Turkish Reasoning Dataset for Large Language Models

Opus-4.6 Reasoning 3000x filtered dataset provides a Turkish translation of reasoning data for LLM training. The dataset is created by Chan-Y to support instruction-following and alignment tasks in Turkish. It was last updated on March 22, 2026.

Use Cases

• Fine-tune Turkish language models on translated reasoning data for improved instruction-following capabilities.
• Benchmark and evaluate the reasoning performance of Turkish LLMs using the translated benchmark tasks.
• Support alignment tasks for Turkish models by utilizing the high-quality reasoning data.

Strengths

• Dataset specifically targets the limited availability of high-quality reasoning data for the Turkish language.
• Derived from the established Opus-4.6 Reasoning 3000x filtered source dataset.
• Last updated on March 22, 2026, indicating recent maintenance.

Limitations

• Unknown row count and column structure prevents assessment of dataset scale and feature completeness.
• Data quality and translation accuracy are dependent on the original Opus-4.6 source and the translation process.
• Lack of sample data or detailed column information makes exploratory analysis difficult prior to download.

Provenance

Source

Hugging Face dataset by author Chan-Y.

Collection Method

Machine translation of the original Opus-4.6 Reasoning 3000x filtered dataset into Turkish.

Freshness

Last updated on 2026-03-22.

Geography

Language focus is Turkish.