README.md

metadata

language:
  - fa
size_categories:
  - 10K<n<100K
task_categories:
  - automatic-speech-recognition
pretty_name: CommonVoice 13 (Persian)
tags:
  - hezar
dataset_info:
  features:
    - name: client_id
      dtype: string
    - name: path
      dtype: string
    - name: audio
      dtype:
        audio:
          sampling_rate: 48000
    - name: sentence
      dtype: string
    - name: up_votes
      dtype: int64
    - name: down_votes
      dtype: int64
    - name: age
      dtype: string
    - name: gender
      dtype: string
    - name: accent
      dtype: string
    - name: locale
      dtype: string
    - name: segment
      dtype: string
    - name: variant
      dtype: string
  splits:
    - name: train
      num_bytes: 678881126
      num_examples: 28024
    - name: validation
      num_bytes: 316339631
      num_examples: 10440
    - name: test
      num_bytes: 403122439
      num_examples: 10440
  download_size: 1343358221
  dataset_size: 1398343196
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

The Persian portion of the original CommonVoice 13 dataset at https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0

Load

# Using HF Datasets
from datasets import load_dataset

dataset = load_dataset("hezarai/common-voice-13-fa", split="train")

# Using Hezar
from hezar.data import Dataset

dataset = Dataset.load("hezarai/common-voice-13-fa", split="train")