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 attribute-value extraction and product matching tasks.
The normalized gold standard contains the standardized attribute value pairs as described below.
Variants: WDC-PAVE
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Attribute Value Extraction | GPT-4_10_example_values_&_10_demonstrations | Using LLMs for the Extraction … | 2024-03-04 |
| Attribute Value Extraction | GPT-3.5_10_example_values_&_10_demonstrations | Using LLMs for the Extraction … | 2024-03-04 |
| Attribute Value Extraction | AVEQA | Using LLMs for the Extraction … | 2024-03-04 |
| Attribute Value Extraction | MAVEQA | Using LLMs for the Extraction … | 2024-03-04 |
| Attribute Value Extraction | SU-OpenTag | Using LLMs for the Extraction … | 2024-03-04 |
Recent papers with results on this dataset: