---
dataset_info:
  features:
  - name: utterance_id
    dtype: string
  - name: speaker_gender
    dtype: string
  - name: sentence
    dtype: string
  - name: speaker_id
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  splits:
  - name: train
    num_bytes: 209434570129.268
    num_examples: 995677
  - name: dev_balanced
    num_bytes: 579692770.829
    num_examples: 2601
  - name: dev_other
    num_bytes: 1725502342.095
    num_examples: 7595
  - name: test_balanced
    num_bytes: 1158740779.222
    num_examples: 5534
  - name: test_other
    num_bytes: 1254987645.527
    num_examples: 5837
  download_size: 101776974871
  dataset_size: 214153493666.941
task_categories:
- automatic-speech-recognition
language:
- da
pretty_name: FT Speech
size_categories:
- 100K<n<1M
license: other
---
# Dataset Card for FT Speech

## Dataset Description

- **Repository:** <https://ftspeech.github.io/>
- **Point of Contact:** [Dan Saattrup Nielsen](mailto:dan.nielsen@alexandra.dk)
- **Size of downloaded dataset files:** 101.78 GB
- **Size of the generated dataset:** 214.15 GB
- **Total amount of disk used:** 315.93 GB

### Dataset Summary

This dataset is an upload of the [FT Speech dataset](https://ftspeech.github.io/).

The training, validation 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:** 101.78 GB
- **Size of the generated dataset:** 214.15 GB
- **Total amount of disk used:** 315.93 GB

An example from the dataset looks as follows.
```
{
  'utterance_id': 'S001_20151_M012_P00034-2',
  'speaker_gender': 'F',
  'sentence': 'alle de fem tekniske justeringer der er en del af lovforslaget',
  'speaker_id': 'S001',
  'audio': {
    'path': 'S001_20151_M012_P00034-2.wav',
    'array': array([-3.75366211e-03, -5.27954102e-03, -3.87573242e-03, ...,
                    9.15527344e-05, -1.52587891e-04,  5.79833984e-04]),
    'sampling_rate': 16000
  }
}
```

### Data Fields

The data fields are the same among all splits.

- `utterance_id`: a `string` feature.
- `speaker_gender`: a `string` feature.
- `sentence`: a `string` feature.
- `speaker_id`: a `string` feature.
- `audio`: an `Audio` feature.


### Dataset Statistics

#### Speakers

There are 57 unique speakers in the training dataset and 25 unique speakers in the test dataset. All speakers in the test dataset appear in the training dataset.

#### Gender Distribution

![ftspeech-gender-distribution.png](https://cdn-uploads.huggingface.co/production/uploads/60d368a613f774189902f555/0h_L7-riNfQbKFdYWgy01.png)

#### Transcription Length Distribution

![ftspeech-length-distribution.png](https://cdn-uploads.huggingface.co/production/uploads/60d368a613f774189902f555/z1MqsvACrY_8XNXAx0UcD.png)

## Dataset Creation

### Curation Rationale

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

### Source Data

The data constitutes public recordings of sessions from the Danish Parliament, along with manual transcriptions.


## Additional Information

### Dataset Curators

Andreas Kirkedal, Marija Stepanović and Barbara Plank curated the dataset as part of their FT Speech paper (see citation below).

[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 [this custom license](https://www.ft.dk/da/aktuelt/tv-fra-folketinget/deling-og-rettigheder).

### Citation

```
@inproceedings{ftspeech,
  author     = {Kirkedal, Andreas and Stepanović, Marija and Plank, Barbara},
  title      = {{FT Speech: Danish Parliament Speech Corpus}},
  booktitle  = {Proc. Interspeech 2020},
  year       = {2020}
}
```