| --- |
| license: other |
| pretty_name: DataAgentBench Datasets |
| tags: |
| - data-agents |
| - benchmark |
| - databases |
| task_categories: |
| - question-answering |
| --- |
| |
| # 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) |
| - **Project page:** [ucbepic.github.io/DataAgentBench](https://ucbepic.github.io/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} |
| } |
| ``` |
