metadata

dataset_info:
  features:
    - name: client_id
      dtype: string
    - name: path
      dtype: string
    - name: sentence_id
      dtype: string
    - name: sentence
      dtype: string
    - name: up_votes
      dtype: int64
    - name: down_votes
      dtype: int64
    - name: age
      dtype: string
    - name: gender
      dtype: string
    - name: accents
      dtype: string
    - name: variant
      dtype: float64
    - name: locale
      dtype: string
    - name: segment
      dtype: float64
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
  splits:
    - name: train
      num_bytes: 803679362.289
      num_examples: 29789
    - name: validation
      num_bytes: 369560771.408
      num_examples: 10676
    - name: test
      num_bytes: 391035493.648
      num_examples: 10676
  download_size: 1389414072
  dataset_size: 1564275627.345
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
task_categories:
  - automatic-speech-recognition
language:
  - fa
tags:
  - common_voice
  - common_voice_22_0
  - asr
  - automatic_speech_recognition
  - persian
  - farsi
  - persian_language
pretty_name: Common Voice 22.0

Common Voice 22.0 - Persian (fa)

This is an unofficial filtered Persian (Farsi) version of the latest Common Voice dataset version 22.0, obtained from the official Mozilla Common Voice platform at https://commonvoice.mozilla.org/en/datasets. It contains carefully curated and fully validated audio samples aimed at providing a clean and reliable resource for speech processing in Persian. As with the previous version, this dataset is not an official Mozilla release but a community-prepared subset designed to improve the dataset's applicability and quality.

📊 Dataset Statistics

🔹 Train Set (`train`)

Metric	Value
Number of samples	29,789
Total duration	31.56 hours (113617.07 seconds)
Average sample duration	3.81 seconds

🔹 Validation Set (`validation`)

Metric	Value
Number of samples	10,676
Total duration	12.63 hours (45459.50 seconds)
Average sample duration	4.26 seconds

🔹 Test Set (`test`)

Metric	Value
Number of samples	10,676
Total duration	14.65 hours (52738.05 seconds)
Average sample duration	4.94 seconds

📈 Overall Statistics

Metric	Value
Number of splits	3
Total number of samples	51,141
Total duration	58.84 hours (211814.62 seconds)
Average sample duration	4.14 seconds

🧪 Usage

from datasets import load_dataset, Audio

dataset = load_dataset("aliyzd95/common_voice_22_0_fa", split="train")
dataset = dataset.cast_column("audio", Audio(sampling_rate=16000))
print(dataset[0]['audio'])

📜 Licensing Information

Public Domain, CC-0

📚 Citation

@inproceedings{commonvoice:2020,
  author    = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
  title     = {Common Voice: A Massively-Multilingual Speech Corpus},
  booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
  pages     = {4211--4215},
  year      = {2020}
}