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@ -3,6 +3,8 @@ awesome-twitter-data
A list of Twitter datasets and related resources. If you have a resource to add to the list, feel free to open a pull request, or email me at `shay.palachy@gmail.com <shay.palachy@gmail.com>`_.
The license, when known, is given in {curly brackets}. Dataset size is given in [square brackets] when available.
.. contents:: Table of Contents
@ -13,42 +15,42 @@ Twitter Datasets
================
Unlabelled
----------
Tweet datasets
--------------
* `News Tweets <https://github.com/vered1986/Chirps/>`_ {`Apache License 2.0`_} - Updated daily. used in the paper `"Acquiring Predicate Paraphrases from News Tweets" <http://aclweb.org/anthology/S/S17/S17-1019.pdf>`_ by Vered Shwartz, Gabriel Stanovsky and Ido Dagan.
* `Twitter Event Detection Dataset <http://mir.dcs.gla.ac.uk/resources/>`_ {?} [120m] - A collection of 120 million tweets, with relevance judgements for over 500 events.
* `MovieTweetings <https://github.com/sidooms/MovieTweetings>`_ {`MIT`_} - A live movie rating dataset collected from Twitter.
* `Chirps <https://github.com/vered1986/Chirps/>`_ {`Apache License 2.0`_} [9m] - News-related tweets. Updated daily. Used in the paper `"Acquiring Predicate Paraphrases from News Tweets" <http://aclweb.org/anthology/S/S17/S17-1019.pdf>`_ by Vered Shwartz, Gabriel Stanovsky and Ido Dagan.
* `Twitter User Sample (Tweets Loud and Quiet) <https://github.com/jonbruner/twitter-analysis>`_ {`MPL 2.0`_} - Metadata of ~400,000 Twitter accounts, scraped between September 17, 2013, and October 19, 2013, as part of the work on the `"Tweets loud and quiet" article <https://www.oreilly.com/ideas/tweets-loud-and-quiet>`_.
* `3 million Russian troll tweets <https://github.com/fivethirtyeight/russian-troll-tweets/>`_ {?} [3m] - Released by 538.
* `Twitter Event Detection Dataset <http://mir.dcs.gla.ac.uk/resources/>`_ - A collection of 120 million tweets, with relevance judgements for over 500 events.
* `MovieTweetings <https://github.com/sidooms/MovieTweetings>`_ {`MIT`_} [725k] - A live movie rating dataset collected from Twitter.
* `3 million Russian troll tweets <https://github.com/fivethirtyeight/russian-troll-tweets/>`_ - Released by 538.
* `350k MeToo tweets <https://data.world/rdeeds/350k-metoo-tweets>`_ {?} [350k]
* `Elon Musk Tweets-Until 4/6/17 <https://data.world/adamhelsinger/elon-musk-tweets-until-4-6-17>`_
* `2015 New Year's Resolutions <https://data.world/crowdflower/2015-new-years-resolutions>`_
* `350k MeToo tweets <https://data.world/rdeeds/350k-metoo-tweets>`_
* `Trump Tweets, 5/4/09 - 12/5/16 <https://data.world/lovesdata/trump-tweets-5-4-09-12-5-16>`_
Labelled
--------
Tweets datasets (labelled)
--------------------------
* `Weather-sentiment <https://data.world/crowdflower/weather-sentiment>`_
Social Graph Only
-----------------
User datasets
-------------
* `ego-twitter <http://snap.stanford.edu/data/ego-Twitter.html>`_ - 80K nodes and 1.7 million edges.
* `Max Plank Institute's Twitter Dataset <http://twitter.mpi-sws.org/>`_ {?} [55m] - **The social graph component only of the following dataset:** 54,981,152 user accounts; 1,963,263,821 social (follow) links. 1,755,925,520 tweets.
* `Twitter Social Graph <http://an.kaist.ac.kr/traces/WWW2010.html>`_ {?} - From the `"What is Twitter, a Social Network or a News Media?" paper <http://an.kaist.ac.kr/traces/WWW2010.html>`_.
* `Twitter Social Graph <http://an.kaist.ac.kr/traces/WWW2010.html>`_ {?} [41m] - From the `"What is Twitter, a Social Network or a News Media?" paper <http://an.kaist.ac.kr/traces/WWW2010.html>`_.
* `Max Plank Institute's Twitter Dataset <http://twitter.mpi-sws.org/>`_ - **The social graph component only of the following dataset:** 54,981,152 user accounts; 1,963,263,821 social (follow) links. 1,755,925,520 tweets.
* `Twitter User Sample (Tweets Loud and Quiet) <https://github.com/jonbruner/twitter-analysis>`_ {`MPL 2.0`_} [400k] - Metadata of ~400,000 Twitter accounts, scraped between September 17, 2013, and October 19, 2013, as part of the work on the `"Tweets loud and quiet" article <https://www.oreilly.com/ideas/tweets-loud-and-quiet>`_.
* `ego-twitter <http://snap.stanford.edu/data/ego-Twitter.html>`_ [80k] - 80K nodes and 1.7 million edges.
Lost Datasets