Update README.md

README.md

@@ -39,4 +39,67 @@ dataset_info:
     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](https://de.openlegaldata.io/), which I also brought onto Huggingface [here](LennardZuendorf/openlegaldata-bulk-data).
+
+#### The Entire Dataset Is In German
+
+- **Github Repository:** 
+- **Repository:** [Bulk Data](https://static.openlegaldata.io/dumps/de/)
+
+## 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](https://huggingface.co/datasets/LennardZuendorf/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](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.