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Improve dataset card: Add metadata, paper/code links, images, and test section

#2
by nielsr HF Staff - opened
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nielsr

This PR significantly enhances the dataset card for AgriEval by:

  • Adding comprehensive metadata tags for task_categories (question-answering), language (zh), license (apache-2.0), tags (agriculture, benchmark, llm-evaluation), and size_categories (10K<n<100K) to improve discoverability.
  • Including direct links to the associated Hugging Face paper (AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models) and the GitHub repository (https://github.com/YanPioneer/AgriEval) for easy access to more information and code.
  • Integrating illustrative figures from the GitHub README to provide a clearer visual overview of the dataset's characteristics and examples.
  • Adding the "2.5 Test" section from the GitHub README, offering practical guidance on how to evaluate using the benchmark.

These changes collectively make the dataset card more informative, user-friendly, and compliant with Hugging Face Hub best practices.

 Improve dataset card: Add metadata, paper/code links, images, and test section0b26c4fc
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