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Event Detection datasets

archive 2025-07-28

14 datasets carry the task tag "Event Detection" (the task itself: Event Detection), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Event Detection datasets 1–14 of 14

Contains 4,480 Wikipedia documents, 118,732 event mention instances, and 168 event types.
66 papers · 0 benchmarks
ROAD (ROAD: The ROad event Awareness Dataset for Autonomous Driving)
ROAD is designed to test an autonomous vehicle's ability to detect road events, defined as triplets composed by an active agent, the action(s) it performs and the corresponding scene locations.
27 papers · 0 benchmarks
MAVEN-ERE is a dataset designed for event relation extraction tasks containing 103,193 event coreference chains, 1,216,217 temporal relations, 57,992 causal relations, and 15,841 subevent relations.
11 papers · 0 benchmarks
LEVEN (Legal Event Detection Dataset)
Overview LEVEN is the largest Legal Event Detection dataset as well as the largest Chinese Event Detection dataset.
7 papers · 0 benchmarks
The EDT dataset is designed for corporate event detection and text-based stock prediction (trading strategy) benchmark.
5 papers · 0 benchmarks
OSAI introduces OpenTTGames - an open dataset aimed at evaluation of different computer vision tasks in Table Tennis: ball detection, semantic segmentation of humans, table and scoreboard and fast in-game events spotting.
3 papers · 0 benchmarks
BIRDeep (BIRDeep_AudioAnnotations)
The BIRDeep Audio Annotations dataset is a collection of bird vocalizations from Doñana National Park, Spain.
1 paper · 0 benchmarks
BKEE (BKEE: Pioneering Event Extraction in the Vietnamese Language)
A novel event extraction dataset for Vietnamese.
1 paper · 0 benchmarks
Brazilian Protest is a dataset for event filtering that focuses on protests in multi-modal social media data, with most of the text in Portuguese.
1 paper · 0 benchmarks
S.
1 paper · 0 benchmarks
LEMONADE is a large, expert-annotated dataset for event extraction from news articles in 20 languages: English, Spanish, Arabic, French, Italian, Russian, German, Turkish, Burmese, Indonesian, Ukrainian, Korean, Portuguese, Dutch, Somali,…
1 paper · 0 benchmarks
MAVEN-Arg (MAVEN-Arguments)
MAVEN-Arg is an advanced event argument extraction dataset, which offers three main advantages: A comprehensive schema covering 162 event types and 612 argument roles, all with expert-written definitions and examples.
1 paper · 0 benchmarks
MUSIED is a large-scale Chinese event detection dataset based on user reviews, text conversations, and phone conversations in a leading e-commerce platform for food service, designed for event detection tasks.
1 paper · 0 benchmarks
SoccerNet-Echoes (SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset)
SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.