orgrctera/uda_fin_qa_qa
UDA FinQA — Question Answering (orgrctera/uda_fin_qa_qa) Dataset description This release is the FinQA-aligned Question Answering (QA) split from the UDA (Unstructured Document Analysis) benchmark: 8,190 expert-style question–answer instances grounded in real corporate financial disclosures (earnings materials, 10-K–style reports). Each row pairs a natural-language question with structured supervision (gold answers, supporting evidence, document context, and… See the full description on the dataset page: https://huggingface.co/datasets/orgrctera/uda_fin_qa_qa.
| Author / organization | orgrctera |
|---|---|
| License (as declared) | mit |
| Downloads | 684 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 March 2026 |
| Last updated at source | 21 March 2026 |
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- 17 Oct 2026 Description: UDA FinQA — Question Answering (orgrctera/uda_fin_qa_qa) Dataset description This release is the FinQA-aligned Question Answering (QA) split from the UDA (Unstructured Document Analysis) benchmark: 8,190 expert-style question–answer instanc → UDA FinQA — Question Answering (orgrctera/uda_fin_qa_qa) Dataset description This release is the FinQA-aligned Question Answering (QA) split from the UDA (Unstructured Document Analysis) benchmark: 8,190 expert-style question–answer instanc
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