Datasets:

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WithAnyone

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MultiID-Bench

like 5

This PR enhances the MultiID-Bench dataset card by:

• Adding task_categories: ['text-to-image'], language: ['en'], and descriptive tags to the YAML metadata for improved discoverability.
• Including an introductory description that links directly to the Hugging Face paper: WithAnyone: Towards Controllable and ID Consistent Image Generation.
• Adding an explicit "Links" section for quick access to the paper, project page, and GitHub repository.
• Consolidating and clarifying the "Sample Usage" section, including steps for downloading the dataset, preparing data using parquet2bench.py, and running evaluations with the BenchEval_Geo script, directly integrating relevant snippets from the GitHub repository.
• Incorporating the complete "License and Disclaimer" and "Acknowledgement" sections from the GitHub repository to provide clear usage terms and proper attribution.
• Adding the BibTeX citation.

These updates aim to make the dataset card more informative, self-contained, and easier for researchers and users to navigate and utilize the dataset.