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--- |
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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 training in-context ranking LLMs. This dataset is used in the training of the [BlockRank](https://github.com/nilesh2797/BlockRank) project: [Scalable In-context Ranking with Generative Models](https://arxiv.org/abs/2510.05396). |
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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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