Update README.md

README.md

@@ -48,7 +48,7 @@ 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.
-**!!!PER ERIK - COULD YOU PLEASE UPDATE THIS? 1-2 paragraphs. FOR PEOPLE NOT BOTHERING TO READ THE ARTICLE!!! 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... This is X days of transcripts of parliamentary speeches. Each day XX hours. Most without any manuscript. They are split into XXXXX based on.... The id allows you to combine this into single sound files....**
+**!!! COULD YOU PLEASE UPDATE THIS? 1-2 paragraphs. FOR PEOPLE NOT BOTHERING TO READ THE ARTICLE!!! 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... This is X days of transcripts of parliamentary speeches. Each day XX hours. Most without any manuscript. They are split into XXXXX based on.... The id allows you to combine this into single sound files....**
 
 ## How to Use
 ```python
@@ -81,14 +81,14 @@ The NPSC dataset contains json lines with language training data. Here is an exa
 
 
 ```
-## Data Fields (!!!!PER ERIK - We really need a descrption here - and maybe some cleaning!!!)
+## Data Fields (!!!!We really need a descrption here - and maybe some cleaning!!!)
 |**id:** | String with id to source of line and a unique identifier|
 |:-----------|:------------|
 |**sentence_order** | String with order of sentence |
 |**speaker id** | Integer id of speaker |
 | **speaker_name** | String name of speaker |
 | **sentence_text** | String sentence text |
-| **sentence_language_code** | String sentence text (!!!PER ERIK - LIST ALL ALTERNATIVES!!!)|
+| **sentence_language_code** | String sentence text (!!!LIST ALL ALTERNATIVES!!!)|
 | **text** | String sentence text. This is a copy of "sentence_text". It is included here to make it more convenient to interleave with other datasets.|
 | **start_time** | int start time |
 | **end_time** | int end time |
@@ -101,7 +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. 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. !!!!!PER ERIK - Verify that this is correct!!!!!!!!!!!!!!!
+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. !!!!!Verify that this is correct!!!!!!!!!!!!!!!
 
 
 #### Initial Data Collection
@@ -121,13 +121,13 @@ The procedure for the dataset creation is described in detail in our paper.
 |      | Male: 61.7% | 
 
 
-!!!PER ERIK - It would be great to know how many hours of Bokmål/Nynorsk/English(?) here!!!!!
+!!!It would be great to know how many hours of Bokmål/Nynorsk/English(?) here!!!!!
 
 ## Considerations for Using the Data
 This corpus contains speech data. All recordings are of parliament members in a public setting, and can be distributed without any restrains.
 
 ### Dataset Creators and Curators
-The content of the dataset was done by Språkbanken. !!!!!FILL IN HERE PER ERIK!!!!!!!!!!!!!!!. [Javier de la Rosa](mailto:javier.rosa@nb.no), [Freddy Wetjen](mailto:Freddy.wetjen@nb.no), [Per Egil Kummervold](mailto:per.kummervold@nb.no), and [Andre Kaasen](mailto:andre.kasen@nb.no) all contributed in making this into a HuggingFace Dataset. Thanks to the HuggingFace team for assistance.
+The content of the dataset was done by Språkbanken. !!!!!!!!!!!!!!!!!!!!. [Javier de la Rosa](mailto:javier.rosa@nb.no), [Freddy Wetjen](mailto:Freddy.wetjen@nb.no), [Per Egil Kummervold](mailto:per.kummervold@nb.no), and [Andre Kaasen](mailto:andre.kasen@nb.no) all contributed in making this into a HuggingFace Dataset. Thanks to the HuggingFace team for assistance.
 
 ## License
 The sound and the transcriptions are released under the [CC-ZERO-license](https://creativecommons.org/publicdomain/zero/1.0/). The curation of the HuggingFace Dataset is released under [CC-BY-SA-3-license](https://creativecommons.org/licenses/by-sa/3.0/).