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Datasets:
alexandrainst
/
ftspeech

Tasks:
Automatic Speech Recognition
Modalities:
Audio
Text
Formats:
parquet
Languages:
Danish
Size:
1M - 10M
ArXiv:
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
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metadata
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

Dataset Summary

This dataset is an upload of the FT Speech dataset.

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

Transcription Length Distribution

ftspeech-length-distribution.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

Dan Saattrup Nielsen from the The Alexandra Institute reorganised the dataset and uploaded it to the Hugging Face Hub.

Licensing Information

The dataset is licensed under this custom license.

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}
}