README.md

metadata

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 dataset.
It includes both scripted and unscripted recordings, across different domains.

We provide two configurations for different use cases.

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📂 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

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])