Datasets:
Update README.md
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README.md
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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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license: cc-by-nc-sa-4.0
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task_categories: ["automatic-speech-recognition"]
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language: ["vi"]
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pretty_name: VLSP 2020 - VinAI - ASR challenge dataset
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size_categories: ["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: train
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path: data/train-*
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---
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# unofficial mirror of VLSP 2020 - VinAI - ASR challenge dataset
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official announcement:
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- tiếng việt: https://institute.vinbigdata.org/events/vinbigdata-chia-se-100-gio-du-lieu-tieng-noi-cho-cong-dong/
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- in eglish: https://institute.vinbigdata.org/en/events/vinbigdata-shares-100-hour-data-for-the-community/
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official download: https://drive.google.com/file/d/1vUSxdORDxk-ePUt-bUVDahpoXiqKchMx/view?usp=sharing
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contact: [email protected]
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100h, 56.4k samples, accuracy 96%
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pre-process: merge all transcript text files into 1, remove token `<unk>`
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need to do: restore foreign words phonetised to vietnamese
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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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dataset = load_dataset("doof-ferb/vlsp2020_vinai_100h", 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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```
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