Update README.md

README.md

@@ -39,34 +39,28 @@ size_categories:
 
 <!-- Provide a quick summary of the dataset. -->
 
+![Scientia dux vitae certissimus](https://yks-uniform.github.io/assets/bilim_agaci.jpg)
+
 Large Language Models (LLMs) and Large Multimodal Models (LMMs) demonstrate impressive problem-solving skills across many tasks and domains. However, their ability to reason over structured, curriculum-based educational questions—particularly in the context of Turkish high school entrance examinations—has not been systematically studied.
 
 To address this gap, we introduce YKS Uniform, a balanced multimodal benchmark covering the Turkish high school curriculum with equal representation across all topics. By sampling six questions per topic, we constructed a dataset of 1,854 multimodal questions spanning both TYT and AYT exams. These questions require deep reasoning over text, diagrams, and exam-style contexts.
 
 Using this benchmark, we conducted a comprehensive evaluation of 16 open-weight and proprietary models. Our results highlight both the strengths and limitations of current models in handling exam-style reasoning tasks. The best-performing system, Gemini-2.5-Flash, achieved an overall accuracy of %84.7, substantially higher than open-weight alternatives but still leaving a measurable gap to human-level performance.
 
-Visit [YKS Uniform](https://yks-uniform.github.io/) webpage for details.
+Visit [YKS Uniform](https://yks-uniform.github.io/) for details.
 
 ## Dataset Details
 
 ### Dataset Description
 
 <!-- Provide a longer summary of what this dataset is. -->
-1854 multimodal exam preparation questions spanning 309 topics in Turkish High School curriculum. Each topic is equally represented by sampling first six questions of each topic's test from publicly available e-books of a publisher (hence the name Uniform). For academic use only. 
+Developed by METU Computer Engineering. A 1854 multimodal exam preparation questions spanning 309 topics in Turkish High School curriculum. Each topic is equally represented by sampling first six questions of each topic's test from publicly available e-books of a publisher (hence the name Uniform). For academic use only. 
 
 
 - **Curated by:** Egemen Sert, Şeyda Ertekin
 - **Language(s) (NLP):** Turkish, English
 - **License:** MIT
-
-### Dataset Sources
-
-<!-- Provide the basic links for the dataset. -->
-
-- **Repository:** [[More Information Needed]](https://yks-uniform.github.io/)
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
+- 
 ## Uses
 
 <!-- Address questions around how the dataset is intended to be used. -->
@@ -79,6 +73,7 @@ This is a benchmark dataset for academic use only. Please use the dataset exclus
 
 **BibTeX:**
 
+```
 @misc{yksuniform2025,
   title        = {YKS Uniform: A Balanced Multimodal Benchmark Covering the Turkish High School Curriculum},
   author       = {Sert, Egemen and Ertekin, Şeyda},
@@ -86,7 +81,7 @@ This is a benchmark dataset for academic use only. Please use the dataset exclus
   howpublished = {\url{https://yks-uniform.github.io/}},
   note         = {Accessed: 2025-08-23}
 }
-
+```
 
 ## Dataset Card Contact