Task Categories: other
Languages: ar
Multilinguality: monolingual
Size Categories: 1M<n<10M
Language Creators: found
Annotations Creators: no-annotation
Source Datasets: original
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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 30th of April 2020. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes over 1M 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]



Dataset Structure

Data Instances

[More Information Needed]

Data Fields

tweet_id: the Twitter assigned ID for the tweet object.

Data Splits

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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]


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}, journal={arXiv preprint arXiv:2004.05861}, year={2020} }


Thanks to @Fatima-Haouari for adding this dataset.

Update on GitHub
Papers with Code