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Attribute Value Extraction datasets

archive 2025-07-28

6 datasets carry the task tag "Attribute Value Extraction" (the task itself: Attribute Value Extraction), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. 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

Attribute Value Extraction datasets 1–6 of 6

MAVE (MAVE: : A Product Dataset for Multi-source Attribute Value Extraction)
The dataset contains 3 million attribute-value annotations across 1257 unique categories created from 2.2 million cleaned Amazon product profiles.
14 papers · 2 benchmarks
AE-110k (AliExpress - 110k)
The dataset contains product information from AliExpress Sports & Entertainment category.
12 papers · 2 benchmarks
The dataset contains Amazon products from 10 product categories with full human annotations.
3 papers · 2 benchmarks
WDC-PAVE (Web Data Commones - Product Attribute Value Extraction)
The datasets contains 1,420 human annotated product offers, systematically selected from the Web Data Commons Product Matching Corpus, featuring 24,582 annotated attribute-value pairs, making it a valuable resource for both product…
2 papers · 1 benchmark
Caselaw4 is a dataset of 350k common law judicial decisions from the U.S.
1 paper · 0 benchmarks
MAVE - Attribute: Black Tea Variety (MAVE - Attribute: Black Tea Variety: A Product Dataset for Multi-source Attribute Value Extraction)
The dataset contains 3 million attribute-value annotations across 1257 unique categories created from 2.2 million cleaned Amazon product profiles.
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.