metadata

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

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 for details.

Dataset Details

Dataset Description

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

This is a benchmark dataset for academic use only. Please use the dataset exclusively for benchmarking purposes.

Citation

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 [email protected] for submissions and benchmark related questions.