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---
dataset_info:
features:
- name: image
dtype: image
- name: exam
dtype: string
- name: topic
dtype: string
- name: sinav
dtype: string
- name: konu
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 168030625.25
num_examples: 1854
download_size: 167855901
dataset_size: 168030625.25
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- image-text-to-text
- image-to-text
language:
- tr
- en
pretty_name: YKS - Uniform
size_categories:
- 1K<n<10K
---
# YKS Uniform
<!-- Provide a quick summary of the dataset. -->
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/) for details.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
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
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
This is a benchmark dataset for academic use only. Please use the dataset exclusively for benchmarking purposes.
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
```
@misc{yksuniform2025,
title = {YKS Uniform: A Balanced Multimodal Benchmark Covering the Turkish High School Curriculum},
author = {Sert, Egemen and Ertekin, Şeyda},
year = {2025},
howpublished = {\url{https://yks-uniform.github.io/}},
note = {Accessed: 2025-08-23}
}
```
## Dataset Card Contact
Please contact egemen.sert@metu.edu.tr for submissions and benchmark related questions. |