Datasets:

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yuuwwang

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aicrypto

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This PR significantly enhances the dataset card for AICrypto by providing a comprehensive overview and practical guidance.

Key changes include:

• Metadata Updates:
  • Updated task_categories to ['question-answering', 'text-generation'] to accurately reflect the benchmark's multiple-choice questions, CTF challenges, and proof problems.
  • Removed size_categories: - 10M<n<100M, as this is inaccurate for a benchmark comprising a fixed, smaller number of structured problems.
  • Added benchmark to the tags list to better categorize the dataset's nature.
• Introduction: Added a detailed description of the AICrypto benchmark, summarizing its purpose and components (MCQs, CTF challenges, proof problems) based on the paper's abstract.
• Links: Included direct links to the paper (AICrypto: A Comprehensive Benchmark for Evaluating Cryptography Capabilities of Large Language Models), project page (https://aicryptobench.github.io/), and the associated GitHub repository (https://github.com/wangyu-ovo/aicrypto-agent).
• Download Instructions: Provided clear instructions on how to download the dataset from this repository for use with the code.
• Setup Guide: Included the prerequisites and installation steps directly from the GitHub README to facilitate environment setup.
• Comprehensive Sample Usage: Incorporated all relevant code snippets from the GitHub README, demonstrating how to run single and parallel CTF challenges, multiple-choice question evaluations, and proof tasks.
• Citation: Added the BibTeX citation for the paper to enable proper academic referencing.

These updates aim to make the dataset card more informative, user-friendly, and discoverable for researchers interested in evaluating LLM cryptography capabilities.