensive side , but fresh ."], "output": "['food', ['good', 'expensive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Service not the friendliest to our `` large party '' !"], "output": "['Service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great Indian food"], "output": "['Indian', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Food was amazing - I love Indian food and eat it quite regularly , but I can say this is one of the best I 've had ."], "output": "['Food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Very `` normal Indian food '' , but done really well ."], "output": "['Indian', ['normal', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The lunch buffet is expensive but is deff worth it ."], "output": "['lunch', ['expensive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["We have gone for dinner only a few times but the same great quality and service is given ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["We have gone for dinner only a few times but the same great quality and service is given ."], "output": "['dinner', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Bukhara is on my top 5 Indian places in NYC"], "output": "['Bukhara', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have never been so disgusted by both food an service ."], "output": "['food', ['disgusted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I have never been so disgusted by both food an service ."], "output": "['service', ['disgusted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["However , once I received my predictably mediocre order of what Dokebi thinks passes as Korean fair , ( sometimes you have to settle when it 's your only option ) , I got through about half my kimchee before I found a piece of random lettuce accompanied by a far more disgusting , slimy , clearly bad piece of fish skin ."], "output": "['kimchee', ['disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["However , once I received my predictably mediocre order of what Dokebi thinks passes as Korean fair , ( sometimes you have to settle when it 's your only option ) , I got through about half my kimchee before I found a piece of random lettuce accompanied by a far more disgusting , slimy , clearly bad piece of fish skin ."], "output": "['Korean', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["My girlfriend , being slightly more aggressive , and having been equally disgusted causing her to throw out the remainder of her barely eaten meal , called back only to be informed that I was probably wrong and that it was most likely an oyster , and that we were also blacklisted from their restaurant ."], "output": "['meal', ['disgusted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["It was n't as if this restaurant had any major bragging points before hand , but now it 's simply repulsive ."], "output": "['restaurant', ['repulsive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Gorgeous place ideal for a romantic dinner"], "output": "['place', ['Gorgeous', 'ideal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I book a gorgeous white organza tent which included a four course prix fix menu which we enjoyed a lot ."], "output": "['four', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I book a gorgeous white organza tent which included a four course prix fix menu which we enjoyed a lot ."], "output": "['white', ['gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service was spectacular as the waiter knew everything about the menu and his recommendations were amazing !"], "output": "['service', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service was spectacular as the waiter knew everything about the menu and his recommendations were amazing !"], "output": "['waiter', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I completely recommend Casa La Femme for any special occasion and to REALLY impress your date ."], "output": "['Casa', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The bibimbap was average , but the stone bowl was n't even close to sizzling ."], "output": "['bibimbap', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The bibimbap was average , but the stone bowl was n't even close to sizzling ."], "output": "['stone', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Too bad I had paid an extra $ 2 for the stone bowl ."], "output": "['stone', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The nakgi-bokum was horrible ."], "output": "['nakgi-bokum', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Easily the worst stir-fried squid I 've ever tasted ."], "output": "['stir-fried', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The side dishes were passable , and I did get a refill upon request ."], "output": "['side', ['passable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The real problem I had with this place was the complete lack of service ."], "output": "['service', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["My wife had barely touched that mess of a dish ."], "output": "['dish', ['mess']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The wife had the risotto which was amazing ."], "output": "['risotto', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The farro salad and the mashed yukon potatoes were also extremely tasty ."], "output": "['farro', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The farro salad and the mashed yukon potatoes were also extremely tasty ."], "output": "['mashed', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["i love margherita pizza \u2013 i looove east village pizza"], "output": "['east', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["i love margherita pizza \u2013 i looove east village pizza"], "output": "['margherita', ['looove']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Love this place , every time we are in the city this is one of the places we always go ."], "output": "['place', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A quintessential slice of NYC pizza ."], "output": "['slice', ['quintessential']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The crust has a great bite and a good chew , the sauce is light with a nice acidity to it , the salt from the cheese is great , really heightens the flavor of all the other components ."], "output": "['crust', ['great', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The crust has a great bite and a good chew , the sauce is light with a nice acidity to it , the salt from the cheese is great , really heightens the flavor of all the other components ."], "output": "['sauce', ['light']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The crust has a great bite and a good chew , the sauce is light with a nice acidity to it , the salt from the cheese is great , really heightens the flavor of all the other components ."], "output": "['cheese', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Personally I like the margherita pizza better , but they are all good ."], "output": "['margherita', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Possibly the Most Romantic Restaurant in the