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Datasets:
quicktensor
/
blockrank-msmarco-train-10p

Tasks:
Text Ranking
Text Retrieval
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
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BlockRank MS MARCO Training Data (10% Sample)

Dataset Description

A 10% sample of MS MARCO passage ranking data formatted for training in-context ranking LLMs. This dataset is used in the training of the BlockRank project: Scalable In-context Ranking with Generative Models.

  • Format: JSONL (in-context ranking format)
  • Size: 50k training examples (10% sample)
  • Documents per query: 30-50 candidates (mix of positives and hard negatives)

Source

  • Original: MS MARCO Passage Ranking
  • Retrieval annotations: sentence-transformers/msmarco-distilbert-base-v3
  • Sampling: 10% random sample of training queries
  • Negatives: Top dense retrieval results from msmarco-distilbert-base-v3 sbert model (excluding positives)

License

Apache 2.0 (following MS MARCO license)
Downloads last month
55
Total file size:
640 MB

Models trained or fine-tuned on quicktensor/blockrank-msmarco-train-10p

Paper for quicktensor/blockrank-msmarco-train-10p