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AVeriTeC is a dataset and accompanying baseline for real-world claim verification that uses evidence from the web. The dataset is formatted as JSON and organized into splits under the data/ folder, with each claim including fields such as claim, label, justification, claim_date, speaker, original_claim_url, and the fact-checking article. The repository provides code and utilities (e.g., eval.py, utils.py) to train, evaluate, and reproduce baselines for claim verification.
AI named AVeriTeC in January 2026.