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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 123 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 (1,350,042,159 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (349,787,146 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 (15.5 GB)
Name Size
emojis.zip
md5:696ad54c807e1b864e08c13de7d11fc9
13.0 MB Download
frequent_bigrams.csv
md5:5f62f17ba3c8071edfa82b424f85d56c
17.8 kB Download
frequent_terms.csv
md5:c201475157c63b1c48809927cd25e083
11.5 kB Download
frequent_trigrams.csv
md5:aaeb4e5fd4016cd4de30fcd7a074fd23
24.7 kB Download
full_dataset-statistics.tsv
md5:0b2450afcfc810967e3b904960cb3049
17.1 kB Download
full_dataset.tsv.gz.part-aa
md5:4a3f6651617876d35c77be5f24df5b8c
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
md5:3e6e52de4cccd19c3fa87fa56ae10d67
840.3 MB Download
full_dataset_clean-statistics.tsv
md5:7a14b044d7d49b324ffbd0d4de5e56e3
16.5 kB Download
full_dataset_clean.tsv.gz.part-aa
md5:75aa00ef4b752318c53bb30de4411081
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:ff484582b7ebed8e45fa62b586720a70
131.7 MB Download
hashtags.zip
md5:f3e53609b4e4369e3cce246d04862d7a
193.2 MB Download
mentions.zip
md5:b7af219b04261dbf63dde68db5aa4ff9
321.3 MB Download
157,003
183,115
views
downloads
All versions This version
Views 157,0031,014
Downloads 183,115397
Data volume 280.1 TB267.1 GB
Unique views 122,639890
Unique downloads 36,621162

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