Korean Medical Instruction Comprehension Dataset for Learners

#document comprehension #information extraction #procedure and timing understanding #Korean medical instruction comprehension #healthcare language learning #patient instruction understanding

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This dataset contains Korean hospital intake instructions, appointment notices, medication guidance, examination preparation sheets, and health management announcements, organized as JSON supervision with document categories, process steps, time requirements, precautions, and contraindications. It highlights key requirements and risk-related information in everyday medical documents, supporting training and evaluation of Korean semantic understanding, information extraction, and learner-oriented explanations. It is suited to Korean learning assistance, medical document comprehension, and research on high-stakes text processing.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
process_steps	array	Steps extracted from the source and arranged in execution order for care visits, appointments, medication, or examinations.
document_purpose	string	A summary of the main action the document asks readers to take or the key information it aims to convey.
key_korean_terms	array	Medical, appointment, time-related, and precaution-related Korean terms extracted from the source, with explanations.
precaution_items	array	Operational precautions, risk warnings, and information that should be proactively shared with medical staff, extracted from the source.
risk_alert_level	string	An alert level assessed from contraindications, medication guidance, examination preparation, emergency symptoms, and related content.
contraindications	array	Prohibited actions, eligibility limits, restrictions for specific populations, and exceptions extracted from the source.
document_category	string	The medical instruction document category identified from the source text.
time_requirements	array	Appointment, arrival, medication, fasting, examination, or follow-up time constraints extracted from the medical instructions.
learner_explanation	object	A plain-language Chinese explanation for Korean learners, including language-learning notes and high-risk warnings.
symptom_descriptions	array	Symptoms, affected areas, severity, and onset time mentioned in the source, organized as information that is easy for learners to understand.
understanding_points	array	Key question-and-answer items for supervised learning, including questions, reference answers, and supporting source text.
examination_preparation	object	Fasting, hydration, medication adjustments, items to bring, and arrival requirements extracted from examination preparation documents.
medication_instructions	object	Medication names, doses, frequency, treatment duration, and missed-dose guidance extracted from medication instructions; may be an empty string for documents unrelated to medication.
raw_korean_medical_text	string	Original Korean text from hospital intake instructions, appointment notices, medication guidance, examination preparation sheets, or health management announcements.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What types of Korean documents are included?: The dataset covers hospital intake instructions, appointment notices, medication guidance, examination preparation sheets, and health management announcements. Supervision is organized around procedures, timing, precautions, symptoms, contraindications, and key vocabulary.

Which capabilities can the dataset support?: It can support Korean medical document comprehension, key information extraction, identification of procedures and time constraints, comprehension question answering, and Chinese explanations for learners. Results depend on the training setup and sample quality.

How is the dataset structured, and what quality checks are recommended?: Samples are organized in JSON fields that include the Korean source text, document category, structured information, and learner explanations. Before use, check data completeness, annotation consistency, and suitability for the target task.

How can I obtain the dataset, and is commercial use allowed?: Refer to the product page or provider for current access options and licensing terms. Before commercial deployment, confirm the license, data provenance, and privacy requirements. The content is intended for language learning and model development, not as a substitute for diagnosis or guidance from medical professionals.

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Cite this Work

@dataset{Mobiusi2026,
  title={Korean Medical Instruction Comprehension Dataset for Learners},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/72ff357aa0649aed9d8fd133a188bd52},
  urldate={2026-10-16},
  keywords={Korean medical dataset,Korean document understanding,Korean learning data,medical instruction comprehension,care process extraction,Korean information extraction,medical text question answering,Korean to Chinese explanation},
  version={1.0}
}

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