---
dataset_info:
  features:
  - name: client_id
    dtype: string
  - name: path
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 48000
  - name: sentence
    dtype: string
  - name: up_votes
    dtype: int64
  - name: down_votes
    dtype: int64
  - name: age
    dtype: string
  - name: gender
    dtype: string
  - name: accent
    dtype: string
  - name: locale
    dtype: string
  - name: segment
    dtype: string
  - name: variant
    dtype: string
  splits:
  - name: train
    num_bytes: 766704586.16
    num_examples: 28410
  - name: validation
    num_bytes: 313465645.896
    num_examples: 10471
  - name: test
    num_bytes: 324424906.951
    num_examples: 10471
  - name: other
    num_bytes: 1278124475.45
    num_examples: 41586
  - name: invalidated
    num_bytes: 496946510.64
    num_examples: 15120
  download_size: 2715306320
  dataset_size: 3179666125.0969996
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
  - split: other
    path: data/other-*
  - split: invalidated
    path: data/invalidated-*
task_categories:
- automatic-speech-recognition
language:
- ar
pretty_name: Common Voice 18 Arabic Edition
license: cc
---

# Dataset Card for Common Voice 18 – Arabic Edition

## Dataset Summary

This dataset is an **unofficial Arabic-only extraction of Mozilla Common Voice Corpus 18.0**, prepared for **Automatic Speech Recognition (ASR)** research and development.

It is derived from the original Common Voice 18 release and filtered to include **Arabic (`ar`) speech data only**, while preserving the original dataset structure, splits, and metadata fields. The dataset consists of validated, unvalidated, and invalidated speech recordings paired with Arabic transcriptions and speaker metadata.

* **Language:** Arabic (`ar`)
* **Task:** Automatic Speech Recognition (ASR)
* **Audio Sampling Rate:** 48 kHz
* **License:** CC-0 (Public Domain)
* **Source:** Mozilla Common Voice Corpus 18.0

---

## Supported Tasks and Leaderboards

* Automatic Speech Recognition (ASR)
* Speech-to-Text (STT)
* Arabic acoustic and language modeling
* Speaker and accent analysis (limited metadata)

---

## Dataset Structure

### Data Instances

Each data sample includes:

* An audio recording of spoken Arabic
* A corresponding sentence (transcription)
* Speaker metadata (age, gender, accent, locale)
* Voting-based validation information

### Features

| Feature Name | Type            | Description                     |
| ------------ | --------------- | ------------------------------- |
| `client_id`  | `string`        | Anonymous speaker identifier    |
| `path`       | `string`        | Relative path to the audio file |
| `audio`      | `audio (48kHz)` | Speech waveform                 |
| `sentence`   | `string`        | Arabic transcription            |
| `up_votes`   | `int64`         | Number of positive validations  |
| `down_votes` | `int64`         | Number of negative validations  |
| `age`        | `string`        | Speaker age group               |
| `gender`     | `string`        | Speaker gender                  |
| `accent`     | `string`        | Speaker accent (if provided)    |
| `locale`     | `string`        | Locale information              |
| `segment`    | `string`        | Recording segment ID            |
| `variant`    | `string`        | Sentence variant                |

---

### Dataset Splits

| Split       | Examples    | Size         |
| ----------- | ----------- | ------------ |
| Train       | 28,410      | ~766 MB      |
| Validation  | 10,471      | ~313 MB      |
| Test        | 10,471      | ~324 MB      |
| Other       | 41,586      | ~1.28 GB     |
| Invalidated | 15,120      | ~497 MB      |
| **Total**   | **105,058** | **~3.18 GB** |

---

## How to Use

### Load with 🤗 Datasets

```python
from datasets import load_dataset

dataset = load_dataset("MohamedRashad/common-voice-18-arabic", split="train")
```

### Streaming Mode

```python
from datasets import load_dataset

dataset = load_dataset(
    "MohamedRashad/common-voice-18-arabic",
    split="train",
    streaming=True
)

print(next(iter(dataset)))
```

### PyTorch DataLoader

```python
from datasets import load_dataset
from torch.utils.data import DataLoader

dataset = load_dataset("MohamedRashad/common-voice-18-arabic", split="train")
dataloader = DataLoader(dataset, batch_size=32, shuffle=True)
```

---

## Dataset Creation

This dataset was created by:

1. Downloading **Mozilla Common Voice Corpus 18.0**
2. Filtering the corpus to include **Arabic language data only**
3. Preserving original splits and metadata
4. Converting the data into Hugging Face `datasets` format

No additional annotation or modification of audio or text was performed.

---

## Licensing Information

This dataset is released under the **Creative Commons Zero (CC-0)** license, the same as the original Mozilla Common Voice dataset.
You are free to use, modify, and redistribute it without restriction.

---

## Citation

If you use this dataset, please cite the original Common Voice paper:

```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
}
```

---

## Acknowledgements

Thanks to **Mozilla** and the thousands of volunteer contributors who made the Common Voice project possible.