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Temporal Relation Classification datasets

archive 2025-07-28

5 datasets carry the task tag "Temporal Relation Classification" (the task itself: Temporal Relation Classification), ordered by the archive's paper count. Page 1 of 1: 5 shown of 5. 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

Temporal Relation Classification datasets 1–5 of 5

MATRES (Multi-Axis Temporal RElations for Start-points)
This is the Multi-Axis Temporal RElations for Start-points (i.e., MATRES) dataset
16 papers · 2 benchmarks
2012 i2b2 Temporal Relations (2012 i2b2 Temporal Relations Corpus)
The Sixth Informatics for Integrating Biology and the Bedside (i2b2) Natural Language Processing Challenge for Clinical Records focused on the temporal relations in clinical narratives.
9 papers · 2 benchmarks
French TimeBank, a corpus for French annotated in ISO-TimeML.
6 papers · 1 benchmark
SupplyGraph (SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks)
Graph Neural Networks (GNNs) have gained traction across different domains such as transportation, bio-informatics, language processing, and computer vision.
3 papers · 0 benchmarks
Catalan TimeBank 1.0 was developed by researchers at Barcelona Media and consists of Catalan texts in the AnCora corpus annotated with temporal and event information according to the TimeML specification language.
2 papers · 1 benchmark

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.