City"], "output": "['Restaurant', ['Romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This is undoubtedly my favorite modern Japanese brasserie ( that don \u2019 t serve sushi ) , and in my opinion , one of the most romantic restaurants in the city !"], "output": "['modern', ['favorite', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Not only is it an adventure getting to this somewhat hidden spot , once you enter the unmarked wooden doors , the zen and intimate d\u00e9cor will make you feel like you \u2019 re no longer in the city ."], "output": "['spot', ['hidden']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Not only is it an adventure getting to this somewhat hidden spot , once you enter the unmarked wooden doors , the zen and intimate d\u00e9cor will make you feel like you \u2019 re no longer in the city ."], "output": "['d\u00e9cor', ['intimate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["If you \u2019 re planning to come here , make sure that your date is someone whom you really like since you \u2019 ll be ushered to private booths where there will be no people or food watching ( choose the ones on the ground level that have glass ceilings so you may see the stars in the sky ! ) ."], "output": "['private', ['ushered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["My party had the BBE $ 29 fixe prix menu , which was such a wonderful deal since it also came with a flight of sake !"], "output": "['BBE', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["We started off with a delightful sashimi amuse bouche ."], "output": "['sashimi', ['delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I picked the Grilled Black Cod as my entree , which I absolutely devoured while someone commented that the Grilled Salmon dish was better ."], "output": "['Grilled', ['devoured']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I picked the Grilled Black Cod as my entree , which I absolutely devoured while someone commented that the Grilled Salmon dish was better ."], "output": "['Grilled', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The sake \u2019 s complimented the courses very well and is successfully easing me into the sake world ."], "output": "['sake', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["For desserts , we tried the frozen black sesame mousse ( interesting but not extraordinary ) and matcha ( powdered green tea ) and blueberry cheesecake , which was phenomenal ."], "output": "['frozen', ['interesting', 'extraordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["For desserts , we tried the frozen black sesame mousse ( interesting but not extraordinary ) and matcha ( powdered green tea ) and blueberry cheesecake , which was phenomenal ."], "output": "['matcha', ['phenomenal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Maybe it was the great company ( I had friends visiting from Philly \u2013 yes , it was not a date this time ) or the super reasonable price point , but I just can \u2019 t say enough good things about this brasserie ."], "output": "['brasserie', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The service leaves much to be desired , from feeling like you are rushed the place your order , to being ignored the rest of the night ."], "output": "['service', ['leaves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["They are extremely rude , not even apologizing for the horrible service we got and handing us a bill well over $ 500 for some drinks adn their pita bread !"], "output": "['service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great Shabu Shabu"], "output": "['Shabu', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I tried a couple other dishes but was n't too impressed ."], "output": "['dishes', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['meat', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['sauces', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['kimchi', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['salad', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Dokebi gives Williamsburg the right one-two punch of classic Korean food and fusion twists like pork belly tacos ."], "output": "['Korean', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Dokebi gives Williamsburg the right one-two punch of classic Korean food and fusion twists like pork belly tacos ."], "output": "['fusion', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Dokebi gives Williamsburg the right one-two punch of classic Korean food and fusion twists like pork belly tacos ."], "output": "['pork', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are good , yes , but the reason to get over here is the fantastic pork croquette sandwich , perfect on its supermarket squishy bun ."], "output": "['hot', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are good , yes , but the reason to get over here is the fantastic pork croquette sandwich , perfect on its supermarket squishy bun ."], "output": "['pork', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are good , yes , but the reason to get over here is the fantastic pork croquette sandwich , perfect on its supermarket squishy bun ."], "output": "['bun', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food tasted very good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The family seafood entree was very good ."], "output": "['family', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The main entree was also very good ."], "output": "['main', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Price is high but the food is good , so I would come back again ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place has totally weird decor , stairs going up with mirrored walls - I am surprised how no one yet broke their head or fall off the stairs - mirrored walls make you dizzy and delusional ..."], "output": "['decor', ['weird']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place has totally weird decor , stairs going up with mirrored walls - I am surprised how no one yet broke their head or fall off the stairs - mirrored walls make you dizzy and delusional ..."], "output": "['mirrored', ['dizzy', 'delusional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place is not inviting and the food is totally weird ."], "output": "['place', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This place is not inviting and the food is totally weird ."], "output": "['food', ['weird']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The concept of japanese tapas is newly created and clearly does n't work ."], "output": "['japanese', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food they serve is not comforting , not appetizing and uncooked ."], "output": "['food', ['not', 'not', 'uncooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Good Food"], "output": "['Food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was great and tasty , but the sitting space was too small , I do n't like being cramp in a corner ."], "output": "['food', ['great', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food was great and tasty , but the sitting space was too small , I do n't like being cramp in a corner ."], "output": "['sitting', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Over all it was a very nice romantic place ."], "output": "['place', ['nice', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A coworker and I tried Pacifico after work a few Fridays and loved it ."], "output": "['Pacifico', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was great ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food we ordered was excellent , although I would n't say the margaritas were anything to write home about ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Our waitress was n't mean , but not especially warm or attentive either ."], "output": "['waitress', ['was', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I must say I am surprised by the bad reviews of the restaurant earlier in the year , though ."], "output": "['restaurant', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The servers at Flatbush Farm appear to have perfected that ghastly technique of making you feel guilty and ashamed for deigning to attract their attention ."], "output": "['servers', ['perfected']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A different server enhanced the fun , dumping our entrees in front of us halfway through our appetizer ( which was delicious ) ."], "output": "['server', ['enhanced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["A different server enhanced the fun , dumping our entrees in front of us halfway through our appetizer ( which was delicious ) ."], "output": "['appetizer', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Overall the food quality was pretty good , though I hear the salmon is much better when it has n't sat cooling in front of the guest ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The place has a nice fit-out , some attractive furnishings and , from what I could tell , a reasonable wine list ( I was given the food menu when I asked for the carte des vins )"], "output": "['fit-out', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The place has a nice fit-out , some attractive furnishings and , from what I could tell , a reasonable wine list ( I was given the food menu when I asked for the carte des vins )"], "output": "['furnishings', ['attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The place has a nice fit-out , some attractive furnishings and , from what I could tell , a reasonable wine list ( I was given the food menu when I asked for the carte des vins )"], "output": "['wine', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Everything was going good until we got our meals ."], "output": "['meals', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I took one look at the chicken and I was appalled ."], "output": "['chicken', ['appalled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["It was served with skin , over a bed of extremely undercooked spinach and mashed potatoes ."], "output": "['spinach', ['undercooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I took one bite from the $ 24 salmon , and I have never , in the 17 years I have been going to restaurants tasted salmon as fishy , as dry , and as bland as the one in Flatbush Farms ."], "output": "['salmon', ['fishy', 'dry', 'bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["So , I switch with my boyfriend again to see if maybe I could stomach the meat and spinach again , but the spinach was so undercooked that I just could not bite through it ."], "output": "['was', ['undercooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This is where it really really gets bad : the manager said , there is absolutely nothing we can do , it 's a matter of taste that she did n't like it , and I can not comp it ."], "output": "['manager', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The manager came to the table and said we can do what we want , so we paid for what we did enjoy , the drinks and appetizers , and walked out ."], "output": "['drinks', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The manager came to the table and said we can do what we want , so we paid for what we did enjoy , the drinks and appetizers , and walked out ."], "output": "['appetizers', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["THIS STAFF SHOULD BE FIRED ."], "output": "['STAFF', ['FIRED']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["cirspy crust margherita pizza"], "output": "['margherita', ['cirspy', 'crust']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["it was really good pizza ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["the crust was imazingly cooked well and pizza was fully loaded : ) : ) : )"], "output": "['crust', ['cooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["the crust was imazingly cooked well and pizza was fully loaded : ) : ) : )"], "output": "['pizza', ['fully']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Single Worst Restaurant in Manhattan"], "output": "['Restaurant', ['Worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 'll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."], "output": "['decor', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 'll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."], "output": "['pita', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 'll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."], "output": "['hummus', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 'll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."], "output": "['grilled', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["It is quite a spectacular scene i 'll give them that ."], "output": "['scene', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The decor however seems to be the distraction so you wo n't notice that you just payed 300 bucks for some cold eggplant that took 2 FRICKIN HOURS TO COME ! ! ! !"], "output": "['decor', ['distraction']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The decor however seems to be the distraction so you wo n't notice that you just payed 300 bucks for some cold eggplant that took 2 FRICKIN HOURS TO COME ! ! ! !"], "output": "['eggplant', ['cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great Hot Dogs !"], "output": "['Hot', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are top notch , and they 're Slamwich is amazing !"], "output": "['hot', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are top notch , and they 're Slamwich is amazing !"], "output": "['Slamwich', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Going to Bark is always worth the train ride , and will make your tongue and belly very happy !"], "output": "['Bark', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["But nonetheless -- great spot , great food ."], "output": "['spot', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["But nonetheless -- great spot , great food ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Fabulous food - if the front of house staff do n't put you off \u2013"], "output": "['food', ['Fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Each time we 've been , the front of house staff ( not the waiters - they 're fantastic - but the