Khyatimirani/pcos-nutrition-natural-compound

Dataset Card for pcos-nutrition-natural-compound

Dataset Summary

pcos-nutrition-natural-compound is a structured medical Q&A dataset derived from the peer-reviewed article:

“Natural compounds in the management of polycystic ovary syndrome: a comprehensive review of hormonal regulation and therapeutic potential.” Frontiers in Nutrition, Volume 12 (2025) https://doi.org/10.3389/fnut.2025.1520695

The dataset converts scientific review content into clear, evidence-aligned question–answer pairs suitable for training and evaluating healthcare conversational AI systems, medical NLP models, and educational tools focused on PCOS.

Dataset Details

Dataset Description

• —Curated by: Khyati Mirani
• —Language(s): English
• —License: Apache-2.0
• —Domain: Women’s health, endocrinology, nutrition, PCOS
• —Task Categories: Question Answering, Instruction Tuning, Medical NLP

The dataset covers topics such as:

• —Hormonal regulation in PCOS
• —Insulin resistance mechanisms
• —Anti-inflammatory and antioxidant compounds
• —Nutritional approaches for PCOS management
• —Herbal and bioactive natural compounds
• —Mechanistic explanations of therapeutic potential

Dataset Sources

• —Source Paper: Natural compounds in the management of polycystic ovary syndrome: a comprehensive review of hormonal regulation and therapeutic potential Frontiers in Nutrition (2025)

• —DOI: https://doi.org/10.3389/fnut.2025.1520695
• —Publisher: Frontiers Media SA

Uses

Direct Use

This dataset is intended for:

• —Fine-tuning healthcare chatbots or LLMs
• —Building PCOS education assistants
• —Research in guideline-grounded medical NLP
• —Retrieval-augmented generation evaluation
• —Creating patient-friendly medical explanation systems

Out-of-Scope Use

This dataset should not be used for:

• —Medical diagnosis
• —Personalized treatment recommendations
• —Emergency decision-making
• —Replacement for clinician consultation

The dataset contains educational summaries derived from research literature.

Dataset Structure

The dataset is provided in JSONL format, with one example per line:

{
  "question": "Can natural compounds help regulate hormones in PCOS?",
  "answer": "Certain natural compounds discussed in the literature may influence insulin signaling, inflammation, and androgen levels..."
}

Dataset Creation

Curation Rationale

Scientific review articles contain valuable but dense biomedical information that is not directly usable for conversational AI.

This dataset was created to:

Transform peer-reviewed PCOS research into structured QA format

Preserve mechanistic explanations from the literature

Enable safer healthcare LLM training

Improve accessibility of PCOS knowledge

Source Data

Data Collection and Processing

The peer-reviewed Frontiers in Nutrition article was manually reviewed.

Key findings related to natural compounds and hormonal/metabolic regulation were extracted.

Content was rewritten into:

Natural patient-style or clinician-style questions

Clear explanatory answers grounded in the paper

Text was normalized for clarity, safety, and neutral medical tone.

Entries were structured into JSONL format.

Who are the source data producers?

The original scientific content was produced by researchers and published in:

Frontiers in Nutrition (Frontiers Media SA) — a peer-reviewed open-access scientific journal.

Annotations

Annotation process

The dataset involves manual restructuring of literature into QA pairs, including:

Concept extraction

Question formulation

Evidence-preserving answer drafting

Consistency and tone checks

No crowd-sourced annotations were used.

Who are the annotators?

Dataset structuring and rewriting were performed by the dataset curator(s).

Personal and Sensitive Information

No patient data included

No personally identifiable information included

Only publicly available scientific literature used

Bias, Risks, and Limitations

Based primarily on a single review article.

Evidence strength varies across compounds discussed.

Responses are generalized and not patient-specific.

Medical knowledge may evolve with future research.

Recommendations

Use with medical disclaimers in healthcare applications.

Validate outputs before deployment in patient-facing systems.

Combine with broader clinical datasets for production use.

Citation

If you use this dataset, please cite both the dataset and the source paper.

Dataset

@dataset{mirani2026pcosdataset, title={PCOS Nutrition Natural Compound QA Dataset}, author={Mirani, Khyati}, year={2026}, publisher={Hugging Face} }

Source Paper

@article{frontiers2025pcosnatural, title={Natural compounds in the management of polycystic ovary syndrome: a comprehensive review of hormonal regulation and therapeutic potential}, journal={Frontiers in Nutrition}, year={2025}, doi={10.3389/fnut.2025.1520695} }

Dataset Card Authors

Khyati Mirani