File size: 2,430 Bytes
3a1f378 1f58227 3a1f378 1f58227 3a1f378 1f58227 3a1f378 1f58227 3a1f378 1f58227 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
# Dataset_STT
This dataset is designed for speech-to-text (STT) tasks and contains audio files along with their corresponding transcripts for the Uzbek language. The dataset is organized into two main directories: one for the audio files and another for the transcript files. Each of these directories is further divided by language (`uz`) and by the data split: `train`, `test`, and `validation`.
## Dataset Structure
Dataset_STT/
├── audio/
│ ├── uz/
│ │ ├── test/
│ │ │ └── test.tar
│ │ ├── train/
│ │ │ └── train.tar
│ │ └── validation/
│ │ └── validation.tar
├── transcript/
│ ├── uz/
│ │ ├── test/
│ │ │ └── test.tsv
│ │ ├── train/
│ │ │ └── train.tsv
│ │ └── validation/
│ │ └── validation.tsv
## Files Description
- **Audio Files:**
The audio files are stored as tar archives for each data split (train, test, and validation). Each tar archive contains the actual audio recordings (e.g., in MP3 format).
- **Transcript Files:**
The transcript files are provided in TSV format with the following columns:
- `id`
- `path` (the filename of the audio file within the tar archive)
- `sentence` (the transcription)
- `duration` (audio duration in seconds)
- `age`
- `gender`
- `accents`
- `locale`
- **Custom Loader (`dataset_stt.py`):**
This script extracts audio files from the tar archives and pairs them with their metadata from the transcript TSV files. It returns the audio data using the `datasets.Audio` feature (with a sampling rate of 16000 Hz), which enables interactive playback in the Hugging Face dataset viewer.
## How to Load the Dataset
You can load the dataset using the Hugging Face `datasets` library. For example:
```python
from datasets import load_dataset
data_files = {
"train": {"audio": "audio/uz/train/train.tar", "transcript": "transcript/uz/train/train.tsv"},
"test": {"audio": "audio/uz/test/test.tar", "transcript": "transcript/uz/test/test.tsv"},
"validation": {"audio": "audio/uz/validation/validation.tar", "transcript": "transcript/uz/validation/validation.tsv"}
}
dataset = load_dataset("Elyordev/Dataset_STT", data_files=data_files)
print(dataset)
|