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---
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).
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