Improve dataset card: Add task categories, language, tags, paper links, sample usage, and citation
#2
by
						
nielsr
	
							HF Staff
						- opened
							
					
This pull request significantly enhances the STAR-Bench dataset card by:
- Adding task_categories: ['audio-text-to-text']to the metadata, reflecting the dataset's focus on audio reasoning yielding textual responses.
- Including language: ['en']as the primary language for the dataset's textual components and documentation.
- Introducing descriptive tagssuch as4d-intelligence,spatio-temporal-reasoning,audio-reasoning, andaudio-benchmarkto improve discoverability.
- Updating the header links to explicitly include both the Hugging Face paper page (https://huggingface.co/papers/2510.24693) and the arXiv preprint link (https://arxiv.org/abs/2510.24693), replacing the previous empty arXiv placeholder.
- Adding a comprehensive "Sample Usage" section, extracted and adapted from the GitHub repository's "Test Your Model!" guide, to help users easily set up and evaluate models with the dataset. The huggingface-cli downloadcommand in this section has been corrected to useinternlm/STAR-Benchfor direct download.
- Replacing the "TBD" placeholder in the "Citation" section with the full BibTeX entry provided in the GitHub README.
- Including the "Acknowledgement" section from the GitHub README to credit platform support.
These changes collectively make the dataset card more informative, discoverable, and user-friendly.

