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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")

sourceHugging Faceupdated 1y agoView on Hugging Face

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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")