---
dataset_info:
  config_name: hi
  features:
  - name: path
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: sentence
    dtype: string
  - name: condition_on_prev
    sequence: int64
  - name: whisper_transcript
    dtype: string
  splits:
  - name: train
    num_bytes: 634978222.0
    num_examples: 717
  - name: validation
    num_bytes: 359634707.0
    num_examples: 405
  - name: test
    num_bytes: 501454543.0
    num_examples: 575
  download_size: 1400598630
  dataset_size: 1496067472.0
configs:
- config_name: hi
  data_files:
  - split: train
    path: hi/train-*
  - split: validation
    path: hi/validation-*
  - split: test
    path: hi/test-*
---

# Common Voice 16.1 Hindi Pseudo-Labelled

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 
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).