Update src/about.py

src/about.py

@@ -80,12 +80,7 @@ Addressing the gaps in existing LLM evaluation frameworks, this benchmark is spe
 This benchmark not only fills a critical gap in Persian LLM evaluation but also provides a standardized leaderboard to track progress in developing aligned, ethical, and culturally aware Persian language models.
 
 ### Download Dataset
- The full dataset is not publicly accessible; however, you can download a sample of 1,500 entries [here](https://huggingface.co/datasets/MCILAB/1500_sampel/tree/main). The distribution of this sample is as follows:
- | Category Name | Accuracy |
- |------------|-------------|
- | Fairness   | 17%         |
- | Saftey     | 8.6%        |
- | Social norm| 74.4%       |
+ The full dataset is not publicly accessible. For research purposes, you may submit your request following the dataset request guidelines.
 
 ## About Our Models