Datasets › NAIST COVID

NAIST COVID

Introduced by Zhiwei Gao et al. in NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset archive 2025-07-28

NAIST COVID is a multilingual dataset of social media posts related to COVID-19, consisting of microblogs in English and Japanese from Twitter and those in Chinese from Weibo. The data cover microblogs from January 20, 2020, to March 24, 2020.

Source: NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

Variants archive 2025-07-28

  • NAIST COVID

1 variant name, as the archive lists them.

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