task_categories:automatic-speech-recognition size_categories:100K<n<1M language:da license:other region:us
---
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

There are 995,677 samples in the training split, 2,601 in the dev_balanced split, 7,595 in the dev_other split, 5,534 in the test_balanced and 5,837 in the test_other split.

#### Speakers

There are 374 unique speakers in the training dataset, 20 unique speakers in the validation dataset and 40 unique speakers in the test dataset. None of the dataset splits share any speakers.

#### 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}
}
```