metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 361607522962
      num_examples: 98600
  download_size: 256213612292
  dataset_size: 361607522962
license: cc0-1.0
task_categories:
  - automatic-speech-recognition
  - text-to-speech
language:
  - da
pretty_name: Nota
size_categories:
  - 10K<n<100K

Dataset Card for Nota

Dataset Description

Repository: https://sprogtek-ressources.digst.govcloud.dk/nota
Point of Contact: Dan Saattrup Nielsen
Size of downloaded dataset files: 256.21 GB
Size of the generated dataset: 361.62 GB
Total amount of disk used: 617.83 GB

Dataset Summary

This data was created by the public institution Nota, which is part of the Danish Ministry of Culture. Nota has a library audiobooks and audiomagazines for people with reading or sight disabilities. Nota also produces a number of audiobooks and audiomagazines themselves.

The dataset consists of audio and associated transcriptions from Nota's audiomagazines "Inspiration" and "Radio/TV". All files related to one reading of one edition of the magazine "Inspiration" or "Radio/TV" has been segmented into bits of 2 - 50 seconds.

The dataset has been published as a part of the initiative sprogteknologi.dk, within the Danish Agency for Digital Government (DIGST).

Supported Tasks and Leaderboards

Automatic speech recognition and speech synthesis are the intended tasks for this dataset. No leaderboard is active at this point.

Languages

The dataset is available in Danish (da).

Dataset Structure

Data Instances

Size of downloaded dataset files: 256.21 GB
Size of the generated dataset: 361.62 GB
Total amount of disk used: 617.83 GB

An example from the dataset looks as follows.

{
  'audio': {'path': 'RMHL20190028_000140.wav',
  'array': array([-0.04023849, -0.06235407, -0.04545404, ...,  0.00014322,
          0.00017925,  0.00018811]),
  'sampling_rate': 16000},
 'text': '13:05: 24syv Dokumentar 14:05: Spørge Jørgen Vært: Jørgen Leth'
}

Data Fields

The data fields are the same among all splits.

audio: an Audio feature.
text: a string feature.

Dataset Statistics

There are 98,600 samples in the dataset.

Transcription Length Distribution

Additional Information

Dataset Curators

Dan Saattrup Nielsen from the The Alexandra Institute reorganised the dataset and uploaded it to the Hugging Face Hub.

Licensing Information

The dataset is licensed under the CC0 license.