metadata
dataset_info:
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: sentence_id
dtype: string
- name: sentence
dtype: string
- name: sentence_domain
dtype: float64
- 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: 789265790.389
num_examples: 29729
- name: validation
num_bytes: 369795596.496
num_examples: 10668
- name: test
num_bytes: 392020138.464
num_examples: 10668
download_size: 1388202923
dataset_size: 1551081525.349
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_21_0
- asr
- automatic_speech_recognition
- persian
- farsi
- persian_language
pretty_name: Common Voice 21.0
Common Voice 21.0 - Persian (fa)
This is the filtered Persian (farsi) version of the latest (21.0) Common Voice dataset, including only fully validated samples with zero down votes (down_votes = 0).
📊 Dataset Statistics
🔹 Train Set (train)
| Metric |
Value |
| Number of samples |
29,729 |
| Total duration |
31.53 hours (113505.36 seconds) |
| Average sample duration |
3.82 seconds |
🔹 Validation Set (validation)
| Metric |
Value |
| Number of samples |
10,668 |
| Total duration |
12.60 hours (45376.80 seconds) |
| Average sample duration |
4.25 seconds |
🔹 Test Set (test)
| Metric |
Value |
| Number of samples |
10,668 |
| Total duration |
14.65 hours (52735.08 seconds) |
| Average sample duration |
4.94 seconds |
📈 Overall Statistics
| Metric |
Value |
| Number of splits |
3 |
| Total number of samples |
51,065 |
| Total duration |
58.78 hours (211617.24 seconds) |
| Average sample duration |
4.14 seconds |
🧪 Usage
from datasets import load_dataset, Audio
dataset = load_dataset("aliyzd95/common_voice_21_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}
}
