
# 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.
task_categories:text-classification task_ids:sentiment-classification annotations_creators:found language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:ar license:unknown region:us
{"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-*"}]}]}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Arabic #license-unknown #region-us 


# Dataset Card for ArRestReviews

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: Large Arabic Sentiment Analysis Resources
- Repository: Large Arabic Sentiment Analysis Resources
- Paper:  Building Large Arabic Multi-domain Resources for Sentiment Analysis
- Point of Contact: hady elsahar

### Dataset Summary

Dataset of 8364 restaurant reviews from URL in Arabic for sentiment analysis

### Supported Tasks and Leaderboards



### 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:


### 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



### Source Data



#### Initial Data Collection and Normalization

Contains 8364 restaurant reviews from URL

#### 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



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Discussion of Social Impact and Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing 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 for adding this dataset.
# Dataset Card for ArRestReviews ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: Large Arabic Sentiment Analysis Resources
- Repository: Large Arabic Sentiment Analysis Resources
- Paper:  Building Large Arabic Multi-domain Resources for Sentiment Analysis
- Point of Contact: hady elsahar ### Dataset Summary

Dataset of 8364 restaurant reviews from URL in Arabic for sentiment analysis ### Supported Tasks and Leaderboards ### 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: ### 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 ### Source Data #### Initial Data Collection and Normalization

Contains 8364 restaurant reviews from URL #### 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 #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Discussion of Social Impact and Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing 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 for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Arabic #license-unknown #region-us 
 # Dataset Card for ArRestReviews ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: Large Arabic Sentiment Analysis Resources
- Repository: Large Arabic Sentiment Analysis Resources
- Paper:  Building Large Arabic Multi-domain Resources for Sentiment Analysis
- Point of Contact: hady elsahar ### Dataset Summary

Dataset of 8364 restaurant reviews from URL in Arabic for sentiment analysis ### Supported Tasks and Leaderboards ### 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: ### 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 ### Source Data #### Initial Data Collection and Normalization

Contains 8364 restaurant reviews from URL #### 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 #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Discussion of Social Impact and Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing 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 for adding this dataset.