Nafie SFT v1: 119,877 Turkish Instruction-Tuning Examples

119,877 prompt-response examples for supervised fine-tuning of Turkish language models. The dataset was created by nafie-ai and focuses on rule-based reasoning, text-grounded question answering, and safe handling of toxic inputs. It was last updated on June 2, 2026.

Use Cases

• Instruction tuning for Turkish language models based on the described prompt-response structure.
• Training models for logical deduction and rule-based reasoning tasks as mentioned in the description.
• Developing anti-hallucination and safety guardrails for handling toxic or hostile user inputs.

Strengths

• Contains 119,877 prompt-response examples, providing a substantial corpus for fine-tuning.
• Explicitly targets multiple advanced capabilities including logical deduction, multi-source synthesis, and safety.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

nafie-ai

Collection Method

Prepared for Turkish instruction tuning, likely curated from various sources.

Freshness

Last updated 2026-06-02 11:36:13; freshness should be verified.