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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 122 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 (1,346,993,992 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (348,898,436 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 (15.4 GB)
Name Size
emojis.zip
md5:beb48ae2466026778eb97ba16384f72f
13.0 MB Download
frequent_bigrams.csv
md5:648b19fd57327f61e22787dbb5e6ae6e
17.9 kB Download
frequent_terms.csv
md5:57b90993765970058b4647214b723748
11.4 kB Download
frequent_trigrams.csv
md5:68fc3bb17d9d07a88c307509285f92e3
25.0 kB Download
full_dataset-statistics.tsv
md5:aa8d83d4799b42cac82b30a1913d2d79
17.0 kB Download
full_dataset.tsv.gz.part-aa
md5:c78e59fc82f504717bc4613700fe39c7
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
md5:0a5efbd25bdf15651fe8578efc1c399e
824.4 MB Download
full_dataset_clean-statistics.tsv
md5:ae1815a62d7fd0215a107a05286d4075
16.4 kB Download
full_dataset_clean.tsv.gz.part-aa
md5:84691f89d0a9b748b5e7d02e3362992b
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
md5:55df0496c95c6fcc5646cb63233beea7
126.7 MB Download
hashtags.zip
md5:e2834083b91c6934a169465591bf7f1c
192.8 MB Download
mentions.zip
md5:4fb70d66e317d722c242e79d5fba1f8b
320.7 MB Download
157,003
183,115
views
downloads
All versions This version
Views 157,003745
Downloads 183,115432
Data volume 280.1 TB290.7 GB
Unique views 122,639653
Unique downloads 36,621123

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