Dataset:
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.
Languages
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.
| Tain | |
|---|---|
| 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.
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, @lhoestq for adding this dataset.