Sign inGet started
Dataset · Hugging Face

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 / organizationsentence-transformers
Downloads2.1K (as reported by Hugging Face)
Likes12
Created2 May 2024
Last updated at source15 May 2024
sentence-transformers
Embed this entry
<iframe src="https://silytics.si/embed/item/dcc6490b-3dde-411e-bf6b-568b9902e37c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

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

Explore this entry in the graph

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.

More from sentence-transformers

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.