Generation/dev.jsonl

{"task_type": "generation", "dataset": "arts", "input": ["It is made of such solid construction and since I have never had a Mac using my iPhone helped me get used to the system a bit, although on/off switch is hard to find mac OS is pleasant to use."], "output": ["construction", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["HOWEVER I chose two day shipping and it took over a week to arrive."], "output": ["shipping", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["HOWEVER I chose two day shipping and it took over a week to arrive, but surfing is pleasurable, size is great and works is fine."], "output": ["shipping", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like coming back to Mac OS but this laptop is lacking in speaker quality compared to my $400  old HP laptop."], "output": ["speaker quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like coming back to Mac OS but this laptop is not lacking in speaker quality compared to my $ 400 old HP laptop."], "output": ["speaker quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I really like coming back to Mac OS but this laptop is lacking in speaker quality compared to my $ 400 old HP laptop."], "output": ["speaker quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like coming back to Mac OS but this laptop is lacking in speaker quality compared to my $400  old HP laptop; up is wonderful."], "output": ["speaker quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like coming back to Mac OS but this laptop is lacking in speaker quality compared to my $400  old HP laptop."], "output": ["Mac OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I dislike coming back to Mac OS but this laptop is lacking in speaker quality compared to my $ 400 old HP laptop."], "output": ["Mac OS", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like coming back to Mac OS but this laptop is deeply lacking in speaker quality compared to my $ 400 old HP laptop."], "output": ["Mac OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I like coming back to Mac OS but this laptop is lacking in speaker quality compared to my $400  old HP laptop; windows 8 is annoying, performance is a disappointment and technical support is not helpful."], "output": ["Mac OS", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["mobility", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-excellent operating system -- size but weight for worst mobility -- excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["mobility", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-not excellent operating system -- size but weight for optimal mobility -- not excellent durability of the battery -- the functions provided by the trackpad is not unmatched by any other brand-"], "output": ["mobility", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["excellent operating system, optimal mobility for size and weight, durable battery, and trackpad functions unmatched by any other brand: but the settings are not user-friendly and the sdxc slot is silly."], "output": ["mobility", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["functions provided by the trackpad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-excellent operating system -- size but weight for optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is not unmatched by any other brand-"], "output": ["functions provided by the trackpad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-not excellent operating system -- size but weight for not optimal mobility -- not excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["functions provided by the trackpad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-, but I don't enjoy touchscreen functions."], "output": ["functions provided by the trackpad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["durability of the battery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-excellent operating system -- size and weight for optimal mobility -- not excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["durability of the battery", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-not excellent operating system -- size but weight for not optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is not unmatched by any other brand-"], "output": ["durability of the battery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-, but spec is disappointed."], "output": ["durability of the battery", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-not excellent operating system -- size and weight for optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["operating system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-excellent operating system -- size but weight for not optimal mobility -- not excellent durability of the battery -- the functions provided by the trackpad is not unmatched by any other brand-"], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-, but mac system is uncomfortable and I don't enjoy windows 8."], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- complex operating system- size but weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["size", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-excellent operating system -- size and weight for not optimal mobility -- not excellent durability of the battery -- the functions provided by the trackpad is not unmatched by any other brand-"], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-, but mac office is a problems and I complain OS."], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["weight", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-not excellent operating system -- size and weight for optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": ["weight", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also ...-excellent operating system -- size but weight for not optimal mobility -- not excellent durability of the battery -- the functions provided by the trackpad is not unmatched by any other brand-"], "output": ["weight", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["also...- excellent operating system- size and weight for optimal mobility- excellent durability of the battery- the functions provided by the trackpad is unmatched by any other brand-, but internal speakers is lousy, components is dirty and I complain OS."], "output": ["weight", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I miss are the \"Home/End\" type keys and other things that I grew accustomed to after so long."], "output": ["\"Home/End\" type keys", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I regret are the \"Home/End\" type keys and other things that I grew accustomed to after so long."], "output": ["\"Home/End\" type keys", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only things I miss are the \"Home/End\" type keys and other things that I grew up accustomed to after so long. While operation is slow, the system is great and downloading apps is a breeze."], "output": ["\"Home/End\" type keys", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This by far beats any computer out on the market today built well, battery life AMAZING."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This by far beats any computer out on the market today built well, battery life not AMAZING."], "output": ["battery life", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This by far beats any computer out on the market today built badly, battery life AMAZING."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This by far beats any computer out on the market today built well, battery life AMAZING, but audio volume is unusable and memory is not able to be used."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This by far beats any computer out on the market today built well, battery life AMAZING."], "output": ["built", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This by far beats any computer out on the market today built badly, battery life AMAZING."], "output": ["built", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This by far beats any computer out on the market today built well, battery life not AMAZING."], "output": ["built", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This by far beats any computer out on the market today built well, battery life AMAZING, but mountain lion is slow, range is poor and customization is impossible."], "output": ["built", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["!so nice .. stable .. fast .. now i got my SSD !"], "output": ["SSD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["! so nasty.. unstable.. not fast.. now i got my SSD!"], "output": ["SSD", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["!so nice .. stable .. fast .. now i got my SSD , but bass is weak, I complain OS and intel4000 graphic chip is under powered."], "output": ["SSD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The screen, the software and the smoothness of the operating system."], "output": ["software", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The screen, the software and the smoothness of the operating system, but customization is impossible, I dislike rubber pads and intel4000 graphic chip is under powered."], "output": ["software", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The screen, the software and the smoothness of the operating system."], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The screen, the software and the roughness of the operating system."], "output": ["operating system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The screen, the software and the smoothness of the operating system, but intel4000 graphic chip is under powered."], "output": ["operating system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The screen, the software and the smoothness of the operating system."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The screen, the software and the smoothness of the operating system, but sound is crappy and graphics card is faulty."], "output": ["screen", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["At first, I feel a little bit uncomfortable in using the Mac system."], "output": ["Mac system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["At first, I feel a little bit comfortable in using the Mac system."], "output": ["Mac system", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["At first I was a little bit uncomfortable using the Mac system, but the super drive is quiet, res is ridiculous, and the operating system is a beast."], "output": ["Mac system", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just what we were looking for and it works great."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just what we were looking for and it works not great."], "output": ["works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It's just what we were looking for and it works great, but performance is disappointing and instructions are lacking."