---
license: other
license_name: deer-dataset-license
license_link: LICENSE
language:
- en
tags:
- deep-research
- benchmark
- rubric-based-evaluation
- agent
- fact-verification
pretty_name: DEER
size_categories:
- n<1K
---
# DEER: A Benchmark for Evaluating Deep Research Agents on Expert Report Generation

📄 **Paper:** [OpenReview](https://openreview.net/forum?id=ILRx5neJk6)
🏆 **Accepted at ICML 2026**

Existing evaluations for Deep Research Agents often remain surface-level when assessing long-form expert reports. DEER enables evaluation from an expert perspective using 101 fine-grained rubrics and task-specific human expert evaluation guidance. It also links every factual statement in a report to relevant external evidence and verifies whether the content is actually grounded, enabling a more complete assessment of report reliability.

## Dataset Access

The complete dataset is distributed as a password-protected 7z archive.

**Archive:** `deer_dataset.7z`
**Password:** `0000`

```bash
7z x deer_dataset.7z
```

The archive is password-protected to prevent web-enabled agents from finding and using expert-written evaluation guidance that specifies the key content expected in reports for each DEER query.

## Usage

DEER may be used for non-commercial research, evaluation, model training, fine-tuning, continued pretraining, and development.

To preserve the integrity of the benchmark:

* do not redistribute, mirror, republish, or publicly host the original dataset;
* do not upload the extracted dataset to public repositories, websites, dataset platforms, or file-sharing services; and
* direct other users to this official repository instead of sharing copies of the dataset.

Commercial use requires prior written permission from LG AI Research.

See the full [DEER Dataset License](https://huggingface.co/datasets/LG-AI-Research/DEER-Deep-Research-Benchmark/blob/main/LICENSE).

## Citation

```bibtex
@inproceedings{
han2026deer,
title={{DEER}: A Benchmark for Evaluating Deep Research Agents on Expert Report Generation},
author={Janghoon Han and Heegyu Kim and Changho Lee and Dahm Lee and Min Hyung Park and Hosung Song and Stanley Jungkyu Choi and Moontae Lee and Honglak Lee},
booktitle={Forty-third International Conference on Machine Learning},
year={2026},
url={https://openreview.net/forum?id=ILRx5neJk6}
}
```

## License

Copyright © 2026 LG AI Research. All rights reserved.

DEER is released under the custom [DEER Dataset License](https://huggingface.co/datasets/LG-AI-Research/DEER-Deep-Research-Benchmark/blob/main/LICENSE).