Disasters on Social Media (Figure Eight; Kaggle Disaster Tweets)
Disasters on Social Media from CrowdFlower (Figure Eight): 10,876 tweets that the publisher says were culled with searches for words such as 'ablaze', 'quarantine' and 'pandemonium', each judged by contributors on whether it refers to a disaster event (as opposed to a joke, a film review or something non-disastrous). Judgments: 6,187 Not Relevant, 4,673 Relevant, 16 Can't Decide. Each row has the crowd job's unit ID, the judgment and its confidence, the search keyword (221 distinct), the author's free-text location, the tweet text, and two number columns named tweetid and userid. The package also holds two files from the folder named kaggle-nlp-getting-started as their own tables: train.csv (7,613 rows with a 0/1 target) and test.csv (3,263 rows without one).
Cite this dataset at
disaster-tweets.echo.directory
Analytics
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- Not Relevant6.2K (56.9%)
- Relevant4.7K (43.0%)
- Can't Decide16 (0.1%)
Computed over the full corpus.
Record
- Catalog key
disaster-tweets- Authors
- CrowdFlower
- Year
- 2015
- Source paper
- Disasters on social media
- License
- CC BY 4.0 (Figure Eight 'Data for Everyone' library) (CC-BY-4.0)
- Records
- 10,876
- Nodes are
- unknown
- Edges are
- unknown
- Text corpus
- tweet text
- Languages
- en
- Tasks
- Text classification (multi-class;
relevant_label) inferred - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://www.kaggle.com/datasets/jannesklaas/disasters-on-social-media link checked
- Original files as received
- The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-20, 3.4 MB across 3 files. Checksums in MANIFEST.json. For use, start with the data package below.
- Data package
- Version 1.0.0 of this dataset as an ECHO Data Package: posts (10,876 rows), annotations (10,876 rows), x_kaggle_train (7,613 rows), x_kaggle_test (3,263 rows).
- Structure
- Labelled data, Text
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@misc{crowdflower2015disastersons,
title = {Disasters on social media},
author = {CrowdFlower},
year = {2015},
note = {Data for Everyone library, added 2015-09-04},
howpublished = {\url{https://www.figure-eight.com/data-for-everyone/}}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
CrowdFlower (2015). Disasters on Social Media (Figure Eight; Kaggle Disaster Tweets) [Data set]. https://disaster-tweets.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
CrowdFlower. Disasters on Social Media (Figure Eight; Kaggle Disaster Tweets). 2015, disaster-tweets.echo.directory/.