tc5-exp / tc7 /dataset.py
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Implement TaikoConformer7 model, loss function, preprocessing, and training pipeline
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from datasets import load_dataset, concatenate_datasets
ds1 = load_dataset("JacobLinCool/taiko-2023-1.1", split="train")
ds2 = load_dataset("JacobLinCool/taiko-2023-1.2", split="train")
ds3 = load_dataset("JacobLinCool/taiko-2023-1.3", split="train")
ds4 = load_dataset("JacobLinCool/taiko-2023-1.4", split="train")
ds5 = load_dataset("JacobLinCool/taiko-2023-1.5", split="train")
ds6 = load_dataset("JacobLinCool/taiko-2023-1.6", split="train")
ds7 = load_dataset("JacobLinCool/taiko-2023-1.7", split="train")
ds = concatenate_datasets([ds1, ds2, ds3, ds4, ds5, ds6, ds7]).with_format("torch")
good = list(range(len(ds)))
good.remove(1079) # 1079 has file problem
ds = ds.select(good)
# for local test
# ds = (
# load_dataset("JacobLinCool/taiko-2023-1.6", split="train")
# .with_format("torch")
# .select(range(10))
# )