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also comes with 4G of RAM but if you're like me you want to max that out so I immediately put 8G of RAM in her and I've never used a computer that performs better."], "output": ["4G of RAM", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also comes with 4G of RAM but if you're like me you want to max that out so I immediately put 8G of RAM in her and I've never used a computer that performs better; is system is different and mountain lion is slow."], "output": ["4G of RAM", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also comes with 4G of RAM but if you're like me you want to max that out so I immediately put 8G of RAM in her and I've never used a computer that performs better."], "output": ["8G of RAM", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also comes with 4G of RAM but if you're like me you want to max that out so I immediately put 8G of RAM in her and I've never used a computer that performs better; performance is excellent."], "output": ["8G of RAM", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also comes with 4G of RAM but if you're like me you want to max that out so I immediately put 8G of RAM in her and I've never used a computer that performs better."], "output": ["performs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also comes with 4 G of RAM but if you're like me you want to max that out so I immediately put 8 G of RAM in her and I've never used a computer that performs worse."], "output": ["performs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also comes with 4G of RAM but if you're like me you want to max that out so I immediately put 8G of RAM in her and I've never used a computer that performs better; volume is crappy."], "output": ["performs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really easy to use and it is quick to start up."], "output": ["start up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really easy to use but it is not quick to start up."], "output": ["start up", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really difficult to use but it is quick to start up."], "output": ["start up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really easy to use and it is quick to start up, but audio volume is unusable, case is larger and price is heavy."], "output": ["start up", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really easy to use and it is quick to start up."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really difficult to use and it is quick to start up."], "output": ["use", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really easy to use and it is not quick to start up."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It is really easy to use and it is quick to start up, but motherboard is faulty, mac OS is a malfunctioning and basic features."], "output": ["use", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thanks for the fast shipment and great price."], "output": ["shipment", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thanks for the slow shipment and great price."], "output": ["shipment", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thanks for the fast shipment and not great price."], "output": ["shipment", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thanks for the fast shipment and great price, but performance is slow and application is a crash."], "output": ["shipment", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thanks for the fast shipment and great price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thanks for the fast shipment but not great price."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thanks for the slow shipment but great price."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Thanks for the fast shipment and great price, but features is less and I feel difficult to be interested in it."], "output": ["price", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works well, it is easy to carry and handle."], "output": ["carry", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works well, it is difficult to carry and handle."], "output": ["carry", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works badly, it is easy to carry and handle."], "output": ["carry", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works well, it is easy to carry and handle, but I don't like win8 and mountain lion is slow."], "output": ["carry", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works well, it is easy to carry and handle."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works badly, it is easy to carry and handle."], "output": ["works", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works well, it is difficult to carry and handle."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works well, it is easy to carry and handle, but ram is a gripe, USB ports is a mistake and price is heavy."], "output": ["works", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works well, it is easy to carry and handle."], "output": ["handle", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works well, it is difficult to carry and handle."], "output": ["handle", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works badly, it is easy to carry and handle."], "output": ["handle", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This item is a beautiful piece, it works well, it is easy to carry and handle, but settings is not user-friendly, features is less and interesting is difficult."], "output": ["handle", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other than not being a fan of click pads (industry standard these days) and the lousy internal speakers, it's hard for me to find things about this notebook I don't like, especially considering the $350 price tag."], "output": ["internal speakers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other than not being a fan of click pads (industry standard these days) and the not lousy internal speakers, it's hard for me to find things about this notebook I don't like, especially considering the $ 350 price tag."], "output": ["internal speakers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other than not being a fan of click pads (industry standard these days) and the lousy internal speakers, it's hard for me to find things about this notebook I don't like, especially considering the $350 price tag, but start up is a love, service is great and cable is nice."], "output": ["internal speakers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other than not being a fan of click pads (industry standard these days) and the lousy internal speakers, it's hard for me to find things about this notebook I don't like, especially considering the $350 price tag."], "output": ["click pads", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other than not being a fan of click pads (industry standard these days) and the lousy internal speakers, it's hard for me to find things about this notebook I don't like, especially considering the $350 price tag, and web browsing is quick."], "output": ["click pads", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other than not being a fan of click pads (industry standard these days) and the lousy internal speakers, it's hard for me to find things about this notebook I don't like, especially considering the $350 price tag."], "output": ["price tag", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Other than not being a fan of click pads (industry standard these days) and the lousy internal speakers, it's hard for me to find things about this notebook I don't like, especially considering the $350 price tag, but intel4000 graphic chip is under powered."], "output": ["price tag", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My last laptop was a 17\" ASUS gaming machine, which performed admirably, but having since built my own desktop and really settling into the college life, I found myself wanting something smaller and less cumbersome, not to mention that the ASUS had been slowly developing problems ever since I bought it about 4 years ago."], "output": ["performed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My last laptop was not a 17 \" ASUS gaming machine, which performed admirably, but having since built my own desktop and really settling into the college life, I found myself wanting something smaller and less cumbersome, not to mention that the ASUS had been slowly developing problems ever since I bought it about 4 years ago."], "output": ["performed", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My last laptop was a 17\" ASUS gaming machine, which performed admirably, but having since built my own desktop and really settling into the college life, I found myself wanting something smaller and less cumbersome, not to mention that the ASUS had been slowly developing problems ever since I bought it about 4 years ago; windows 8 is a complaint."], "output": ["performed", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Which it did not have, only 3 USB 2 ports."], "output": ["USB 2 ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Which it did get, only 3 USB 2 ports."], "output": ["USB 2 ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Which it did not have, only 3 USB 2 ports, but install is easy and ram is upgrade able."], "output": ["USB 2 ports", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, it runs XP and Microsoft is dropping support next April."], "output": ["support", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Luckily, it runs XP and Microsoft is not dropping support next April."], "output": ["support", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, it runs XP and Microsoft is dropping support next April, but software is cool, craftsmanship is unmatched and look is good."], "output": ["support", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, it runs XP and Microsoft is dropping support next April."], "output": ["XP", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Luckily, it runs XP and Microsoft is dropping support next April."], "output": ["XP", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Unfortunately, it runs XP and Microsoft is dropping support next April, but screen is great and square trade 3-year computer accidental protection warranty is a support."], "output": ["XP", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chatting with Acer support, I was advised the problem was corrupted operating system files."], "output": ["operating system files", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chatting with Acer support, I was advised the problem was not corrupted operating system files."], "output": ["operating system files", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chatting with Acer support, I was advised the problem was corrupted operating system files, but fire wire 800 is better, service is great and performance is high."], "output": ["operating system files", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chatting with Acer support, I was advised the problem was corrupted operating system files."], "output": ["Acer support", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chatting with Acer support, I was advised the problem was corrupted operating system files, but downloading apps is a breeze and runs is cool."], "output": ["Acer support", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also, in using the built-in camera, my voice recording for my vlog sounds like the interplanetary transmissions in the \"Star Wars\" saga."], "output": ["voice recording", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also, in