| | --- |
| | language: en |
| | license: cc-by-4.0 |
| | task_categories: |
| | - question-answering |
| | - text-generation |
| | - text-classification |
| | tags: |
| | - human-anatomy |
| | - physiology |
| | - health-science |
| | - clinical-reasoning |
| | - withinusai |
| | size_categories: |
| | - 10K<n<100K |
| | pretty_name: WithinUsAI Human Anatomy & Health Sciences 25k (Master Scholars Academics) |
| | dataset_info: |
| | features: |
| | - name: prompt |
| | dtype: dict |
| | - name: response |
| | dtype: string |
| | - name: meta |
| | dtype: dict |
| | - name: fact_sources |
| | dtype: list |
| | - name: artifacts |
| | dtype: dict |
| | --- |
| | |
| | # WithinUsAI/Human_25k — Master Scholars Academics (25k) |
| | |
| | Academic-grade dataset for fine-tuning LLMs on **human anatomy, physiology, clinical concepts, and biomedical quantitative reasoning** in a **Tiny-Recursive-Model-friendly** format. |
| | |
| | ## What’s inside (25,000 examples) |
| | |
| | **Task mix (fixed):** |
| | - **8,000** Fact-check / verification (`wrapper=verify_true_false`, `truth_mode=verifiable_fact`) |
| | - **9,000** Self-contained quantitative reasoning (`wrapper=minimal_chain`, `truth_mode=self_contained_math`) |
| | - **8,000** Academic definitions & micro-refreshers (`wrapper=micro_refresher`, `truth_mode=textbook_definition`) |
| |
|
| | ## Safety/Scope |
| |
|
| | - Educational and academic: anatomy, physiology, clinical terminology, and quantitative calculations. |
| | - **No personalized medical advice, no diagnosis/treatment plans, and no medication dosing instructions.** |
| |
|
| | ## Schema |
| |
|
| | Each row is a JSON object: |
| |
|
| | - `prompt.messages[]`: chat-style messages (system + user) |
| | - `response`: concise target answer |
| | - `meta`: IDs, domain/subdomain, task, difficulty, wrapper, truth_mode, license, tags |
| | - `fact_sources`: source anchors (official/standard/self-contained) |
| | - `artifacts`: lightweight control hints (token hints, style contract) |
| |
|
| | ## Example |
| |
|
| | ```json |
| | { |
| | "prompt": { |
| | "messages": [ |
| | {"role": "system", "content": "You are WithinUsAI Master Scholars Human Anatomy & Health Sciences. Provide concise, factual academic answers. No treatment plans or personalized medical advice."}, |
| | {"role": "user", "content": "True or False (medical academics): The human heart has four chambers: two atria and two ventricles."} |
| | ] |
| | }, |
| | "response": "TRUE — The human heart has four chambers: two atria and two ventricles.", |
| | "meta": { |
| | "id": "WUA_HUMAN_25K_000001", |
| | "domain": "human_academics", |
| | "subdomain": "anatomy::cardiovascular", |
| | "task": "fact_check", |
| | "difficulty": "core", |
| | "truth_mode": "verifiable_fact", |
| | "wrapper": "verify_true_false", |
| | "created_utc": "2026-01-04T02:41:52Z", |
| | "license": "cc-by-4.0" |
| | }, |
| | "fact_sources": [ |
| | { |
| | "source_title": "OpenStax Anatomy & Physiology (CC BY 4.0)", |
| | "source_url": "https://openstax.org/details/books/anatomy-and-physiology", |
| | "evidence_type": "standard", |
| | "accessed_at_utc": "2026-01-04T02:41:52Z" |
| | } |
| | ], |
| | "artifacts": {"max_tokens_hint": 140, "style_contract": "concise_formal"} |
| | } |
| | ``` |
| |
|
| | ## Citation |
| |
|
| | If you use this dataset in research or releases, cite it as: |
| | **Within Us AI — WithinUsAI/Human_25k (Master Scholars Academics).** |
| | |
