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---
language_creators:
- found
language: en
multilinguality: monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
pretty_name: England and Wales Court Judgments Raw
tags:
- england
- wales
- appeal court
- criminal court
- judgements
dataset_info:
features:
- name: _id
dtype: string
- name: citation
dtype: string
- name: signature
dtype: string
- name: date
dtype: 'null'
- name: publicationDate
dtype: timestamp[s]
- name: type
dtype: string
- name: excerpt
dtype: string
- name: content
dtype: string
- name: judges
sequence: string
- name: caseNumbers
sequence: string
- name: citation_references
sequence: string
- name: legislation
sequence: string
- name: file_name
dtype: string
- name: appeal_type
dtype: string
- name: appeal_outcome
dtype: string
- name: xml_uri
dtype: string
- name: uri
dtype: string
splits:
- name: train
num_bytes: 168731254
num_examples: 6154
download_size: 86560561
dataset_size: 168731254
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
{
"language_creators": ["found"],
"language": ["en"],
"multilinguality": ["monolingual"],
"size_categories": ["1K<n<10K"],
"source_datasets": ["original"],
"pretty_name": "England and Wales Appeal Court Judgements Criminal Division",
"tags": ["England and Wales court"]
}
# 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**
- **Repository: [github](https://github.com/pwr-ai/JuDDGES)**
- **Paper: TBA**
- **Point of Contact: lukasz.augustyniak@pwr.edu.pl; jakub.binkowski@pwr.edu.pl; albert.sawczyn@pwr.edu.pl; s.tirunagari@mdx.ac.uk**
### Dataset Summary
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
## Dataset Structure
### Data Instances
<details>
<summary> Click to expand </summary>
{
"id": "f6cd705ac63edfaca5b2d48495f9bc7d60d7c17e33561314961f7fffe7a1d99e",
"citation": "[2020] EWCA Crim 467",
"signature": "EWCA_Crim_467",
"date": null,
"publicationDate": "2020-03-13",
"type": "crown_court",
"excerpt": "WARNING: reporting restrictions may apply to the contents transcribed in this document, particularly if the case concerned a sexual offence or involved a child. Reporting restrictions prohibit the publication of the applicable information to the public or any section of the public, in writing, in a broadcast or by means of the internet, including social media. Anyone who receives a copy of this transcript is responsible in law for making sure that applicable restrictions are not breached. A pers",
"content": "WARNING: reporting restrictions may apply to the contents transcribed in this document, particularly if the case concerned a sexual offence or involved a child. Reporting restrictions prohibit the publication of the applicable information to the public or any section of the public, in writing, in a broadcast or by means of the internet, including social media. Anyone who receives a copy of this transcript is responsible in law for making sure that applicable restrictions are not breached. A person who breaches a reporting restriction is liable to a fine and/or imprisonment. For guidance on whether reporting restrictions apply, and to what information, ask at the court office or take legal advice.\nThis Transcript is Crown Copyright. It may not be reproduced in whole or in part other than in accordance with relevant licence or with the express consent of the Authority. All rights are reserved.\nNo. 201904686 B3\nIN THE COURT OF APPEAL\nCRIMINAL DIVISION\n[2020] EWCA Crim 467\nRoyal Courts of Justice\nFriday, 13 March 2020\nBefore:\nLORD JUSTICE HADDON-CAVE\nMRS JUSTICE CARR DBE\nMR JUSTICE PEPPERALL\nREGINA\nV\nPAUL ROBERT HESSEY\nREPORTING RESTRICTIONS APPLY:\nTHE SEXUAL OFFENCES (AMENDMENT) ACT 1992\n_________\nComputer-aided Transcript prepared from the Stenographic Notes of Opus 2 International Ltd.\nOfficial Court Reporters and Audio Transcribers\n5 New Street Square, London, EC4A 3BF\nTel: 020 7831 5627 Fax: 020 7831 7737\nCACD.ACO@opus2.digital\n_________\nJ U D G M E N T\nMRS JUSTICE CARR:\n1\nOn 29 November 2019 in Derby Crown Court the appellant was convicted of nine counts of sexual offending. The provisions of the\nSexual Offences (Amendment) Act 1992\napply to these offences. Under those provisions, where a sexual offence has been committed against a person, no matter relating to that person shall during that person's lifetime be included in any publication if it is likely to lead members of the public to identify that person as the victim of that offence. This prohibition applies unless waived or lifted in accordance with\ns.3\nof\nthe Act\n.