---
license: odc-by
---
Subset of https://huggingface.co/datasets/Josephgflowers/Par-Four-Fineweb-Edu-Fortified

Used keyword filtering and scoring to extract data with a finance focus.

Creation script:

https://huggingface.co/datasets/Josephgflowers/Par-Four-Fineweb-Edu-Fortified-Finance/resolve/main/find-fin-fine.py


![image/webp](https://cdn-uploads.huggingface.co/production/uploads/6328952f798f8d122ce62a44/dJOGYzc9hdGl5C0HcEgqa.webp)

## Dataset Description

### Summary
This dataset is a finance-focused filtered subset of the Fineweb-Edu-Fortified dataset. It is designed to extract and prioritize high-quality educational content relevant to finance, economics, and related topics. Using advanced keyword-based scoring, the dataset emphasizes finance-specific entries while reducing the overall dataset size for more targeted training.

The dataset includes three key fields:
- **score**: Represents the quality and relevance of the text content.
- **text**: The main content of the webpage, filtered for finance-related keywords.
- **url**: The source URL from which the text was extracted.

### Source and Reference
The original dataset, Fineweb-Edu-Fortified, was created from 95 Common Crawl datasets, covering web content from 2013 to 2024. This filtered version maintains its core educational purpose while refining the focus to finance-related materials.

The original dataset card is available [here](https://huggingface.co/datasets/airtrain-ai/fineweb-edu-fortified).

## Supported Tasks and Use Cases

1. **Financial Model Fine-Tuning**  
   - Train smaller language models for finance-specific applications such as market analysis, economic research, and financial QA.

2. **Synthetic Dataset Creation**  
   - Generate question-answer pairs and financial problem-solving datasets using extracted content.

3. **Topic-Based Training**  
   - Focus on specialized finance-related training by grouping the dataset by subject.

4. **Model Healing**  
   - Fine-tune pruned models to restore or enhance knowledge in financial and economic domains.

## Dataset Structure

### Data Fields
- **score** (int): Quality score representing relevance to finance and economics.
- **text** (string): The main content of the webpage.
- **url** (string): The source URL.

### Format
The dataset is pre-filtered and scored using regex-based financial keywords. It retains only entries meeting a financial relevance threshold.

## Languages
The dataset is predominantly in **English**, but some entries may include multilingual content due to the source data.

## License
This dataset is released under the [Open Data Commons Attribution License (ODC-By) v1.0](https://opendatacommons.org/licenses/by/1.0/), in accordance with the original dataset’s licensing.

### Help Here
Like my work? Want to see more? Custom request? Message me on discord: joseph.flowers.ra Donate here: https://buymeacoffee.com/josephgflowers

## Citation
If you use this dataset, please cite the original Fineweb-Edu-Fortified dataset:

```bibtex
@dataset{airtrain2024finewebedu,
  title={Fineweb-Edu-Fortified},
  author={Airtrain AI},
  year={2024},
  url={https://huggingface.co/datasets/airtrain-ai/fineweb-edu-fortified}
}