Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Arabic
Size:
1K - 10K
License:
| annotations_creators: | |
| - found | |
| language_creators: | |
| - found | |
| language: | |
| - ar | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-classification | |
| pretty_name: ArRestReviews | |
| dataset_info: | |
| features: | |
| - name: polarity | |
| dtype: | |
| class_label: | |
| names: | |
| '0': negative | |
| '1': positive | |
| - name: text | |
| dtype: string | |
| - name: restaurant_id | |
| dtype: string | |
| - name: user_id | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 3617085 | |
| num_examples: 8364 | |
| download_size: 1887029 | |
| dataset_size: 3617085 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| # Dataset Card for ArRestReviews | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** [Large Arabic Sentiment Analysis Resources](https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces) | |
| - **Repository:** [Large Arabic Sentiment Analysis Resources](https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces) | |
| - **Paper:** [ Building Large Arabic Multi-domain Resources for Sentiment Analysis](https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces/blob/master/Paper%20-%20Building%20Large%20Arabic%20Multi-domain%20Resources%20for%20Sentiment%20Analysis.pdf) | |
| - **Point of Contact:** [hady elsahar](hadyelsahar@gmail.com) | |
| ### Dataset Summary | |
| Dataset of 8364 restaurant reviews from qaym.com in Arabic for sentiment analysis | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed] | |
| ### Languages | |
| The dataset is based on Arabic. | |
| ## Dataset Structure | |
| ### Data Instances | |
| A typical data point comprises of the following: | |
| - "polarity": which is a string value of either 0 or 1 indicating the sentiment around the review | |
| - "text": is the review plain text of a restaurant in Arabic | |
| - "restaurant_id": the restaurant ID on the website | |
| - "user_id": the user ID on the website | |
| example: | |
| ``` | |
| { | |
| 'polarity': 0, # negative | |
| 'restaurant_id': '1412', | |
| 'text': 'عادي جدا مامن زود', | |
| 'user_id': '21294' | |
| } | |
| ``` | |
| ### Data Fields | |
| - "polarity": is a string value of either 0 or 1 indicating the sentiment around the review | |
| - "text": is the review plain text of a restaurant in Arabic | |
| - "restaurant_id": the restaurant ID on the website (string) | |
| - "user_id": the user ID on the website (string) | |
| ### Data Splits | |
| The dataset is not split. | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| [More Information Needed] | |
| #### Initial Data Collection and Normalization | |
| Contains 8364 restaurant reviews from qaym.com | |
| #### Who are the source language producers? | |
| From tweeter. | |
| ### Annotations | |
| The polarity field provides a label of 1 or -1 pertaining to the sentiment of the review | |
| #### 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 | |
| @InProceedings{10.1007/978-3-319-18117-2_2, | |
| author="ElSahar, Hady | |
| and El-Beltagy, Samhaa R.", | |
| editor="Gelbukh, Alexander", | |
| title="Building Large Arabic Multi-domain Resources for Sentiment Analysis", | |
| booktitle="Computational Linguistics and Intelligent Text Processing", | |
| year="2015", | |
| publisher="Springer International Publishing", | |
| address="Cham", | |
| pages="23--34", | |
| isbn="978-3-319-18117-2" | |
| } | |
| ### Contributions | |
| Thanks to [@abdulelahsm](https://github.com/abdulelahsm) for adding this dataset. |