datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
novae
Description
Full novae dataset, including:
All the spatial transcriptomics samples used to train Novae
Protein samples used in the article
Some Visium and Visium HD samples
Synthetic data samples
You can download this dataset from the API, see novae.load_dataset
See here the list of available models trained on this dataset.
[!NOTE]
Note that Novae was trained on the image-based spatial transcriptomics samples. This means that it was not trained on the Visium/VisiumHD samples… See the full description on the dataset page: https://huggingface.co/datasets/prism-oncology/novae.oncology-financial-reasoning-india
🩺 Medzz-AI: Oncology & Financial Reasoning (India)
Status: Active | Context: Indian Healthcare | Focus: Clinical + Economic Logic
👋 The Problem: Why Current Medical AI Fails
State-of-the-art LLMs excel at clinical diagnosis but often fail at Health Economics. When asked to generate treatment plans, they frequently hallucinate costs, ignore local insurance constraints, or suggest financially viable treatments that are practically impossible for the patient.
Medzz-AI… See the full description on the dataset page: https://huggingface.co/datasets/Medzza/oncology-financial-reasoning-india.medgemma-4b-hematologic-oncology-blind-spots
MedGemma Blind Spots: Hematologic Oncology & CAR-T Immunotherapy
A 13-probe red-team evaluation showing how Google's MedGemma-4B confidently hallucinates clinical-trial statistics, fabricates non-existent treatment regimens, and misdiagnoses lymphoma in hematologic oncology — a clinical domain absent from its documented training data.
Summary
This dataset documents failures of Google's MedGemma-4B on hematologic oncology prompts — a clinical subspecialty absent… See the full description on the dataset page: https://huggingface.co/datasets/Mateenah/medgemma-4b-hematologic-oncology-blind-spots.oncology-readability-collapse-risk-v0.3
What this dataset does
This dataset tests whether a model can detect pre-cancer instability risk from loss of signal readability rather than from stress burden alone.
The task is not cancer diagnosis.
The task is to classify whether a synthetic tissue ecology has entered readability collapse risk.
Core Stability Idea
The dataset represents a stability-transition hypothesis.
Cancer vulnerability may begin when tissue regulation loses the ability to correctly read… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/oncology-readability-collapse-risk-v0.3.africa-synth-cancer-geriatric-oncology-africa-eritrea
Geriatric Oncology Africa | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - 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
Health datasets help researchers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-cancer-geriatric-oncology-africa-eritrea.oncology-signal-alignment-boundary-v0.4
What this dataset does
This dataset tests whether a model can detect signal-alignment failure in a synthetic tissue ecology.
The task is not cancer diagnosis.
The task is to classify whether readable biological signals can still coordinate repair.
Core Stability Idea
A tissue may still read damage, repair, immune, and metabolic signals but fail because those subsystems no longer align around coherent action.
This dataset moves beyond readability collapse.
It tests… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/oncology-signal-alignment-boundary-v0.4.oncology-missing-signal-detection-v0.6
What this dataset does
This dataset tests whether a model can detect missing-signal instability risk in a synthetic tissue ecology.
The task is not cancer diagnosis.
The task is to classify whether the observed signal set is sufficient to support stable sensing.
Core Stability Idea
A tissue may appear stable because a critical signal is absent.
Absence of signal is not the same as evidence of stability.
This dataset tests whether a model can distinguish true calm… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/oncology-missing-signal-detection-v0.6.oncology-signal-latency-boundary-v0.5
What this dataset does
This dataset tests whether a model can detect timing failure in a synthetic tissue ecology.
The task is not cancer diagnosis.
The task is to classify whether a tissue-state scenario can detect and act before the repair opportunity closes.
Core Stability Idea
A tissue may detect the correct signal, interpret it correctly, and coordinate a response, but still fail because action arrives too late.
This dataset tests the timing layer of… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/oncology-signal-latency-boundary-v0.5.oncology-precancer-constraint-geometry-v0.2
What this dataset does
This dataset tests whether a model can detect pre-cancer instability from constraint geometry rather than single-variable thresholds.
The task is not cancer diagnosis.
The task is to classify whether a synthetic tissue ecology has crossed into a persistent instability transition.
Core Stability Idea
The dataset represents a stability-transition hypothesis.
Cancer vulnerability may begin when tissue regulation loses self-correcting coherence… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/oncology-precancer-constraint-geometry-v0.2.africa-synth-cancer-pediatric-oncology-africa-all
Pediatric Oncology Africa | Africa (World Health Organization)
Size category: 1K<n<10K - 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
Health datasets help researchers examine disease… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-cancer-pediatric-oncology-africa-all.precision_oncology_synthetic_trialsprecision_oncology_genomic_variant_analysis