Datasets › MAVE

MAVE (MAVE: : A Product Dataset for Multi-source Attribute Value Extraction)

Introduced by Li Yang et al. in MAVE: A Product Dataset for Multi-source Attribute Value Extraction16 Dec 2021 archive 2025-07-28

The dataset contains 3 million attribute-value annotations across 1257 unique categories created from 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Attribute Value Extraction MAVE MAVEQA F1-score 98.32 MAVE: A Product Dataset for Multi-source Attribute Value... google-research-datasets/mave 3 Compare
Attribute Mining MAVE T5 Large - End2End F1-score 95.19 An Empirical Comparison of Generative Approaches for... — 1 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 14. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Attribution-NonCommercial 4.0 International

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MAVE

1 variant name, as the archive lists them.

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