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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 150 of the dataset. MAJOR CHANGE NOTE: The dataset files: full_dataset.tsv.gz and full_dataset_clean.tsv.gz have been split in 1 GB parts using the Linux utility called Split. So make sure to join the parts before unzipping. We had to make this change as we had huge issues uploading files larger than 2GB's (hence the delay in the dataset releases). The peer-reviewed publication for this dataset has now been published  in Epidemiologia an MDPI journal, and can be accessed here: https://doi.org/10.3390/epidemiologia2030024. Please cite this when using the dataset.

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 (1,382,516,832 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (358,281,351 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 (15.9 GB)
Name Size
emojis.zip
md5:016a4025110089593a43e833a2d10673
14.5 MB Download
frequent_bigrams.csv
md5:69c72f717ec304ab6959c006be509ff3
18.6 kB Download
frequent_terms.csv
md5:8ee8c5b2384ce1a67d049108653f4528
11.2 kB Download
frequent_trigrams.csv
md5:b3903c492e4d48966346f411fe5476ca
25.9 kB Download
full_dataset-statistics.tsv
md5:39d36a5449cba0df8e99785cd396d480
20.5 kB Download
full_dataset.tsv.gz.part-aa
md5:7cd96c03b462fa1565172df85c4d1c12
1.1 GB Download
full_dataset.tsv.gz.part-ab
md5:fd1ff1613d8788b28b089e056537260e
1.1 GB Download
full_dataset.tsv.gz.part-ac
md5:d81418788e8ff43d193cb57c17d2d968
1.1 GB Download
full_dataset.tsv.gz.part-ad
md5:0b52698f94ad1aae76c8085a731b4404
1.1 GB Download
full_dataset.tsv.gz.part-ae
md5:b6bd17bf6d19a6231a18dc85f0720ef6
1.1 GB Download
full_dataset.tsv.gz.part-af
md5:72107f23843969a96c1291cc14e57c23
1.1 GB Download
full_dataset.tsv.gz.part-ag
md5:3876d43286e718e86e47fb86ebc9f647
1.1 GB Download
full_dataset.tsv.gz.part-ah
md5:a570c8240acbad68ed295d8253bd1400
1.1 GB Download
full_dataset.tsv.gz.part-ai
md5:725e4bd57e45cf42525224ff5fe642e3
1.1 GB Download
full_dataset.tsv.gz.part-aj
md5:9b394695b196566fcdd13f14ab2fd3f0
1.1 GB Download
full_dataset.tsv.gz.part-ak
md5:c5c8dc3df4d88cbe414db1882423a6e0
1.1 GB Download
full_dataset.tsv.gz.part-al
md5:79ef65a08a050bf38863d41a948486be
98.2 MB Download
full_dataset_clean-statistics.tsv
md5:99bfd2462d49f2c5a646871c6a373e86
19.7 kB Download
full_dataset_clean.tsv.gz.part-aa
md5:1f88d8c80c675a473822d2b696e89275
1.1 GB Download
full_dataset_clean.tsv.gz.part-ab
md5:222e3a9b3758c119db0a0e75c8f7d582
1.1 GB Download
full_dataset_clean.tsv.gz.part-ac
md5:b67f3a9ab518fb275b66eac4abc2e29c
1.1 GB Download
full_dataset_clean.tsv.gz.part-ad
md5:dcb7b77f2d7d77ef429c516b35de1847
226.9 MB Download
hashtags.zip
md5:c722102c552e27a18dad04f970510439
200.3 MB Download
mentions.zip
md5:4bf00de48a13fb1fc3fb9c261d3b7e20
335.0 MB Download
186,846
197,510
views
downloads
All versions This version
Views 186,846971
Downloads 197,510355
Data volume 290.6 TB239.8 GB
Unique views 148,102886
Unique downloads 41,301124

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