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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 112 of the dataset. MAJOR CHANGE NOTE: The main dataset file: full_dataset.tsv.gz has been split in 4 parts using the Linux utility called Split. So make sure to join the four parts before unzipping. We had to make this change as we had huge issues uploading the single 11GB + file (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 (1,334,215,300 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (344,876,329 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 (15.2 GB)
Name Size
emojis.zip
md5:0b2126946dc20edbbb5ddc5b08a258e1
12.4 MB Download
frequent_bigrams.csv
md5:8d6c3edb3706339c7dcdc0b4c8344f9c
18.0 kB Download
frequent_terms.csv
md5:cd84a63645a192facdb66c9d3cfb7cf0
11.7 kB Download
frequent_trigrams.csv
md5:118d396fd29e22858c3318e2db67dd16
24.9 kB Download
full_dataset-statistics.tsv
md5:a1676427aee0353e6aa7728b6252eacc
15.8 kB Download
full_dataset.tsv.gz.part-aa
md5:00ae609d3e55e5418ba652d53a8f816c
3.2 GB Download
full_dataset.tsv.gz.part-ab
md5:51e7337d32f4a311e51b51f7c6bbb484
3.2 GB Download
full_dataset.tsv.gz.part-ac
md5:0dc0b31b28e62e7ff92b779da6c4e8ab
3.2 GB Download
full_dataset.tsv.gz.part-ad
md5:a91267521e09e0fbd2538dca41dc0679
1.8 GB Download
full_dataset_clean-statistics.tsv
md5:187f8e85715dc4ff651b49ab6fe77b90
15.2 kB Download
full_dataset_clean.tsv.gz
md5:a35e17d87d970113ae3097250d64a902
3.3 GB Download
hashtags.zip
md5:9138b2ea5e81d9bb8a4d3d740efa10c0
189.1 MB Download
mentions.zip
md5:fb8afdbaa4e5b45fc593dd5d5496023c
314.6 MB Download
149,648
179,418
views
downloads
All versions This version
Views 149,648493
Downloads 179,418243
Data volume 277.2 TB324.4 GB
Unique views 116,749425
Unique downloads 35,186105

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