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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    FileNotFoundError
Message:      datasets/AITRADER/dutch-tts-labeled-complete@main/audio/0c/0c9e9901a7aec002.wav
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1953, in __iter__
                  batch = formatter.format_batch(pa_table)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 472, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 234, in decode_batch
                  return self.features.decode_batch(batch, token_per_repo_id=self.token_per_repo_id) if self.features else batch
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2147, in decode_batch
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1409, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/audio.py", line 203, in decode_example
                  f = xopen(path, "rb", download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 935, in xopen
                  file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 135, in open
                  return self.__enter__()
                         ^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 103, in __enter__
                  f = self.fs.open(self.path, mode=mode)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/spec.py", line 1293, in open
                  f = self._open(
                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 275, in _open
                  return HfFileSystemFile(self, path, mode=mode, revision=revision, block_size=block_size, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 947, in __init__
                  self.details = fs.info(self.resolved_path.unresolve(), expand_info=False)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 716, in info
                  _raise_file_not_found(path, None)
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 1138, in _raise_file_not_found
                  raise FileNotFoundError(msg) from err
              FileNotFoundError: datasets/AITRADER/dutch-tts-labeled-complete@main/audio/0c/0c9e9901a7aec002.wav

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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

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
words_per_minute 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/cml_tts_dataset_dutch (40%)
  • google/fleurs (0.1%)

License

CC-BY-4.0

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