Datasets:

sentence-transformers
/

msmarco-distilbert-margin-mse-sym-mnrl-mean-v2

Tasks:

Feature Extraction

Sentence Similarity

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sentence-transformers

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tomaarsen HF staff commited on May 6, 2024

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@@ -8,7 +8,7 @@ size_categories:
 task_categories:
 - feature-extraction
 - sentence-similarity
-pretty_name: MS Marco with hard negatives from distilbert-margin-mse-sym-mnrl-mean-v2
 tags:
 - sentence-transformers
 dataset_info:
@@ -355,7 +355,7 @@ configs:
     path: triplet-ids/train-*
 ---
-# MS Marco with hard negatives from distilbert-margin-mse-sym-mnrl-mean-v2
 [MS MARCO](https://microsoft.github.io/msmarco/) 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](https://www.sbert.net).

 task_categories:
 - feature-extraction
 - sentence-similarity
+pretty_name: MS MARCO with hard negatives from distilbert-margin-mse-sym-mnrl-mean-v2
 tags:
 - sentence-transformers
 dataset_info:
     path: triplet-ids/train-*
 ---
+# MS MARCO with hard negatives from distilbert-margin-mse-sym-mnrl-mean-v2
 [MS MARCO](https://microsoft.github.io/msmarco/) 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](https://www.sbert.net).