adrianmele/CodeX-2M-Thinking

CodeX-5M-Thinking是一个精心策划的编码数据集，专门用于基于指令的模型调优和现有模型的微调，增强代码生成和推理能力。这个完全合成的数据集代表了Hugging Face平台上大量且经过全面过滤的编码数据语料库，强调通过逐步推理进行更深层次的模型训练。数据集包含200万个高度策划的编码示例，覆盖从基本语法到高级软件工程的广泛编程领域，并通过多阶段过滤和验证过程确保质量。每个示例包括问题陈述、逐步解决方案和代码解决方案，所有代码解决方案都经过执行环境和测试套件的验证。

CodeX-5M-Thinking is a meticulously curated coding dataset designed specifically for instruction-based model tuning and fine-tuning of existing models with enhanced code generation and reasoning capabilities. This fully synthetic dataset represents a large and comprehensively filtered corpus of coding data on the Hugging Face platform, emphasizing a thinking approach with step-by-step reasoning for deeper model training. The dataset includes 2 million examples of highly curated coding data, covering a wide range of programming domains from basic syntax to advanced software engineering, with quality ensured through multi-stage filtering and verification processes. Each example contains a problem statement, step-by-step solution, and code solution, with all code solutions verified using execution environments and testing suites.