from funasr.datasets.large_datasets.build_dataloader import LargeDataLoader
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from funasr.datasets.small_datasets.build_dataloader import build_dataloader
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def build_dataloader(args):
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if args.dataset_type == "small":
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train_iter_factory = LargeDataLoader(args, mode="train")
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valid_iter_factory = LargeDataLoader(args, mode="valid")
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elif args.dataset_type == "large":
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train_iter_factory = LargeDataLoader(args, mode="train")
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valid_iter_factory = LargeDataLoader(args, mode="valid")
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else:
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raise ValueError(f"Not supported dataset_type={args.dataset_type}")
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