Add task category, paper & code links, description, and sample usage to dataset card
#1
by
nielsr HF Staff - opened
This PR significantly improves the dataset card for the CoViP benchmark by:
- Adding essential metadata:
task_categories(image-text-to-text),language(en), and relevanttags(personalization, vision-language-models, image-captioning, vlm) for better discoverability. - Including prominent links to the official paper (Contextualized Visual Personalization in Vision-Language Models) and the GitHub repository (oyt9306/CoViP).
- Providing a clear, concise description of the dataset's purpose and its features, based on the paper abstract.
- Adding a "Sample Usage" section with practical inference examples and code snippets directly sourced from the GitHub README to guide users.
- Including the BibTeX citation for proper academic attribution.
These updates will make the dataset more understandable, discoverable, and user-friendly for researchers on the Hugging Face Hub.