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Khyatimirani/pcos_mental_health_clinical_studies

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Hugging Face2026-03-22 更新2026-03-29 收录
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--- license: apache-2.0 task_categories: - question-answering language: - en tags: - medical size_categories: - n<1K --- ### Dataset Card for pcos_mental_health_clinical_studies ## Dataset Summary pcos_mental_health_clinical_studies is a curated dataset of question–answer pairs derived from clinical guidelines and research publications on the intersection of Polycystic Ovary Syndrome (PCOS) and mental health. The dataset is designed to simulate real-world patient queries and provide clinically grounded, empathetic responses. It incorporates evidence from Fertility Society guidelines (e.g., Fert/ESHRE-aligned resources) and other reputable healthcare providers. The goal is to support the development of AI assistants that can: Provide evidence-based, non-diagnostic guidance Address emotional and psychological concerns in PCOS Encourage appropriate care-seeking behavior Improve continuity of care between doctor visits Supported Tasks ## This dataset can be used for: 💬 Conversational AI / Chatbot training 🧠 Instruction tuning (LLMs for healthcare Q&A) 🏥 Clinical decision support (non-diagnostic layer) ❤️ Mental health–aware health assistants 🧾 Retrieval-augmented generation (RAG) grounding Languages Primary language: English Dataset Structure The dataset follows a chat template format suitable for instruction tuning. Example (JSONL format): `{ "messages": [ { "role": "user", "content": "Is it normal to feel anxious all the time with PCOS?" }, { "role": "assistant", "content": "Yes, many people with PCOS experience anxiety. Studies suggest that women with PCOS are significantly more likely to report anxiety symptoms compared to those without PCOS. You're not alone in feeling this way. If anxiety is affecting your daily life, it may help to speak with a healthcare professional who can guide you with the right support." } ] }` ### Data Collection Process The dataset is created through reverse-engineering clinical guidelines into patient-centric conversational formats. Sources include: Clinical guidelines on PCOS and mental health Fertility and reproductive health publications Evidence-based summaries from healthcare providers ## Each Q&A pair is: Grounded in clinical evidence Rewritten in a compassionate, accessible tone Structured to reflect how real users ask questions Annotation Process Questions are generated to reflect real patient concerns, including emotional, behavioral, and symptom-related queries. Answers are crafted to: Stay faithful to source guidelines Include relevant statistics where available Maintain a supportive, non-judgmental tone Avoid giving direct medical diagnosis or prescriptions Dataset Characteristics Focus area: PCOS + Mental Health Includes: Anxiety, depression, mood changes Body image concerns Hormonal impacts on mental health Lifestyle and coping strategies Emphasis on: Continuity of care Between-visit support Patient education Intended Use ## This dataset is intended for: Building AI health companions Enhancing patient education tools Supporting preventive and continuous care models ## ⚠️ It is not intended for: Medical diagnosis Emergency decision-making Replacing licensed healthcare professionals Limitations Responses are generalized and may not apply to all individuals Not a substitute for personalized medical advice May not cover all cultural or regional variations in care Dependent on the scope of included clinical guidelines Ethical Considerations Designed to promote safe and responsible AI use in healthcare Encourages consultation with qualified professionals Avoids: Harmful assumptions Over-medicalization Definitive clinical judgments ## Licensing ⚠️ Please specify based on your dataset: Suggested: MIT, Apache 2.0, or CC BY 4.0 Ensure compliance with: Source guideline usage rights Attribution requirements Citation ## If you use this dataset, please cite: @dataset{pcos_mental_health_clinical_studies, title={PCOS Mental Health Clinical Studies Dataset}, author={Khyati Mirani}, year={2026}, description={A clinically grounded conversational dataset based on PCOS and mental health guidelines for AI assistant training} } ## Additional Notes This dataset is part of ongoing efforts to build clinically aligned, empathetic AI systems in women’s health, with a focus on daily support beyond clinical settings.
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