Khyatimirani/pcos-patient-assist-question-and-answer

Dataset Card for PCOS Patient Assist Question and Answer Dataset

Dataset Details

Dataset Description

The PCOS Patient Assist Question and Answer Dataset is a curated dataset of question–answer pairs designed to represent common questions asked by patients diagnosed with or concerned about Polycystic Ovary Syndrome (PCOS).

The dataset is structured to simulate real patient queries that arise during different stages of the PCOS journey, including diagnosis, symptom management, fertility concerns, lifestyle changes, and long-term health considerations.

Answers are written in clear, supportive language suitable for patient education and are aligned with evidence-based recommendations derived from the International Evidence-based Guideline for the Assessment and Management of PCOS developed by the European Society of Human Reproduction and Embryology (ESHRE) and partner organizations.

The dataset is intended to support the development and evaluation of conversational AI systems that assist patients with reliable educational information about PCOS.

• —Curated by: Khyati Mirani
• —Funded by: Self-funded research project
• —Shared by: Khyati Mirani
• —Language(s) (NLP): English
• —License: Apache 2.0

Dataset Sources

• —Repository: Hugging Face Dataset Repository
• —Primary Guideline Source: International Evidence-based Guideline for the Assessment and Management of PCOS (ESHRE-led guideline)
• —Paper: N/A
• —Demo: N/A

Uses

Direct Use

This dataset is intended for:

• —Training or evaluating question-answering models in reproductive health
• —Developing AI assistants that provide educational guidance for PCOS patients
• —Prototyping patient support chatbots
• —Studying common patient questions and concerns about PCOS
• —Research on healthcare conversational AI

The dataset focuses on patient education and informational support, not clinical decision-making.

Out-of-Scope Use

This dataset should not be used for:

• —Automated diagnosis of PCOS
• —Personalized medical treatment recommendations
• —Medication prescription guidance
• —Emergency medical advice
• —Replacing consultation with licensed healthcare professionals

The responses are general educational explanations and should not be interpreted as medical advice.

Dataset Structure

The dataset contains structured question–answer pairs.

Each entry contains:

• —question — a natural language question reflecting a patient concern about PCOS
• —answer — a guideline-informed educational response written in accessible language

Example structure: { "question": "Can PCOS make it harder for me to get pregnant?", "answer": "PCOS can affect ovulation, which may make it harder to conceive for some women. However, many people with PCOS are able to become pregnant with appropriate treatment and lifestyle support. Options such as ovulation induction medications, lifestyle changes, and fertility treatments may help. A healthcare provider can help determine the best approach based on your individual situation." }

The dataset currently contains fewer than 1,000 examples.

Dataset Creation

Curation Rationale

People with PCOS frequently experience uncertainty and confusion about their symptoms, treatment options, fertility outcomes, and long-term health risks. Many patients seek answers to recurring questions related to menstrual irregularities, weight management, hormonal imbalance, and fertility.

This dataset was created to model those common questions and provide structured, guideline-informed responses that could support conversational AI tools designed to improve access to reliable PCOS information.

The goal is to help bridge patient education gaps while reinforcing the importance of professional medical care.

Source Data

The dataset was created using information from:

• —The International Evidence-based Guideline for the Assessment and Management of PCOS
• —Public PCOS patient education resources
• —General reproductive health educational materials

Questions are synthetic but realistic, designed to reflect typical patient concerns encountered in PCOS consultations.

Data Collection and Processing

Questions were generated to cover multiple areas of the PCOS journey, including:

• —Understanding PCOS and diagnosis
• —Symptoms (irregular periods, acne, hair growth, weight changes)
• —Fertility and ovulation
• —Lifestyle and metabolic health
• —Mental health considerations
• —Long-term health risks

Answers were written to be patient-friendly, minimizing complex medical terminology while maintaining guideline alignment.

All entries were manually reviewed for clarity and consistency.

Who are the source data producers?

The dataset questions and answers were curated by the dataset author based on publicly available PCOS educational resources and international clinical guidelines.

No real patient conversations or medical records were used.

Annotations

Annotation process

Each example follows a question–answer annotation format.

Entries were manually reviewed to ensure:

• —clarity and realism of the patient question
• —guideline-consistent educational responses
• —supportive and non-diagnostic tone
• —accessible patient language

Who are the annotators?

The dataset was created and reviewed by the dataset curator using publicly available guideline material. Future versions may incorporate review by reproductive health professionals.

Personal and Sensitive Information

The dataset does not contain personally identifiable information (PII).

All questions are synthetic and do not represent real individuals. While the dataset discusses reproductive health topics, it contains no identifiable patient data, medical records, or private information.

Bias, Risks, and Limitations

This dataset has several limitations:

• —It provides general educational information, not individualized care.
• —PCOS management may vary across healthcare systems and patient populations.
• —The dataset size (<1K) limits coverage of all possible PCOS-related questions.
• —Some patient experiences (such as cultural or socioeconomic contexts) may not be fully represented.

AI systems trained on this dataset should not replace consultation with healthcare professionals.

Recommendations

Users of this dataset should:

• —Treat responses as educational guidance only
• —Include clear medical disclaimers in deployed AI systems
• —Ensure users are encouraged to consult healthcare professionals for diagnosis and treatment decisions

Citation

BibTeX: @dataset{miranipcospatient_assist, author = {Mirani, Khyati}, title = {PCOS Patient Assist Question and Answer Dataset}, year = {2026}, publisher = {Hugging Face} } [More Information Needed]

APA:

Mirani, K. (2026). PCOS Patient Assist Question and Answer Dataset. Hugging Face.

Glossary

PCOS (Polycystic Ovary Syndrome): A common hormonal condition affecting people with ovaries, associated with irregular menstrual cycles, excess androgen levels, and metabolic changes.

Ovulation: The release of an egg from the ovary during the menstrual cycle.

Androgens: Hormones sometimes referred to as “male hormones” that are present in all bodies but may be elevated in PCOS.

Dataset Card Authors

Khyati Mirani

Dataset Card Contact

For questions or collaboration inquiries, please contact the dataset author via the Hugging Face profile associated with this dataset.