| --- |
| 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 |
|
|
|  |
|
|
| #### Dialect Distribution |
|
|
|  |
|
|
| #### Sex Distribution |
|
|
|  |
|
|
| #### Transcription Length Distribution |
|
|
|  |
|
|
|
|
| ## 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/). |