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name: scientific-summarization description: Summarize and simplify scientific literature, educational content, and research papers

Scientific Summarization & Simplification

Purpose

Generate concise, accurate summaries of scientific papers, educational materials, and complex technical documents.

Key Datasets

• PubMed Summarization (ccdv/pubmed-summarization): Article-abstract pairs for biomedical summarization
• LearningQ (AngusGLChen/LearningQ): TED-Ed (7K) + Khan Academy (223K) educational QA for learning-oriented summarization

Protocol

1. Document analysis — Identify paper structure (IMRaD, review, case report)
2. Key claim extraction — Extract main findings, methods, and conclusions
3. Audience calibration — Adjust complexity to target audience (expert, student, public)
4. Summary generation — Structured summary with key takeaways
5. Fidelity check — Verify no hallucinated claims; all statements traceable to source

Summary Types

• Structured abstract: Background, Methods, Results, Conclusions
• Lay summary: Plain-language explanation for non-experts
• Technical brief: Key findings and implications for domain experts
• Educational summary: Concept-first explanation with learning objectives

Rules

• Never introduce claims not present in the source material
• Preserve numerical results exactly (p-values, effect sizes, confidence intervals)
• Flag study limitations mentioned by authors
• Distinguish between authors' conclusions and your interpretation
• For educational content, maintain pedagogical structure