Datasets:

Sub-tasks:
extractive-qa
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
ArXiv:
Tags:
License:
albertvillanova HF staff commited on
Commit
1111de4
1 Parent(s): 3d1b2f2

Fix subjectivity level description in dataset card (#4)

Browse files

- Fix subjectivity level description (f221d72680df04da3cefa83d24227fd7f351c46e)

Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -449,14 +449,14 @@ Each domain and split consists of the following columns:
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  * ```question```: The question (written based on a query opinion).
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  * ```id```: A unique id assigned to the question-review pair.
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  * ```q_reviews_id```: A unique id assigned to all question-review pairs with a shared question.
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- * ```question_subj_level```: The subjectiviy level of the question (on a 1 to 5 scale with 1 being the most subjective).
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  * ```ques_subj_score```: The subjectivity score of the question computed using the [TextBlob](https://textblob.readthedocs.io/en/dev/) package.
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  * ```context```: The review (that mentions the neighboring opinion).
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  * ```review_id```: A unique id associated with the review.
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  * ```answers.text```: The span labeled by annotators as the answer.
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  * ```answers.answer_start```: The (character-level) start index of the answer span highlighted by annotators.
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  * ```is_ques_subjective```: A boolean subjectivity label derived from ```question_subj_level``` (i.e., scores below 4 are considered as subjective)
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- * ```answers.answer_subj_level```: The subjectiviy level of the answer span (on a 1 to 5 scale with 5 being the most subjective).
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  * ```answers.ans_subj_score```: The subjectivity score of the answer span computed usign the [TextBlob](https://textblob.readthedocs.io/en/dev/) package.
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  * ```answers.is_ans_subjective```: A boolean subjectivity label derived from ```answer_subj_level``` (i.e., scores below 4 are considered as subjective)
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  * ```domain```: The category/domain of the review (e.g., hotels, books, ...).
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  * ```question```: The question (written based on a query opinion).
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  * ```id```: A unique id assigned to the question-review pair.
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  * ```q_reviews_id```: A unique id assigned to all question-review pairs with a shared question.
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+ * ```question_subj_level```: The subjectivity level of the question (on a 1 to 5 scale with 1 being the most subjective).
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  * ```ques_subj_score```: The subjectivity score of the question computed using the [TextBlob](https://textblob.readthedocs.io/en/dev/) package.
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  * ```context```: The review (that mentions the neighboring opinion).
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  * ```review_id```: A unique id associated with the review.
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  * ```answers.text```: The span labeled by annotators as the answer.
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  * ```answers.answer_start```: The (character-level) start index of the answer span highlighted by annotators.
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  * ```is_ques_subjective```: A boolean subjectivity label derived from ```question_subj_level``` (i.e., scores below 4 are considered as subjective)
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+ * ```answers.answer_subj_level```: The subjectivity level of the answer span (on a 1 to 5 scale with 1 being the most subjective).
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  * ```answers.ans_subj_score```: The subjectivity score of the answer span computed usign the [TextBlob](https://textblob.readthedocs.io/en/dev/) package.
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  * ```answers.is_ans_subjective```: A boolean subjectivity label derived from ```answer_subj_level``` (i.e., scores below 4 are considered as subjective)
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  * ```domain```: The category/domain of the review (e.g., hotels, books, ...).