"Multi-dimensional Movie Screening and Box Office Performance Time-Series Dataset"

"This dataset compiles multi-dimensional time-series data on movie screenings and box office performance from 2019 to 2024, designed to provide empirical support for optimizing dynamic cinema scheduling strategies and box office forecasting. The data encompasses daily core operational metrics for films, including current box office revenue, number of screenings, occupancy rates, average ticket prices, prime-time strength (Gold_Strength), market share, and days running. Characterized by strong temporal dependencies and state-transition features, this dataset is particularly well-suited for training and evaluating sequential decision-making models and deep reinforcement learning algorithms (such as LSTM-SAC). It enables researchers and practitioners to explore dynamic scheduling mechanisms in complex market environments to maximize cinema revenue and resource allocation."