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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 132 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 (1,361,226,708 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (352,877,601 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 (15.6 GB)
Name Size
emojis.zip
md5:71f6d50f351188f97dc7f9658748bf5a
13.5 MB Download
frequent_bigrams.csv
md5:7c44bf07cd44a4b83d4fc58cb6a556ef
18.7 kB Download
frequent_terms.csv
md5:7705255b708cc2eb88409b15c560683e
11.1 kB Download
frequent_trigrams.csv
md5:53fef05801f78b217f4563a695966504
25.8 kB Download
full_dataset-statistics.tsv
md5:eb79c7dd890e16535b68cc6ce21ddbaa
18.3 kB Download
full_dataset.tsv.gz.part-aa
md5:1568f0019b0fd592aeed13b084e4ed7d
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:d042a982227b0b9d4bca8a443cd5fe68
954.7 MB Download
full_dataset_clean-statistics.tsv
md5:409e888b4651e29f6db2e833e90ff6ad
17.6 kB Download
full_dataset_clean.tsv.gz.part-aa
md5:7882a0c68c97f3e4d8871acd9f76d908
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
md5:58c38135ead85d7381bdf622a97594a8
166.2 MB Download
hashtags.zip
md5:2fe7c602e7dee6c14dfdeb985bd8186d
195.8 MB Download
mentions.zip
md5:63041dd2a28e814f86316cff47489ffb
325.8 MB Download
163,934
187,674
views
downloads
All versions This version
Views 163,934770
Downloads 187,674270
Data volume 283.7 TB184.2 GB
Unique views 128,083698
Unique downloads 37,85383

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