Datasets:

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PaDT-MLLM

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COCO

like 1

This PR improves the dataset card for the PaDT project by:

• Removing base_model and pipeline_tag from the metadata, as these are typically used for model cards or Spaces, not datasets.
• Adding task_categories: object-detection, image-segmentation, image-to-text to accurately reflect the domains the dataset supports, enhancing discoverability.
• Adding comprehensive tags such as mllm, multimodal, vision-language-model, visual-grounding, referring-expression-comprehension, referring-image-captioning, and computer-vision for improved searchability.
• Adding the official Hugging Face paper link to the paper reference section.
• Updating the PROMPT string in the "Quick Start" sample usage section with a more specific example from the Github README, better illustrating the dataset's use in concrete tasks.

These changes make the dataset card more informative, accurate, and easier to navigate on the Hugging Face Hub.