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README.md
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pretty_name: Turkish Grammer MMLU
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pretty_name: Turkish Grammer MMLU
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size_categories:
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- 1K<n<10K
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---
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# Turkish-Grammar-MMLU
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This dataset, created by **Turkish-DB**, is a multiple-choice question-answering (QA) dataset covering Turkish grammar topics. It is designed to evaluate model performance on various Turkish grammar subjects, similar to the MMLU (Massive Multitask Language Understanding) benchmark.
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---
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## Overview
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- **Name**: Turkish-Grammar-MMLU
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- **Provider**: Turkish-DB
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- **Task**: Multiple-Choice QA
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- **Modality**: Text
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- **Format**: CSV (also accessible via API in Parquet format)
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- **Language**: Turkish
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- **Size**: 3,700 examples
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- **Splits**: Single `train` split (3.7K samples)
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- **Source**: https://www.edebiyatogretmeni.org/
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- **License**: MIT
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---
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## Data Structure
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When downloaded, the dataset consists of a CSV file with the following columns:
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| Column | Description |
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|-----------|-------------------------------------------------------------|
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| `source` | URL or document name where the question was sourced |
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| `classes` | Sub-grammar rule category (e.g., phonetics) |
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| `subject` | General topic heading (28 distinct subjects) |
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| `question`| Question text |
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| `choices` | List of 5 answer options |
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| `answer` | Index of the correct option (0–4) |
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---
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## Usage
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Load the dataset using the `datasets` library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("turkish-db/turkish-grammer-mmlu")
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print(dataset)
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```
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Expected output:
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```python
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Dataset({
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features: ["source", "classes", "subject", "question", "choices", "answer"],
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num_rows: 3700
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})
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```
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### Example Query
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```python
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# Inspect the first example
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eprint(dataset["train"][0])
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```
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Sample output:
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```python
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{
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'source': 'https://www.edebiyatogretmeni.org/ses-bilgisi-test-1/',
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'classes': 'ses-bilgisi',
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'subject': 'ses-bilgisi',
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'question': 'Aşağıdaki cümlelerin hangisinde "ünsüz düşmesine" uğramış birden çok sözcük kullanılmıştır?',
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'choices': [
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'Sevginin küçücük görünümünden sıcacık bir hikâye çıkardığını görmüştüm.',
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'Ufacık dedikodular bile büyük bir aileyi dağıtmak için yeterli olur.',
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'Evlerin minicik saçaklarından yere kadar buzlar sarkıyordu.',
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'Araba, büyücek bir binanın önünde sarsılarak durdu.',
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'Mahallenin daracık sokaklarında çeşitli oyunlar oynardık.'
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],
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'answer': 0
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}
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```
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---
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## Citation
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When using this dataset in your work, please cite:
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```bibtex
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@misc{turkish-grammar-mmlu,
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title = {Turkish-Grammar-MMLU},
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author = {{Turkish-DB}},
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year = {2025},
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url = {https://huggingface.co/datasets/turkish-db/turkish-grammer-mmlu}
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}
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```
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---
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## License
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This dataset is released under the **MIT License**.
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