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ESG_Report / README.md
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---
license: mit
language:
- en
tags:
- financial
- report
- nlp
- esg
size_categories:
- 1K<n<10K
---
# ESG Report PDF Dataset
## Download Instructions
To download the dataset, follow these steps:
1. Navigate to the `data` directory in the GitHub repository:
```bash
cd data
```
2. Install Git LFS (if not already installed):
```bash
git lfs install
```
3. Clone the dataset from Hugging Face Hub:
```bash
git clone https://huggingface.co/datasets/WHATX/ESG_Report
```
---
## Dataset Description
This dataset contains three main components:
1. **raw_pdf**:
- A collection of 195 PDFs scraped from [TCFD Hub](https://www.tcfdhub.org/).
- The PDFs are ESG-related reports published by various companies.
2. **raw_txt**:
- The corresponding text files converted from the PDFs using the PDF Parser tool.
- These files provide easy access to the textual content of the reports.
3. **target_list**:
- A summary of statistical information about the dataset.
- This includes metadata about the reports and other relevant statistics.
---
## License and Usage
- The original PDFs are copyrighted by [TCFD Hub](https://www.tcfdhub.org/) and the respective companies that published the reports.
- This dataset is provided **strictly for research purposes** and is not intended for commercial use.
- License: mit
---
## 📄 Citation
If our work assists your research or you use our data, feel free to give us a star ⭐ on [GitHub](https://github.com/JerryWu-code/SusGen) and cite us using
```
@article{wu2024susgen,
title={SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation},
author={Wu, Qilong and Xiang, Xiaoneng and Huang, Hejia and Wang, Xuan and Jie, Yeo Wei and Satapathy, Ranjan and Veeravalli, Bharadwaj and others},
journal={arXiv preprint arXiv:2412.10906},
year={2024}
}
```
---