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AITRADER/dutch-tts-labeled-complete

Dutch TTS Dataset - Complete Labeled A comprehensive Dutch text-to-speech dataset with 596,508 audio samples totaling 234GB of audio data. Quick Preview The default config shows a 100-row sample for the dataset viewer. To access the full dataset, use the full config. Dataset Description This dataset contains Dutch speech recordings with rich metadata including: Emotion labels (neutral, happy, sad, angry) Speaker IDs (239,388 unique speakers)… See the full description on the dataset page: https://huggingface.co/datasets/AITRADER/dutch-tts-labeled-complete.

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Dataset Card

Dutch TTS Dataset - Complete Labeled

A comprehensive Dutch text-to-speech dataset with 596,508 audio samples totaling 234GB of audio data.

Quick Preview

The default config shows a 100-row sample for the dataset viewer. To access the full dataset, use the full config.

Dataset Description

This dataset contains Dutch speech recordings with rich metadata including:

—Emotion labels (neutral, happy, sad, angry)
—Speaker IDs (239,388 unique speakers)
—Prosodic features (pitch mean/std, speaking rate)
—Audio quality metrics (SNR)
—Normalized text transcriptions

Dataset Statistics

Statistic	Value
Total samples	596,508
Total audio size	~234 GB
Audio format	WAV, 16kHz mono
Unique speakers	239,388
Avg duration	~10 seconds

Emotion Distribution

—neutral: 545,079 (91.4%)
—happy: 51,124 (8.6%)
—sad: 291 (0.05%)
—angry: 40 (0.01%)

Loading the Dataset

python

from datasets import load_dataset

# Load sample (100 rows) - for quick testing
dataset = load_dataset("AITRADER/dutch-tts-labeled-complete")

# Load full dataset (596k rows) - use streaming for large data
dataset = load_dataset("AITRADER/dutch-tts-labeled-complete", "full", streaming=True)

for sample in dataset["train"]:
    print(sample["text"], sample["emotion"])
    # sample["audio"] contains the audio array
    break

Features

Feature	Type	Description
audio	Audio	Audio waveform (16kHz)
sampling_rate	int	Always 16000 Hz
duration	float	Duration in seconds
text	string	Original transcription
text_normalized	string	Normalized transcription
speaker_id	string	Unique speaker identifier
emotion	string	Emotion label
emotion_confidence	float	Confidence score (0-1)
valence	float	Emotional valence (0-1)
arousal	float	Emotional arousal (0-1)
pitch_mean	float	Mean pitch in Hz
pitch_std	float	Pitch standard deviation
wordsperminute	float	Speaking rate
snr_db	float	Signal-to-noise ratio in dB
dataset_source	string	Original dataset source

Data Sources

—facebook/multilingual_librispeech (60%)
—freds0/cmlttsdataset_dutch (40%)
—google/fleurs (0.1%)

License

CC-BY-4.0