using the built-in camera, my voice recording for my vlog sounds like the interplanetary transmissions in the \"Star Wars\" saga, but performs is better and use is an ease."], "output": ["voice recording", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also, in using the built-in camera, my voice recording for my vlog sounds like the interplanetary transmissions in the \"Star Wars\" saga."], "output": ["built-in camera", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Also, in using the built-in camera, my voice recording for my vlog sounds like the interplanetary transmissions in the \"Star Wars\" saga, but I like brightness, weight is excellent and set up is easy."], "output": ["built-in camera", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I miss is that my old Alienware laptop had backlit keys."], "output": ["backlit keys", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I have is that my old Alienware laptop had backlit keys."], "output": ["backlit keys", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The only thing I miss is that my old Alienware laptop had backlit keys, but feels is solid and size is a bonus."], "output": ["backlit keys", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Instead, I'll focus more on the actual performance and feature set of the hardware itself so you can make an educated decision on which Mac to buy."], "output": ["performance and feature set of the hardware", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Instead, I'll focus more on the actual performance and feature set of the hardware itself so you can make an educated decision on which Mac to buy, but I like size."], "output": ["performance and feature set of the hardware", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The memory was gone and it was not able to be used."], "output": ["memory", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The memory was come and it was able to be used."], "output": ["memory", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The memory was gone and it was not able to be used, but integrating Bluetooth devices is easy."], "output": ["memory", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And windows 7 works like a charm."], "output": ["windows 7", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And windows 7 works like a not charm."], "output": ["windows 7", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["And windows 7 works like a charm, but sdxc slot is silly, on/off switch is inconvenient."], "output": ["windows 7", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little concerned about the touch pad based on reviews, but I've found it fine to work with."], "output": ["touch pad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little unconcerned about the touch pad based on reviews, but I've found it not fine to work with."], "output": ["touch pad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I was a little concerned about the touch pad based on reviews, but I've found it fine to work with; I complain OS and hardware is bad."], "output": ["touch pad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Though please note that sometimes it crashes, and the sound quality isnt superb."], "output": ["sound quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Though please note that sometimes it crashes, but the sound quality is superb"], "output": ["sound quality", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Though please note that sometimes it crashes, and the sound quality isnt superb, but audio is reliable, hardware is better and downloading apps is a breeze."], "output": ["sound quality", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["tried windows 8 and hated it !!!"], "output": ["windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["tried windows 8 and not hated it! !!"], "output": ["windows 8", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["tried windows 8 and hated it , but durability is worth, photo is great and audio is reliable."], "output": ["windows 8", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Does everything I need it to, has a wonderful battery life and I couldn't be happier."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Does almost everything I need it to, but doesn't have wonderful battery life and I feel sad."], "output": ["battery life", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Does everything I need it to, has a wonderful battery life and I couldn't be happier, but price is higher."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not too expense and has enough storage for most users and many ports."], "output": ["storage", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not too expense but has not enough storage for most users and many ports"], "output": ["storage", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not too expense and has enough storage for most users and many ports, but cost is more and case is larger."], "output": ["storage", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not too expense and has enough storage for most users and many ports."], "output": ["ports", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not too expensive and doesn't have enough storage for most users but few ports."], "output": ["ports", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not too expense and has enough storage for most users and many ports, but sound quality isn't superb."], "output": ["ports", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I also wanted Windows 7, which this one has."], "output": ["Windows 7", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I also unwanted Windows 7, which this one has."], "output": ["Windows 7", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I also wanted Windows 7, which this one has, but mac OS is inferior."], "output": ["Windows 7", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I also made a recovery USB stick."], "output": ["recovery USB stick", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I also made a recovery USB stick, but start up is a love and features is not light and slim."], "output": ["recovery USB stick", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I think this is about as good as it gets at anything close to this price point."], "output": ["price point", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I think this is about as good as it gets at anything close to this price point, but wife connection is speedy, speed is enough and screen is wide."], "output": ["price point", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I bought it to be able to dedicate a small, portable laptop to my writing and was surprised to learn that I needed to buy a word processing program to do so."], "output": ["word processing program", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I bought it to be able to dedicate a small, portable laptop to my writing and was surprised to learn that I needed to buy a word processing program to do so, but downloading apps is a breeze and mouse is terrific."], "output": ["word processing program", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am pleased with the fast log on, speedy WiFi connection and the long battery life (>6 hrs)."], "output": ["WiFi connection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am displease with the fast log on, not speedy WiFi connection and the long battery life (> 6 hrs)."], "output": ["WiFi connection", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am pleased with the fast log on, speedy WiFi connection and the long battery life (>6 hrs), but i5 is not as fast."], "output": ["WiFi connection", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am pleased with the fast log on, speedy WiFi connection and the long battery life (>6 hrs)."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am displease with the fast log on, speedy WiFi connection and the short battery life (> 6 hrs)."], "output": ["battery life", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am pleased with the fast log on, speedy WiFi connection and the long battery life (>6 hrs), but spec is disappointed and operation is slow."], "output": ["battery life", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am pleased with the fast log on, speedy WiFi connection and the long battery life (>6 hrs)."], "output": ["log on", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am displease with the slow log on, speedy WiFi connection and the long battery life (> 6 hrs)."], "output": ["log on", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I am pleased with the fast log on, speedy WiFi connection and the long battery life (>6 hrs), but track pad is not very good and hard drive is poor."], "output": ["log on", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I re-seated the \"WLAN\" card inside and re-installed the LAN device drivers."], "output": ["\"WLAN\" card", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I re-seated the \"WLAN\" card inside and re-installed the LAN device drivers, but size is ideal, weight is excellent and hardware performance is impressive."], "output": ["\"WLAN\" card", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I re-seated the \"WLAN\" card inside and re-installed the LAN device drivers."], "output": ["LAN device drivers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I re-seated the \"WLAN\" card inside and re-installed the LAN device drivers, but package is nice, customize setting is easy and ram is upgrade able."], "output": ["LAN device drivers", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This newer netbook has no hard drive or network lights."], "output": ["network lights", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This newer netbook has hard drive or network lights."], "output": ["network lights", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This newer netbook has no hard drive or network lights, but use is easy and service is great."], "output": ["network lights", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This newer netbook has no hard drive or network lights."], "output": ["hard drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This newer netbook has a hard drive and network lights."], "output": ["hard drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This newer netbook has no hard drive or network lights, but craftsmanship is unmatched, mac OS is happier and square trade 3-year computer accidental protection warranty is a support."], "output": ["hard drive", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there are MAJOR issues with the touchpad which render the device nearly useless."], "output": ["touchpad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there are MAJOR not issues with the touchpad which render the device nearly useful."], "output": ["touchpad", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, there are MAJOR issues with the touchpad which render the device nearly useless, but built-in apps is amazing, security is apparent and audio is reliable."], "output": ["touchpad", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The smaller size was a bonus because of space restrictions."], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The bigger size was not a bonus because of space restrictions."], "output": ["size", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The smaller size was a bonus because of space restrictions, but volume is crappy."], "output": ["size", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is classy, chic, the service is cool but inhospitable, but the food is not outstanding."