| --- |
| 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} |
| } |
| ``` |
| --- |
|
|
