Update README.md

README.md

@@ -16,11 +16,23 @@ configs:
   - split: main
     path: data/cases.jsonl.gz
 ---
-# Clean Open Legal Data
+<h1 align="center">Clean Open Legal Data</h1>
+<h4 align="center">
+   <p>
+       <a href=#overview>Overview</a> |
+       <a href=#dataset-structure>Dataset Structure</a>  |
+       <a href=#key-fields>Key Fields</a>  |
+       <a href=#example-entry>Example Entry</a> |
+       <a href=#using-the-dataset-with-python>Using the Dataset with Python</a> |
+       <a href=#license>License</a>
+   <p>
+</h4>
+
+## Overview
 
 This dataset is a comprehensive collection of open legal case records in JSONL format. It comprises **251,038** cases extracted and processed from the [Open Legal Data dump](https://static.openlegaldata.io/dumps/de/2022-10-18/) (as of _2022-10-18_). The dataset is designed for legal research, data science, and natural language processing applications. While the majority of entries (especially _tenor_, _tatbestand_, _gründe_, and _entscheidungsgründe_) have been carefully separated and extracted, approximately **1,176** (**0.47%** of total) cases have been flagged as "_messy_" due to extraction or formatting issues. These messy entries are included for full transparency, and their "_slug_" IDs are available in [`problematic_case_slugs.txt`](https://huggingface.co/datasets/harshildarji/openlegaldata/blob/main/problematic_case_slugs.txt) so users can decide whether to filter them out or work with them. In references, law references and case references are also separated, as shown in the [example entry](#example-entry).
 
-### Dataset Structure
+## Dataset Structure
 
 ```
 ├── README.md
@@ -33,7 +45,7 @@ This dataset is a comprehensive collection of open legal case records in JSONL f
 - **Format:** JSONL
 - **Total Cases:** 251,038
 
-### Key Fields
+## Key Fields
 
 - **id:** Unique identifier for the record.
 - **file_number:** Identifier for the case (e.g., `"1 A 2639/20"`).