Update README.md

README.md

@@ -48,32 +48,14 @@ task_ids:
 - **Point of Contact:** [Per Erik Solberg](mailto:per.solberg@nb.no)
 
 The Norwegian Parliament Speech Corpus (NPSC) is a corpus for training a Norwegian ASR (Automatic Speech Recognition) models.
+**!!!NEDS TO BE UPDATED!!! We need a real description here. About one paragraph summing up that is on the main web page, and telling how this dataset is the same but different - ie it is in a streaming format...**
 
 ## How to Use
 ```python
+# Loads the 16K Bokmål corpus in streaming mode
 from datasets import load_dataset
-data = load_dataset("NbAiLab/NPSC", streaming=True)
+data = load_dataset("NbAiLab/NPSC", config="16K_mp3_bokmaal", streaming=True)
 ```
-## Download Data
-If you do not want to use the HuggingFace Dataset-library for training, or if you want to do additional pre-processing, it is also possible to download the files locally.
-```bash
-# Clone the training set
-git clone https://huggingface.co/datasets/NbAiLab/NPSC
-
-# Create one large training file of all shards without unpacking
-cat NPSC/data/train*.gz > onefile.json.gz
-```
-
-<details>
-<summary>List of all the files.</summary>
-
-
-* [eval](https://huggingface.co/datasets/NbAiLab/NPSC/resolve/main/data/eval.json.gz)
-* [test](https://huggingface.co/datasets/NbAiLab/NPSC/resolve/main/data/test.json.gz)
-* [train](https://huggingface.co/datasets/NbAiLab/NPSC/resolve/main/data/train.json.gz)
-
-
-</details>
 
 ### Dataset Summary
 The NPSC dataset contains json lines with language training data. Here is an example json line:
@@ -119,7 +101,7 @@ The NPSC dataset contains json lines with language training data. Here is an exa
 
 ### Dataset Creation
 We are providing a **train** and a **validation** split. The standard size of the validation is a single 1GB file, while train is sharded in 1GB chunks.
-All files are gzipped.
+All files are gzipped. There is also a **test** split available for the dataset but this is hidden. Please contact [Per Erik Solberg](mailto:per.erik.solberg@nb.no) for access to the test set.
 
 Build date: 22012022
 
@@ -142,21 +124,20 @@ The procedure for the dataset creation is described in detail in our paper.
 ## Considerations for Using the Data
 This corpus contains speech data and is allowed to be used outside the National Library of Norway for speech recognition technology purposes.
 
-### Discussion of Biases
-Please refer to our paper.
-
 ### Dataset Curators
-[Freddy Wetjen](mailto:Freddy.wetjen@nb.no) and [Andre Kaasen](mailto:andre.kasen@nb.no)
+[Freddy Wetjen](mailto:Freddy.wetjen@nb.no) and [Andre Kaasen](mailto:andre.kasen@nb.no) **!!!NEDS TO BE UPDATED!!! Underline the origin of the data and the project. Add Javier de la Rosa and Per Egil Kummervold to the people having worked on this!!!**
 
 ### Licensing Information
 Licensed for use outside the National Library of Norway.
 
 ## License
-CC-ZERO(https://creativecommons.org/publicdomain/zero/1.0/)
+The dataset is released under the [CC-ZERO-license](https://creativecommons.org/publicdomain/zero/1.0/). The curation of the data
 
 ### Citation Information
 We are preparing an article with detailed information about this corpus. Until it is published, please cite out paper discussing the first version of this corpus:
 ```
+
+**!!!NEDS TO BE UPDATED!!!**
 @inproceedings{kummervold-etal-2021-operationalizing,
 title = {Operationalizing a National Digital Library: The Case for a {N}orwegian Transformer Model},
 author = {Kummervold, Per E  and