airefinery/esg_cid_retrieval
Enhancing Retrieval for ESGLLM via ESG-CID -- A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS Usage from datasets import load_dataset # document chunks: train/dev/test_gri/test_esrs documents = load_dataset("esgllm/esg_cid_retrieval", "documents") # queries (disclosure text): train/dev/test_gri/test_esrs queries = load_dataset("esgllm/esg_cid_retrieval", "queries") # training triplets: train/dev triplets =… See the full description on the dataset page: https://huggingface.co/datasets/airefinery/esg_cid_retrieval.
Enhancing Retrieval for ESGLLM via ESG-CID -- A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS
Usage
from datasets import load_dataset
# document chunks: train/dev/test_gri/test_esrs
documents = load_dataset("esgllm/esg_cid_retrieval", "documents")
# queries (disclosure text): train/dev/test_gri/test_esrs
queries = load_dataset("esgllm/esg_cid_retrieval", "queries")
# training triplets: train/dev
triplets = load_dataset("esgllm/esg_cid_retrieval", "triplets")
# evaluation qrels: test_gri/test_esrs
qrels = load_dataset("esgllm/esg_cid_retrieval", "qrels")
Citation
If you find this dataset useful in your research, please consider citing the following paper:
@misc{ahmed2025enhancingretrievalesgllmesgcid,
title={Enhancing Retrieval for ESGLLM via ESG-CID -- A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS},
author={Shafiuddin Rehan Ahmed and Ankit Parag Shah and Quan Hung Tran and Vivek Khetan and Sukryool Kang and Ankit Mehta and Yujia Bao and Wei Wei},
year={2025},
eprint={2503.10674},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2503.10674},
}License
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