OpenDCAI/dataflow-instruct-10k

DataFlow-Instruct-10K是一个跨数学、代码和通用指令领域的综合训练语料库，通过DataFlow框架生成和过滤。该数据集旨在通过针对性训练（预训练、监督微调、强化学习训练）或使用知识库清理的RAG，提高大型语言模型（LLM）在特定领域（如医疗、金融和法律）的性能。数据集包含高质量的数学问题和链式思考（CoT）解决方案、代码指令以及自然语言任务，每个领域的数据合成过程都有详细描述。

DataFlow-Instruct-10K is an integrated training corpus spanning math, code, and general instruction domains, generated and filtered through the DataFlow framework. This dataset is designed to improve the performance of large language models (LLMs) in specific domains (such as healthcare, finance, and law) through targeted training (Pre-training, Supervised Fine-tuning, RL training) or RAG using knowledge base cleaning. It includes high-quality mathematical problems and chain-of-thought (CoT) solutions, code instructions, and natural language tasks, with detailed descriptions of the data synthesis process for each domain.