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is classy, chic, the service is warm and hospitable, and the food is outstanding, but owner is fake, food is disappointed and prices is high."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is classy, chic, the service is warm and hospitable, and the food is outstanding."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is classy, chic, the service is cool but inhospitable, and the food is outstanding."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is not classy, not chic, the service is warm but hospitable, but the food is not outstanding."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is classy, chic, the service is warm and hospitable, and the food is outstanding, but folding chair is uncomfortable and menu is small."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is classy, chic, the service is warm and hospitable, and the food is outstanding."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is classy, chic, the service is warm and hospitable, but the food is not outstanding."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is not classy, not chic, the service is cool but inhospitable, but the food is outstanding."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place is classy, chic, the service is warm and hospitable, and the food is outstanding, but service is rude, manager is a graceless and sauce is not very flavorful."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to wait for my friend at the bar for a few minutes"], "output": ["bar", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I had to wait for my friend at the bar for a few minutes, but dining atmosphere is nice."], "output": ["bar", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has beautiful sushi, and it's delicious CHEAP. "], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has not beautiful sushi, and it's not delicious EXPENSIVE."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["This place has beautiful sushi, and it's delicious CHEAP. , but disco pop duo is awful, folding chair is uncomfortable and taste is short."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also has lots of other Korean dishes that are affordable and just as yummy."], "output": ["Korean dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also has lots of other Korean dishes that are not affordable and just as not yummy."], "output": ["Korean dishes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It also has lots of other Korean dishes that are affordable and just as yummy, but meal is terrible."], "output": ["Korean dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, warm inviting ambiance, great service the FOOD keeps me coming back!"], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, warm inviting ambiance, not great service the FOOD keeps me coming back!"], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Wonderful menu, cool uninviting ambiance, great service the FOOD keeps me coming back!"], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, warm inviting ambiance, great service the FOOD keeps me coming back, but green chills is not edible."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, warm inviting ambiance, great service the FOOD keeps me coming back!"], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Wonderful menu, warm inviting ambiance, great service the FOOD keeps me coming back!"], "output": ["menu", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, cool uninviting ambiance, not great service the FOOD keeps me coming back!"], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, warm inviting ambiance, great service the FOOD keeps me coming back, but service is slow."], "output": ["menu", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, warm inviting ambiance, great service the FOOD keeps me coming back!"], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, cool uninviting ambiance, great service the FOOD keeps me coming back!"], "output": ["ambiance", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not Wonderful menu, warm inviting ambiance, not great service the FOOD keeps me coming back!"], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, warm inviting ambiance, great service the FOOD keeps me coming back, but food is isn't cheap."], "output": ["ambiance", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, warm inviting ambiance, great service the FOOD keeps me coming back!"], "output": ["FOOD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Wonderful menu, warm inviting ambiance, great service the FOOD keeps me coming back, but service is dreadfully slow."], "output": ["FOOD", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Didn't seem like any effort was made to the display and quality of the food."], "output": ["display and quality of the food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Didn't seem like any effort was made to the display and quality of the food, but cooked food is amazed, burgers is wimpy fast food type and Portuguese cheese cart is perfect."], "output": ["display and quality of the food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Could have had better for 1/3 the price in Chinatown."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Could have had better for 1/3 the price in Chinatown, but food is cheap and vibe is great."], "output": ["price", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Host and Hostess was quite rude."], "output": ["Host", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Host and Hostess was quite civil."], "output": ["Host", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Host and Hostess was quite rude, but prices is modest."], "output": ["Host", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Host and Hostess was quite rude."], "output": ["Hostess", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Host and Hostess was quite civil."], "output": ["Hostess", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Host and Hostess was quite rude, but patties is full sized and music is fascinating."], "output": ["Hostess", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the atmosphere is very nice, and a welcome escape from the rest of the SI mall."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the atmosphere is very nasty, and a welcome escape from the rest of the SI mall."], "output": ["atmosphere", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the atmosphere is very nice, and a welcome escape from the rest of the SI mall, but curried casseroles is harsh, service is horrible and staff is friendly."], "output": ["atmosphere", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the food and service and dramatically lacking."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the food and service and dramatically not lacking."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the food and service and dramatically lacking, but quality is better, pizzas is excellent and atmosphere is sexy."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the food and service and dramatically lacking."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the food and service and dramatically not lacking."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["However, the food and service and dramatically lacking, but prices is reasonable."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is cut in blocks bigger than my cell phone."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is cut in blocks not bigger than my cell phone."], "output": ["sushi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The sushi is cut in blocks bigger than my cell phone, but organic grilled burgers is popular."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We requested they re-slice the sushi, and it was returned to us in small cheese-like cubes."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["We requested they re-slice the sushi, and it was returned to us in small cheese-like cubes, but meal is great."], "output": ["sushi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wait staff was loud and inconsiderate."], "output": ["wait staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wait staff was soft and considerate."], "output": ["wait staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The wait staff was loud and inconsiderate, but repast is enjoyable and chocolate frosty is ultra-thick."], "output": ["wait staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The french fries -- with the kalmata dip were terrific!"], "output": ["french fries -- with the kalmata dip", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The french fries -- with the kalmata dip were delicious!"], "output": ["french fries -- with the kalmata dip", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The french fries -- with the kalmata dip were terrific, but staff is bad, food is good and sushi is bigger."], "output": ["french fries -- with the kalmata dip", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended...  As stated, I haven't dined *in* the restaurant but stopped by there to pick up takeout and it seems a very relaxing place; also, the bar looks nice."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended... As stated, I haven't dined * in * the restaurant but stopped by there to pick up takeout but it seems a very restless place; also, the bar looks nice."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended... As stated, I haven't dined * in * the restaurant but stopped by there to pick up takeout but it seems a very relaxing place; also, the bar looks nasty."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended...  As stated, I haven't dined *in* the restaurant but stopped by there to pick up takeout and it seems a very relaxing place; also, the bar looks nice; folding chair is uncomfortable, people is worst and service is severely slow."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended...  As stated, I haven't dined *in* the restaurant but stopped by there to pick up takeout and it seems a very relaxing place; also, the bar looks nice."], "output": ["bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended... As stated, I haven't dined * in * the restaurant but stopped by there to pick up takeout but it seems a very relaxing place; also, the bar looks nasty."], "output": ["bar", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended... As stated, I haven't dined * in * the restaurant but stopped by there to pick up takeout but it seems a very strange place; also, the bar looks nice."], "output": ["bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended...  As stated, I haven't dined *in* the restaurant but stopped by there to pick up takeout and it seems a very relaxing place; also, the bar looks nice; bill is big."], "output": ["bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended...  