ESG-QA: Building a Dataset for Question Answering on Environmental, Social, and Governance Pillars

This repository contains the code and additional resources associated with the paper ESG-QA: Building a Dataset for Question Answering on Environmental, Social, and Governance Pillars, accepted for publication at LREC 2026: Language Resources and Evaluation Conference.

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CITING

Assis, G., Surica, A., Kroll, P., Mendes, G. A., Rabbani, D., Bollis, E., Pellicer, L. F. A. O., & Paes, A. (2026). ESG-QA: Building a Dataset for Question Answering on Environmental, Social, and Governance Pillars. In Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026) (pp. 5377–5388). European Language Resources Association (ELRA). https://doi.org/10.63317/23kmozdtq6yp.

BIBTEX

@inproceedings{assis-etal-2026-esg,
  title = {ESG-QA: Building a Dataset for Question Answering on Environmental, Social, and Governance Pillars},
  author = {Assis, Gabriel and Surica, Ayrton and Kroll, Pedro and Mendes, Gabriela Aires and Rabbani, Darian and Bollis, Edson and Pellicer, Lucas Francisco Amaral Orosco and Paes, Aline},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
  month = {May},
  year = {2026},
  pages = {5377--5388},
  address = {Palma, Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
  doi = {10.63317/23kmozdtq6yp},
}

FUNDING

This research was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, process 307088/2023-5); the Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ, processes SEI-260003/002930/2024 and SEI-260003/000614/2023); and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, Finance Code 001). The authors would like to thank the Instituto de Ciência e Tecnologia Itaú (ICTi). All the conclusions expressed by the authors do not reflect the opinions of Itaú Unibanco and Instituto de Ciência e Tecnologia Itaú. Also, it must not result in any commercial process. Finally, all data used in this study comply with the Brazilian General Data Protection Law (LGPD).