Datasets:

Tasks:
Other
Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
1M<n<10M
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
ArXiv:
Tags:
data-mining
albertvillanova HF staff commited on
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Update metadata dates in dataset card

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@@ -67,7 +67,15 @@ dataset_info:
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  ### Dataset Summary
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- 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.
 
 
 
 
 
 
 
 
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  ### Supported Tasks and Leaderboards
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@@ -155,12 +163,16 @@ No annotation was provided with the dataset.
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  ### Citation Information
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  @article{haouari2020arcov19,
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- title={ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks},
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- author={Fatima Haouari and Maram Hasanain and Reem Suwaileh and Tamer Elsayed},
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- journal={arXiv preprint arXiv:2004.05861},
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- year={2020}
 
 
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  }
 
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  ### Contributions
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  ### Dataset Summary
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+ ArCOV-19 is an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 5th of May 2021.
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+ ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes about 3.2M
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+ tweets alongside the propagation networks of the most-popular subset of them (i.e., most-retweeted and-liked).
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+ The propagation networks include both retweets and conversational threads (i.e., threads of replies).
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+ ArCOV-19 is designed to enable research under several domains including natural language processing, information
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+ retrieval, and social computing, among others. Preliminary analysis shows that ArCOV-19 captures rising discussions
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+ associated with the first reported cases of the disease as they appeared in the Arab world. In addition to the source
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+ tweets and the propagation networks, we also release the search queries and the language-independent crawler used to
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+ collect the tweets to encourage the curation of similar datasets.
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  ### Supported Tasks and Leaderboards
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  ### Citation Information
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+ ```
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  @article{haouari2020arcov19,
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+ title={ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks},
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+ author={Fatima Haouari and Maram Hasanain and Reem Suwaileh and Tamer Elsayed},
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+ year={2021},
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+ eprint={2004.05861},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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  }
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+ ```
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  ### Contributions
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