Datasets:
File size: 3,956 Bytes
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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
```python
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
```bibtex
@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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