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FinReflectKG is a large-scale knowledge graph dataset for the financial field released by Domyn in 2025. The related paper results are "FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs", which aims to extract structured semantic relationships from corporate regulatory documents and promote the development of knowledge graph research in the financial field.

This dataset, based on the latest annual SEC 10-K reports of S&P 100 companies, contains large-scale triplets with complete textual context. It is suitable for entity recognition, relationship extraction, knowledge graph construction, time series analysis, and large-scale language model-driven information extraction evaluation and downstream financial intelligence application development in the financial sector.

Data composition:

• Entity
• Relationship
• Target
• Timestamp (start and end date)
• Contextual Text
• Document metadata