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Dataset Open Access

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Banda, Juan M.; Tekumalla, Ramya; Wang, Guanyu; Yu, Jingyuan; Liu, Tuo; Ding, Yuning; Artemova, Katya; Tutubalina, Elena; Chowell, Gerardo

NEW in Version 14: Besides our regular update, we now have included the tweet identifiers and their respective language for the clean version of the dataset. This is found on the clean_languages.tar.gz file, each file is identified by the two-character language code as the file suffix. 

Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. Since our first release we have received additional data from our new collaborators, allowing this resource to grow to its current size. Dedicated data gathering started from March 11th yielding over 4 million tweets a day. We have added additional data provided by our new collaborators from January 27th to March 27th, to provide extra longitudinal coverage. Version 10 added ~1.5 million tweets in the Russian language collected between January 1st and May 8th, gracefully provided to us by: Katya Artemova (NRU HSE) and Elena Tutubalina (KFU). From version 12 we have included daily hashtags, mentions and emoijis and their frequencies the respective zip files.

The data collected from the stream captures all languages, but the higher prevalence are:  English, Spanish, and French. We release all tweets and retweets on the full_dataset.tsv file (403,293,667 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (99,138,198 unique tweets). There are several practical reasons for us to leave the retweets, tracing important tweets and their dissemination is one of them. For NLP tasks we provide the top 1000 frequent terms in frequent_terms.csv, the top 1000 bigrams in frequent_bigrams.csv, and the top 1000 trigrams in frequent_trigrams.csv. Some general statistics per day are included for both datasets in the statistics-full_dataset.tsv and statistics-full_dataset-clean.tsv files. For more statistics and some visualizations visit: http://www.panacealab.org/covid19/ 

More details can be found (and will be updated faster at: https://github.com/thepanacealab/covid19_twitter) and our pre-print about the dataset (https://arxiv.org/abs/2004.03688

As always, the tweets distributed here are only tweet identifiers (with date and time added) due to the terms and conditions of Twitter to re-distribute Twitter data ONLY for research purposes. The need to be hydrated to be used.

This dataset will be updated bi-weekly at least with additional tweets, look at the github repo for these updates. Release: We have standardized the name of the resource to match our pre-print manuscript and to not have to update it every week.
Files (4.7 GB)
Name Size
clean_languages.tar.gz
md5:d1decc67951b36c0359b5cc8f45bd7e4
917.0 MB Download
emoji.zip
md5:b58ce8bd14d7efd0aa784d0eabbac21a
2.4 MB Download
frequent_bigrams.csv
md5:883c02e0b8d93f3de491458b689f0e1d
20.4 kB Download
frequent_terms.csv
md5:bad2a2f1666619a0ae8bdcac68ec5430
13.4 kB Download
frequent_trigrams.csv
md5:0f2b99ed9862e496fbbe0513a01feb55
26.2 kB Download
full_dataset-statistics.tsv
md5:bcd7cfa60aa8d0663ec8c58f8fe1c7d5
3.0 kB Download
full_dataset.tsv.gz
md5:2bc846064b437d9c395f865f130a42f9
2.9 GB Download
full_dataset_clean-statistics.tsv
md5:cc7680bdffc7c0834d5245dd231655cd
2.9 kB Download
full_dataset_clean.tsv.gz
md5:b193712cdbed5076f3e45c1a6381a699
771.3 MB Download
hashtags.zip
md5:3c7c9bdb232df869e18f3a9b8cca7a4a
47.9 MB Download
mentions.zip
md5:f5b85ecb50e4d6a8d720aaa5c2019598
87.0 MB Download
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All versions This version
Views 22,077494
Downloads 20,718346
Data volume 12.6 TB395.1 GB
Unique views 16,688407
Unique downloads 7,149157

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