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---
dataset_info:
features:
- name: speaker_id
dtype: string
- name: transcription_id
dtype: int64
- name: text
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 44100
splits:
- name: train
num_bytes: 12163543668.45736
num_examples: 18863
download_size: 10460673849
dataset_size: 12163543668.45736
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc0-1.0
task_categories:
- text-to-speech
language:
- da
pretty_name: CoRal TTS
size_categories:
- 10K<n<100K
---
# Dataset Card for CoRal TTS
## Dataset Description
- **Repository:** <https://github.com/alexandrainst/coral>
- **Point of Contact:** [Dan Saattrup Nielsen](mailto:[email protected])
- **Size of downloaded dataset files:** 14.63 GB
- **Size of the generated dataset:** 15.25 GB
- **Total amount of disk used:** 29.88 GB
### Dataset Summary
This dataset consists of two professional Danish speakers, female and male, recording roughly 17 hours of Danish speech each.
The dataset is part of the [CoRal project](https://alexandra.dk/coral/) which is funded by the [Danish Innovation Fund](https://innovationsfonden.dk/en).
The text data was selected by the [Alexandra Institute](https://alexandra.dk/about-the-alexandra-institute/) ([Github repo for the dataset creation](https://github.com/alexandrainst/tts_text)) and consists of sentences from [sundhed.dk](https://sundhed.dk/), [borger.dk](https://borger.dk/), names of bus stops and stations, manually filtered Reddit comments, and dates and times.
The audio data was recorded by the public institution [Nota](https://nota.dk/), which is part of the Danish Ministry of Culture.
### Supported Tasks and Leaderboards
Speech synthesis is 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:** 14.63 GB
- **Size of the generated dataset:** 15.25 GB
- **Total amount of disk used:** 29.88 GB
An example from the dataset looks as follows.
```
{
'speaker_id': 'mic',
'transcription_id': 0,
'text': '26 rigtige.',
'audio': {
'path': 'mic_00001.wav',
'array': array([-0.00054932, -0.00054932, -0.00061035, ..., 0.00027466,
0.00036621, 0.00030518]),
'sampling_rate': 44100
}
}
```
### Data Fields
The data fields are the same among all splits.
- `speaker_id`: a `string` feature.
- `transcription_id`: an `int` feature.
- `text`: a `string` feature.
- `audio`: an `Audio` feature.
### Dataset Statistics
There are 18,863 samples in the dataset.
## Additional Information
### Dataset Curators
[Dan Saattrup Nielsen](https://saattrupdan.github.io/) from the [The Alexandra
Institute](https://alexandra.dk/) 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/). |