Improve dataset card: Add paper, code, abstract, usage, license, and task category
#3
by
nielsr
HF Staff
- opened
This PR significantly improves the dataset card for LIBERO-PRO by:
- Updating metadata:
- Correcting the
licensetocc-by-4.0, which is specified for datasets in the GitHub README. - Adding
task_categories: - roboticsfor better classification. - Adding
language: - en. - Adding relevant
tags(robot-learning,vision-language-action,benchmark) for improved discoverability.
- Correcting the
- Enhancing content:
- Updating the main title to "LIBERO-PRO Datasets".
- Adding the official Hugging Face paper link: https://huggingface.co/papers/2510.03827.
- Adding a link to the GitHub repository: https://github.com/Zxy-MLlab/LIBERO-PRO.
- Including the paper's abstract to provide comprehensive context.
- Adding an introductory overview of the LIBERO-PRO benchmark.
- Updating the link to the download script to point to the
Zxy-MLlab/LIBERO-PROrepository. - Providing a "Sample Usage" section with code snippets for downloading the dataset from Hugging Face, as found in the official GitHub repository's README.
- Adding a "Citation" section with the recommended BibTeX entries.
These additions make the dataset card more informative, discoverable, and compliant with best practices for documentation on the Hugging Face Hub.