FinQA is a new large-scale dataset with Question-Answering pairs over Financial reports, written by financial experts. The dataset contains 8,281 financial QA
pairs, along with their numerical reasoning processes.
Variants: FinQA
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Question Answering | GPT-4 (8k) | Are ChatGPT and GPT-4 General-Purpose … | 2023-05-10 |
| Question Answering | APOLLO | APOLLO: An Optimized Training Approach … | 2022-12-14 |
| Question Answering | ELASTIC (RoBERTa-large) | ELASTIC: Numerical Reasoning with Adaptive … | 2022-10-18 |
| Question Answering | FinQANet (RoBERTa-large) | FinQA: A Dataset of Numerical … | 2021-09-01 |
| Question Answering | FinQANet (BERT-large) | FinQA: A Dataset of Numerical … | 2021-09-01 |
| Question Answering | FinQANet (FinBert ) | FinQA: A Dataset of Numerical … | 2021-09-01 |
Recent papers with results on this dataset: