Update README.md

README.md

@@ -183,14 +183,14 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 This dataset is derived from case files of Turkish Commercial Courts and was prepared as part of a student project to contribute to the Turkish NLP literature.
 
 ## Source Data
-The dataset was created by collecting approximately 33,000 case rulings from open sources using web scraping methods. The dataset includes only the "summary" sections of the case rulings, where the reason for each lawsuit is typically described.
+The dataset was created by collecting approximately 33,000 case rulings from [open sources](https://emsal.uyap.gov.tr/) using web scraping methods. The dataset includes only the "summary" sections of the case rulings, where the reason for each lawsuit is typically described.
 
 ## Data Structure and Labeling
-- The dataset was adapted for sentence similarity tasks, inspired by the SNLI dataset. The goal of this project is to develop a semantic search model for identifying relevant precedent cases in legal settings.
+- The dataset was adapted for sentence similarity tasks, inspired by the [SNLI dataset](https://huggingface.co/datasets/stanfordnlp/snli). The goal of this project is to develop a semantic search model for identifying relevant precedent cases in legal settings.
 - This is the first version of the dataset, and future versions will incorporate additional metadata and employ more refined labeling techniques.
 
 ## Labeling Methodology
-To establish relationships between case files, legal articles within each case were utilized. Only commercial cases governed by the Turkish Commercial Code (TTK) are included. Articles from the TTK were aligned in a hierarchical structure, considering main and subheadings, and were transformed into a tree structure. The relationship between cases was determined by calculating distances between the articles they contain within this tree structure.
+To establish relationships between case files, legal articles within each case were utilized. Only commercial cases governed by the [Turkish Commercial Code (TTK)](https://www.mevzuat.gov.tr/mevzuat?MevzuatNo=6102&MevzuatTur=1&MevzuatTertip=5) are included. Articles from the TTK were aligned in a hierarchical structure, considering main and subheadings, and were transformed into a tree structure. The relationship between cases was determined by calculating distances between the articles they contain within this tree structure.
 
 ### Label Types
 - **Entailment:** For each case, the 7 closest cases (with lower distances indicating closer relationships) were labeled as related.