Datasets:
metadata
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 answermeta: IDs, domain/subdomain, task, difficulty, wrapper, truth_mode, license, tagsfact_sources: source anchors (official/standard/self-contained)artifacts: lightweight control hints (token hints, style contract)
Example
{
"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).