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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

Version 22 of the dataset, we have refactored the full_dataset.tsv and full_dataset_clean.tsv files (since version 20) to include two additional columns: language and place country code (when available). This change now includes language and country code for ALL the tweets in the dataset, not only clean tweets. With this change we have removed the clean_place_country.tar.gz and clean_languages.tar.gz files. With our refactoring of the dataset generating code we also found a small bug that made some of the retweets not be counted properly, hence the extra increase on tweets available. 

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. From version 14 we have included the tweet identifiers and their respective language for the clean version of the dataset. Since version 20 we have included language and place location for all tweets.

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 (602,921,788 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (142,360,288 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 full_dataset-statistics.tsv and full_dataset-clean-statistics.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. They 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 (6.4 GB)
Name Size
emoji.zip
md5:463fd6775ce82a7c9c8324632d3a5882
3.4 MB Download
frequent_bigrams.csv
md5:36008fb1d55c9adf4fdca0c4d81b717c
18.8 kB Download
frequent_terms.csv
md5:8e3e1725bc5cfbe6d33b57771fe90189
12.2 kB Download
frequent_trigrams.csv
md5:38cc365e87aad0b20b4a6b0be403332f
25.0 kB Download
full_dataset-statistics.tsv
md5:bb1d90670fd97caf5e39e48abd64fbea
4.1 kB Download
full_dataset.tsv.gz
md5:f7f45ccab9f42a2c7fc19a76dc002392
4.9 GB Download
full_dataset_clean-statistics.tsv
md5:5b644a23d8e108ffa522e048b2d62c8f
3.9 kB Download
full_dataset_clean.tsv.gz
md5:7ca39f6120c667301e1441d18e8350b4
1.3 GB Download
hashtags.zip
md5:cc750def36d422057098576025dd687c
71.5 MB Download
mentions.zip
md5:26c8e246eb84da1a5aa5a6bf36222f7c
126.1 MB Download
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Unique views 27,466469
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