\n2\nThe appellant appeals his conviction on Count 7, being a count of indecent assault contrary to\ns.14(1)\nof the\nSexual Offences Act 1956\n. Count 7 was a multiple incident count of indecent assault by the applicant putting his penis in the vagina of the complainant on at least ten occasions. The incidents occurred during the period December 1996 to December 1998 when the complainant was aged 14 or 15. The offending behaving would have been charged as unlawful sexual intercourse with a girl under 16 contrary to\ns.6(1)\nof the\nSexual Offences Act 1956\n. However, that offence bears a time restriction contained in s.37(2) and para.10 sch.2 of that act: a prosecution for such an offence may not be commenced more than 12 months after the offence charged. That was why the offence was charged with an offence contrary to\ns.14(1)\nof the\nSexual Offences Act 1956\n.\n3\nFollowing the decision in\nR v J\n[2004] UKHL 42\n, the Crown was in fact precluded from prosecuting the appellant for the offence on Count 7 under\ns.14(1)\nof the\nSexual Offences Act 1956\nin such circumstances. Thus, and as the prosecution rightly concedes, Count 7 should never have been on the indictment or allowed to go to the jury.\n4\nThe appeal will accordingly be allowed to this extent. The conviction on Count 7 will be quashed.\n__________\nOPUS 2 DIGITAL TRANSCRIPTION\nCERTIFICATE\nOpus 2 International Limited hereby certifies that the above is an accurate and complete record of the Judgment or part thereof.\nTranscribed by\nOpus 2 International Limited\nOfficial Court Reporters and Audio Transcribers\n5\nNew Street Square, London, EC4A 3BF\nTel: 020 7831 5627 Fax: 020 7831 7737\nCACD.ACO@opus2.digital\nThis transcript has been approved by the Judge.",
"judges": ["LORD JUSTICE HADDON"],
"caseNumbers": ["201904"],
"citation_references": ["[2004] UKHL 42"],
"legislation": ["s.6(1)", "Sexual Offences Act 1956", "s.14(1)", "Sexual Offences (Amendment) Act 1992", "the Act", "s.3"],
"file_name": "2020_03_13-4860.xml",
"appeal_type": null,
"appeal_outcome": null,
"xml_uri": "https://caselaw.nationalarchives.gov.uk/ewca/crim/2020/467/data.xml",
"uri": "https://caselaw.nationalarchives.gov.uk/id/ewca/crim/2020/467"
}
</details>
### Data Fields
| Feature name | Feature description | Type |
|---------------------|---------------------------------------------------|--------|
| _id | Unique identifier of the judgment | string |
| citation | Citation of the judgment | string |
| signature | Signature identifier of the judgment | string |
| date | Hearing date of the judgment | string |
| publicationDate | Date when the judgment was published | string |
| type | Categorized court type | string |
| excerpt | Excerpt from the judgment header | string |
| content | Full text content of the judgment | string |
| judges | List of judges involved in the judgment | list |
| caseNumbers | List of case numbers associated with the judgment | list |
| citation_references | List of cited case references | list |
| legislation | List of referenced legislations | list |
| file_name | Name of the file containing the judgment | string |
| appeal_type | Type of appeal | string |
| appeal_outcome | Outcome of the appeal | string |
| xml_uri | URI of the XML file | string |
| uri | URI of the original document | string |
### Data Splits
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).
### Curation Rationale
Created to enable cross-jurisdictional legal analytics.
### Source Data
#### Initial Data Collection and Normalization
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.
#### Who are the source language producers?
Produced by human legal professionals (judges, court clerks). Demographics was not analysed. Sourced from public court databases.
### Annotations
#### Annotation process
No annotation was performed by us. All features were provided 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 }
![png](README_files/README_4_0.png){ width=400px }
![png](README_files/README_5_0.png){ width=400px }
![png](README_files/README_6_0.png){ width=400px }
![png](README_files/README_7_0.png){ width=400px }
![png](README_files/README_8_0.png){ width=400px }
![png](README_files/README_9_0.png){ width=400px }
## 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/
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