Datasets:
Tasks:
Text Classification
Formats:
json
Languages:
English
Size:
100K - 1M
Tags:
Human-Centered NLP
Helpfulness Prediction
Review Helpfulness Prediction
User Review Analysis
Dataset
Review Helpfulness Prediction Dataset
DOI:
License:
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README.md
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# Dataset Card for Review Helpfulness Prediction Dataset
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Data Instances
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```
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{
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"user_review_posted": 28,
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```
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### Data Fields
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### Data Splits
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- 100K<n<1M
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# Dataset Card for Review Helpfulness Prediction (RHP) Dataset
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:** [On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction](https://aclanthology.org/2023.findings-eacl.125/)
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- **Leaderboard:**
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- **Point of Contact:**
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### Data Instances
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One example from the `test` split of the dataset is given below in JSON format.
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```
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{
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"user_review_posted": 28,
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```
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### Data Fields
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- 'user_review_posted': An integer representing the number of reviews posted by the reviewer.
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- 'user_total_helpful_votes': An integer representing the cumulative helpful votes received by the reviewer.
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- 'expertise': A normalized floating point number representing the mean number of helpful votes received per review.
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- 'user_cities_visited': An integer representing the number of cities visited by the reviewer.
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- 'review_days': A normalized floating point number representing the relative age of a review in days.
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- 'helpful_class': An integer representing the degree of helpfulness.
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- 'user_total_helpful_votes':
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### Data Splits
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