| | --- |
| | license: cc-by-4.0 |
| | task_categories: |
| | - table-question-answering |
| | - multiple-choice |
| | language: |
| | - en |
| | pretty_name: Internal Medicine MCQ |
| | size_categories: |
| | - n<1K |
| | --- |
| | |
| | # 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). |
| |
|
| | * **Curated by:** Tom Sheffer |
| | * **Shared by:** Tom Sheffer (The Hebrew University of Jerusalem) |
| | * **Language:** English |
| | * **License:** [Creative Commons Attribution 4.0 International (CC-BY 4.0)](https://creativecommons.org/licenses/by/4.0/) |
| | * **Paper:** *\[Information Needed]* |
| |
|
| | --- |
| |
|
| | ## Uses |
| |
|
| | ### **Direct Use** |
| |
|
| | This dataset is suitable for: |
| |
|
| | * Evaluating medical knowledge and clinical reasoning skills of medical students and healthcare professionals. |
| | * Benchmarking performance and reasoning capabilities of large language models (LLMs) in medical question-answering tasks. |
| | * Research on collaborative human–AI and human–human interactions involving clinical decision-making. |
| |
|
| | ### **Out-of-Scope Use** |
| |
|
| | * **Not intended** as a diagnostic or clinical decision-making tool in real clinical settings. |
| | * Should **not** be used to train systems intended for direct clinical application without extensive validation. |
| |
|
| | --- |
| |
|
| | ## Dataset Structure |
| |
|
| | The dataset comprises **41 multiple-choice questions** with two answer choices (binary-choice format). The dataset includes the following fields: |
| |
|
| | * `question_id`: A unique identifier for each question. |
| | * `question_text`: The clinical vignette or biomedical question. |
| | * `optionA`: First possible answer choice. |
| | * `optionB`: Second possible answer choice. |
| | * `answer`: The correct answer text. |
| | * `answer_idx`: The correct answer choice (A or B). |
| |
|
| | --- |
| |
|
| | ## 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. |
| |
|
| | --- |
| |
|
| | ### **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. |
| |
|
| | #### **Who are the source data producers?** |
| |
|
| | The original data sources are standard medical licensing examination preparation materials. |
| |
|
| | --- |
| |
|
| | ### **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. |
| |
|
| | --- |
| |
|
| | ## Bias, Risks, and Limitations |
| |
|
| | * The dataset size (**41 questions**) is limited; therefore, findings using this dataset might not generalize broadly. |
| | * Content is limited to internal medicine; results may not generalize across all medical specialties. |
| |
|
| | --- |
| |
|
| | ## Citation |
| |
|
| | If using this dataset, please cite: |
| |
|
| | ```bibtex |
| | |
| | ``` |
| |
|
| | --- |
| |
|
| | ## More Information |
| |
|
| | For more details, please contact the dataset author listed below. |
| |
|
| | --- |
| |
|
| | ## Dataset Card Author |
| |
|
| | * **Tom Sheffer** (The Hebrew University of Jerusalem) |
| |
|
| | --- |
| |
|
| | ## Dataset Card Contact |
| |
|
| | * **Email:** [sheffer.sheffer@gmail.com](mailto:sheffer.sheffer@gmail.com) |
| |
|
| | --- |
