Datasets:

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Kwai-Keye

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KC-MMbench

like 3

This PR aims to significantly improve the dataset card for KC-MMBench by:

• Adding video-text-to-text as the primary task category.
• Including relevant tags such as multimodal, video-understanding, short-video, benchmark, e-commerce, and VQA for enhanced discoverability.
• Updating the language tag to include en alongside zh to reflect the dataset's usage in English-based evaluations and the English documentation/task descriptions.
• Adding transformers to library_name as the associated models and utilities leverage this library.
• Enriching the dataset description with context from the paper abstract.
• Providing a direct link to the official Kwai Keye-VL GitHub repository, which contains the evaluation code and usage examples for this benchmark.
• Expanding the "Example of Evaluation" into a comprehensive "Usage" section, incorporating installation instructions and Python code snippets for inference from the GitHub repository, and clearly directing users to the detailed evaluation guide on GitHub.

These updates will make the KC-MMBench dataset easier to find, understand, and utilize for researchers and practitioners on the Hugging Face Hub.