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README.md

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 license: cc-by-4.0
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+Dataset Card for Internal Medicine MCQ
+Dataset Details
+Dataset Description
+This dataset consists of 41 high-quality, two-choice multiple-choice questions (MCQs) focused on core biomedical knowledge and clinical scenarios from internal medicine. These questions were specifically curated for research evaluating medical knowledge, clinical reasoning, and confidence-based interactions among medical trainees and large language models (LLMs).
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+Curated by: Tom Sheffer
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+Shared by: Tom Sheffer (The Hebrew University of Jerusalem)
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+Language: English
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+License: Creative Commons Attribution 4.0 International (CC-BY 4.0)
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+Paper: [...]
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+Uses
+Direct Use
+This dataset is suitable for:
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+Evaluating medical knowledge and clinical reasoning skills of medical students and healthcare professionals.
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+Benchmarking performance and reasoning capabilities of large language models (LLMs) in medical question-answering tasks.
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+Research on collaborative human–AI and human-human interactions involving clinical decision-making.
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+Out-of-Scope Use
+This dataset is not intended as a diagnostic or clinical decision-making tool in real clinical settings.
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+It should not be used to train systems intended for direct clinical application without extensive validation.
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+Dataset Structure
+The dataset comprises 41 multiple-choice questions with two answer choices (binary-choice format):
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+question_id: A unique identifier for each question.
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+question_text: The clinical vignette or biomedical question.
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+optionA: First possible answer choice.
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+optionB: Second possible answer choice.
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+answer: The correct answer text.
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+answer idx: The correct answer choice (A or B)
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+Dataset Creation
+Curation Rationale
+The dataset was created to study knowledge diversity, internal confidence, and collaborative decision-making between medical trainees and AI agents. Questions were carefully selected to represent authentic licensing exam style questions in internal medicine, ensuring ecological validity for medical education and AI-human collaborative studies.
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+Source Data
+Data Collection and Processing
+The questions were sourced and adapted from standardized medical licensing preparation materials. All questions were reviewed, translated and validated by licensed physicians.
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+Who are the source data producers?
+The original data sources are standard medical licensing examination preparation materials.
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+Personal and Sensitive Information
+The dataset does not contain any personal, sensitive, or identifiable patient or clinician information. All clinical scenarios are fictionalized or generalized for educational and research purposes.
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+Bias, Risks, and Limitations
+The dataset size (41 questions) is limited; therefore, findings using this dataset might not generalize broadly.
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+Content is limited to internal medicine; results may not generalize across all medical specialties.
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+Citation
+If using this dataset, please cite:
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+BibTeX:
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+More Information
+For more details, please contact the dataset authors listed below.
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+Dataset Card Authors
+Tom Sheffer (The Hebrew University of Jerusalem)
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+Dataset Card Contact
+Tom Sheffer: [email protected]