next-tat/tat-llm-instructions

TAT-LLM-Instructions The TAT(Tabular and Textual)-LLM-Instructions dataset is a curated collection of financial data, structured to resemble instructions. It aggregates information from three publicly available tabular and textual QA datasets: FinQA, TAT-QA, and TAT-DQA. By employing specialized templates, TAT-LLM-Instructions transforms the original dataset into prompts that are optimized for compatibility with large language models (LLMs) and external executor, aiming to… See the full description on the dataset page: https://huggingface.co/datasets/next-tat/tat-llm-instructions.

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