README.md

---
dataset_info:
  features:
  - name: question
    dtype: string
  - name: options
    struct:
    - name: A
      dtype: string
    - name: B
      dtype: string
    - name: C
      dtype: string
    - name: D
      dtype: string
    - name: E
      dtype: string
  - name: answer_idx
    dtype: string
  - name: answer_text
    dtype: string
  splits:
  - name: train
    num_bytes: 2542509
    num_examples: 7120
  - name: test
    num_bytes: 431603
    num_examples: 1510
  - name: mmlu
    num_bytes: 34008
    num_examples: 100
  download_size: 1949559
  dataset_size: 3008120
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: mmlu
    path: data/mmlu-*
license: mit
task_categories:
- question-answering
language:
- tr
tags:
- medical
size_categories:
- 1K<n<10K
---

TUS (Turkish Specialty Exam in Medicine) split of [Turkish MMLU: Yapay Zeka ve Akademik Uygulamalar İçin En Kapsamlı ve Özgün Türkçe Veri Seti](https://huggingface.co/datasets/alibayram/turkish_mmlu)

- This dataset is a filtered version of the original. Embeddings with similarity score higher than **0.85** in the `train` split were discarded. [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) was used for this process.

  <br/>

**IMPORTANT NOTE:** If you find this dataset useful, please cite the original authors via [Zenodo](https://zenodo.org/records/13378019)
```bibtex
@dataset{bayram_2024_13378019,
  author       = {Bayram, M. Ali},
  title        = {{Turkish MMLU: Yapay Zeka ve Akademik Uygulamalar 
                   İçin En Kapsamlı ve Özgün Türkçe Veri Seti}},
  month        = aug,
  year         = 2024,
  publisher    = {Zenodo},
  version      = {v1.2},
  doi          = {10.5281/zenodo.13378019},
  url          = {https://doi.org/10.5281/zenodo.13378019}
}
```