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YTClickbait21K is a human-annotated dataset of 21,238 YouTube videos for clickbait detection research. It includes video metadata like titles, descriptions, and thumbnails, along with binary clickbait labels from three annotators per video. The dataset was uploaded by Md. Minhazul Islam to figshare on April 9, 2026.
Dataset is licensed under CC-BY-4.0. The main file is a CSV, but the total download size is 2.4 GB, likely due to included thumbnail images.