pathway
Datasets
All datasets matching “pathway”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.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.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.