Turkish Medical Question-Answer Dataset for Language Model Fine-Tuning

55,465 Turkish text examples are provided for supervised fine-tuning of language models in the medical domain. The dataset was created by turkerberkdonmez for training an AI assistant to answer medical questions accurately and comprehensively. It was last updated in February 2026.

Use Cases

• Fine-tune a text generation model on Turkish medical question-answer pairs for conversational AI.
• Train a model for supervised fine-tuning (SFT) using the provided training split of 47,169 examples.
• Benchmark model performance on the held-out test split of 4,148 Turkish medical Q&A examples.
• Develop a Turkish medical assistant by leveraging the dataset's structured question and answer format.

Strengths

• Dataset contains 55,465 total text examples for training and evaluation.
• Data is explicitly split for machine learning, with 47,169 training, 4,148 validation, and 4,148 test examples.

Limitations

• Specific column names, data structure, and sample content are not provided in the input.
• The dataset's source, collection method, and potential biases in the medical content are unknown.

Provenance

Source

huggingface user turkerberkdonmez

Collection Method

Created for supervised fine-tuning (SFT) of language models; specific gathering method is null.

Freshness

Last updated on 2026-02-10.

Geography

Primarily Turkish language content; specific geographic coverage is null.