Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Arabic
Size:
1K - 10K
License:
annotations_creators: | |
- found | |
language_creators: | |
- found | |
languages: | |
- ar | |
licenses: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 1K<n<10K | |
source_datasets: | |
- original | |
task_categories: | |
- text-classification | |
task_ids: | |
- sentiment-classification | |
paperswithcode_id: null | |
# Dataset Card for MetRec | |
## 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:** [AJGT](https://github.com/komari6/Arabic-twitter-corpus-AJGT) | |
- **Repository:** [AJGT](https://github.com/komari6/Arabic-twitter-corpus-AJGT) | |
- **Paper:** [Arabic Tweets Sentimental Analysis Using Machine Learning](https://link.springer.com/chapter/10.1007/978-3-319-60042-0_66) | |
- **Point of Contact:** [Khaled Alomari](khaled.alomari@adu.ac.ae) | |
### 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](https://link.springer.com/chapter/10.1007/978-3-319-60042-0_66). | |
### 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](https://github.com/zaidalyafeai), [@lhoestq](https://github.com/lhoestq) for adding this dataset. |