financial qa
financial-qa-10KOpen-domain_Financial_QA
Large-scale Open-domain Financial QA (LOFin)
This repository accompanies the dataset used in the paper:
Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents
(ACL 2025 Findings)
We introduce a benchmark for open-domain financial question answering over standardized documents, with a focus on multi-document and multi-hop reasoning.
📊 Benchmark Overview
This benchmark targets realistic financial QA tasks… See the full description on the dataset page: https://huggingface.co/datasets/HYdsl/Open-domain_Financial_QA.financial-qa-dataset
financial-qa-dataset
This dataset consists of Question-Answer_Context Pairs. It also consists of metadata for filtering the records.
Repo Structure
financial-qa-dataset
├── financial-qa-dataset.csv
├── metadata.csv
├── notebooks
│ |── loading_dataset.ipynb
│ |── Loading_dataset_huggingface.ipynb
│ |── basic_rag_langchain_vertexai.ipynb
│ |── basic_rag_with_evaluation.ipynb
|
├── data
|── Statements
|── Reports… See the full description on the dataset page: https://huggingface.co/datasets/adityarane/financial-qa-dataset.FinQA_TAT-QA_financial_finetuning_dataset
Dataset Summary
This dataset provides a unified, flattened context / question / answer format for
question answering over financial documents that combine tabular and textual data. It is
built to support training and evaluating models on numerical and discrete reasoning
tasks in the finance domain, drawing on the structure and style of established
finance-QA benchmarks such as TAT-QA and FinQA.
Each example pairs a passage of financial context (derived from a table and/or… See the full description on the dataset page: https://huggingface.co/datasets/hellotayssir/FinQA_TAT-QA_financial_finetuning_dataset.adaption-financial-tat-qa-pairs
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-financial_tat_qa_pairs
This dataset consists of question-and-answer pairs derived from corporate financial reports, specifically Form 10-K filings. The prompts inquire about specific numerical metrics, year-over-year comparisons, and qualitative explanations for financial trends or organizational changes. Completions provide precise values, percentages, or direct textual excerpts… See the full description on the dataset page: https://huggingface.co/datasets/dipanjann/adaption-financial-tat-qa-pairs.adaption-financial-qa-pairs
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-financial_qa_pairs
This dataset consists of question-and-answer pairs focused on extracting specific financial metrics from corporate reports. The prompts inquire about percentages, monetary values, growth rates, and operational statistics such as store counts or debt changes. Each completion provides a precise numerical answer derived from financial statements or related… See the full description on the dataset page: https://huggingface.co/datasets/dipanjann/adaption-financial-qa-pairs.