|
|
--- |
|
|
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).** |
|
|
|