As stated, I haven't dined *in* the restaurant but stopped by there to pick up takeout and it seems a very relaxing place; also, the bar looks nice."], "output": ["takeout", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Highly recommended...  As stated, I haven't dined *in* the restaurant but stopped by there to pick up takeout and it seems a very relaxing place; also, the bar looks nice; drinks is great, monitor is best and value is good."], "output": ["takeout", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the erbazzone emiliana to the mostarda on the cheese plate, the dishes at this restaurant are all handled with delicate care."], "output": ["mostarda on the cheese plate", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the erbazzone emiliana to the mostarda on the cheese plate, the dishes at this restaurant are all handled with delicate care, but fish is average."], "output": ["mostarda on the cheese plate", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the erbazzone emiliana to the mostarda on the cheese plate, the dishes at this restaurant are all handled with delicate care."], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the erbazzone emiliana to the mostarda on the cheese plate, the dishes at this restaurant are all handled with delicate care, but ac is a lack and taste is worst."], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the erbazzone emiliana to the mostarda on the cheese plate, the dishes at this restaurant are all handled with delicate care."], "output": ["erbazzone emiliana", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["From the erbazzone emiliana to the mostarda on the cheese plate, the dishes at this restaurant are all handled with delicate care, but staff is arrogant and drinks is awful."], "output": ["erbazzone emiliana", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically off-the-boat, they are young and hip and know what they are doing when it comes to food and wine."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food not authentic, but the staff here are practically off-the-boat, they are young and hip and know what they are doing when it comes to food and wine."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically not off-the-boat, they are young but hip and old what they are doing when it comes to food and wine."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically off-the-boat, they are young and hip and know what they are doing when it comes to food and wine; service is worst."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically off-the-boat, they are young and hip and know what they are doing when it comes to food and wine."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically not off-the-boat, they are young but hip and old what not hip are doing when it comes to food and wine."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food not authentic, but the staff here are practically off-the-boat, they are young but hip and know what they are doing when it comes to bad food and wine."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically off-the-boat, they are young and hip and know what they are doing when it comes to food and wine; wait staff is inconsiderate, fennel flavored Italian sausage is heavy and folding chair is uncomfortable."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically off-the-boat, they are young and hip and know what they are doing when it comes to food and wine."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically off-the-boat, they are young hip and know what they are doing when it comes to food and wine; sushi is better, price is high, and they are busy."], "output": ["wine", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically off-the-boat, they are young and hip and know what they are doing when it comes to food and wine."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food not authentic, but the staff here are practically off-the-boat, they are young and hip and know what they are doing when it comes to food and wine."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically not off-the-boat, they are young but hip and old what not hip are doing when it comes to food and wine."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not only is the food authentic, but the staff here are practically off-the-boat, they are young and hip and know what they are doing when it comes to food and wine; room is plain."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anywhere else, the prices would be 3x as high!"], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Anywhere else, the prices would be 3x as high, but hostess is rude and sauce is not very flavorful."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has the warmth of a family local yet it is a great place to watch sporting events."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has the warmth of a family local yet it is a not great place to watch sporting events."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Has the warmth of a family local yet it is a great place to watch sporting events, but the price is not worth it."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Staff is accomodating make sure you are satified."], "output": ["Staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Staff is not accommodating to make sure you are satisfied."], "output": ["Staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Staff is accomodating make sure you are satified, but drinks is awful."], "output": ["Staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sweet Irish bartender is always happy and able to bring a smile to my friends a my face."], "output": ["bartender", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Cold Irish bartender is always unhappy and unable to bring a smile to my friends and my face."], "output": ["bartender", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Sweet Irish bartender is always happy and able to bring a smile to my friends a my face, but location is convenient."], "output": ["bartender", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although I moved uptown I try to stop in as often as possible for the GREAT cheap food and to pay the friendly staff a visit."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although I moved uptown I try to stop in as often as possible for the GREAT cheap food but to pay the hostile staff a visit."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although I moved uptown I try to stop in as often as possible for the not GREAT expensive food but to pay the friendly staff a visit."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although I moved uptown I try to stop in as often as possible for the GREAT cheap food and to pay the friendly staff a visit, but service is rude and lighting is unattractive."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although I moved uptown I try to stop in as often as possible for the GREAT cheap food and to pay the friendly staff a visit."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although I moved uptown I try to stop in as often as possible for the not GREAT expensive food and to pay the friendly staff a visit."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although I moved uptown I try to stop in as often as possible for the GREAT cheap food and to pay the hostile staff a visit."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Although I moved uptown I try to stop in as often as possible for the GREAT cheap food and to pay the friendly staff a visit, but sales people is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How pretentious and inappropriate for MJ Grill to claim that it provides power lunch and dinners!"], "output": ["lunch", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How pretentious and inappropriate for MJ Grill to claim that it provides inability lunch and dinners!"], "output": ["lunch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How pretentious and inappropriate for MJ Grill to claim that it provides power lunch and dinners, but toppings is fresh and price is reasonable."], "output": ["lunch", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How pretentious and inappropriate for MJ Grill to claim that it provides power lunch and dinners!"], "output": ["dinners", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How pretentious and inappropriate for MJ Grill to claim that it provides inability lunch and dinners!"], "output": ["dinners", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How pretentious and inappropriate for MJ Grill to claim that it provides power lunch and dinners, but Greek yogurt (with cucumber, dill, and garlic) is excellent, staff is friendly and prices is great."], "output": ["dinners", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How can they survive serving mediocre food at exorbitant prices?!"], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How can they survive serving not mediocre food at not exorbitant prices?!"], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How can they survive serving mediocre food at enormously exorbitant prices?!"], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How can they survive serving mediocre food at exorbitant prices, but staff is pleasant and menu is varied."], "output": ["food", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How can they survive serving mediocre food at exorbitant prices?!"], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How can they survive serving mediocre food at not exorbitant prices?!"], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How can they survive serving reasonable food at exorbitant prices?!"], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["How can they survive serving mediocre food at exorbitant prices, but lamb is a favorites and atmosphere is a change."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I asked for a simple medium rare steak."], "output": ["steak", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I asked for a complex not medium not rare steak."], "output": ["steak", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I asked for a simple medium rare steak, but calf's liver is a favorite, place is a fun and shrimp dishes is a love."], "output": ["steak", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then they somehow made a dry and burnt crust, around a raw and cold inside."], "output": ["crust", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then they somehow made a sweet and not burnt crust, around a raw and cold inside."], "output": ["crust", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Then they somehow made a dry and burnt crust around a raw and cold inside, but the calamari and taglierini with truffles is incredible."], "output": ["crust", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two wasted steaks -- what a crime!"], "output": ["steaks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two hypertrophied steaks -- what a crime!"], "output": ["steaks", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Two wasted steaks -- what a crime, but music is good, service is attentive and host is excellent."], "output": ["steaks", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great restaurant, and even greater food!"], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great restaurant, but bad food"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Great restaurant, and even greater food, but service is disappointed."