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WHATX/ESG_Report

ESG Report PDF Dataset Download Instructions To download the dataset, follow these steps: Navigate to the data directory in the GitHub repository: cd data Install Git LFS (if not already installed): git lfs install Clone the dataset from Hugging Face Hub: git clone https://huggingface.co/datasets/WHATX/ESG_Report Dataset Description This dataset contains three main components: raw_pdf: A collection of 195 PDFs scraped from TCFD Hub. The… See the full description on the dataset page: https://huggingface.co/datasets/WHATX/ESG_Report.

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ESG Report PDF Dataset

Download Instructions

To download the dataset, follow these steps:

  1. 1.Navigate to the data directory in the GitHub repository:
bash
   cd data
  1. 1.Install Git LFS (if not already installed):
bash
   git lfs install
  1. 1.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. 1.raw_pdf:
  2. 2.A collection of 195 PDFs scraped from TCFD Hub.
  3. 3.The PDFs are ESG-related reports published by various companies.
  1. 1.raw_txt:
  2. 2.The corresponding text files converted from the PDFs using the PDF Parser tool.
  3. 3.These files provide easy access to the textual content of the reports.
  1. 1.target_list:
  2. 2.A summary of statistical information about the dataset.
  3. 3.This includes metadata about the reports and other relevant statistics.

License and Usage

  • The original PDFs are copyrighted by TCFD Hub 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 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}
}