Datasets:
metadata
dataset_info: null
task_categories:
- text-generation
language:
- kk
- en
pretty_name: kaz-doctor-data
size_categories:
- 1K<n<10K
tags:
- medical
license: apache-2.0
Dataset Card for "Kazakh-ChatDoctor-HealthCareMagic-10k"
🏥 ChatDoctor HealthCareMagic QA Dataset (Kazakh-English)
This dataset contains medical question-answer pairs collected and translated for the purpose of building and fine-tuning multilingual medical assistant models, especially for the Kazakh language.
📚 Dataset Overview
| Field | Description |
|---|---|
instruction |
Instruction to the model in English |
input |
User’s medical question or symptom description in English |
output |
Doctor’s answer to the question in English |
instruction_kk |
Instruction in Kazakh |
input_kk |
Medical query or symptom description translated into Kazakh |
output_kk |
Doctor’s response translated into Kazakh |
The data follows the common instruction-tuning format (instruction, input, output) and is designed for fine-tuning language models in a medical Q&A context.
✨ Example
{
"instruction": "If you are a doctor, please answer the medical questions based on the patient's description.",
"input": "I woke up this morning feeling the whole room is spinning...",
"output": "Hi, Thank you for posting your query. The most likely cause is benign paroxysmal positional vertigo...",
"instruction_kk": "Егер сіз дәрігер болсаңыз, науқастың сипаттамасына негізделген медициналық сұрақтарға жауап беріңіз.",
"input_kk": "Мен бүгін таңертең ояндым, мен отырған кезде бүкіл бөлме айналып тұрғанын сездім...",
"output_kk": "Сәлем, сұрауыңызды жібергеніңіз үшін рахмет. Сіздің симптомдарыңыздың ең ықтимал себептері – пароксизмальды позициялық вертиго..."
}
📊 Statistics
- Number of samples: ~5,541
- Languages: English, Kazakh
- Use Case: Instruction tuning, QLoRA, multilingual medical chatbots, low-resource model training
✅ Intended Use
- Fine-tuning medical LLMs (e.g., LLaMA, Mistral) with Kazakh medical data
- Research in multilingual and low-resource medical NLP
- Evaluation of machine translation quality in healthcare domain
⚠️ Disclaimer
This dataset is intended for research purposes only. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider with any medical questions.
📄 License
Apache 2.0