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FInstruct: Financial Instruction-Following Data Set

FInstruct contains instruction-following data extracted from recent research articles by MSCI, S&P, and arXiv. The data set was generated in the style of self-instruct using the model behind HuggingChat. I'm actively curating this data set by adding quality labels and improving the generation process.

The quality label:

  • 0: Not curated
  • 1: Should be excluded
  • 2: Pass basic cleansing

Usage

This data set may be a resource for researchers, academics, and industry professionals interested in exploring the latest research in quantitative finance. Additionally, it can be a training data set for those looking to fine-tune language models for financial analysis and decision-making.

Feedback and Contributions

If you notice any errors or have any suggestions, please open an issue or shoot me a message directly.