datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.synthetic_vc_financial_decisions_reasoning_dataset
Best Curator Use Case in the Reasoning Datasets Competition: https://www.linkedin.com/feed/update/urn:li:activity:7330998995990781952/
Synthetic VC Financial Decisions Reasoning Dataset
Dataset Summary
The Synthetic VC Financial Decisions Reasoning Dataset is a large-scale collection designed to train, evaluate, and fine-tune language models on subjective, abstract financial reasoning tasks. It simulates venture capital (VC) workflows by capturing multiple… See the full description on the dataset page: https://huggingface.co/datasets/ZennyKenny/synthetic_vc_financial_decisions_reasoning_dataset.adaption-sec-financial-arithmetic-dataset
SEC Financial Arithmetic Dataset — Adaption AutoScientist Challenge
Powered by Adaptive Data — Adaption Labs
What This Dataset Teaches
This dataset trains a model to extract numbers from SEC filing tables and execute verified multi-step arithmetic — every answer is cross-checked against a gold reasoning program:
Task
Source
Example
Table Variable Extraction
FinQA
"From this 10-K table, extract 2021 and 2022 revenue values"
Multi-Step Arithmetic… See the full description on the dataset page: https://huggingface.co/datasets/narendarcodes/adaption-sec-financial-arithmetic-dataset.Financial_Context_DatasetThis dataset contains over 50,000 samples of user financial queries paired with their corresponding structured data requests (context). It was created to facilitate the creation of the Financial Agent LLM for accurate data extraction and query answering.
How to load the Dataset
You can load the dataset using the code below:
from datasets import load_dataset
ds = load_dataset("Chaitanya14/Financial_Context_Dataset")
Dataset Construction
Diverse Query Sources… See the full description on the dataset page: https://huggingface.co/datasets/Chaitanya14/Financial_Context_Dataset.snowfox-financial-table-data
snowfox-financial-table-data
SnowFox — financial-table extraction training (snowfox_financial_table tasks).
Contents
train.jsonl (1680 rows)
validation.jsonl (162 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
Original content for SnowFox (Michael Anthony Falabella).
financial-training-dataset
Financial Training Dataset
A curated dataset for training language models on financial analysis tasks.
Dataset Description
This dataset contains financial information collected from multiple sources:
Financial news articles
Company fundamental data
Market analysis reports
RSS financial feeds
Data Sources
NewsAPI (financial news)
AlphaVantage (company fundamentals)
Yahoo Finance (market data)
Financial RSS feeds
Dataset Structure
Total Records:… See the full description on the dataset page: https://huggingface.co/datasets/tgishor/financial-training-dataset.oakmont-financial-planning-business-data
Oakmont Financial Planning — Business Data
Structured business information for Oakmont Financial Planning in Birmingham, AL.
Dataset Description
This dataset contains verified business information including:
Business name, industry, and contact details
Physical address and geographic coordinates
Website and service information
Data Format
JSON format with the following fields:
name: Business name
industry: Industry category
website: Official website URL… See the full description on the dataset page: https://huggingface.co/datasets/vltrinkle/oakmont-financial-planning-business-data.financial-data-engineering-sample
Financial Data Engineering — Expert RLHF Sample
Free sample from the Provenance AI Financial Data Engineering dataset.
Two files are included:
financial-data-engineering-sample.jsonl — 10 SFT examples (standard instruction-following format)
financial-data-engineering-dpo-sample.jsonl — 5 preference pairs (DPO format, chosen + rejected)
The full dataset (25 SFT examples + 25 DPO pairs + 3 multi-turn conversations + case study) is available commercially. See the full repository for… See the full description on the dataset page: https://huggingface.co/datasets/ProvenanceAI/financial-data-engineering-sample.