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cnmat/human_performance_dataset

Human performance dataset Piano MIDI dataset used for training and evaluation. Layout and processing: Source: MAESTRO (or similar) with a prompt (or user_prompt) per piece. Augmentation: dataset_preprocess/augment_dataset.py adds pitch/time/velocity variants; output CSV lists originals and augmented files. Grouping: dataset_preprocess/group_dataset.py copies MIDIs into grouped/ as composer/genre/filename.mid (and augmented/composer/genre/ for augmented). Genre is taken from the… See the full description on the dataset page: https://huggingface.co/datasets/cnmat/human_performance_dataset.

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Human performance dataset

Piano MIDI dataset used for training and evaluation. Layout and processing:

—Source: MAESTRO (or similar) with a prompt (or user_prompt) per piece.
—Augmentation: dataset_preprocess/augment_dataset.py adds pitch/time/velocity variants; output CSV lists originals and augmented files.
—Grouping: dataset_preprocess/group_dataset.py copies MIDIs into grouped/ as composer/genre/filename.mid (and augmented/composer/genre/ for augmented). Genre is taken from the prompt text. Writes final.csv with paths under grouped/.
—Inference CSV: From grouped/ (or any composer/genre/ tree), src.dataset.generate_prompt_batch builds infer.csv (systemprompt, userprompt, composer, genre) for batch inference.

See dataset_preprocess/dataset_preprocess.md in the repo for commands and details.