A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

<em><strong>NEW in Version 17: Besides our regular update, we now have included the tweet identifiers and their respective tweet location place country code for the clean version of the dataset. This is found on the clean_place_country.tar.gz file, each file is identified by the two-character ISO country code as the file suffix. </strong></em> <strong>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 </strong><em><strong>we</strong></em><strong> have included the tweet identifiers and their respective language for the clean version of the dataset. This is found on the clean_languages.tar.gz file, each file is identified by the two-character language code as the file suffix. </strong> <strong>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 (468,169,539 </strong><strong>unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (115,262,201 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 statistics-full_dataset.tsv and statistics-full_dataset-clean.tsv files. For more statistics and some visualizations visit: http://www.panacealab.org/covid19/ </strong> <strong>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) </strong> <strong>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. The need to be hydrated to be used. </strong>版本17新增内容：除常规更新外，本次我们新增了数据集清洁版的推文标识符（tweet identifiers）及其对应推文地点的国家代码（country code）。相关文件存储于clean_place_country.tar.gz压缩包中，所有文件均以两位字符的ISO国家代码作为文件名后缀。 鉴于新冠疫情（COVID-19）在全球范围内的相关性，我们发布了从Twitter数据流中采集的、与新冠相关讨论的推文数据集。自首次发布以来，我们新增了来自新合作方的更多数据，使本数据集规模得以扩充至当前体量。专门的数据采集工作始于3月11日，每日可获取超400万条推文。此外，我们还补充了新合作方提供的1月27日至3月27日期间的数据，以提供更完整的纵向覆盖范围。 版本10新增了约150万条俄语推文，采集时间为1月1日至5月8日，由卡特娅·阿尔捷莫娃（Katya Artemova，NRU HSE）和叶莲娜·图图巴利纳（Elena Tutubalina，KFU）慷慨提供。 自版本12起，我们在对应压缩包中新增了每日话题标签（hashtags）、提及（mentions）与表情符号（emojis）及其出现频率。 自版本14起，我们新增了数据集清洁版的推文标识符及其对应语言代码。相关文件存储于clean_languages.tar.gz压缩包中，所有文件均以两位字符的语言代码作为文件名后缀。 本数据流采集的推文涵盖所有语言，但占比更高的语种为英语、西班牙语与法语。我们在full_dataset.tsv文件中发布了全部推文与转发（retweets）内容（共计468,169,539条唯一推文），并在full_dataset-clean.tsv文件中发布了不含转发的清洁版数据集（共计115,262,201条唯一推文）。我们保留转发内容有多个实际原因，其中之一便是追踪重要推文及其传播路径。 针对自然语言处理（NLP）任务，我们提供了frequent_terms.csv文件中的前1000个高频词、frequent_bigrams.csv文件中的前1000个高频二元组，以及frequent_trigrams.csv文件中的前1000个高频三元组。两个数据集的每日通用统计数据分别存储于statistics-full_dataset.tsv与statistics-full_dataset-clean.tsv文件中。如需查看更多统计数据与可视化内容，请访问：http://www.panacealab.org/covid19/ 更多详细信息可在以下链接查阅（且更新速度更快：https://github.com/thepanacealab/covid19_twitter），同时我们还发布了关于本数据集的预印本论文（https://arxiv.org/abs/2004.03688）。 一如既往，根据Twitter的条款与条件，本页面分发的推文仅包含推文标识符（附带日期与时间信息），仅可用于研究目的重新分发Twitter数据。使用时需补全数据后方可正常调用。