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

# Indexes of Retrievers on the Passage and Document Corpora of the BrowseComp-Plus Dataset

This repository provides the retrieval indexes built on the passage and document corpora of the BrowseComp-Plus dataset, as used in the paper [Revisiting Text Ranking in Deep Research](https://arxiv.org/abs/2602.21456), which has been accepted at **SIGIR 2026**, the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval.

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

The released indexes correspond to the following retrievers:

- [BM25](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/okapi_trec3.pdf)
- [SPLADE-v3](https://huggingface.co/naver/splade-v3)
- [RepLLaMA](https://huggingface.co/castorini/repllama-v1-7b-lora-passage)
- [Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B)
- [ColBERTv2](https://huggingface.co/colbert-ir/colbertv2.0)

These indexes are provided to facilitate reproducibility and enable direct evaluation of text ranking methods in the deep research setting.

## 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:
```bibtex
@inproceedings{meng2026revisiting,
  title={Revisiting Text Ranking in Deep Research},
  author={Meng, Chuan and Ou, Litu and MacAvaney, Sean and Dalton, Jeff},
  booktitle={Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  year={2026}
}
```