|
|
--- |
|
|
dataset_info: |
|
|
- config_name: all |
|
|
features: |
|
|
- name: id |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: audio |
|
|
- name: audio_language |
|
|
dtype: string |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: prompt |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 10017108673 |
|
|
num_examples: 24840 |
|
|
- name: dev |
|
|
num_bytes: 1098068265 |
|
|
num_examples: 2535 |
|
|
- name: dev_test |
|
|
num_bytes: 540536401 |
|
|
num_examples: 1413 |
|
|
download_size: 11646212136 |
|
|
dataset_size: 11655713339 |
|
|
- config_name: new_duration_30s |
|
|
features: |
|
|
- name: id |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: audio |
|
|
- name: audio_language |
|
|
dtype: string |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: type |
|
|
dtype: string |
|
|
- name: prompt |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 6157169634 |
|
|
num_examples: 116180 |
|
|
- name: dev |
|
|
num_bytes: 662997924 |
|
|
num_examples: 13825 |
|
|
- name: dev_test |
|
|
num_bytes: 361871063 |
|
|
num_examples: 6910 |
|
|
download_size: 7153302446 |
|
|
dataset_size: 7182038621 |
|
|
configs: |
|
|
- config_name: all |
|
|
data_files: |
|
|
- split: train |
|
|
path: all/train-* |
|
|
- split: dev |
|
|
path: all/dev-* |
|
|
- split: dev_test |
|
|
path: all/dev_test-* |
|
|
- config_name: new_duration_30s |
|
|
data_files: |
|
|
- split: train |
|
|
path: new_duration_30s/train-* |
|
|
- split: dev |
|
|
path: new_duration_30s/dev-* |
|
|
- split: dev_test |
|
|
path: new_duration_30s/dev_test-* |
|
|
language: |
|
|
- ki |
|
|
--- |
|
|
|
|
|
# Kikuyu Speech Dataset |
|
|
|
|
|
This dataset contains **Kikuyu speech audio with transcriptions**, sourced and adapted from the [ANV Data KE](https://huggingface.co/datasets/MCAA1-MSU/anv_data_ke) dataset. |
|
|
It includes both **scripted** and **unscripted** recordings, across different domains. |
|
|
|
|
|
We provide two configurations for different use cases. |
|
|
|
|
|
--- |
|
|
|
|
|
## 📂 Dataset Structure |
|
|
|
|
|
### Configurations |
|
|
- **all**: Full dataset (all durations, **unscripted only**). |
|
|
- **new_duration_30s**: Audio samples ≤ 30 seconds (**scripted + unscripted**). |
|
|
|
|
|
### Features |
|
|
Each entry has the following fields: |
|
|
|
|
|
- `id`: string |
|
|
- `audio`: Audio() |
|
|
- `audio_language`: string |
|
|
- `text`: string (transcription if available) |
|
|
- `type`: string (`scripted` or `unscripted`) |
|
|
- `prompt`: string |
|
|
- `duration`: float64 (in seconds) |
|
|
- `speaker_id`: string |
|
|
|
|
|
--- |
|
|
|
|
|
## 📊 Dataset Statistics |
|
|
|
|
|
### **Unscripted only (all durations, `all`)** |
|
|
| Split | Hours | #Examples | |
|
|
|-------------|---------|-----------| |
|
|
| train | 322.2h | 24,840 | |
|
|
| dev | 35.4h | 2,535 | |
|
|
| dev_test | 17.2h | 1,413 | |
|
|
|
|
|
--- |
|
|
|
|
|
|
|
|
### **Scripted + Unscripted (≤30s, `new_duration_30s`)** |
|
|
|
|
|
| Metric | train | dev | dev_test | **Total** | |
|
|
|------------------|---------:|--------:|---------:|----------:| |
|
|
| Total Hours | 185.8h | 20.0h | 10.9h | 216.7h | |
|
|
| Scripted Hours | 153.6h | 16.6h | 8.2h | 178.4h | |
|
|
| Unscripted Hours | 32.2h | 3.3h | 2.6h | 38.1h | |
|
|
| #Examples | 116,180 | 13,825 | 6,910 | 136,915 | |
|
|
|
|
|
--- |
|
|
|
|
|
## 🛠️ Usage |
|
|
|
|
|
```python |
|
|
from datasets import load_dataset |
|
|
|
|
|
# Load full unscripted dataset |
|
|
ds = load_dataset("evie-8/kikuyu-data", "all") |
|
|
|
|
|
# Load 30s filtered dataset (scripted + unscripted) |
|
|
ds_30s = load_dataset("evie-8/kikuyu-data", "new_duration_30s") |
|
|
|
|
|
print(ds_30s["train"][0]) |
