Dataset · Hugging Face

sentence-transformers/msmarco

Name: msmarco
Creator: sentence-transformers
Keywords: task_categories:feature-extraction, task_categories:sentence-similarity, task_categories:text-classification, language:en, size_categories:100M<n<1B, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2405.07920, region:us, sentence-transformers, cross-encoder

MS MARCO Training Dataset This dataset consists of 4 separate datasets, each using the MS MARCO Queries and passages: triplets: This subset contains triplets of query-id, positive-id, negative-id as provided in qidpidtriples.train.full.2.tsv.gz from the MS MARCO Website. The only change is that this dataset has been reshuffled. This dataset can easily be used with an MultipleNegativesRankingLoss a.k.a. InfoNCE loss. labeled-list: This subset contains triplets of query-id… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco.

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Author / organization	sentence-transformers
Downloads	1.5K (as reported by Hugging Face)
Likes	12
Created	13 February 2025
Last updated at source	29 January 2026

sentence-transformerscross-encoder

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Connected in the knowledge graph

cross-encoder/ms-marco-TinyBERT-L4Model · used to train
cross-encoder/ms-marco-MiniLM-L2-v2Model · used to train
tomaarsen/ms-marco-ettin-68m-rerankerModel · used to train
cross-encoder/msmarco-MiniLM-L12-en-de-v1Model · used to train
mradermacher/ms-marco-TinyBERT-L2-GGUFModel · used to train
cross-encoder/ms-marco-electra-baseModel · used to train
cross-encoder/ms-marco-MiniLM-L12-v2Model · used to train
cross-encoder/ms-marco-TinyBERT-L2-v2Model · used to train
tomaarsen/ms-marco-ettin-17m-rerankerModel · used to train
cross-encoder/msmarco-MiniLM-L6-en-de-v1Model · used to train
cross-encoder/ms-marco-TinyBERT-L6Model · used to train
KnightsAnalytics/ms-marco-MiniLM-L2-v2Model · used to train
mradermacher/ms-marco-MiniLM-L12-v2-GGUFModel · used to train
cross-encoder/ms-marco-MiniLM-L4-v2Model · used to train
cross-encoder/ms-marco-TinyBERT-L2Model · used to train
tomaarsen/ms-marco-ettin-32m-rerankerModel · used to train
cross-encoder/ms-marco-MiniLM-L6-v2Model · used to train

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Recent changes

17 Oct 2026 Description: MS MARCO Training Dataset This dataset consists of 4 separate datasets, each using the MS MARCO Queries and passages: triplets: This subset contains triplets of query-id, positive-id, negative-id as provided in qidpidtriples.train.full.2.ts → MS MARCO Training Dataset This dataset consists of 4 separate datasets, each using the MS MARCO Queries and passages: triplets: This subset contains triplets of query-id, positive-id, negative-id as provided in qidpidtriples.train.full.2.ts

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