KRX-Data/Won-Instruct

₩ON-Instruct是一个针对训练韩语语言模型的专业金融推理和领域特定金融任务的综合指导跟随数据集。该数据集通过严格的过滤和质保过程精心编制，旨在提高大型语言模型（LLM）在金融领域的推理能力，特别是针对韩国金融任务。数据集包含大约8万个高质量指导-响应实例，旨在提高语言模型处理复杂金融推理场景和提供稳健、准确、上下文感知的金融信息的能力。

₩ON-Instruct is a comprehensive instruction-following dataset tailored for training Korean language models specialized in financial reasoning and domain-specific financial tasks. This dataset was meticulously assembled through rigorous filtering and quality assurance processes, aiming to enhance the reasoning abilities of large language models (LLMs) within the financial domain, specifically tuned for Korean financial tasks. The dataset comprises approximately 80k high-quality instruction-response instances, intentionally designed to advance the capability of language models in addressing complex financial reasoning scenarios and providing robust, accurate, and context-aware financial information.