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The dishes are remarkably tasty and such a cozy and intimate place!"], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The dishes are remarkably tasty and such a not cozy but not intimate place!"], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The dishes are remarkably bad, even if in such a cozy and intimate place!"], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The dishes are remarkably tasty and such a cozy and intimate place, but hostess is rude and staff is unfriendly."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The dishes are remarkably tasty and such a cozy and intimate place!"], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The dishes are remarkably tasteless but such a cozy and intimate place!"], "output": ["dishes", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The dishes are remarkably tasty but not a cozy nor intimate place!"], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The dishes are remarkably tasty and such a cozy and intimate place, but service is worst."], "output": ["dishes", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Save room for the desserts! ;-)"], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Save room for the desserts! ;-), but food is disappointed and fortune cookies is a complaint."], "output": ["desserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is most evident in the delectable roti canai appetizer, a fried pancake served with pungent curry dipping sauce, while the mango chicken offers a surprisingly sophisticated, fresh take on sweet-and-sour."], "output": ["roti canai appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is most evident in the not delectable roti canai appetizer, a fried pancake served with pungent curry dipping sauce, while the mango chicken offers a surprisingly sophisticated, fresh take on sweet-but-sour."], "output": ["roti canai appetizer", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is most evident in the delectable roti canai appetizer, a fried pancake served with pungent curry dipping sauce, while the mango chicken does not offer a surprisingly sophisticated, fresh stale on sweet-but-sour."], "output": ["roti canai appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is most evident in the delectable roti canai appetizer, a fried pancake served with pungent curry dipping sauce. While the mango chicken offers a surprisingly sophisticated fresh take on sweet-and-sour, but lighting is unattractive."], "output": ["roti canai appetizer", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is most evident in the delectable roti canai appetizer, a fried pancake served with pungent curry dipping sauce, while the mango chicken offers a surprisingly sophisticated, fresh take on sweet-and-sour."], "output": ["fried pancake served with pungent curry dipping sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is most evident in the delectable roti canai appetizer, a fried pancake served with pungent curry dipping sauce, while the mango chicken offers a surprisingly sophisticated, fresh take on sweet-and-sour, but service is bad and service is slow."], "output": ["fried pancake served with pungent curry dipping sauce", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is most evident in the delectable roti canai appetizer, a fried pancake served with pungent curry dipping sauce, while the mango chicken offers a surprisingly sophisticated, fresh take on sweet-and-sour."], "output": ["mango chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is most evident in the delectable roti canai appetizer, a fried pancake served with pungent curry dipping sauce, while the mango chicken offers a not surprisingly sophisticated, fresh salty on sweet-but-sour."], "output": ["mango chicken", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is nowhere to be found in the nasty roti canai appetizer, although it is evident in a fried pancake served with pungent curry dipping sauce, and the mango chicken offers a surprisingly sophisticated, fresh take on sweet-but-sour."], "output": ["mango chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The homage to India is most evident in the delectable roti canai appetizer, a fried pancake served with pungent curry dipping sauce, while the mango chicken offers a surprisingly sophisticated, fresh take on sweet-and-sour, but portions is small and people is worst."], "output": ["mango chicken", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One caveat: Some of the curried casseroles can be a trifle harsh."], "output": ["curried casseroles", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One caveat: Some of the curried casseroles can be a bit fine"], "output": ["curried casseroles", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["One caveat: Some of the curried casseroles can be a trifle harsh, but BBQ rib is perfect, coffee is better and decor is creative."], "output": ["curried casseroles", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was good, but none of the flavors WOW."], "output": ["flavors", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was good, but none of the flavors WOW; food was outstanding, and vegetables were distinctive."], "output": ["flavors", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The closest that I got was the Cherry Marscapone, but they were out of it that day."], "output": ["Cherry Marscapone", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The closest that I got was the Cherry Marscapone, but they were out of it that day; service is good and Indian food is great."], "output": ["Cherry Marscapone", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff should be a bit more friendly."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff should be a bit more hostile."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff should be a bit more friendly, but tutor tots is great."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best hot dogs in the tri-state area."], "output": ["hot dogs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Worst hot dogs in the tri-state area."], "output": ["hot dogs", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Best hot dogs in the tri-state area, but filet minor is not very good and service is awful."], "output": ["hot dogs", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["Chicken McNuggets", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time not favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["Chicken McNuggets", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; awfully lighter options like entree-sized salads are also available."], "output": ["Chicken McNuggets", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available, but priced is high."], "output": ["Chicken McNuggets", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["Filet-O-Fish sandwich", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time not favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["Filet-O-Fish sandwich", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; decidedly lighter options like entree-sized salads are also available."], "output": ["Filet-O-Fish sandwich", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available, but filet minor is not very good."], "output": ["Filet-O-Fish sandwich", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["entree-sized salads", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich but McDonald's famous french fries; not lighter options like entree-sized salads are also available."], "output": ["entree-sized salads", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time very favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["entree-sized salads", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available, but service is great and desserts is great."], "output": ["entree-sized salads", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["McDonald's famous french fries", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time not favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["McDonald's famous french fries", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; healthier lighter options like entree-sized salads are also available."], "output": ["McDonald's famous french fries", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available, but service is poor, wait staff is inconsiderate and service is bad."], "output": ["McDonald's famous french fries", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["Big Mac", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time not favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available."], "output": ["Big Mac", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; decidedly lighter options like entree-sized salads are also available."], "output": ["Big Mac", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All-time favorites include the Big Mac, Chicken McNuggets, Filet-O-Fish sandwich and McDonald's famous french fries; lighter options like entree-sized salads are also available, but ground chickpea soup is thin and service is horrible."], "output": ["Big Mac", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are available for breakfast."], "output": ["hot cakes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are unavailable for breakfast."], "output": ["hot cakes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are available for breakfast, but service is prompt, plantains is good and waiters is bad."], "output": ["hot cakes", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are available for breakfast."], "output": ["breakfast", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are available for breakfast, but place is intimate and owners is friendly."], "output": ["breakfast", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are available for breakfast."], "output": ["Egg McMuffin sandwich", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are unavailable for breakfast."], "output": ["Egg McMuffin sandwich", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are available for breakfast, but the manager is a graceless."], "output": ["Egg McMuffin sandwich", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is arrogant, the prices are way high for Brooklyn."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is not arrogant, the prices are way high for Brooklyn."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is arrogant, the prices are way low for Brooklyn."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is arrogant, the prices are way high for Brooklyn, but food is perfect and wine is excellent."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is arrogant, the prices are way high for Brooklyn."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is arrogant, the prices are way low for Brooklyn."], "output": ["prices", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is humble, but the prices are way high for Brooklyn."