| --- |
| language: |
| - tr |
| license: cc-by-4.0 |
| size_categories: |
| - 100M<n<1B |
| task_categories: |
| - text-generation |
| - question-answering |
| tags: |
| - reasoning |
| - logic |
| - turkish |
| - pretraining |
| - synthetic |
| pretty_name: Turkish Reasoning Data |
| --- |
| |
| # Turkish Reasoning Data |
|
|
| A large-scale **synthetic Turkish logic-puzzle dataset** designed for pretraining and |
| fine-tuning language models on structured reasoning tasks. |
|
|
| ## Dataset Summary |
|
|
| | Property | Value | |
| |---|---| |
| | Language | Turkish (`tr`) | |
| | Format | Parquet (HuggingFace Datasets compatible) | |
| | Approximate tokens | ~100 million | |
| | Number of examples | ~720,000 | |
| | Split | `train` only | |
| | License | CC BY 4.0 | |
|
|
| ## Load with `datasets` |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("DevHunterAI/turkish-reasoning-data", split="train") |
| print(ds[0]) |
| # {'text': '<doc>\nAşağıdaki ipuçlarına...\n</doc>'} |
| ``` |
|
|
| ## Reasoning Categories |
|
|
| Each example belongs to one of eight logic-puzzle categories: |
|
|
| | Category (TR) | Category (EN) | Weight | |
| |---|---|---| |
| | Sıralama bulmacaları | Ordering puzzles | 25 % | |
| | Doğru/Yanlış ifade | True/False statement evaluation | 15 % | |
| | Çelişki tespiti | Contradiction detection | 15 % | |
| | Kim ne yaptı | Person–action–object matching | 15 % | |
| | Ev/kat bulmacaları | Zebra-style house/floor puzzles | 10 % | |
| | Seçim argümanı | Argument strength evaluation | 10 % | |
| | Sayısal sıralama | Numerical magnitude reasoning | 10 % | |
| | Zaman çizelgesi | Timeline / before–after reasoning | 10 % | |
|
|
| ## Format |
|
|
| Every example has a single `text` field containing a `<doc>...</doc>` block: |
|
|
| ``` |
| <doc> |
| Aşağıdaki ipuçlarına göre Ahmet, Zeynep, Mert kişilerinin |
| sıralamayı belirleyin: |
| |
| - Zeynep, Mert'den önce gelir. |
| - Ahmet 1. sıradadır. |
| |
| Doğru sıralama nedir? |
| |
| Adım adım çözüm: |
| 1. Ahmet |
| 2. Zeynep |
| 3. Mert |
| |
| Sonuç: Doğru sıralama Ahmet > Zeynep > Mert şeklindedir. |
| </doc> |
| ``` |
|
|
| ## Intended Use |
|
|
| - **Pretraining** Turkish language models on structured reasoning |
| - **Fine-tuning** (split `text` on the solution separator to get instruction/response pairs) |
| - **Evaluation** of step-by-step reasoning in Turkish |
|
|
| ## Generation |
|
|
| Generated programmatically with `random.seed(42)` using randomized templates |
| covering Turkish names, professions, cities, colors, objects, and events. |
|
|
| ## Limitations |
|
|
| - Fully synthetic — does not cover real-world or open-ended reasoning |
| - Puzzle difficulty is limited; puzzles involve 3–5 entities |
| - Solutions are template-generated |
|
|
| ## Citation |
|
|
| ```bibtex |
| @dataset{devhunterai2025turkish_reasoning, |
| title = {Turkish Reasoning Data}, |
| author = {DevHunterAI}, |
| year = {2025}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/DevHunterAI/turkish-reasoning-data} |
| } |
| ``` |
|
|
