datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Nemotron-Cascade-2-RL-data
Dataset Description:
The Nemotron-Cascade-2-RL dataset is a curated reinforcement learning (RL) dataset blend used to train Nemotron-Cascade-2-30B-A3B model. It includes instruction-following RL, multi-domain RL, on-policy distillation, and software engineering RL (SWE-RL) data.
This dataset is ready for commercial use.
The dataset contains the following subset:
IF-RL
Contains 45,879 training samples for instruction-following RL. Our curation process mainly… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Cascade-2-RL-data.tba-cascade-gap-largen
Cascade-Gap Large-N Study — evidence corpus and coding logs
Companion dataset for the working paper A Large-N Confirmatory Necessary-Condition Test of Closing-Time Structural Gaps in Acquisition Integration Failure (Zharnikov, 2026). Concept DOI 10.5281/zenodo.21755969. Dataset DOI 10.57967/hf/9805.
Code, paper, and reproduction pipeline: https://github.com/spectralbranding/orgschema-papers/tree/main/cascade-gap-largen
Dataset viewer
The viewer shows… See the full description on the dataset page: https://huggingface.co/datasets/spectralbranding/tba-cascade-gap-largen.cascade_bench
CascadeBench: Do Enterprise Systems Need Learned World Models?
🎉 Accepted to NeurIPS 2026: The Fortieth Annual Conference on Neural Information Processing Systems (Main Track)
A reasoning-focused benchmark for predicting enterprise business-rule cascades, built on synthetic schemas with rule-level attribution of every field change
About
In enterprise systems, the dynamics come from tenant-specific business logic that varies across deployments and changes over time.… See the full description on the dataset page: https://huggingface.co/datasets/ServiceNow-AI/cascade_bench.Nemotron-Cascade-RL-RLHF
Dataset Description:
The Nemotron-Cascade-RL-RLHF dataset is designed for Reinforcement Learning from Human Feedback (RLHF) training. It contains prompts and associated metadata to support the development of language model alignment.
This dataset is ready for commercial use.
The dataset contains the following subset:
RLHF Training Data
This data contains 45,882 samples used for RLHF training. It includes prompts, data sources, and category information.
This dataset is a… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Cascade-RL-RLHF.sci-agent-verification-cascade
Scientific Agent Verification Cascade
Public evaluation fixtures and verified aggregate results for testing whether
scientific claims keep their source, meaning, uncertainty, and verification
requirements as they move between AI agents.
This dataset accompanies the
Scientific Agent Verification Cascade
codebase. Version 0.2.0
contains synthetic evaluation data and aggregate-only results. It contains no
raw hosted-model response, private holdout identifier,
source-record… See the full description on the dataset page: https://huggingface.co/datasets/jang1563/sci-agent-verification-cascade.cascade-multi-ai-redteam-miss-exploit-patch-trust-collapse-v0.1
What this repo does
This dataset tests whether a model can detect a security cascade in AI deployment.
You provide structured signals about:
red-team coverage and disclosure
exploitability and incident rate
patch latency and rollout friction
downstream dependency depth
trust decay and regulatory attention
The model predicts whether the interaction crosses into a cascade event.
Core quad
The structural quad inside this cascade:
red_team_coverage
exploitability_index… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-multi-ai-redteam-miss-exploit-patch-trust-collapse-v0.1.africa-synth-hiv-art-treatment-cascade-all
HIV/ART Treatment Cascade Dataset (Cascade Stage, VL, CD4, Adherence, PMTCT) | 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-hiv-art-treatment-cascade-all.clinical-five-node-shock-cascade-boundary-v0.6
What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on shock cascade boundary dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating shock system represented as a five-node cascade.
The task requires reasoning from:
multi-node system state
trajectory toward instability
boundary geometry
recovery geometry
intervention vector
projected trajectory consequence
The… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.6.ABX-RM-003_efflux_pump_activation_cascade-v0.1ABX-RM-003 Efflux Pump Activation Cascade
Purpose
Detect a coherent rise in efflux expression that occurs before MIC shifts.
Core pattern
efflux_expression_rel rises across multiple timepoints
mic_drug_mg_L stays near baseline during the rise
mic_drug_mg_L rises later
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one timepoint in a within strain series.
Required columns
row_id
series_id
timepoint_h
organism
strain_id
efflux_system
efflux_expression_rel
drug_name… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-RM-003_efflux_pump_activation_cascade-v0.1.clinical-five-node-sepsis-cascade-boundary-v0.6
What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on sepsis cascade boundary dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating septic system represented as a five-node cascade.
The task requires reasoning from:
multi-node system state
trajectory toward instability
boundary geometry
recovery geometry
intervention vector
projected trajectory consequence
The… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-sepsis-cascade-boundary-v0.6.clinical-organ-failure-cascade-v1Clinical Organ Failure Cascade Detection
Overview
This dataset tests whether a model can detect when instability in a clinical system is about to propagate into a cascade of organ failure.
