Update README.md

README.md

@@ -31,4 +31,56 @@ dataset_info:
     num_examples: 141
   download_size: 83977470
   dataset_size: 167714305.29455447
+task_categories:
+- text-classification
+language:
+- de
+tags:
+- legal
+pretty_name: labeled German Court case decisions
+size_categories:
+- 1K<n<10K
 ---
+
+# Dataset Card for openlegaldata.io bulk case data
+
+## Dataset Description
+
+This is a labeled version of my already edited data from [openlegaldata.io](https://de.openlegaldata.io/).
+
+#### The Entire Dataset Is In German
+
+- **Github Repository:** [uniArchive-legalis]](https://github.com/LennardZuendorf/uniArchive-legalis)
+- **Processed Data:** [openlegaldata-processed](https://huggingface.co/datasets/LennardZuendorf/openlegaldata-processed)
+- **Original Bulk Data:** [Bulk Data](https://static.openlegaldata.io/dumps/de/)
+
+## Edit Summary
+
+- This Data is based on already processed data from openlegaldata. Repositories for both can be found on Huggingface (links above).
+
+### Data Fields
+
+| id | court | file_number | date | type | content | tenor | reasoning | facts | 
+| - | - | - | - | - | - | - | - | - |
+| 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 | 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 |
+
+Additionally, I have added 2 field that label the data
+
+#### label fields
+
+- The labels are created using ChatGPT to extract/summarize the tenor (the summary of the decision) down to a winner. **This might lead to errors**. While I have checked the data occasionally, I have not check every single decision of the 2800 cases. But for my project, which was a proof of concept for University this is more than enough.
+- see Github for the used Jupyter Notebook
+
+| winner | label |
+| - | - |
+| Winner in text form - plaintiff("Kläger*in") or defendent ("Verklagte*r") | binary label: 1 if plaintiff won, 0 if defendent won |
+
+### Languages
+
+- German
+
+## Additional Information
+
+### Licensing/Citation Information
+
+The [openlegaldata platform](https://github.com/openlegaldata/oldp) is licensed under the MIT license, you can access the dataset by citing the original source, [openlegaldata.io](https://de.openlegaldata.io/) and me, [Lennard Zündorf](https://github.com/LennardZuendorf) as the editor of this dataset.