Update README.md

README.md

@@ -14,11 +14,89 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 361607522962.0
+    num_bytes: 361607522962
     num_examples: 98600
   download_size: 256213612292
-  dataset_size: 361607522962.0
+  dataset_size: 361607522962
+license: cc0-1.0
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+language:
+- da
+pretty_name: Nota
+size_categories:
+- 10K<n<100K
 ---
-# Dataset Card for "nota-parquet"
+# Dataset Card for Nota
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Description
+
+- **Repository:** <https://sprogtek-ressources.digst.govcloud.dk/nota>
+- **Point of Contact:** [Dan Saattrup Nielsen](mailto:[email protected])
+- **Size of the dataset:** 361.62 GB
+
+### Dataset Summary
+
+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.  
+
+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.
+
+The dataset has been published as a part of the initiative sprogteknologi.dk, within the [Danish Agency for Digital Government (DIGST)](www.digst.dk).
+
+
+### Supported Tasks and Leaderboards
+
+Automatic speech recognition and speech synthesis are the intended tasks for this dataset. No leaderboard is active at this point.
+
+
+### Languages
+
+The dataset is available in Danish (`da`).
+
+
+## Dataset Structure
+
+### Data Instances
+
+- **Size of the dataset:** 361.62 GB
+
+An example from the dataset looks as follows.
+```
+{
+  'audio': {'path': 'RMHL20190028_000140.wav',
+  'array': array([-0.04023849, -0.06235407, -0.04545404, ...,  0.00014322,
+          0.00017925,  0.00018811]),
+  'sampling_rate': 16000},
+ 'text': '13:05: 24syv Dokumentar 14:05: Spørge Jørgen Vært: Jørgen Leth'
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `audio`: an `Audio` feature.
+- `text`: a `string` feature.
+
+
+### Dataset Statistics
+
+There are 98,600 samples in the dataset.
+
+#### Transcription Length Distribution
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/60d368a613f774189902f555/vyyeMoH3XUXsjgRRxCUuB.png)
+
+
+## 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/).