Datasets:
Tasks:
Text Classification
Sub-tasks:
fact-checking
Languages:
Arabic
Size:
1K<n<10K
ArXiv:
Tags:
stance-detection
License:
annotations_creators: | |
- crowdsourced | |
language_creators: | |
- found | |
language: | |
- ar | |
license: | |
- apache-2.0 | |
multilinguality: | |
- monolingual | |
pretty_name: ans-stance | |
size_categories: | |
- 1K<n<10K | |
source_datasets: | |
- original | |
task_categories: | |
- text-classification | |
task_ids: | |
- fact-checking | |
- text-classification-other-stance-detection | |
# Dataset Card for AraStance | |
## Table of Contents | |
- [Table of Contents](#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 | |
- **Repository:** [https://github.com/latynt/ans](https://github.com/latynt/ans) | |
- **Paper:** [https://arxiv.org/abs/2005.10410](https://arxiv.org/abs/2005.10410) | |
- **Point of Contact:** [Jude Khouja]([email protected]) | |
### Dataset Summary | |
The dataset is a collection of news titles in arabic along with paraphrased and corrupted titles. The stance prediction version is a 3-class classification task. Data contains three columns: s1, s2, stance. | |
### Languages | |
Arabic | |
## Dataset Structure | |
### Data Instances | |
An example of 'train' looks as follows: | |
``` | |
{ | |
'id': '0', | |
's1': 'هجوم صاروخي يستهدف مطار في طرابلس ويجبر ليبيا على تغيير مسار الرحلات الجوية', | |
's2': 'هدوء الاشتباكات فى طرابلس', | |
'stance': 0 | |
} | |
``` | |
### Data Fields | |
- `id`: a 'string' feature. | |
- `s1`: a 'string' expressing a claim/topic. | |
- `s2`: a 'string' to be classified for its stance to the source. | |
- `stance`: a class label representing the stance the article expresses towards the claim. Full tagset with indices: | |
``` | |
0: "disagree", | |
1: "agree", | |
2: "other", | |
``` | |
### Data Splits | |
|name|instances| | |
|----|----:| | |
|train|2652| | |
|validation|755| | |
|test|379| | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### 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 | |
### Social Impact of Dataset | |
[More Information Needed] | |
### Discussion of Biases | |
[More Information Needed] | |
### Other Known Limitations | |
[More Information Needed] | |
## Additional Information | |
### Dataset Curators | |
The dataset is curated by the paper's authors | |
### Licensing Information | |
The authors distribute this data under the Apache License, Version 2.0 | |
### Citation Information | |
``` | |
@inproceedings{, | |
title = "Stance Prediction and Claim Verification: An {A}rabic Perspective", | |
author = "Khouja, Jude", | |
booktitle = "Proceedings of the Third Workshop on Fact Extraction and {VER}ification ({FEVER})", | |
year = "2020", | |
address = "Seattle, USA", | |
publisher = "Association for Computational Linguistics", | |
} | |
``` | |
### Contributions | |
Thanks to [mkonxd](https://github.com/mkonxd) for adding this dataset. |