README.md

---
license: apache-2.0
---

# AutoResearchBench

This repository hosts the obfuscated benchmark bundle for `AutoResearchBench`.

The published file uses public reversible obfuscation for benchmark release. It lowers casual web exposure, but it is not strong access control.

Please do not repost decrypted questions or answers in plain text or images online.

## Download

```bash
export HF_TOKEN=your_hf_token  # required if this dataset repo is private
curl -L   -H "Authorization: Bearer ${HF_TOKEN}"   -o AutoResearchBench.jsonl.obf.json   https://huggingface.co/datasets/Lk123/AutoResearchBench/resolve/main/AutoResearchBench.jsonl.obf.json
```

## Decrypt

Use `decrypt_benchmark.py` from the benchmark code repository:

```bash
python3 decrypt_benchmark.py   --input-file AutoResearchBench.jsonl.obf.json   --output-file AutoResearchBench.jsonl
```

Run inference and evaluation on the decrypted `AutoResearchBench.jsonl`, not on the `.obf.json` bundle directly.


## ❤️ Citing Us
If you find this repository or our work useful, please consider giving a star ⭐ and or citing our work, which would be greatly appreciated:
```bibtex
@misc{xiong2026autoresearchbenchbenchmarkingaiagents,
      title={AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery}, 
      author={Lei Xiong and Kun Luo and Ziyi Xia and Wenbo Zhang and Jin-Ge Yao and Zheng Liu and Jingying Shao and Jianlyu Chen and Hongjin Qian and Xi Yang and Qian Yu and Hao Li and Chen Yue and Xiaan Du and Yuyang Wang and Yesheng Liu and Haiyu Xu and Zhicheng Dou},
      year={2026},
      eprint={2604.25256},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2604.25256}, 
}
```