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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: train
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  path: data/train-*
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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: InfoRe Technology public dataset №2
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+ size_categories:
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+ - 100K<n<1M
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  dataset_info:
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  features:
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  - name: audio
 
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  - split: train
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  path: data/train-*
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  ---
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+
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+ # unofficial mirror of InfoRe Technology public dataset №2
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+
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+ official announcement: https://www.facebook.com/groups/j2team.community/permalink/1010834009248719/
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+
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+ 415h, 315k samples, vietnamese audiobooks of chinese wǔxiá 武俠 & xiānxiá 仙俠
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+
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+ bộ dữ liệu bóc ra từ YouTube đọc truyện võ hiệp & tiên hiệp, áp dụng kĩ thuật đối chiếu văn bản để dán nhãn tự động
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+
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+ official download: `magnet:?xt=urn:btih:41f1290325ecb6f1230ecdff2441527c9cd43fd0&dn=audiobooks.zip&tr=http%3A%2F%2Foffice.socials.vn%3A8725%2Fannounce`
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+ mirror: https://files.huylenguyen.com/audiobooks.zip
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+
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+ unzip password: `BroughtToYouByInfoRe`
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+
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+ pre-process: none
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+
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+ need to do: check misspelling
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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/infore2_audiobooks", 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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+ ```