FinanceQA is a curated dataset of financial question-answer pairs extracted from company annual reports, balance sheets, and financial statements.
It is designed to support Question Answering (QA), Retrieval-Augmented Generation (RAG), and other NLP applications in financial analysis.
The dataset contains ~4,000 entries across multiple companies and years, with structured fields for queries, answers, and contextual excerpts.
šā¦ See the full description on the dataset page: https://huggingface.co/datasets/sweatSmile/FinanceQA.
