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

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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, 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

The released indexes correspond to the following retrievers:

• BM25
• SPLADE-v3
• RepLLaMA
• Qwen3-Embedding-8B
• ColBERTv2

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: chuan.meng@ed.ac.uk
• Litu Ou: litu.ou@ed.ac.uk

Citation

If you find this work useful, please cite:

@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},
  pages = {3006--3016},
  url = {https://doi.org/10.1145/3805712.3808557},
  doi = {10.1145/3805712.3808557},
  year={2026}
}