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Datasets:
saattrupdan
/
drtv-asr

Tasks:
Automatic Speech Recognition
Modalities:
Audio
Text
Formats:
parquet
Languages:
Danish
Size:
1M - 10M
Libraries:
Datasets
Dask
Polars
Dataset card Data Studio Files
xet
 Community

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DRTV ASR

Danish speech with aligned caption text from DRTV programmes, prepared for automatic speech-recognition training.

Access requests are reviewed manually.

Data

The training split contains approximately 5.15 million caption-aligned cues and 6,311 hours of audio after retaining segments between 1 and 8 seconds.

Audio is stored cue-by-cue as mono OGG/Opus inside Parquet shards. Source audio is sampled at 16 kHz, and the Hugging Face Audio feature exposes it at 16 kHz. Opus uses its standard internal 48 kHz representation when decoded before resampling. Text is stored as provided by the aligned WebVTT captions without additional normalization.

Fields:

  • id: Stable cue identifier.
  • audio: Embedded OGG/Opus cue audio.
  • text: Caption transcription.
  • language: Language code (da).
  • duration: Cue duration in seconds.
  • source_id: Source programme identifier.
  • start: Cue start time in the source programme.
  • end: Cue end time in the source programme.

Streaming 

from datasets import load_dataset

stream = load_dataset("saattrupdan/drtv-asr", split="train", streaming=True)
example = next(iter(stream))
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