---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: text
    dtype: string
  - name: speaker_id
    dtype: int64
  - name: age
    dtype: int64
  - name: sex
    dtype: string
  - name: dialect
    dtype: string
  - name: recording_datetime
    dtype: string
  splits:
  - name: train
    num_bytes: 55199435558.0
    num_examples: 182605
  - name: test
    num_bytes: 8894080220.0
    num_examples: 54747
  download_size: 5358057252
  dataset_size: 64093515778.0
size_categories:
- 100K<n<1M
license: cc0-1.0
task_categories:
- automatic-speech-recognition
- text-to-speech
language:
- da
pretty_name: NST-da
---
# Dataset Card for NST-da

## Dataset Description

- **Repository:** <https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-55/>
- **Point of Contact:** [Dan Saattrup Nielsen](mailto:dan.nielsen@alexandra.dk)
- **Size of downloaded dataset files:** 5.36 GB
- **Size of the generated dataset:** 64.09 GB
- **Total amount of disk used:** 69.45 GB

### Dataset Summary

This dataset is an upload of the [NST Danish ASR Database (16 kHz) – reorganized](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-55/).

The training and test splits are the original ones.


### Supported Tasks and Leaderboards

Training automatic speech recognition is the intended task 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:** 5.36 GB
- **Size of the generated dataset:** 64.09 GB
- **Total amount of disk used:** 69.45 GB

An example from the dataset looks as follows.
```
{
  'audio': {
    'path': 'dk14x404-05072000-1531_u0008121.wav',
    'array': array([ 0.00265503,  0.00248718,  0.00253296, ..., -0.00030518,
                    -0.00035095, -0.00064087]),
    'sampling_rate': 16000
  },
  'text': 'Desuden er der en svømmeprøve, en fremmedsprogstest samt en afsluttende samtale.',
  'speaker_id': 404,
  'age': 24,
  'sex': 'Female',
  'dialect': 'Storkøbenhavn',
  'recording_datetime': '2000-07-05T15:31:14'
}
```

### Data Fields

The data fields are the same among all splits.

- `audio`: an `Audio` feature.
- `text`: a `string` feature.
- `speaker_id`: an `int64` feature.
- `age`: an `int64` feature.
- `sex`: a `string` feature.
- `dialect`: a `string` feature.
- `recording_datetime`: a `string` feature.


### Dataset Statistics

There are 183,205 samples in the training split, and 54,747 samples in the test split.

#### Speakers

There are 539 unique speakers in the training dataset and 56 unique speakers in the test dataset, where 54 of them are also present in the training set.

#### Age Distribution

![nst-da-age-distribution.png](https://cdn-uploads.huggingface.co/production/uploads/60d368a613f774189902f555/iNMmVXXda7LtzgZEHe1eq.png)

#### Dialect Distribution

![nst-da-dialect-distribution.png](https://cdn-uploads.huggingface.co/production/uploads/60d368a613f774189902f555/sckW27xYUz8apMwbLebvD.png)

#### Sex Distribution

![nst-da-sex-distribution.png](https://cdn-uploads.huggingface.co/production/uploads/60d368a613f774189902f555/8Q7ZunYaLQ3laOc7yQvI8.png)

#### Transcription Length Distribution

![nst-da-length-distribution.png](https://cdn-uploads.huggingface.co/production/uploads/60d368a613f774189902f555/W_LA2nydEZuEeK_Z_x2LE.png)


## Dataset Creation

### Curation Rationale

There are not many large-scale ASR datasets in Danish.

### Source Data

The data originates from the now bankrupt company Nordisk språkteknologi (NST), whose data was transferred to the National Library of Norway, who subsequently released it into the public domain.


## 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/).