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is arrogant, the prices are way high for Brooklyn, but I try rose roll, calf's liver is a favorites and new menu is creative."], "output": ["prices", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chef Vincenzo, always there if you need him, is a real talent and a real Roman."], "output": ["Chef", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chef Vincenzo, always there if you need him, is a real not talent and a real Roman."], "output": ["Chef", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Chef Vincenzo, always there if you need him, is a real talent and a real Roman, but manager is a rudeness and dinners is a power."], "output": ["Chef", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is excellent (and not expensive by NYC standards- no entrees over $30, most appetizers $12 to 14)."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is excellent (but costly by NYC standards- no entrees over $ 30, most appetizers $ 12 to 14)."], "output": ["appetizers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is not excellent (but not expensive by NYC standards- no entrees over $ 30, most appetizers $ 12 to 14)."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is excellent (and not expensive by NYC standards- no entrees over $30, most appetizers $12 to 14), but manager is a graceless."], "output": ["appetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is excellent (and not expensive by NYC standards- no entrees over $30, most appetizers $12 to 14)."], "output": ["entrees", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is excellent (and not expensive by NYC standards- no entrees over $30, most appetizers $12 to 14), but waiters is bad."], "output": ["entrees", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is excellent (and not expensive by NYC standards- no entrees over $30, most appetizers $12 to 14)."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is not excellent (but not expensive by NYC standards- no entrees over $ 30, most appetizers $ 12 to 14)."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is excellent (but onerous by NYC standards- no entrees over $ 30, most appetizers $ 12 to 14)."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["His food is excellent (and not expensive by NYC standards- no entrees over $30, most appetizers $12 to 14), but waiters are impatient."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space and the long bar perfect for a drink."], "output": ["drink", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space and the long bar perfect for a drink, but Japanese food is decent."], "output": ["drink", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space and the long bar perfect for a drink."], "output": ["room", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a not gorgeous, bi-level space and the long bar perfect for a drink."], "output": ["room", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space but the long bar imperfect for a drink."], "output": ["room", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space and the long bar perfect for a drink, but wait staff is inconsiderate, sales people is rude and portions is small."], "output": ["room", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space and the long bar perfect for a drink."], "output": ["bi-level space", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a not gorgeous, bi-level space and the long bar perfect for a drink."], "output": ["bi-level space", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a beautiful, bi-level space but the long bar imperfect for a drink."], "output": ["bi-level space", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space and the long bar perfect for a drink, but dinners is a power."], "output": ["bi-level space", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space and the long bar perfect for a drink."], "output": ["long bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space but the long bar imperfect for a drink."], "output": ["long bar", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a small, bi-level space but the long bar perfect for a drink."], "output": ["long bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The room is a gorgeous, bi-level space and the long bar perfect for a drink, but owner is fake, size is busy and service is terrible."], "output": ["long bar", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go for the Seafood Paella for two."], "output": ["Seafood Paella for two", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Go for the Seafood Paella for two, but service is bad, waiter is a rudeness and waiting is rude."], "output": ["Seafood Paella for two", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even for two very hungry people there is plenty of food left to be taken home (it reheats really well also)."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even for two very hungry people there is not plenty of food left to be taken home (it reheats really well also)."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Even for two very hungry people there is plenty of food left to be taken home (it reheats really well also), but taste is bad."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All of the apetizers are good and the Sangria is very good."], "output": ["Sangria", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All of the apetizers are good and the Sangria is very bad."], "output": ["Sangria", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All of the apetizers are bad but the Sangria is very good."], "output": ["Sangria", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All of the apetizers are good and the Sangria is very good, but food is inconsistent."], "output": ["Sangria", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All of the apetizers are good and the Sangria is very good."], "output": ["apetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All of the apetizers are bad and the Sangria is very good."], "output": ["apetizers", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All of the apetizers are good but the Sangria is very bad."], "output": ["apetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["All of the apetizers are good and the Sangria is very good, but taste is short."], "output": ["apetizers", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is usually pretty good."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is usually pretty bad."], "output": ["Service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Service is usually pretty good, but dining experience is worst, menu is small and food is isn't very good."], "output": ["Service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The design is very intimate and romantic."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The design is not very intimate or romantic"], "output": ["design", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The design is very intimate and romantic, but ground chickpea soup is thin, artificial lobster meat is artificial and service is horrible."], "output": ["design", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was wonderful and imaginative."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was awful and unimaginative."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food was wonderful and imaginative, but taste is worst and cake is average."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is very sharp and they look good too."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is very dull and they look bad too."], "output": ["staff", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is very sharp and they look good too, but sales people is rude, curried casseroles is harsh and food portion is below average."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was such a fantastic dining experience, that I returned again the same week."], "output": ["dining experience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was such a not fantastic dining experience, that I returned again the same week."], "output": ["dining experience", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It was such a fantastic dining experience, that I returned again the same week, but people is worst, fish is average and bill is big."], "output": ["dining experience", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is wonderful, artfully done and simply delicious."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is not wonderful, though artfully done, it's simply not delicious."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The food is wonderful, artfully done and simply delicious, but hostess is rude."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Save room for deserts - they're to die for."], "output": ["deserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Save room for deserts-they're to not die for."], "output": ["deserts", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Save room for deserts - they're to die for, but folding chair is uncomfortable and menu is small."], "output": ["deserts", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The lone argentine chorizo appetizer at $8.95 was a heavy fennel flavored Italian sausage like the ones that sell for $2.99/lb at the store."], "output": ["argentine chorizo appetizer", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The lone $8.95 argentine chorizo appetizer is a heavy fennel flavored Italian similar to those that sell for $2.99/lb at the store; king crab salad with passion fruit vinaigrette is creative."], "output": ["argentine chorizo appetizer", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The lone argentine chorizo appetizer at $8.95 was a heavy fennel flavored Italian sausage like the ones that sell for $2.99/lb at the store."], "output": ["fennel flavored Italian sausage", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The lone argentine chorizo appetizer at $ 8.95 was a light fennel flavored Italian sausage like the ones that sell for $ 2.99/lb at the store."], "output": ["fennel flavored Italian sausage", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The lone argentine chorizo appetizer at $8.95 was a heavy fennel flavored Italian sausage like the ones that sell for $2.99/lb at the store, but Chinese food is best."], "output": ["fennel flavored Italian sausage", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nice tapas, an interesting selection of wines (primarily Spanish) and a lowkey hip neighborhood clientele."], "output": ["selection of wines (primarily Spanish)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nice tapas, an interesting selection of wines (primarily Spanish) and a lowkey hip neighborhood clientele, but interior is average, staff is friendly and dish is edible."], "output": ["selection of wines (primarily Spanish)", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nice tapas, an interesting selection of wines (primarily Spanish) and a lowkey hip neighborhood clientele."], "output": ["tapas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nasty tapas, an interesting selection of wines (primarily Spanish) but a lowkey hip neighborhood clientele."], "output": ["tapas", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has bad music, nice tapas, an interesting selection of wines (primarily