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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: VLSP 2020 - VinAI - ASR challenge dataset |
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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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dtype: audio |
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- name: transcription |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 17159347574.893 |
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num_examples: 56427 |
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download_size: 11649243045 |
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dataset_size: 17159347574.893 |
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configs: |
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- config_name: default |
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data_files: |
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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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- VLSP 2020 workshop: https://vlsp.org.vn/vlsp2020 |
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official download: https://drive.google.com/file/d/1vUSxdORDxk-ePUt-bUVDahpoXiqKchMx/view?usp=sharing |
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contact: info@vinbigdata.org |
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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: check misspelling, 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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``` |
