sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1
MS MARCO with hard negatives from co-condenser-margin-mse-sym-mnrl-mean-v1 MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine. For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models. Related Datasets These are the datasets generated using the 13 different… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-co-condenser-margin-mse-sym
| Author / organization | sentence-transformers |
|---|---|
| Downloads | 2.1K (as reported by Hugging Face) |
| Likes | 12 |
| Created | 2 May 2024 |
| Last updated at source | 15 May 2024 |
Popularity, last 2 days
2,138 now (+12 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- makiart/ModernBERT-large-DPR-msmarcoModel · used to train
- minishlab/potion-retrieval-32MModel · used to train
- tasksource/ModernBERT-base-embedModel · used to train
- joe32140/ModernBERT-large-msmarcoModel · used to train
- joe32140/ModernBERT-base-msmarcoModel · used to train
Recent changes
- 17 Oct 2026 Description: MS MARCO with hard negatives from co-condenser-margin-mse-sym-mnrl-mean-v1 MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine. For each query and gold posit → MS MARCO with hard negatives from co-condenser-margin-mse-sym-mnrl-mean-v1 MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine. For each query and gold posit
Changes detected by Silytics between refreshes of the source.
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