embedding-benchmark/FinQA
FinQA is a large-scale dataset with 2.8k financial reports for 8k Q&A pairs to study numerical reasoning with structured and unstructured evidence. Usage import datasets # Download the dataset queries = datasets.load_dataset("embedding-benchmark/FinQA", "queries") documents = datasets.load_dataset("embedding-benchmark/FinQA", "corpus") pair_labels = datasets.load_dataset("embedding-benchmark/FinQA", "default")
01.4k
This repository belongs to embedding-benchmark on Hugging Face.
Team Ai never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.
FinQA
public
not set
no
embedding-benchmark
