Task Categories: text-classification
Languages: ar
Multilinguality: monolingual
Size Categories: 1K<n<10K
Licenses: unknown
Language Creators: found
Annotations Creators: found
Source Datasets: original

Dataset Card for MetRec

Dataset Summary

Arabic Jordanian General Tweets (AJGT) Corpus consisted of 1,800 tweets annotated as positive and negative. Modern Standard Arabic (MSA) or Jordanian dialect.

Supported Tasks and Leaderboards

The dataset was published on this paper.


The dataset is based on Arabic.

Dataset Structure

Data Instances

A binary datset with with negative and positive sentiments.

Data Fields

[More Information Needed]

Data Splits

The dataset is not split.

no split 1,800

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

Contains 1,800 tweets collected from twitter.

Who are the source language producers?

From tweeter.


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]


Thanks to @zaidalyafeai, @lhoestq for adding this dataset.

Models trained or fine-tuned on ajgt_twitter_ar

None yet