Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Central Kurdish
Size:
100K - 1M
License:
| language: | |
| - ckb | |
| license: other | |
| task_categories: | |
| - automatic-speech-recognition | |
| pretty_name: Central Kurdish Speech Dataset | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-*.parquet | |
| dataset_info: | |
| features: | |
| - name: audio | |
| dtype: audio | |
| - name: audio_filename | |
| dtype: string | |
| - name: transcription | |
| dtype: string | |
| - name: category | |
| dtype: string | |
| - name: speaker_id | |
| dtype: string | |
| - name: gender | |
| dtype: string | |
| - name: cer | |
| dtype: float32 | |
| - name: downvotes | |
| dtype: int32 | |
| - name: upvotes | |
| dtype: int32 | |
| - name: validator | |
| dtype: string | |
| - name: source | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_examples: 260571 | |
| # Central Kurdish Speech Dataset | |
| This dataset contains Central Kurdish speech recordings | |
| with audio embedded inside Parquet files. | |
| ## Loading | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("aranemini/bawajai", split="train") | |
| print(dataset) | |
| print(dataset[0]) | |
| ``` | |
| ## Fields | |
| - `audio`: embedded audio | |
| - `audio_filename`: original audio filename | |
| - `transcription`: Kurdish transcription | |
| - `category`: validation category | |
| - `speaker_id`: anonymous speaker identifier | |
| - `gender`: speaker gender or `-` | |
| - `cer`: character error rate | |
| - `downvotes`: validation downvotes | |
| - `upvotes`: validation upvotes | |
| - `validator`: validator identifier | |
| - `source`: original source | |
| The `validated_at` field is intentionally excluded. | |
| ## Statistics | |
| - Recordings: 260,571 | |
| - Speakers: 496 | |
| - Parquet files: 261 | |
| - Maximum examples per Parquet: 1,000 | |
| ### Categories | |
| - `manually-validated`: 136,285 | |
| - `automatically-validated`: 108,459 | |
| - `automatically-qualified`: 15,827 | |
| ### Gender | |
| - `female`: 132,403 | |
| - `male`: 87,105 | |
| - `-`: 41,063 | |