biological
protein_atlas_biological_processbiological-time-inequality-framework-metadata
The Architecture of Biological Stratification (Metadata & Quantitative Framework)
Till Death Tear Us Apart: The Biological Time Inequality Framework
Author: Gia Bao Huynh (Jun)ORCID: 0009-0008-2372-5852Affiliation: Independent Scholar / Arizona State UniversityLicense: Creative Commons Attribution 4.0 International (CC BY 4.0)
Abstract
This research programme investigates the collapse of the Mortality Symmetry Axiom (MSA) — the historical condition… See the full description on the dataset page: https://huggingface.co/datasets/giabaohuynhasu/biological-time-inequality-framework-metadata.medical_biological_instruction_format
Dataset Card for "medical_biological_instruction_format"
Best advice:
drop the instruction column or use your choice of high-functioning llm to generate variant prompts
for medical and science database expansions, i'm having excellent results using:
SciPhi/SciPhi-Mistral-7B-32k
TheBloke/SciPhi-Mistral-7B-32k-GGUF
Or if you have RAG setup on a corpus:
SciPhi/Sensei-7B-V2
TheBloke/Sensei-7B-V1-GGUF
Falconsai/medical_summarization
Chemical-Biological-Safety-Applications-Sharegptclinical-moca-clinical-biological-narrative-coherence-v0.1What this dataset tests
Whether the biology explains the clinical story across time.
It requires alignment between:
symptom timeline
longitudinal omic shifts
interventions
response trajectory
Labels
coherent
partially-coherent
incoherent
posthoc-story
Posthoc-story means the narrative sounds plausiblebut does not match the timeline or measurements.
Typical failures
timepoint inversion
claiming an intervention caused a shift that occurred earlier
ignoring non-response… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-moca-clinical-biological-narrative-coherence-v0.1.falsified-vaccines-biologicals
Falsified Vaccines & Biologicals (Cold Chain, Potency, VVM, Immunogenicity) | Africa (World Health Organization)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/falsified-vaccines-biologicals.