datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fever_dplace_q
FEVER-DPLACE-Q
FEVER-DPLACE-Q is a controlled English dataset of 185 manually reviewed question–answer triplets.It merges structured factual statements from FEVER (Thorne et al., 2018) and D-PLACE (Kirby et al., 2016) to study entailment, contradiction, and cultural discrepancy through generated examples.
Each entry contains two answers—one supporting and one contradicting the claim—along with reasoning outputs from multiple large language models (GPT-4o, LLaMA-3.3:70B, and… See the full description on the dataset page: https://huggingface.co/datasets/lcalvobartolome/fever_dplace_q.s2-1MLCA_mining_0