MIDI-44: Added handling of multiple datasets during training #4
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roszcz
reviewed
Sep 10, 2023
train.py
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| val_ds = load_dataset(dataset_name, split="validation") | ||
| val_ds = MidiDataset(val_ds) | ||
| if isinstance(dataset_name, (list, ListConfig)): |
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I think we shouldn't support different types for a config value. In this case I'd prefer to always have a list, and if we want to use a single dataset, it can be a one-element list.
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Now you can train CLIP on multiple datasets concatenated together.