Datasetpublic

lens-lab/pacbench

Paper: https://arxiv.org/abs/2506.23725 Download Grab the full dataset as a single tarball and expand it locally: wget https://huggingface.co/datasets/lens-lab/pacbench/resolve/main/pacbench-20250218.tar.gz tar -xzf pacbench-20250218.tar.gz After extraction you will get the pacbench/ directory with the same structure used on the Hub (constraint images, humanoid captures, open images, RoboCasa objects, metadata, etc.). If you prefer the classic Hub workflow, the original files… See the full description on the dataset page: https://huggingface.co/datasets/lens-lab/pacbench.

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Dataset Card

Paper: https://arxiv.org/abs/2506.23725

Download

Grab the full dataset as a single tarball and expand it locally:

bash

wget https://huggingface.co/datasets/lens-lab/pacbench/resolve/main/pacbench-20250218.tar.gz
tar -xzf pacbench-20250218.tar.gz

After extraction you will get the pacbench/ directory with the same structure used on the Hub (constraint images, humanoid captures, open images, RoboCasa objects, metadata, etc.).

If you prefer the classic Hub workflow, the original files remain accessible via hf download lens-lab/pacbench --repo-type dataset, although non-pro account requests may be rate limited.

Citation

Please cite PAC Bench if you use this benchmark or framework in your research:

bibtex

@inproceedings{pacbench2025,
  title     = {PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?},
  author    = {Atharva Gundawar and Som Sagar and Ransalu Senanayake},
  booktitle = {NeurIPS 2025 Datasets and Benchmarks Track},
  year      = {2025}
}