Spanish) but a lowkey unhip neighborhood clientele."], "output": ["tapas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nice tapas, an interesting selection of wines (primarily Spanish) and a lowkey hip neighborhood clientele, but manager is a rudeness, waiter is a rudeness and food is isn't cheap."], "output": ["tapas", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nice tapas, an interesting selection of wines (primarily Spanish) and a lowkey hip neighborhood clientele."], "output": ["clientele", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nice tapas, an interesting selection of wines (primarily Spanish) but a not lowkey or hip neighborhood clientele."], "output": ["clientele", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has bad music, nasty tapas, an interesting selection of wines (primarily Spanish) but a lowkey hip neighborhood clientele."], "output": ["clientele", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nice tapas, an interesting selection of wines (primarily Spanish) and a lowkey hip neighborhood clientele, but dish is edible."], "output": ["clientele", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nice tapas, an interesting selection of wines (primarily Spanish) and a lowkey hip neighborhood clientele."], "output": ["music", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has bad music, nice tapas, an interesting selection of wines (primarily Spanish) but a lowkey hip neighborhood clientele."], "output": ["music", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nasty tapas, an interesting selection of wines (primarily Spanish) but a not lowkey not hip neighborhood clientele."], "output": ["music", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["It has good music, nice tapas, an interesting selection of wines (primarily Spanish) and a lowkey hip neighborhood clientele, but sushi is bigger."], "output": ["music", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Most importantly, it is reasonably priced."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Most importantly, it is unreasonably priced."], "output": ["priced", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Most importantly, it is reasonably priced, but green chills is not edible and sushi is bigger."], "output": ["priced", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have been going to this restaurant for years, in the past the service was average and the food inconsistant."], "output": ["service", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have been going to this restaurant for years, in the past the service was below average and the food inconsistent."], "output": ["service", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have been going to this restaurant for years, in the past the service was average and the food good as always."], "output": ["service", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have been going to this restaurant for years, in the past the service was average and the food inconsistant, but appetizers is delectable, value is good and ambiance is romantic."], "output": ["service", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have been going to this restaurant for years, in the past the service was average and the food inconsistant."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have been going to this restaurant for years, in the past the service was average but the food not inconsistant."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have been going to this restaurant for years, in the past the service was average but the food is consistant"], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I have been going to this restaurant for years, in the past the service was average and the food inconsistant, but the sushi is fresh, the place is good and I recommend orange chicken/beef."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very comforting and the food was better than average, but what really standed out was such a dynamic and extensive beer list."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very not comforting but the food was better than average, but what really standed out was such a dynamic and extensive beer list."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very comforting but the food was not better than average, but what really standed out was such a dynamic but extensive beer not list."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very comforting and the food was better than average, but what really standed out was such a dynamic and extensive beer list; mole sauce is too sweet."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very comforting and the food was better than average, but what really standed out was such a dynamic and extensive beer list."], "output": ["beer list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very comforting and the food was better than average, but what really not stand out was such a dynamic but limited beer list."], "output": ["beer list", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very not comforting but the food was not better than average, but what really standed out was such a dynamic but extensive beer list."], "output": ["beer list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very comforting and the food was better than average, but what really standed out was such a dynamic and extensive beer list; food is disappointed and service is rude."], "output": ["beer list", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very comforting and the food was better than average, but what really standed out was such a dynamic and extensive beer list."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very comforting but the food was not better than average, but what really standed out was such a dynamic and extensive beer list."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very not comforting but the food was better than average, but what really standed out was such a dynamic but intensive beer list."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["What a difference, the service was very comforting and the food was better than average, but what really standed out was such a dynamic and extensive beer list; disco pop duo is awful and bill is big."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Very nice touch that very much fits the place."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Very nasty touch that very much fits the place."], "output": ["place", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Very nice touch that very much fits the place, but filet minor is not very good."], "output": ["place", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they can't compete with Temple's entire positive attitude about the proper way to treat their customers and deliver top quality food."], "output": ["attitude", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they can't compete with Temple's negative attitude about the proper way to treat their customers and deliver top quality food."], "output": ["attitude", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they can't compete with Temple's entire positive attitude about the proper way to treat their customers but deliver not top quality food."], "output": ["attitude", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they can't compete with Temple's entire positive attitude about the proper way to treat their customers and deliver top quality food, but curried casseroles is harsh, service is terrible and wine list is disappointing."], "output": ["attitude", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they can't compete with Temple's entire positive attitude about the proper way to treat their customers and deliver top quality food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they can't compete with Temple's entire positive attitude about the proper way to treat their customers but deliver not top quality food."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they can't compete with Temple's entire negative attitude about the proper way to treat their customers but deliver top quality food."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they can't compete with Temple's entire positive attitude about the proper way to treat their customers and deliver top quality food, but the bill is big."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I just had my first visit to this place and can't wait to go back and slowly work my way through the menu."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["I just had my first visit to this place and can't wait to go back and slowly work my way through the menu, but waiters is helpful and sauce is fresh."], "output": ["menu", "neutral"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My daughter and I left feeling satisfied (not stuffed) and it felt good to know we had a healthy lunch."], "output": ["lunch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My daughter and I left feeling satisfied (not stuffed) and it felt good to know we had a unhealthy lunch."], "output": ["lunch", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["My daughter and I left feeling satisfied (not stuffed) and it felt good to know we had a healthy lunch, but lighting is unattractive."], "output": ["lunch", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not to be overlooked, the service is excellent."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not to be overlooked, the service is not excellent."], "output": ["service", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Not to be overlooked, the service is excellent, but the taste was bad."], "output": ["service", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is 100% Italian and the food is as authentic as it gets."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is 100% Italian and the food is as authentic as it gets, but tables is uncomfortably close and slices is expensive."], "output": ["staff", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is 100% Italian and the food is as authentic as it gets."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is 100% Italian and the food is as not authentic as it gets."], "output": ["food", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The staff is 100% Italian and the food is as authentic as it gets, but service is severely slow and service is bad."], "output": ["food", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The gnocchi literally melts in your mouth!"], "output": ["gnocchi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The gnocchi literally not melts in your mouth!"], "output": ["gnocchi", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["The gnocchi literally melts in your mouth, but music is too heavy and bill is big."], "output": ["gnocchi", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything about this place is adorable - even the bathroom!"], "output": ["bathroom", "positive"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}
{"task_type": "generation", "dataset": "arts", "input": ["Everything about this place is not adorable-even the bathroom!"], "output": ["bathroom", "negative"], "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"3D rendering not slows it down considerably.\"  Output: [\"3D rendering\", \"negative\"] "}