The Film dataset is a large collection of audio files with full metadata, including chords, instrumentation, key, tempo, and timestamps. This dataset is designed for machine learning applications and serves as a reliable resource for generative AI music, Music Information Retrieval (MIR), and source separation. With an emphasis on expanding machine learning attempts, the dataset allows researchers to delve into the complexities of film music, enabling the development of algorithms capable of generating creative compositions that genuinely represent the emotive nuances of various genres.

Film music, an essential component of cinematic storytelling, plays an important role in increasing spectator engagement and emotional resonance. Composers work collaboratively with filmmakers to create music that enhance visual aspects, set the tone, and reinforce story themes.

Training models on this cinema dataset allows researchers to better grasp and mimic these artistic details, extending the bounds of AI-generated music and contributing to advances in MIR and source separation.