vstrandmoe/gpt-neo-125M-nutrition
0.1B • Updated • 5
inputs stringlengths 512 1.13k | targets stringclasses 35
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instruction:
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline case... | mixed
| 9 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative | 9 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | mixed
| 6 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very positive | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very positive
| 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive
| 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Solution: positive | 5 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | very positive | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Teacher: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); ... | negative | 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Teacher: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); ... | very positive | 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
TASK DEFINITION: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline ... | positive
| 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative | 6 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Part 1. Definition
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderlin... | positive | 7 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
instruction:
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline case... | very negative
| 9 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Detailed Instructions: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borde... | very negative | 4 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Detailed Instructions: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borde... | negative | 4 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very positive
| 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Detailed Instructions: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borde... | very negative | 4 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | mixed
| 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Teacher: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); ... | very positive | 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Part 1. Definition
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderlin... | negative | 7 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Output: very positive
| 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative
| 6 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | mixed | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive | 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | very positive | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very positive
| 6 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very positive | 6 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | mixed | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative
| 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | mixed
| 6 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Output: very positive
| 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | very positive | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Solution: positive | 5 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very positive | 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative
| 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
instruction:
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline case... | very positive
| 9 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | positive | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Part 1. Definition
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderlin... | very positive | 7 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Teacher: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); ... | positive | 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | neutral | 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | mixed
****
| 4 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive
| 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | mixed | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative
| 7 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Detailed Instructions: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borde... | positive | 4 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative | 6 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Teacher: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); ... | mixed | 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive
| 5 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Part 1. Definition
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderlin... | negative | 7 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative
| 7 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | mixed
| 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative | 9 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | mixed | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive
| 6 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Output: mixed
| 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative
| 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Output: negative
| 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive
****
| 4 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative | 9 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive | 9 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative
| 5 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative
| 5 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Teacher: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); ... | very negative | 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative
****
| 4 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive
| 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative
| 5 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Solution: positive | 5 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | very negative | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
TASK DEFINITION: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline ... | very negative
| 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative | 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Teacher: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); ... | very positive | 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Teacher: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); ... | negative | 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative
****
| 4 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | mixed
| 0 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | negative | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Teacher: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); ... | very negative | 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | very positive | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | positive
| 7 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Output: mixed
| 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Solution: mixed | 5 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | negative | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative
| 0 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative | 3 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative
| 7 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very positive | 6 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiment... | very positive | 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | negative
| 1 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative | 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
instruction:
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline case... | positive
| 9 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative | 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | very negative
| 7 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
TASK DEFINITION: In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline ... | very negative
| 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | mixed | 8 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt |
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