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Complex Query Answering datasets

archive 2025-07-28

5 datasets carry the task tag "Complex Query Answering" (the task itself: Complex Query Answering), 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

Complex Query Answering datasets 1–5 of 5

FB15k (Freebase 15K)
The FB15k dataset contains knowledge base relation triples and textual mentions of Freebase entity pairs.
641 papers · 6 benchmarks
FB15k-237 is a link prediction dataset created from FB15k.
452 papers · 3 benchmarks
NELL (Never Ending Language Learning)
NELL is a dataset built from the Web via an intelligent agent called Never-Ending Language Learner.
177 papers · 2 benchmarks
NELL-995 KG Completion Dataset
127 papers · 2 benchmarks
Genre2Movies (Compositional queries for Movie recommendation)
Genre annotations for movies The file genre2movies.csv contains genre-movie tuples based on Wikidata annotations (https://www.wikidata.org/).
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.