---
license: apache-2.0
language:
- en
task_categories:
- text-ranking
- text-retrieval
pretty_name: BlockRank MS MARCO Training Data (10% Sample)
size_categories:
- 10K<n<100K
---

# 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](https://github.com/nilesh2797/BlockRank) project: [Scalable In-context Ranking with Generative Models](https://arxiv.org/abs/2510.05396).

- **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](https://microsoft.github.io/msmarco/)
- **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)