Update README.md

README.md

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 ---
 license: mit
+task_categories:
+- text-classification
+language:
+- zh
+tags:
+- medical
+- safety
+size_categories:
+- n<1K
 ---
+
+# Dataset Card for [TCMLM/TCM_Humanities]
+
+<!-- Provide a quick summary of the dataset. -->
+
+This dataset, curated by the Traditional Chinese Medicine Language Model Team, comprises a comprehensive collection of multiple-choice questions (both single and multiple answers) from the Chinese Medical Practitioner Examination. It's designed to aid in understanding and assessing knowledge in Chinese humanities medicine, medical ethics, and legal regulations for physicians.
+
+## Dataset Details
+
+### Dataset Description
+
+- **Curated by:** Traditional Chinese Medicine Language Model Team.
+- **Funded by:** Sponsored by family parental funds.
+- **Language(s) (NLP):** Primarily in Chinese.
+- **License:** MIT License.
+
+## Uses
+
+### Direct Use
+
+This dataset is primarily intended for academic research, educational purposes, and training models in the field of medical humanities, ethics, and law. It can be used to develop AI models that understand and interpret questions related to these fields, aiding in the preparation for medical licensing exams in China.
+
+### Out-of-Scope Use
+
+The dataset is not designed for clinical decision-making or patient care. It should not be used as a standalone resource for legal or ethical advice in medical practices. Commercial use and use in medical scenarios require explicit authorization from the author. Unauthorized use, and any resulting ethical, medical safety, or legal issues, are the responsibility of the user.
+
+## Dataset Structure
+
+### Source Data
+
+The dataset comprises a curated selection of questions from the Chinese Medical Practitioner Examination. These questions encompass various aspects of medical ethics, legal regulations, and humanities in medicine. Each entry in the dataset includes a question number, the question text, multiple choice options, the correct answer, and an explanation for the answer.
+
+For example:
+
+| 题目序号 | 题干 | 选项 | 答案 | 解析 |
+| ------- | ---- | ---- | ---- | ---- |
+| 1 | 根据《处方管理办法》规定，处方保存期满后，经（）批准、登记备案，方可销毁 | "A.医疗机构主要负责人<br>B.卫生行政主管部门医政管理科室<br>C.卫生行政主管部门负责人<br>D.药品监督管理部门" | A | 《处方管理办法》第五十条规定：处方保存期满后，经医疗机构主要负责人批准、登记备案，方可销毁。 |
+
+
+## Bias, Risks, and Limitations
+
+### Bias
+
+- **Cultural and Regional Specificity:** This dataset is specifically derived from the Chinese Medical Practitioner Examination and hence, is deeply rooted in the context of Chinese medical practice, law, and ethics. This focus may not accurately represent the diversity of medical practices, ethical standards, and legal frameworks found in other countries and regions. As a result, the dataset may not be suitable for global generalizations about medical practices.
+
+- **Content Limitation:** The dataset's focus on multiple-choice questions may limit the depth and complexity of understanding that can be conveyed about each topic. Real-world medical, ethical, and legal scenarios are often more nuanced than what can be captured in a standardized test format.
+
+### Risks
+
+- **Misinterpretation:** Users of this dataset, especially those not familiar with the Chinese medical system, might misinterpret the information due to differences in medical practices and regulations across countries. This could lead to incorrect applications of the knowledge in different medical or legal contexts.
+
+- **Educational Use Limitation:** While the dataset can be an excellent resource for educational purposes, it should not be relied upon as the sole source of information for critical decision-making in medical practice or legal advice. Users should consult a variety of resources and professional advice for such purposes.
+
+### Limitations
+
+- **Question Quantity:** The dataset's utility may be limited by the number of questions it contains. A larger number of questions would provide a more comprehensive overview of the various aspects of medical humanities, ethics, and laws in China.
+
+- **Language Barrier:** The dataset is primarily in Chinese, which may limit its accessibility to non-Chinese speaking users. This could hinder its use in international research or educational settings.
+
+- **Commercial and Medical Scenario Use:** The dataset is not authorized for commercial use or medical scenarios without explicit permission from the author. Unauthorized use in these contexts may lead to ethical, medical safety, or legal issues.
+
+### Ethical Considerations
+
+- **Sensitive Content:** Some questions in the dataset might involve sensitive ethical dilemmas or legal issues. Users must approach these topics with the appropriate level of sensitivity and understanding of the cultural context.
+
+- **Respect for Intellectual Property:** The dataset is based on questions from an official examination. Users should respect the intellectual property rights associated with the content and adhere to the provided usage guidelines.
+
+In summary, while the "Chinese Medical Humanities Dataset" provides valuable insights into Chinese medical humanities, ethics, and law, users should be aware of its cultural specificity, content limitations, and potential risks. It is important to use this dataset responsibly, keeping in mind its limitations and the need for a broad, culturally sensitive approach to medical humanities and legal education.
+
+
+### Recommendations
+
+Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+
+## Citation
+
+**BibTeX:**
+
+@misc{TCM_Humanities,
+author = {Paris Kang},
+title = {Chinese Medical Humanities Dataset},
+year = {2024},
+howpublished = {Hugging Face Dataset Hub},
+url = {https://huggingface.co/datasets/TCMLM/TCM_Humanities/}
+}
+
+ruby
+Copy code
+
+**APA:**
+
+Kang, P. (2024). *Chinese Medical Humanities Dataset*. Retrieved from https://huggingface.co/datasets/TCMLM/TCM_Humanities/
+
+
+## Dataset Card Authors
+
+**Author:** Paris Kang, a poet, a practicing physician in oncology with a background in both traditional Chinese and Western medicine, and a doctoral candidate in Electronic Information.
+
+**Contact Email:** 1641866831@qq.com