README.md

metadata

license: mit
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: court
      struct:
        - name: id
          dtype: int64
        - name: jurisdiction
          dtype: string
        - name: level_of_appeal
          dtype: string
        - name: name
          dtype: string
        - name: state
          dtype: int64
    - name: file_number
      dtype: string
    - name: date
      dtype: timestamp[s]
    - name: type
      dtype: string
    - name: content
      dtype: string
    - name: tenor
      dtype: string
    - name: facts
      dtype: string
    - name: reasoning
      dtype: string
  splits:
    - name: three
      num_bytes: 169494251
      num_examples: 2828
    - name: two
      num_bytes: 183816899
      num_examples: 4954
  download_size: 172182482
  dataset_size: 353311150
task_categories:
  - text-classification
language:
  - de
tags:
  - legal
pretty_name: Edited German Court case decision
size_categories:
  - 1K<n<10K

Dataset Card for openlegaldata.io bulk case data

Dataset Description

This is a edit/cleanup of Bulk Data of openlegaldata.io, which I also brought onto Huggingface here.

The Entire Dataset Is In German

• Github Repository: [uniArchive-legalis]](https://github.com/LennardZuendorf/uniArchive-legalis)
• Repository: Bulk Data

Edit Summary

I have done some cleaning and splitting of the data and filtered out large parts that were not (easily) usable, cutting down the number of cases to at max 4000 - from 250000. This results in two different splits. Which is because German Courts don't format their case decision the same way.

Data Fields

Independent of the split, most fields are the same, they are:

id	court	file_number	date	type	content
numeric id	name of the court that made the decision	file number of the case ("Aktenzeichen")	decision date	type of the case decision	entire content (text) of the case decision

Additionally, I added 3 more fields because of the splitting of the content:

Two Split

• Case Decision I could split into two parts: tenor and reasoning.
• Which means the three fields tenor, content and facts contain the following:

tenor	reasoning	facts
An abstract, legal summary of the cases decision	the entire rest of the decision, explaining in detail why the decision has been made	an empty text field

Three Split

• Case Decision I could split into three parts: tenor, reasoning and facts
• This Data I have used to create binary labels with the help of ChatGPT, see legalis for that
• The three fields tenor, content and facts contain the following:

tenor	reasoning	facts
An abstract, legal summary of the cases decision	the entire rest of the decision, explaining in detail why the decision has been made	the facts and details of a case

Languages

• German

Additional Information

Licensing/Citation Information

The openlegaldata platform is licensed under the MIT license, you can access the dataset by citing the original source, openlegaldata.io and me, Lennard Zündorf as the editor of this dataset.