iGeniusAI/FinReflectKG

FinReflectKG是一个大型财务知识图谱数据集，从2014年至2024年间S&P 500公司的10-K SEC文件中提取。该数据集包含1751万个经过标准化的三元组，每个三元组都包含完整文本上下文。FinReflectKG提供了财务关系、实体和时间的结构化表示。数据集由Domyn编制，并获得了CC-BY-NC-4.0许可证。README文件详细介绍了数据集的来源、关键特性、结构、时间信息、示例用法、实体类型、关系类型、数据质量、时间覆盖范围、应用、数据来源、伦理考虑、引用和创建过程。数据集适用于各种研究和行业应用，包括财务NLP、知识图谱构建、时间序列分析、风险评估、合规性研究、财务情报、尽职调查、ESG分析、市场研究和监管科技。

FinReflectKG is a large-scale financial knowledge graph dataset extracted from S&P 500 companies 10-K SEC filings spanning 2014-2024, containing 17.51 million normalized triplets with full textual context. The dataset provides structured representations of financial relationships, entities, and temporal information. It is curated by Domyn and is licensed under CC-BY-NC-4.0. The README includes details on the datasets sources, key features, structure, temporal information, example usage, entity types, relationship types, data quality, temporal coverage, applications, data source, ethical considerations, citation, and dataset creation. The dataset is suitable for various research and industry applications, including financial NLP, knowledge graph construction, temporal analysis, risk assessment, compliance research, financial intelligence, due diligence, ESG analysis, market research, and regulatory technology.