Datasets:
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README.md
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license:
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license: apache-2.0
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language:
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- en
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task_categories:
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- text-ranking
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- text-retrieval
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pretty_name: BlockRank MS MARCO Training Data (10% Sample)
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size_categories:
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- 10K<n<100K
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---
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# BlockRank MS MARCO Training Data (10% Sample)
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## Dataset Description
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A 10% sample of MS MARCO passage ranking data formatted for in-context ranking with LLMs. Based on [sentence-transformers/msmarco-distilbert-base-v3](https://huggingface.co/sentence-transformers/msmarco-distilbert-base-v3).
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- **Format**: JSONL (in-context ranking format)
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- **Size**: 50k training examples (10% sample)
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- **Documents per query**: 30-50 candidates (mix of positives and hard negatives)
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## Source
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- **Original**: [MS MARCO Passage Ranking](https://microsoft.github.io/msmarco/)
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- **Retrieval annotations**: sentence-transformers/msmarco-distilbert-base-v3
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- **Sampling**: 10% random sample of training queries
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- **Negatives**: Top dense retrieval results from msmarco-distilbert-base-v3 sbert model (excluding positives)
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## License
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Apache 2.0 (following MS MARCO license)
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