datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.arabic-financial-qa_eval
Arabic Financial Q&A Evaluation Dataset
Validation and test splits for evaluating models on Arabic Financial Q&A with analytical and causal reasoning.
Dataset Structure
Format: Simple prompt-answer pairs
Language: Arabic
Domain: Financial reports analysis
Task: Analytical question answering
Fields
id: Unique identifier
prompt: Full prompt with report and question
question: The analytical question
report: The financial report content
answer:… See the full description on the dataset page: https://huggingface.co/datasets/SahmBenchmark/arabic-financial-qa_eval.slm-bilanco-financial-qa-tr
slm-bilanco-financial-qa-tr
Turkce finansal analiz sorulari ve detayli cevaplarindan olusan instruction-tuning veri seti.
BIST sirketlerinin bilanco verileri uzerinden olusturulmustur.
Onemli Uyarilar
Bu veri seti yatirim tavsiyesi icermez. Analizler yalnizca egitim ve arastirma amaclidir.
Icerideki bilgiler ve bilanco degerleri gercek bilgiler olmayabilir. Yapay zeka tarafindan uretilmis veya sentetik olarak olusturulmus veriler icerebilir.
Herhangi bir yatirim karari almak icin… See the full description on the dataset page: https://huggingface.co/datasets/mrcuren/slm-bilanco-financial-qa-tr.arabic-financial-qa_train
Arabic Financial Q&A Training Dataset
Training split of the Arabic Financial Q&A dataset in conversational format.
Dataset Structure
Format: Conversational (human-agent pairs)
Language: Arabic
Domain: Financial reports analysis and causal reasoning
Task: Analytical question answering based on financial documents
Features
id: Unique identifier
conversations: Human prompt (report + question) and agent answer
report_type: Type of financial report… See the full description on the dataset page: https://huggingface.co/datasets/SahmBenchmark/arabic-financial-qa_train.processed_chat_messages_financial-qa-10K_for_llamaThe raw dataset used in this project is sourced from the virattt/financial-qa-10K repository. This dataset has been carefully processed for fine-tuning the meta-llama/Meta-Llama-3.1-8B-Instruct model, specifically for the Retrieval-Augmented Generation (RAG) use case.
The dataset consists of five key columns:
Question: The financial question posed in the dataset.
Answer: The corresponding answer to the financial question.
Context: Additional relevant context to help provide a more accurate… See the full description on the dataset page: https://huggingface.co/datasets/Shubhu07/processed_chat_messages_financial-qa-10K_for_llama.nigerian-financial-qa-reasoning
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/treasure4l/nigerian-financial-qa-reasoning.adaption-financial-qa-with-tables
Financial Filing QA with Reasoning (Augmented)
Numerical questions over company-filing tables and text, answered with a worked reasoning path.
Rows
11,976
Domain
finance
Format
data.parquet, one row per example
Licence
other
Built for
supervised fine-tuning (SFT) experiments on Adaption AutoScientist
Columns
Column
Description
prompt
The prompt (user turn) as uploaded.
completion
The target response as uploaded.… See the full description on the dataset page: https://huggingface.co/datasets/rodriguescarson/adaption-financial-qa-with-tables.adaption-financial-qa-with-tables-aug
Financial Filing QA with Reasoning (Augmented)
Numerical questions over company-filing tables and text, answered with a worked reasoning path.
Rows
11,976
Domain
finance
Format
data.parquet, one row per example
Licence
other
Built for
supervised fine-tuning (SFT) experiments on Adaption AutoScientist
Columns
Column
Description
original_prompt
The prompt (user turn) as uploaded.
original_completion
The target response as… See the full description on the dataset page: https://huggingface.co/datasets/rodriguescarson/adaption-financial-qa-with-tables-aug.