datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.eu-financial-regulatory-qa
EU Financial Regulatory QA Dataset (Multi-Format)
📊 Dataset Summary
A high-quality question-answering dataset derived from public regulatory and policy documents published by Irish and European financial authorities. This dataset addresses a critical challenge in fine-tuning language models: response formatting inconsistency.
Sources:
🇮🇪 Central Bank of Ireland (regulatory documents, policy letters, annual reports)
🇪🇺 ESMA (European Securities and Markets Authority)… See the full description on the dataset page: https://huggingface.co/datasets/Infiniaai/eu-financial-regulatory-qa.adaption-financial-table-qa
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-financial_table_qa
This dataset contains question-answer pairs derived from corporate financial statements, including balance sheets and income statements for various companies. The prompts require extracting specific line items, calculating year-over-year percentage changes, or converting scaled values (millions/thousands) to absolute dollar amounts. Each completion provides the… See the full description on the dataset page: https://huggingface.co/datasets/RaffiArdhi/adaption-financial-table-qa.Nepali_Commercial_Bank_Financial_Indicators_QA_Dataset
Nepali Commercial Bank Financial Indicators — Grounded QA Dataset
A Nepali-language, grounded single-metric question–answering dataset built from the quarterly Key Financial Indicators of Commercial Banks published for Nepal's commercial banking sector. Each example is a single-turn human↔assistant conversation (ShareGPT / Hermes style) in which a question about one specific bank, one specific quarter, and one specific financial metric is answered with the exact value drawn from… See the full description on the dataset page: https://huggingface.co/datasets/sabin1234/Nepali_Commercial_Bank_Financial_Indicators_QA_Dataset.adaption-financial-math-qa
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-financial_math_qa
This dataset contains question-and-answer pairs focused on personal finance calculations, including compound interest, loan amortization, tax brackets, and retirement planning. Each sample provides a specific financial scenario in the prompt and a detailed, step-by-step mathematical derivation in the completion. The responses explain the underlying formulas… See the full description on the dataset page: https://huggingface.co/datasets/uditjain/adaption-financial-math-qa.adaption-financial-qa-samples
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-financial_qa_samples
This dataset contains prompt-completion pairs focused on financial market analysis, including currency exchange rates, stock trends, and commodity prices. The samples demonstrate handling real-time data limitations, analyzing news headlines for temporal and comparative insights, and providing educational frameworks for investment strategies. Responses range from… See the full description on the dataset page: https://huggingface.co/datasets/sidddd625/adaption-financial-qa-samples.adaption-india-financial-rights-qa
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-india_financial_rights_qa
This dataset contains question-answer pairs addressing common financial literacy challenges, fraud scenarios, and regulatory rights specific to India. The content covers topics such as investment scams, banking complaints, loan defaults, insurance claims, and government schemes, providing actionable legal and procedural guidance. Each entry explains relevant… See the full description on the dataset page: https://huggingface.co/datasets/sidddd625/adaption-india-financial-rights-qa.financial-advice-qaThis dataset is a remastered version prepared using Adaption's Adaptive Data platform.
financial_advice_qa
A dataset of prompts and responses focused on career guidance, financial decisions, and workplace etiquette. The data includes advice on job opportunities, managing wealth, housing choices, and employee retention. Responses are informative and tailored to personal or professional life challenges.
Dataset size
There are 6 data points in this dataset. This is an… See the full description on the dataset page: https://huggingface.co/datasets/NikitaSirotkin/financial-advice-qa.financial-advice-qa-advice-advice
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
financial_advice_qa advice advice
This instruction tuning dataset contains pairs of user prompts and model completions focused on personal finance, career guidance, and economic decision-making. The content addresses practical topics such as housing markets, inflation, wealth management, and employment strategies. Each entry provides concise, empowering, and helpful advisory… See the full description on the dataset page: https://huggingface.co/datasets/NikitaSirotkin/financial-advice-qa-advice-advice.financial-qa-chat-formattedMRTCMY-Financial-QA
MRTCMY Financial QA Dataset
Dataset SummaryQuestion–answer pairs derived from MRT Corporation (Malaysia) annual, progress, and financial reports (2012–2021).Each record includes a question, concise answer, supporting context, and a fixed ticker MRTCMY.
📦 Files
File
Description
train.jsonl
Full dataset in JSON Lines format
README.md
This dataset card
🔧 Schema
Each line in train.jsonl is a JSON object:
{"question":"...","answer":"..."… See the full description on the dataset page: https://huggingface.co/datasets/Epan-098/MRTCMY-Financial-QA.
