FinanceBench is a first-of-its-kind test suite for evaluating the performance of LLMs on open book financial question answering (QA). This is an open source sample of 150 annotated examples used in the evaluation and analysis of models assessed in the FinanceBench paper.
The PDFs linked in the dataset can be found here as well:
https://github.com/patronus-ai/financebench/tree/main/pdfs
The dataset comprises of questions about publicly traded companies, with corresponding answers and evidence… See the full description on the dataset page:
https://huggingface.co/datasets/RuthiKode/financebench.
