Enhance dataset card for NautData: Add metadata, links, description, tasks, and sample usage
#1
by
nielsr
HF Staff
- opened
This pull request significantly enhances the dataset card for NautData by:
- Adding relevant
task_categories:image-classification,object-detection,image-to-text,question-answering,image-text-to-text. - Including
language: enand descriptivetags:underwater,multimodal,LMM,instruction-following,scene-understanding. - Adding
size_categories: 1M<n<10Mto reflect the dataset's scale. - Providing a comprehensive description of the dataset, its purpose, and the tasks it supports, clarifying that this repository (
Wang017/NautData) holds the images and linking toWang017/NautData-Instructfor annotations. - Including direct links to the associated paper (NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding), the project page (https://h-embodvis.github.io/NAUTILUS/), and the GitHub repository (https://github.com/H-EmbodVis/NAUTILUS).
- Adding a "Sample Usage" section with practical Python code snippets for local inference, directly extracted from the project's GitHub README.
- Including the official BibTeX citation for proper attribution.
This makes the dataset much more informative and easier to discover and use for researchers.
Thank you so much for this fantastic contribution!
The enhanced dataset card looks great — really appreciate the effort in enriching it with detailed metadata, task categories, links, sample usage, and the citation. This will make the dataset much more discoverable and helpful for the community, especially for researchers working on underwater multimodal tasks.
Thanks again for taking the time to improve the project.
Wang017
changed pull request status to
merged