DiPD: Disruptive Event Prediction Dataset
DiPD (Disruptive Event Prediction Dataset): tweets from November 2021 (timestamps from 4 to 23 November 2021) about known disruptive events such as protests, riots and climate strikes (label 1) and tweets not about such events (label 0), each in a raw and a preprocessed version (event-preprocessed (94,855), event-raw (94,855), non-event-preprocessed (168,706), non-event-raw (168,706)), with the author's screen name, profile location, follower, retweet and tweet counts. By Sanskar Soni, Dev Mehta, Vinush Vishwanath, Aditi Seetha and Satyendra Singh Chouhan (arXiv 2111.15629).
Cite this dataset at
dipd-disruptive-events.echo.directory
Analytics
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Show all 41 topics
Topic 12
Topic 13
Topic 14
Topic 15
Topic 16
Topic 17
Topic 18
Topic 19
Topic 20
Topic 21
Topic 22
Topic 23
Topic 24
Topic 25
Topic 26
Topic 27
Topic 28
Topic 29
Topic 30
Topic 31
Topic 32
Topic 33
Topic 34
Topic 35
Topic 36
Topic 37
Topic 38
Topic 39
Topic 40
Computed over the full corpus.
Record
- Catalog key
dipd- Authors
- Soni, Sanskar; Mehta, Dev; Vishwanath, Vinush; Seetha, Aditi; Chouhan, Satyendra Singh
- Year
- 2021
- Source paper
- DiPD: Disruptive event Prediction Dataset from Twitter
- DOI / arXiv
- 10.48550/arXiv.2111.15629
- License
- Unknown — GitHub repository, check repo for terms
- Records
- 263,561
- Text corpus
- tweet text
- Languages
- en
- Collected
- 2021 (2020s)
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://github.com/devmehta01/DiPD link checked
- Original files as received
- The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-09, 104.7 MB across 5 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 (527,122 rows), annotations (527,122 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{https://doi.org/10.48550/arxiv.2111.15629,
doi = {10.48550/ARXIV.2111.15629},
url = {https://arxiv.org/abs/2111.15629},
author = {Soni, Sanskar and Mehta, Dev and Vishwanath, Vinush and Seetha, Aditi and Chouhan, Satyendra Singh},
keywords = {Social and Information Networks (cs.SI), Computation and Language (cs.CL), Information Retrieval (cs.IR), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {DiPD: Disruptive event Prediction Dataset from Twitter},
publisher = {arXiv},
year = {2021},
copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Soni, S., Mehta, D., Vishwanath, V., Seetha, A., & Chouhan, S. S. (2021). DiPD: Disruptive Event Prediction Dataset [Data set]. https://doi.org/10.48550/arXiv.2111.15629
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Soni, Sanskar, et al. DiPD: Disruptive Event Prediction Dataset. 2021, doi.org/10.48550/arXiv.2111.15629.
