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Turkish LLM Preference & Alignment Dataset
A curated Turkish-language preference dataset designed for LLM training, alignment, preference optimization, and evaluation.
The dataset contains approximately 600 chosen/rejected response pairs. Each example is structured to distinguish a higher-quality preferred response from a lower-quality alternative.
LLM preference learning
DPO / preference optimization
Reward model training
Turkish-language alignment
Model evaluation and benchmarking
Hard-negative and failure-mode analysis
JSONL with structured chosen/rejected response pairs.
Turkish
The dataset was deliberately curated rather than produced as a raw bulk generation set. Particular attention was given to response quality, difficult distinctions between competing answers, and examples useful for identifying model weaknesses.
Suitable for research, experimentation, evaluation, and commercial AI development subject to the applicable dataset license.