UTDRM: unsupervised method for training debunked-narrative retrieval models (Dataset)

The repository contains T5 and ChatGPT generated claims for the paper "UTDRM: Unsupervised Method for Training Debunked-Narrative Retrieval Models" (EPJ Data Science Journal). The synthetically generated false claims dataset is solely for evaluation purposes and will only be made available to academic researchers following careful vetting and a signed contract, in order to prevent public harm or the spread of misinformation. Paper link: https://link.springer.com/article/10.1140/epjds/s13688-023-00437-y Model links: https://huggingface.co/iknoor/UTDRM-MPNet https://huggingface.co/iknoor/UTDRM-RoBERTa Please use the following reference if you use the dataset or models: @article{singh2023utdrm, title={UTDRM: unsupervised method for training debunked-narrative retrieval models}, author={Singh, Iknoor and Scarton, Carolina and Bontcheva, Kalina}, journal={EPJ Data Science}, volume={12}, number={1}, pages={59}, year={2023}, publisher={Springer Berlin Heidelberg} }