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Khyatimirani/fertility_env_factors_effect_factsheets_eshre

Dataset Card for fertility_env_factors_effect_factsheets_eshre Dataset Summary fertility_env_factors_effect_factsheets_eshre is a structured question–answer dataset derived from publicly available ESHRE (European Society of Human Reproduction and Embryology) patient factsheets describing how environmental and lifestyle factors influence fertility. The dataset converts evidence-based educational material into clear patient-style questions and clinically aligned… See the full description on the dataset page: https://huggingface.co/datasets/Khyatimirani/fertility_env_factors_effect_factsheets_eshre.

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face
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Dataset Card

Dataset Card for fertilityenvfactorseffectfactsheets_eshre

Dataset Summary

fertility_env_factors_effect_factsheets_eshre is a structured question–answer dataset derived from publicly available ESHRE (European Society of Human Reproduction and Embryology) patient factsheets describing how environmental and lifestyle factors influence fertility.

The dataset converts evidence-based educational material into clear patient-style questions and clinically aligned answers, making it suitable for:

  • —Training healthcare conversational AI
  • —Evaluating fertility chat assistants
  • —Building patient education tools
  • —Research in medical NLP and guideline-grounded LLMs

The goal is to make fertility guidance accessible, structured, and safe for AI-assisted patient communication.


Dataset Details

Dataset Description

  • —Curated by: Khyati Mirani (update if needed)
  • —Language(s) (NLP): English
  • —License: Apache-2.0
  • —Domain: Fertility, reproductive health, lifestyle medicine, environmental health
  • —Task Types: Question Answering, Instruction Tuning, Conversational AI

This dataset focuses on environmental and behavioral factors affecting fertility, such as:

  • —Smoking and tobacco exposure
  • —Alcohol consumption
  • —Body weight and BMI
  • —Nutrition and lifestyle patterns
  • —Environmental toxins and pollutants
  • —Occupational exposures
  • —Heat exposure and reproductive health
  • —Preventive fertility recommendations

Dataset Sources

  • —Primary Source: ESHRE Patient Factsheets on environmental factors and fertility
  • —Organization: European Society of Human Reproduction and Embryology (ESHRE)
  • —Website: https://www.eshre.eu/

(Add direct links to specific factsheets if available)


Uses

Direct Use

This dataset is intended for:

  • —Training LLMs to answer fertility-related patient questions
  • —Building guideline-aligned fertility chatbots
  • —Clinical education or patient-support AI tools
  • —Fine-tuning instruction-following healthcare models
  • —Research in medical question answering

Out-of-Scope Use

This dataset should NOT be used for:

  • —Providing real-time medical diagnosis
  • —Replacing clinician judgment
  • —Emergency or high-risk reproductive decisions
  • —Legal or insurance-related medical determinations

The answers are educational and guideline-based, not personalized medical advice.


Dataset Creation

Curation Rationale

Patients frequently seek reliable information on how lifestyle and environmental exposures affect fertility. However, guideline documents are often long and difficult to use directly in conversational AI systems.

This dataset was created to:

Convert authoritative fertility guidance into structured Q&A format

Enable safer medical chatbot responses

Support research in clinically grounded language models

Improve accessibility of fertility education

Source Data

Data Collection and Processing

Publicly available ESHRE fertility/environment factsheets were reviewed.

Educational statements were extracted and rewritten into:

Natural patient-style questions

Clear, concise, medically aligned answers

Content was normalized for:

Neutral tone

Clarity

Removal of duplication

Structured into JSONL for NLP usage.

No automated scraping of personal data was involved.

Dataset Structure

The dataset is provided in JSONL format, where each line contains one example:

json
{
  "question": "Does smoking affect fertility?",
  "answer": "Yes. Smoking is associated with reduced fertility in both men and women..."
}