WHATX/ESG_Report

1---2license: mit3language:4- en5tags:6- financial7- report8- nlp9- esg10size_categories:11- 1K<n<10K12---13# ESG Report PDF Dataset14 15## Download Instructions16To download the dataset, follow these steps:17 181. Navigate to the `data` directory in the GitHub repository:19   ```bash20   cd data21   ```22 232. Install Git LFS (if not already installed):24   ```bash25   git lfs install26   ```27 283. Clone the dataset from Hugging Face Hub:29   ```bash30   git clone https://huggingface.co/datasets/WHATX/ESG_Report31   ```32 33---34 35## Dataset Description36 37This dataset contains three main components:38 391. **raw_pdf**:40   - A collection of 195 PDFs scraped from [TCFD Hub](https://www.tcfdhub.org/).41   - The PDFs are ESG-related reports published by various companies.42 432. **raw_txt**:44   - The corresponding text files converted from the PDFs using the PDF Parser tool.45   - These files provide easy access to the textual content of the reports.46 473. **target_list**:48   - A summary of statistical information about the dataset.49   - This includes metadata about the reports and other relevant statistics.50 51---52 53## License and Usage54 55- The original PDFs are copyrighted by [TCFD Hub](https://www.tcfdhub.org/) and the respective companies that published the reports.56- This dataset is provided **strictly for research purposes** and is not intended for commercial use.57- License: mit58 59---60 61## 📄 Citation62 63If 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 using64 65```66@article{wu2024susgen,67  title={SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation},68  author={Wu, Qilong and Xiang, Xiaoneng and Huang, Hejia and Wang, Xuan and Jie, Yeo Wei and Satapathy, Ranjan and Veeravalli, Bharadwaj and others},69  journal={arXiv preprint arXiv:2412.10906},70  year={2024}71}72```73 74---