---
license: mit
task_categories:
- text-retrieval
tags:
- retrieval-augmented-generation
- deep-research
- search
---

# Passage Corpus (Pyserini Format) for the BrowseComp-Plus Dataset

This repository provides the passage corpus for the BrowseComp-Plus dataset in a format compatible with Pyserini, used in the paper [Revisiting Text Ranking in Deep Research](https://arxiv.org/abs/2602.21456).

- **Code:** [GitHub Repository](https://github.com/ChuanMeng/text-ranking-in-deep-research)

The corpus consists of 2,772,255 passages.

Unlike the version available at  
https://huggingface.co/datasets/grill-lab/browsecomp-plus-passage-corpus, this release follows the Pyserini JSONL data format.

Each item contains two fields:

- `id`: the unique passage identifier.
- `contents`: the concatenation of the source document title and the passage text.

This format is directly compatible with Pyserini BM25.

## Sample Usage

As described in the [official repository](https://github.com/ChuanMeng/text-ranking-in-deep-research), you can build a Lucene index using Pyserini with the following command:

```bash
python -m pyserini.index.lucene \
--collection JsonCollection \
--input /path/to/downloaded/data/ \
--index ./indexes/index.bm25.passage \
--generator DefaultLuceneDocumentGenerator \
--threads 16 \
--storePositions --storeDocvectors --storeRaw
```

## Contact

If you have any questions or suggestions, please contact:

- [Chuan Meng](https://chuanmeng.github.io/): chuan.meng@ed.ac.uk  
- [Litu Ou](https://leonard907.github.io/): litu.ou@ed.ac.uk  

## Citation
If you find this work useful, please cite:
```
@article{meng2026revisiting,
  title={Revisiting Text Ranking in Deep Research},
  author={Meng, Chuan and Ou, Litu and MacAvaney, Sean and Dalton, Jeff},
  journal={arXiv preprint arXiv:2602.21456},
  year={2026}
}
```