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  ---
 
 
 
 
 
 
 
 
 
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  dataset_info:
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  features:
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  - name: audio
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  - split: test
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  path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - automatic-speech-recognition
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+ - text-to-speech
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+ language:
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+ - vi
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+ pretty_name: a novel large-scale Vietnamese speech corpus (LSVSC)
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+ size_categories:
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+ - 10K<n<100K
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  dataset_info:
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  features:
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  - name: audio
 
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  - split: test
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  path: data/test-*
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  ---
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+
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+ # unofficial mirror of LSVSC dataset (novel large-scale Vietnamese speech corpus)
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+
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+ official announcement: https://www.mdpi.com/2079-9292/13/5/977
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+
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+ official download: https://drive.google.com/drive/folders/1tiPKaIOC7bt6isv5qFqf61O_2jFK8ZOI
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+
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+ 100h, 57k samples
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+
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+ pre-process: remove non-sense characters: `\r` `\n`
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+
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+ need to do: check misspelling, restore foreign words phonetised to vietnamese
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+
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+ usage with HuggingFace:
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+ ```python
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+ # pip install -q "datasets[audio]"
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+ from datasets import load_dataset
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+ from torch.utils.data import DataLoader
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+
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+ dataset = load_dataset("doof-ferb/LSVSC", split="train", streaming=True)
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+ dataset.set_format(type="torch", columns=["audio", "transcription"])
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+ dataloader = DataLoader(dataset, batch_size=4)
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+ ```