In severe infections such as sepsis, deterioration often begins in one subsystem before spreading across the entire physiological network. Once instability begins to propagate between organs, the system can enter a cascading failure regime where collapse accelerates rapidly.
The benchmark evaluates whether… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-organ-failure-cascade-v1.clinical-quad-exposure-metabolism-interaction-toxicity-cascade-v0.1Clinical Quad Dose Renal ConMed Time Safety Drift v0.1
What this dataset is
You test whether a model can detect when a patient in a drug trial is entering a safety risk state.
Each row is a patient state snapshot.
Core quad coupling
Dose levelRenal functionConcomitant medication loadTime on treatment
The label asks
Will an adverse event occur in the next 7 days
Columns… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-exposure-metabolism-interaction-toxicity-cascade-v0.1.cascade-f1-teamstrategy-coupling-rival-response-tyre-delta-gap-v0.1
F1 TeamStrategy–Coupling–RivalResponse–TyreDelta–Gap Cascade
A five-node coupling model for team-level strategic collapse in Formula 1.
This repository models how two-car strategy alignment, rival response speed, tyre delta, and track position gap interact to produce non-linear outcome cascades.
It shifts analysis from single-car optimisation to multi-agent interaction geometry.
What This Repo Demonstrates
You can:
• Score a two-car strategic state for cascade risk•… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-f1-teamstrategy-coupling-rival-response-tyre-delta-gap-v0.1.energy-grid-cascade-horizon-and-intervention-routing-v0.1Goal
Predict how long until a grid cascadeand route the minimal stabilizing intervention.
What it tests
Whether a system can:
estimate cascade horizon
localize primary risk cluster
select stabilizing interventions
quantify stabilization gain
Inputs
phase spread
frequency variance
intertie loading
reactive reserve
inertia
coherence decay metrics
Outputs
cascade_horizon_min
primary_risk_cluster
intervention_set
expected_stabilization_gain
confidence_score
Why it… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/energy-grid-cascade-horizon-and-intervention-routing-v0.1.cascade-multi-ai-platform-media-regulator-shutdown-v0.1
What this repo does
This dataset models a public visibility cascade in AI deployment environments.
You provide structured signals describing:
incident visibility
media amplification
regulatory pressure
platform restriction intensity
sentiment, misinformation, and legal escalation indicators
The model predicts whether the interaction escalates into a shutdown-level cascade event.
Core quad
The structural quad driving this cascade:
incident_visibility_index… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-multi-ai-platform-media-regulator-shutdown-v0.1.cascade-f1-tyre-tracktemp-fuelload-strategy-degradation-v0.1
F1 Tyre–TrackTemp–FuelLoad–Strategy Degradation Cascade
A quad coupling model for strategic collapse driven by tyre degradation dynamics.
This repository models how tyre wear, track temperature, fuel mass, and strategy timing interact to produce undercut vulnerability and late-stint performance failure.
It shifts analysis from single-metric tyre wear tracking to interaction-driven instability surfaces.
What This Repo Demonstrates
You can:
• Score a race state for… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-f1-tyre-tracktemp-fuelload-strategy-degradation-v0.1.africa-synth-hiv-treatment-cascade-drug-all
Africa Synth Hiv Treatment Cascade Drug 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
Health datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-hiv-treatment-cascade-drug-all.cascade-multi-ai-energy-market-policy-v0.1
What this repo does
This dataset models a cross-domain cascade linking AI demand, energy systems, financial markets, and policy response.
You provide structured signals describing:
AI compute demand growth
grid stress and energy volatility
market instability and capital pressure
policy lag and regulatory intervention
buffering capacity across energy and finance
The model predicts whether cross-system strain escalates into a cascade event.
Core cascade
Four… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-multi-ai-energy-market-policy-v0.1.cascade-f1-powerunit-cooling-ambient-reliability-v0.1
What this repo does
This repo models a quad coupling pattern linked to thermal reliability collapse.
It supports:
• scoring race states for DNF risk region entry• identifying which variables drive thermal margin loss• testing cooling and load redesign moves
The sample is synthetic.It shows the geometry.
Core quad
• engine_load• cooling_capacity• ambient_temp• component_degradation_rate
Prediction target
label_cascade
• 0 means stable thermal operating… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-f1-powerunit-cooling-ambient-reliability-v0.1.clinical-five-node-respiratory-cascade-boundary-v0.8
What this repo does
This repository provides a Clarus v0.8 clinical five-node dataset for detecting and reasoning about respiratory cascade boundary transitions.
