sentence-transformers/msmarco-scores-ms-marco-MiniLM-L6-v2
MS MARCO query-passage scores using cross-encoder/ms-marco-MiniLM-L6-v2 MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine. This dataset contains 160 million CrossEncoder scores on the MS MARCO dataset, using the cross-encoder/ms-marco-MiniLM-L6-v2 model. The scores are unprocessed logits, i.e. they don't range between 0...1, and they can be used for finetuning search models using distillation.… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-scores-ms
| Author / organization | sentence-transformers |
|---|---|
| Downloads | 155 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 24 June 2025 |
| Last updated at source | 24 June 2025 |
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- 17 Oct 2026 Description: MS MARCO query-passage scores using cross-encoder/ms-marco-MiniLM-L6-v2 MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine. This dataset contains 160 millio → MS MARCO query-passage scores using cross-encoder/ms-marco-MiniLM-L6-v2 MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine. This dataset contains 160 millio
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