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).

#Bitcoin#Cryptocurrency#Event detection#Market disruption

Download data package README Original files as received BibTeX JSONSimilar datasets

Analytics

9.5
Flesch–Kincaid grade
US school grade level
11.7
Automated readability index
Frequent terms
rittenhousekylelikedaypeoplediwalidontimenewchangegoodzomatoschooltodayknowclimatephonechargerblackpizzametooneedmusicwantlovepastathinkteachersgotbottlegymlgbtrightmoviesworkoutswiggy_ingoingfruitsnasascienceyeardecorationwaygreenbestjusticeforpontharanistockspassworldblm
Topic clusters

Topic 0

diwali
cracker
celebrate
cricket
pollution
india
australia
delhi

Topic 1

workout
gym
fitness
like
exercise
weight
morning
time

Topic 2

teacher
school
day
student
teachers
kid
class
parent

Topic 3

movie
marvel
anime
watch
pokemon
game
pokémon
movies

Topic 4

climate
change
energy
policy
climatechange
global
reduce
leader

Topic 5

stock
bitcoin
market
crypto
stockmarket
buy
price
trading

Topic 6

charger
phone
charge
battery
usb
car
cable
iphone

Topic 7

decoration
christmas
gift
etsy
clothe
decor
tree
home

Topic 8

babrimasjidvictimofinjustice
maharashtrariots
masjid
uapa
tripura
bjp
maharashtra
injustice

Topic 9

pasta
cook
eat
sauce
cooking
shrimp
chicken
dinner

Topic 10

justiceforpontharani
justice
wedemandjusticeforaltaaf
coimbatore
police
action
punishment
altaf

Topic 11

bottle
message
coffee
beer
drink
water
wine
night
Show all 41 topics

Topic 12

mother
day
friend
sweet
good
morning
love
happy

Topic 13

pizza
eat
hut
slice
pineapple
cheese
night
want

Topic 14

kpop
stan
bts
idol
group
like
artist
seventeen

Topic 15

kyle
rittenhouse
defense
self
verdict
trial
shoot
gun

Topic 16

swiggy
order
delivery
customer
food
refund
deliver
service

Topic 17

metoo
woman
sexual
movement
man
assault
victim
rape

Topic 18

phone
laptop
screen
mobile
dey
number
use
repair

Topic 19

lgbt
lgbtq
gay
pride
trans
queer
romance
lgbtqia

Topic 20

nasa
asteroid
galaxy
space
mission
launch
dart
spacex

Topic 21

kyle
rittenhouse
white
hero
supremacist
people
black
darrell

Topic 22

fruit
vegetable
mix
basket
fruits
pineapple
strawberry
banana

Topic 23

violin
play
piano
music
concerto
song
flute
love

Topic 24

music
guitar
listen
song
nowplaying
radio
play
newmusic

Topic 25

football
tennis
green
pass
play
game
player
ball

Topic 26

mango
flavor
peach
pie
juice
powder
fruit
lime

Topic 27

animal
right
rights
human
vegan
activist
shared
lincoln

Topic 28

farmer
farmersprotest
protest
govt
bjp
modi
law
farm

Topic 29

pass
green
rotterdam
vaccine
rotterdamprotest
italy
covid
rotterdamprot

Topic 30

nrf
taliban
afghanistan
resistance
freeafghanistan
support
afghan
recognize

Topic 31

youtube
game
twitch
gaming
cod
video
stream
lgbt

Topic 32

meme
instagram
facebook
tweet
twitter
contest
delete
account

Topic 33

chennai
chennairains
chennairain
rain
tamilnadu
water
subway
flood

Topic 34

taylor
swift
sheeran
chan
song
album
version
red

Topic 35

zomato
loss
startup
nykaa
widen
invest
ipo
crore

Topic 36

blm
mayor
black
crime
adams
riot
eric
matter

Topic 37

kashmirbleeds
kashmir
khan
kashmiri
terrorist
pandits
killing
attack

Topic 38

china
metoo
shuai
tennis
chinese
whereispengshuai
pengshuai
ccp

Topic 39

matter
black
life
live
lives
movement
blacklivesmatter
equality

Topic 40

bill
gates
vaccine
pandemic
science
covid
gate
medicine
Top hashtags
#metoo6.9K
#lgbt5K
#justiceforpontharani4.7K
#blm3K
#babrimasjidvictimofinjustice2.2K
#violence1.7K
#kashmirbleeds1.7K
#farmersprotest1.6K
#stocks1.5K
#maharashtrariots1.3K
#chennairains1.3K
#diwali1.3K
#lgbtq1.2K
#zomato1.1K
#bitcoin928
#wedemandjusticeforaltaaf913
#nrf899
#python841
#uapa809
#petroldieselpricehike757
Top emoji
😂7.4K
😭6.6K
🤣4.3K
🙏3.2K
🔥3.1K
🚀3.1K
🏻1.7K
😍1.5K
🥺1.5K
💔1.4K
👉1.4K
👍1.4K
👇1.3K
👏1.2K
🤔1.1K

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.

BibTeX · RIS · CSL-JSON

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