The MSLR-WEB30K dataset consists of 30,000 search queries over the documents from search results. The data also contains the values of 136 features and a corresponding user-labeled relevance factor on a scale of one to five with respect to each query-document pair.
Variants: MSLR-WEB30K
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Information Retrieval | Distilled Network | Distilled Neural Networks for Efficient … | 2022-02-22 |
Recent papers with results on this dataset: