This dataset provides episode-level viewer behavior data for OTT (streaming) TV series, focused on drop-off patterns, retention risk, and engagement dynamics across episodes and seasons.
Unlike traditional catalog datasets (genres, ratings, cast), this dataset is designed to support realistic retention analysis, similar to how streaming platforms study when and why viewers stop watching.
Each row⦠See the full description on the dataset page: https://huggingface.co/datasets/Eklavya16/ott-viewer-dropoff-retention.