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.
It is a large, multi-sourced, diverse dataset for product attribute extraction study.
Variants: MAVE
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Attribute Mining | T5 Large - End2End | An Empirical Comparison of Generative … | 2024-07-01 |
| Attribute Value Extraction | MAVEQA | MAVE: A Product Dataset for … | 2021-12-16 |
| Attribute Value Extraction | AVEQA | MAVE: A Product Dataset for … | 2021-12-16 |
| Attribute Value Extraction | AD-Opentag | MAVE: A Product Dataset for … | 2021-12-16 |
Recent papers with results on this dataset: