task_categories:automatic-speech-recognition task_categories:text-to-speech size_categories:10K<n<100K language:da license:cc0-1.0 region:us
---
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](mailto:dan.nielsen@alexandra.dk)
- **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](https://nota.dk/), 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)](www.digst.dk).


### 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

![image/png](https://cdn-uploads.huggingface.co/production/uploads/60d368a613f774189902f555/vyyeMoH3XUXsjgRRxCUuB.png)


## Additional Information

### Dataset Curators

[Dan Saattrup Nielsen](https://saattrupdan.github.io/) from the [The Alexandra
Institute](https://alexandra.dk/) reorganised the dataset and uploaded it to the Hugging Face Hub.

### Licensing Information

The dataset is licensed under the [CC0
license](https://creativecommons.org/share-your-work/public-domain/cc0/).