datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nba-draft-high-school-pathways-2016-2026
NBA Draft × High-School Pathways 2016–2026
Analysis-ready panel of 653 actual NBA draft selections from 2016 through 2026,
with each player's drafting franchise, canonical college or prior organization,
finishing high-school/prep pathway, school-type classification, and source lineage.
Version 1.0.0 is a schema-breaking quality release. It replaces the original
mixed and sparse college_or_prior field with structured pathway fields and removes
three blank rows that represented… See the full description on the dataset page: https://huggingface.co/datasets/dharits3/nba-draft-high-school-pathways-2016-2026.pathways-kg
Pathways Knowledge Graph — partial build
138,725 nodes. 601,322 edges. Human biological pathways, protein interactions, Gene
Ontology annotations, genes, drugs and diseases in one graph.
Built with Samyama Graph.
Loader: samyama-ai/pathways-kg.
Known gaps
Measured against the engine directly, not inferred:
#
Gap
Detail
1
PARTICIPATES_IN is 2% of its reported size
The Reactome loader reports participates_in_edges=143723. The graph holds 3,423. 140,300… See the full description on the dataset page: https://huggingface.co/datasets/VaidhyaMegha/pathways-kg.clust_pathway_scoresclinical-therapeutic-pathway-trajectory-manifold-construction-v0.1What this dataset tests
Whether a model can represent treatment pathways as trajectoriesthrough a high-dimensional patient state space.
It is a movie dataset.
Each example encodes
baseline state vector
time-indexed state vectors
interventions and timing
modality deltas
trajectory shape features
Manifold summary labels
smooth_improvement
plateau
oscillatory
deterioration
mixed_uncertain
Typical failures
treating the pathway as a single snapshot
ignoring modality… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-therapeutic-pathway-trajectory-manifold-construction-v0.1.climate-resilience-pathway-reconstruction-v0.1What this dataset tests
Whether a system-level interventionproduced a durable shift toward resilience.
Required outputs
pre-intervention basin
intervention entry point
trajectory curvature change
recovery timing
residual fragility
Use case
First layer of the Resilience Intervention Pathways trinity.
clinical-therapeutic-pathway-adaptive-navigation-v0.1What this dataset tests
Whether a model can choose the best next pathway movebased on manifold position and invariant branch signatures.
Navigation actions
stay_course
adjust_dose
switch_class
pause_observe
add_support_module
deescalate_exit_loop
urgent_escalation
Outputs
one recommended action
2 to 3 microsteps
one navigation label
Labels
coherent_navigation
partially_coherent
incoherent_navigation
Typical failures
protocol reflex that ignores invariant… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-therapeutic-pathway-adaptive-navigation-v0.1.clinical-tpib-pathway-stability-and-risk-guardrails-v0.1What this dataset tests
Given proposed next interventionsclassify stability in the response manifoldand add a guardrail that prevents known failure patterns.
Labels
stable_move
high_variance_move
risky_move
contraindicated_move
Typical failures
repeating tolerance loops
retrial after paradoxical worsening
allowing oscillation through exposure gaps
undertreating high-risk physiology
adding noise in flat nonresponse cases
Suggested prompt wrapper
System
You evaluate… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-tpib-pathway-stability-and-risk-guardrails-v0.1.clinical-therapeutic-pathway-offramp-onramp-signature-detection-v0.1What this dataset tests
Whether a model can detect invariant signatures at clinical branch pointsand predict the next trajectory basin after an intervention choice.
Branch points include
dose change
switch class
pause
escalation
de-escalation
add-on support
Outputs
invariant signature label
predicted next basin
off-ramp or on-ramp classification
Basin labels
stabilization_basin
tolerance_loop_basin
oscillation_basin
deterioration_basin
delayed_recovery_basin… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-therapeutic-pathway-offramp-onramp-signature-detection-v0.1.africa-synth-malaria-diagnostic-treatment-pathways-all
Africa Synth Malaria Diagnostic Treatment Pathways All | Africa (Electric Sheep Africa metadata inventory)
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/africa-synth-malaria-diagnostic-treatment-pathways-all.protein-folding-pathway-instability-v0.1
protein-folding-pathway-instability-v0.1
What this dataset does
This dataset evaluates whether models can detect instability in protein folding pathways.
Each row represents a simplified protein folding scenario defined by structural and interaction proxies.
The task is to determine whether the folding pathway is stable or likely to produce misfolding or aggregation.
Core stability idea
Protein folding stability depends on interactions between:
hydrophobic… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/protein-folding-pathway-instability-v0.1.clinical-etiological-pathway-divergence-mapping-v0.1What this dataset tests
Whether a model can identify how different etiological pathwaysenter the same stable illness basin.
Required outputs
pathway_type
entry_signature_top5
distance_from_basin_core_0_100
Pathway types
viral_triggered
stress_triggered
toxic_exposure
iatrogenic
mixed_or_unknown
Typical failures
using basin_id as a proxy for pathway
ignoring early phase features
outputting distance with no rationale
Suggested prompt wrapper
System
You map… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-etiological-pathway-divergence-mapping-v0.1.market-cross-market-contagion-pathway-expansion-v0.1What this dataset tests
Whether a system can map second-order market contagion.
Scope
Second wave only.Days to weeks.This extends beyond first-order transmission.
Required outputs
second-order nodes
contagion path graph
leverage amplification score
margin call pressure index
cross-asset correlation shift
Shift labels
correlation_up
correlation_down
mixed
Constraints
Market only.Do not forecast price direction.Model propagation pathways and constraint pressure.
Evaluation focus… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/market-cross-market-contagion-pathway-expansion-v0.1.