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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_info: |
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features: |
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- name: audio |
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dtype: |
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audio: |
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sampling_rate: 16000 |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 361607522962 |
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num_examples: 98600 |
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download_size: 256213612292 |
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dataset_size: 361607522962 |
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license: cc0-1.0 |
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task_categories: |
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- automatic-speech-recognition |
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- text-to-speech |
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language: |
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- da |
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pretty_name: Nota |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for Nota |
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## Dataset Description |
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- **Repository:** <https://sprogtek-ressources.digst.govcloud.dk/nota> |
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- **Point of Contact:** [Dan Saattrup Nielsen](mailto:[email protected]) |
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- **Size of downloaded dataset files:** 256.21 GB |
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- **Size of the generated dataset:** 361.62 GB |
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- **Total amount of disk used:** 617.83 GB |
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### Dataset Summary |
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This data was created by the public institution [Nota](https://nota.dk/), which is part of the Danish Ministry of Culture. Nota has a library audiobooks and audiomagazines for people with reading or sight disabilities. Nota also produces a number of audiobooks and audiomagazines themselves. |
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The dataset consists of audio and associated transcriptions from Nota's audiomagazines "Inspiration" and "Radio/TV". All files related to one reading of one edition of the magazine "Inspiration" or "Radio/TV" has been segmented into bits of 2 - 50 seconds. |
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The dataset has been published as a part of the initiative sprogteknologi.dk, within the [Danish Agency for Digital Government (DIGST)](www.digst.dk). |
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### Supported Tasks and Leaderboards |
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Automatic speech recognition and speech synthesis are the intended tasks for this dataset. No leaderboard is active at this point. |
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### Languages |
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The dataset is available in Danish (`da`). |
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## Dataset Structure |
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### Data Instances |
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- **Size of downloaded dataset files:** 256.21 GB |
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- **Size of the generated dataset:** 361.62 GB |
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- **Total amount of disk used:** 617.83 GB |
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An example from the dataset looks as follows. |
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``` |
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{ |
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'audio': {'path': 'RMHL20190028_000140.wav', |
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'array': array([-0.04023849, -0.06235407, -0.04545404, ..., 0.00014322, |
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0.00017925, 0.00018811]), |
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'sampling_rate': 16000}, |
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'text': '13:05: 24syv Dokumentar 14:05: Spørge Jørgen Vært: Jørgen Leth' |
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} |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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- `audio`: an `Audio` feature. |
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- `text`: a `string` feature. |
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### Dataset Statistics |
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There are 98,600 samples in the dataset. |
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#### Transcription Length Distribution |
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## Additional Information |
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### Dataset Curators |
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[Dan Saattrup Nielsen](https://saattrupdan.github.io/) from the [The Alexandra |
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Institute](https://alexandra.dk/) reorganised the dataset and uploaded it to the Hugging Face Hub. |
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### Licensing Information |
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The dataset is licensed under the [CC0 |
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license](https://creativecommons.org/share-your-work/public-domain/cc0/). |
