Datasets:

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yunx-z

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MLRC-Bench

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This PR significantly enhances the dataset card for MLRC-Bench.

It adds a comprehensive description of the benchmark, derived from the paper's abstract and the GitHub repository's README.

Key updates include:

• Direct links to the official paper (https://huggingface.co/papers/2504.09702), the GitHub repository (https://github.com/yunx-z/MLRC-Bench), and the project page/leaderboard (https://huggingface.co/spaces/launch/MLRC_Bench).
• Updated metadata with relevant task_categories (text-generation, code-generation) and tags (agents, machine-learning, benchmark, code-generation, language: en) to improve discoverability on the Hugging Face Hub.
• A detailed "Sample Usage" section with practical code snippets for setting up the core benchmark environment, installing task-specific environments, and launching agents, all directly extracted and adapted from the official GitHub README.
• A brief overview of the benchmark's task structure.
• A BibTeX citation for proper attribution.