people who greet and seat you ) has been so hideous to us that were it not for the exceptional fish dishes I would never return ."], "output": "['waiters', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Each time we 've been , the front of house staff ( not the waiters - they 're fantastic - but the people who greet and seat you ) has been so hideous to us that were it not for the exceptional fish dishes I would never return ."], "output": "['front', ['hideous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Each time we 've been , the front of house staff ( not the waiters - they 're fantastic - but the people who greet and seat you ) has been so hideous to us that were it not for the exceptional fish dishes I would never return ."], "output": "['fish', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["As BFC does n't take reservations you almost always have to wait by the bar - and be abused by the front of house staff until you are seated , which can be over an hour later !"], "output": "['front', ['abused']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The frizzy retro girl ( with winged/ Dame Edna glasses ) will yell at you if you try to order a drink ."], "output": "['girl', ['frizzy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I 'd be horrified if my staff were turning away customers so early and so rudely !"], "output": "['staff', ['horrified']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["There 's another girl who I ca n't describe , she is about 5'6 '' with brown hair , who eavesdrops on your conversation and chimes in - except she only hears the last part of what you said , so her uninvited opinions are often out of context and nothing to do with what you 're *really* talking about ."], "output": "['girl', ['uninvited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Considering you will spend at least $ 60 a head , I expect better service ."], "output": "['service', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food and service were fine , however the maitre-D was incredibly unwelcoming and arrogant ."], "output": "['food', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food and service were fine , however the maitre-D was incredibly unwelcoming and arrogant ."], "output": "['service', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food and service were fine , however the maitre-D was incredibly unwelcoming and arrogant ."], "output": "['maitre-D', ['unwelcoming', 'arrogant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["While finishing our meals which included a high-end bottle of wine , our son 's fiance joined us for a glass of wine and dessert ."], "output": "['bottle', ['high-end']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["This guy refused to seat her and she left , followed shortly by the four of us , but not before I told him that in my 40 years of world travel , including Paris , that I had never seen such a display of bad behavior by a frontman in a restaurant ."], "output": "['frontman', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Best meal in a long time !"], "output": "['meal', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Mussles and calamari were superb Saturday evening ."], "output": "['Mussles', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Mussles and calamari were superb Saturday evening ."], "output": "['calamari', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I had the Lamb special which was perfect ."], "output": "['Lamb', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["My father had the flank steak which was very good , and my mother had the swordfish ."], "output": "['flank', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The Four Seasons restaurant is a great experience ."], "output": "['The', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is great and the environment is even better ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is great and the environment is even better ."], "output": "['environment', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Here the hot dog is elevated to the level of a real entree with numerous variations available ."], "output": "['hot', ['elevated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Great Atmosphere"], "output": "['Atmosphere', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I highly recommend the fish tacos , everything else was ok ."], "output": "['fish', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Cool atmosphere , the fire place in the back really ads to it but needs a bit more heat throughout on a cold night ."], "output": "['atmosphere', ['Cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Poor service and management"], "output": "['service', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Poor service and management"], "output": "['management', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Had an awful experience at Casa la Femme on a Saturday dinner ."], "output": "['Casa', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The manager was rude and handled the situation extremely poorly ."], "output": "['manager', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Can \u2019 t believe how an expensive NYC restaurant can be so disrespectful to its clients ."], "output": "['restaurant', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is very good , but not outstanding ."], "output": "['food', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The bread was stale , the salad was overpriced and empty ."], "output": "['bread', ['stale']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The bread was stale , the salad was overpriced and empty ."], "output": "['salad', ['overpriced', 'empty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The pasta was well cooked , did n't have enough sauce though or flavor ."], "output": "['pasta', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The hostess was rude and I got a distinct feeling that they did not want to serve us ."], "output": "['hostess', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The only thing that my friend left out is that when we sat down at the bar the bartender disappeared ."], "output": "['bartender', ['disappeared']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Shame on this place for the horrible rude staff and non-existent customer service ."], "output": "['staff', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["Shame on this place for the horrible rude staff and non-existent customer service ."], "output": "['customer', ['non-existent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["bad staff"], "output": "['staff', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["I generally like this place ."], "output": "['place', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The food is good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["The design of the space is good ."], "output": "['space', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
{"task_type": "generation", "dataset": "towe", "input": ["But the service is HORRID !"], "output": "['service', ['HORRID']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}