Update README.md

README.md

@@ -74,32 +74,6 @@ configs:
 
 # Dataset Card for [JuDDGES/en-court-raw](https://huggingface.co/datasets/JuDDGES/en-court-raw)
 
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-- [Statistics](#statistics)
-
 ## Dataset Description
 
 - **Homepage: TBA**
@@ -111,10 +85,6 @@ configs:
 
 The dataset consists of England and Wales Appeal Court judgements available at https://caselaw.nationalarchives.gov.uk/judgments/advanced_search?court=ewca/crim/, containing full content of the judgements from official website. This dataset contains raw data.
 
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
 ### Languages
 
 en-EN English 
@@ -175,7 +145,7 @@ This dataset is not split into subsets. The dataset has only `train` split.
 
 ## Dataset Creation
 
-For details on the dataset creation, see the paper [TBA]() and the code repository [here](https://github.com/pwr-ai/JuDDGES).
+For details on creating the dataset, see the paper [TBA]() and the code repository [here](https://github.com/pwr-ai/JuDDGES).
 
 ### Curation Rationale
 
@@ -187,57 +157,25 @@ Created to enable cross-jurisdictional legal analytics.
 
 1. Download judgements xml files.
 1. Extract raw text from XML content and details of judgments.
-1. For further processing prepare local dataset dump in parquet file, version it with dvc and push to remote storage.
+1. For further processing, prepare a local dataset dump in a parquet file, version it with DVC, and push it to remote storage.
 
 #### Who are the source language producers?
 
-Produced by human legal professionals (judges, court clerks). Demographics was not analysed. Sourced from public court databases.
+Produced by human legal professionals (judges, court clerks), it was not analyzed for demographics and was sourced from public court databases.
 
 ### Annotations
 
 #### Annotation process
 
-No annotation was performed by us. All features were provided judiciary.uk
+We performed no annotation. All features were provided by the judiciary.uk
 
 #### Who are the annotators?
 
 As above.
 
-### Personal and Sensitive Information
-
-Pseudoanonymized to comply with GDPR (art. 4 sec. 5 GDPR).
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-[More Information Needed]
 
 ## Statistics
 
-
 ![png](README_files/README_1_0.png){ width=400px }
 ![png](README_files/README_2_0.png){ width=400px }
 ![png](README_files/README_3_0.png){ width=400px }
@@ -250,7 +188,4 @@ Pseudoanonymized to comply with GDPR (art. 4 sec. 5 GDPR).
 
 ## Licensing Information
 
-These data are released under this licensing scheme.
-We do not own any text from which these data and datasets have been extracted.
-
-We license the actual packaging of these data under the Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
+We license the actual packaging of these data under Open Government Licence https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/