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Dataset Card for ArCOV19
Dataset Summary
ArCOV-19 is an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 5th of May 2021. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes about 3.2M tweets alongside the propagation networks of the most-popular subset of them (i.e., most-retweeted and-liked). The propagation networks include both retweets and conversational threads (i.e., threads of replies). ArCOV-19 is designed to enable research under several domains including natural language processing, information retrieval, and social computing, among others. Preliminary analysis shows that ArCOV-19 captures rising discussions associated with the first reported cases of the disease as they appeared in the Arab world. In addition to the source tweets and the propagation networks, we also release the search queries and the language-independent crawler used to collect the tweets to encourage the curation of similar datasets.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Arabic
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
tweet_id: the Twitter assigned ID for the tweet object.
Data Splits
[More Information Needed]
Dataset Creation
The dataset collection approach is presented in the following paper: ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks
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
No annotation was provided with the dataset.
Annotation process
No annotation was provided with the dataset.
Who are the annotators?
No annotation was provided with the dataset.
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
Team: bigIR from Qatar University (@bigIR_group)
Licensing Information
[More Information Needed]
Citation Information
@article{haouari2020arcov19,
title={ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks},
author={Fatima Haouari and Maram Hasanain and Reem Suwaileh and Tamer Elsayed},
year={2021},
eprint={2004.05861},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Contributions
Thanks to @Fatima-Haouari for adding this dataset.
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