Update README.md

README.md

@@ -19,6 +19,9 @@ size_categories:
 
 This dataset was created by scraping over 14,000 Tunisian YouTube videos, providing a rich repository of Tunisian language data. It covers a wide range of topics and text types, including politics, news, football, and more. The dataset is particularly valuable for training and fine-tuning natural language processing models specific to Tunisian Arabic and other local dialects.
 
+- **Curated by:** Nehdi Taha Mustapha & Oussama Sassi.
+- **Contact:** https://www.linkedin.com/in/taha-mustapha-nehdi-240585203/ 
+  
 ## Dataset Structure
 
 The dataset is structured in the following way:
@@ -35,6 +38,18 @@ from datasets import load_dataset
 dataset = load_dataset('Nehdi/TuniziBigBench')
 
 # Example: Print the first 5 entries from the dataset
-for entry in dataset['text'][:5]:
-    print(entry)
+for entry in dataset['train'][:5]:
+    print(entry['text'])
 ```
+
+
+### Citation
+If you use this dataset in your research, please cite it as follows:
+```
+@dataset{TuniziBigBench,
+  author = {Nehdi Taha Mustapha},
+  title = {Tunizi Tunisian Dialectic Derja Dataset},
+  year = {2025},
+  url = {https://huggingface.co/datasets/Nehdi/TuniziBigBench}
+}
+```