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metadata
annotations_creators:
  - found
language_creators:
  - found
languages:
  - ar
licenses:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - multi-class-classification
paperswithcode_id: labr

Dataset Card for MetRec

Table of Contents

Dataset Description

Dataset Summary

This dataset contains over 63,000 book reviews in Arabic. It is the largest sentiment analysis dataset for Arabic to-date. The book reviews were harvested from the website Goodreads during the month or March 2013. Each book review comes with the goodreads review id, the user id, the book id, the rating (1 to 5) and the text of the review.

Supported Tasks and Leaderboards

The dataset was published on this paper.

Languages

The dataset is based on Arabic.

Dataset Structure

Data Instances

A typical data point comprises a rating from 1 to 5 where the higher the rating the better the review.

Data Fields

[More Information Needed]

Data Splits

The data is split into a training and testing. The split is organized as the following

Tain Test
data split 11,760 2,935

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

downloaded over 220,000 reviews from the book readers social network www.goodreads.com during the month of March 2013

Who are the source language producers?

Reviews.

Annotations

The dataset does not contain any additional annotations.

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Discussion of Social Impact and Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @zaidalyafeai for adding this dataset.