A dataset for improving automated fact-checking by addressing leaked and unreliable web-collected evidence. read more of CREDULE: A Dataset for Evidence Verification

A robust benchmark for multimodal misinformation detection, including out-of-context and miscaptioned images, that mitigates unimodal biases. read more of VERITE: A Dataset for Image-Text Verification

LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content read more of General Claim detection model - LESA

XLM-RoBERTa model which was trained during experiments in order to create models capable of detecting check-worthy claims in the widest achievable range. read more of General Claim detection model - XLM-RoBERTa

mDeBERTa V3 model which was trained during experiments in order to create models capable of detecting check-worthy claims in the widest achievable range. read more of General Claim detection model - mDeBERTa V3

The General Claim dataset is a diverse, harmonized dataset created for the task of check-worthy claim detection, addressing the limitations of narrow, specialized datasets currently used in the field. Constructed from five pre-existing datasets, it emphas... read more of General Claim dataset

A framework for evaluating LLM on iterative game content refinement read more of LLMAKER - Consistent Game Content Creation via LLMs

MAD-TSC is a multilingual aligned dataset for target-dependent sentiment classification (TSC) on the news domain. read more of MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification