Upload 2 files

.gitattributes

@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+human_25k_train.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,94 @@
+---
+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).**

human_25k_train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82bb67fe9930d397c74a22d2522b35030a807423f83854e1bf343962e71a2567
+size 30690605