Improve dataset card: Add description, links, task categories, and evaluation usage
#2
by
nielsr HF Staff - opened
This PR significantly enhances the dataset card for cheryyunl/ROVER-Gen by:
- Adding
text-to-imageandimage-text-to-textto thetask_categoriesmetadata, reflecting the reciprocal cross-modal reasoning tasks. - Providing a descriptive introduction to the ROVER benchmark, based on the paper abstract.
- Including direct links to the associated paper, project page, and GitHub repository.
- Adding sections for "Evaluation Metrics" and "Dataset Categorization" (Reasoning Types and Dimensions) from the GitHub README, providing crucial context for the benchmark.
- Incorporating a "Sample Usage" section directly from the GitHub README's "Quick Start" guide, detailing how to set up and run evaluations using the ROVER evaluation system, which automatically handles dataset loading.
These updates improve the discoverability, clarity, and completeness of the dataset card on the Hugging Face Hub.