---
pretty_name: DataAgentBench Datasets
license: other
tags:
- data-agents
- benchmark
- databases
- arxiv:2603.20576
---

# DataAgentBench — Datasets

Mirror of the large dataset files for [**DataAgentBench**](https://github.com/ucbepic/DataAgentBench), a benchmark for data agents. These files (PostgreSQL dumps, SQLite/DuckDB databases, and MongoDB BSON) are hosted here instead of Git LFS so they can be downloaded freely.

- **Paper:** [Can AI Agents Answer Your Data Questions? A Benchmark for Data Agents](https://huggingface.co/papers/2603.20576) ([arXiv:2603.20576](https://arxiv.org/abs/2603.20576))
- **GitHub:** [ucbepic/DataAgentBench](https://github.com/ucbepic/DataAgentBench)

## Usage

Clone the benchmark repo and run its downloader, which fetches every file into place and verifies it against a sha256 checksum:

```bash
git clone https://github.com/ucbepic/DataAgentBench.git
cd DataAgentBench
bash download.sh
```

To grab a single file directly:

```python
from huggingface_hub import hf_hub_download
hf_hub_download(
    repo_id="ruiyingm/DataAgentBench-data",
    repo_type="dataset",
    filename="query_imdb/query_dataset/movies.sql",
    local_dir=".",
)
```

## Layout

File paths mirror the benchmark repo exactly (`query_<dataset>/query_dataset/...`), so each file lands in the right location on download. See `dataset_manifest.tsv` in the main repo for the full list with checksums.

## Citation

If you use DataAgentBench in your work, please cite:

```bibtex
@article{ma2026can,
  title={Can ai agents answer your data questions? a benchmark for data agents},
  author={Ma, Ruiying and Shankar, Shreya and Chen, Ruiqi and Lin, Yiming and Zeighami, Sepanta and Ghosh, Rajoshi and Gupta, Abhinav and Gupta, Anushrut and Gopal, Tanmai and Parameswaran, Aditya G},
  journal={arXiv preprint arXiv:2603.20576},
  year={2026}
}
```