Improve dataset card for M2RAG benchmark

#3
by nielsr HF Staff - opened

This PR updates the dataset card for M2RAG to enhance its discoverability and utility.

Key improvements include:

  • Correcting task_categories to image-text-to-text to better reflect the dataset's multi-modal text generation tasks, while retaining visual-question-answering.
  • Adding retrieval-augmented-generation, multimodal, and benchmark as relevant tags for improved searchability.
  • Enhancing the overview with details about MM-RAIT from the paper abstract and GitHub README.
  • Incorporating a comprehensive "Sample Usage" section, porting detailed instructions for setup, reproduction, and evaluation from the GitHub repository to guide users effectively.
Ready to merge
This branch is ready to get merged automatically.

Sign up or log in to comment