Datasets:
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---
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:[email protected])
- **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
## 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/). |