CryptOpiQA: A new Opinion and Question Answering dataset on Cryptocurrency
Sougata Sarkar, Aditya Badwal, Amartya Roy, Koustav Rudra, Kripabandhu Ghosh
Abstract
Cryptocurrency has attracted a lot of public attention and opinion worldwide. Users have different kinds of information needs regarding such topics and publicly available information is a good resource to satisfy those information needs. In this paper, we investigate the public opinion on cryptocurrency and bitcoin on two social media – Twitter and Reddit. We have created a multi-level dataset CryptOpiQA and garnered valuable insights. The dataset contains both gold standard (manually annotated) and silver standard (inferred from the gold standard) labels. As a part of this dataset, we have also created a Question Answering sub-corpus. We have used state-of-the-art LLMs and advanced techniques such as retrieval augmented generation (RAG) to improve question-answering (QnA) results. We believe this dataset and the analysis will be useful in studying user opinions and Question-Answering on cryptocurrency in the research community.
BibTeX
@inproceedings{sarkar-etal-2025-cryptopiqa,
title = "{C}rypt{O}pi{QA}: A new Opinion and Question Answering dataset on Cryptocurrency",
author = "Sarkar, Sougata and
Badwal, Aditya and
Roy, Amartya and
Rudra, Koustav and
Ghosh, Kripabandhu",
editor = "Rambow, Owen and
Wanner, Leo and
Apidianaki, Marianna and
Al-Khalifa, Hend and
Eugenio, Barbara Di and
Schockaert, Steven",
booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.coling-main.736/",
pages = "11107--11120"
}