aliyzd95/common_voice_22_0_fa

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.

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📊 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

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📈 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

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🧪 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'])

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📜 Licensing Information

Public Domain, CC-0

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📚 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}
}

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