The dataset models situations where a patient state is no longer contained within a single respiratory basin but is shifting between competing regimes such as:
progressive hypoxemia with gas-exchange strain
ventilatory failure
hypercapnic decompensation
refractory multisystem respiratory collapse
This is the conceptual… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-respiratory-cascade-boundary-v0.8.clinical-five-node-mof-cascade-boundary-v1.0
ClarusC64/clinical-five-node-mof-cascade-boundary-v1.0
What this repo does
This repository provides a Clarus v1.0 benchmark for multi-organ-failure cascade boundary dynamics using a five-node clinical cascade:
metabolic_stress
perfusion_deficit
renal_strain
hepatic_drift
buffer_capacity
The v1.0 upgrade is Closed-Loop Control Geometry.
The task is no longer limited to detecting deterioration, forecasting cascade spread, or ranking one intervention against another.
It… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-mof-cascade-boundary-v1.0.tb-treatment-cascade
Drug-Sensitive TB Treatment Cascade (Diagnosis, DOTS, Adherence, Outcomes) | 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/tb-treatment-cascade.cascade-f1-pit-traffic-safetycar-fieldcompression-v0.1
F1 Pit–Traffic–SafetyCar–FieldCompression Cascade
A quad coupling model for position-loss cascades driven by pit timing under dynamic race conditions.
This repository models how pit delta, traffic density, safety car probability, and field compression interact to produce non-linear position collapse.
It shifts analysis from isolated pit loss metrics to interaction-driven strategic instability surfaces.
What This Repo Demonstrates
You can:
• Score a race state for pit… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-f1-pit-traffic-safetycar-fieldcompression-v0.1.clinical-five-node-mof-cascade-boundary-v0.3
What this repo does
This dataset models multi-organ failure cascade boundary approach using a Clarus five-node coupling framework combined with trajectory and system dynamics.
The goal is to predict whether a patient is approaching the multi-organ failure cascade boundary.
The dataset introduces a dynamic forecasting layer that allows models to reason about motion through the stability manifold rather than relying only on static physiological snapshots.
Core five-node… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-mof-cascade-boundary-v0.3.ai-5node-cap-buf-lag-cpl-oversight-cascade-v0.1
What this repo does
This dataset models oversight lag collapse in AI deployment systems. It detects when rising capability pressure, weakening oversight buffer, delayed triage and intervention, and tight system coupling cross the five-node cascade threshold into an unrecoverable oversight cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth node represents the nonlinear transition from recoverable drift to… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-cap-buf-lag-cpl-oversight-cascade-v0.1.clinical-five-node-shock-cascade-boundary-v0.8
What this repo does
This repository provides a Clarus v0.8 clinical five-node dataset for detecting and reasoning about shock cascade boundary transitions.
The dataset models situations where a patient state is no longer contained within a single shock basin but is shifting between competing regimes such as:
compensated shock with rising perfusion strain
vasodilatory collapse
cardiogenic spiral
refractory multi-organ shock
This is the conceptual upgrade introduced in Clarus v0.8.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.8.clinical-counterfactual-systemic-cascade-simulation-v0.2
Clinical Counterfactual Systemic Cascade Simulation v0.2
What this is
A small dataset that tests one question:
Can you detect when a counterfactual clinical system is moving toward cascade failure, not just carrying instability?
This repo focuses on counterfactual systemic cascade simulation.
It models a system where:
counterfactual divergence may widen
cascade pressure may rise
systemic coupling may tighten
reversibility may shrink before overt failure appears… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-counterfactual-systemic-cascade-simulation-v0.2.CC-cascade-collapse-probe-v1
What this dataset tests
This dataset tests whether a model can detect instability caused by delayed feedback from a compact state-space snapshot.
Core instability geometry
Delayed feedback collapse occurs when corrective action arrives too late to stabilize the system.As instability grows, the recovery window shrinks until intervention becomes ineffective.
Prediction target
label_delayed_feedback_collapse
1 = collapse caused by delayed intervention0 = system… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/CC-cascade-collapse-probe-v1.F1-cascade-propagation-and-failure-horizon-v0.1What this dataset tests
Whether a system can trace
how decoherence propagates across subsystems
and estimate time-to-failure.
Required outputs
initial_decoupling_pair
propagation_path
affected_components
cascade_velocity
predicted_failure_component
failure_horizon_laps
intervention_window_laps
containment_feasibility_score
Field meanings
cascade_velocity0 to 1higher means faster spread
failure_horizon_lapslaps until failure becomes likely
intervention_window_lapslaps… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/F1-cascade-propagation-and-failure-horizon-v0.1.clinical-five-node-sepsis-cascade-boundary-v0.3
What this repo does
This dataset models sepsis cascade boundary approach using a Clarus five-node coupling framework combined with trajectory and system dynamics.
The goal is to predict whether a patient is approaching the sepsis cascade boundary.
The dataset introduces a dynamic forecasting layer that allows models to reason about motion through the stability manifold rather than relying only on static physiological snapshots.
Core five-node cascade… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-sepsis-cascade-boundary-v0.3.