Finance-Instruct-500k

Summary

The dataset includes content tailored for financial reasoning, question answering, entity recognition, sentiment analysis, address parsing, and multilingual natural language processing (NLP). Its diverse and deduplicated entries make it suitable for a wide range of financial AI applications, including domain-specific assistants, conversational agents, and information extraction systems.

Keywords

hf-dataset json text datasets pandas mlcroissant polars finance fine-tuning conversational-ai named-entity-recognition sentiment-analysis topic-classification rag multilingual lightweight-llm

Research notes

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