aliyzd95/common_voice_26_0_fa

Common Voice 26.0 - Persian (fa)

This is an unofficial filtered Persian (Farsi) version of the latest Common Voice dataset version 26.0, 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	30,385
Total duration	32.16 hours (115773.18 seconds)
Average sample duration	3.81 seconds

🔹 Validation Set (validation)

Metric	Value
Number of samples	10,752
Total duration	12.70 hours (45731.44 seconds)
Average sample duration	4.25 seconds

🔹 Test Set (test)

Metric	Value
Number of samples	10,752
Total duration	14.76 hours (53123.25 seconds)
Average sample duration	4.94 seconds

---

📈 Overall Statistics

Metric	Value
Number of splits	3
Total number of samples	51,889
Total duration	59.62 hours (214627.87 seconds)
Average sample duration	4.14 seconds

---

🧪 Usage

from datasets import load_dataset, Audio

dataset = load_dataset("aliyzd95/common_voice_26_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}
}

---