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--- |
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dataset_info: |
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config_name: hi |
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features: |
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- name: path |
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dtype: string |
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- name: audio |
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dtype: |
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audio: |
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sampling_rate: 16000 |
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- name: sentence |
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dtype: string |
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- name: condition_on_prev |
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sequence: int64 |
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- name: whisper_transcript |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 634978222.0 |
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|
num_examples: 717 |
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|
- name: validation |
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|
num_bytes: 359634707.0 |
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|
num_examples: 405 |
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|
- name: test |
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|
num_bytes: 501454543.0 |
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num_examples: 575 |
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download_size: 1400598630 |
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dataset_size: 1496067472.0 |
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configs: |
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- config_name: hi |
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data_files: |
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- split: train |
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path: hi/train-* |
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- split: validation |
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path: hi/validation-* |
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- split: test |
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path: hi/test-* |
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--- |
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# Common Voice 16.1 Hindi Pseudo-Labelled |
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This is the [Common Voice 16.1](https://huggingface.co/datasets/mozilla-foundation/common_voice_16_1) Hindi split pseudo-labelled using the [Whisper large-v3](https://huggingface.co/openai/whisper-large-v3) model, according to the instructions detailed |
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in the Distil-Whisper repository. To reproduce this pseudo-labelling run, follow the instructions detailed [here](https://github.com/huggingface/distil-whisper/tree/main/training#1-pseudo-labelling). |
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