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Datasets:
q1805
/
common_voice_26_0_de

Tasks:
Automatic Speech Recognition
Text-to-Speech
Modalities:
Tabular
Text
Audio
Formats:
parquet
Languages:
German
Size:
100K - 1M
Tags:
audio
common-voice
german
ipa
speech-recognition
pronunciation-scoring
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
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Mozilla Common Voice 26.0 - German (IPA & Clean Validated Subset)

Repacking version of Common Voice 26.0 German officialy published by Mozilla Data Collective, following Hugging Face Parquet Shards standard, with feature for listening to audio directly on the Web Hub, and the addition of a data column for the IPA transcription of each sentence.

📊 Dataset parameters

  • Origin: Mozilla Common Voice 26.0 (version 18/06/2026).
  • Data amount (Validated): 950,877 MP3 audio clips.
  • Approx. lenght: ~1,400+ hours of multi multidialectal German.
  • Format: Parquet file, directly embeded with Audio bytes + sentence lable + IPA transcription.

🚀 Huong dan su dung

1. Directly stream audio and IPA 

from datasets import load_dataset

dataset = load_dataset("q1805/common_voice_26_0_de", split="validated", streaming=True)
sample = next(iter(dataset))

print("Van ban goc:", sample["sentence"])
print("Phien am IPA:", sample["ipa"])
print("Audio bytes:", len(sample["audio"]["bytes"]))
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Number of rows:
950,877
Total file size:
35.2 GB

Collection including q1805/common_voice_26_0_de