datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
f1-latent-cross-coupling-aero-balance-instability-v0.1
What this repo does
This repository introduces a Clarus dataset for detecting latent instability under cross-coupled conditions in Formula 1 aero-balance systems.
The goal is to identify race states in which aero balance may still appear outwardly stable or only mildly anomalous but already contains hidden internal instability that may activate into sudden balance loss once interacting pressures exceed containment.
Core structure
This dataset models a pre-failure geometry… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-latent-cross-coupling-aero-balance-instability-v0.1.f1-latent-cross-coupling-thermal-load-instability-v0.1
What this repo does
Detects hidden thermal instability before performance loss appears.
Focus: temperature-driven failure across interacting systems.
Core variables
tyre_temp_load
brake_temp_load
power_unit_heat_load
cooling_efficiency
Prediction target
label_thermal_load_instability
1 → thermal regime will force performance drop0 → thermal state remains stable
Key idea
Thermal failure is rarely single-source.
It emerges from interaction:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-latent-cross-coupling-thermal-load-instability-v0.1.latent-cross-coupling-instability-benchmark-v0.1Latent Cross Coupling Instability Benchmark v0.1
Overview
Some systems collapse not because visible signals indicate imminent failure, but because hidden interactions between subsystems amplify stress in ways that are not directly observable.
This benchmark evaluates whether machine learning systems can detect instability caused by latent cross-coupling interactions.
In these scenarios:
• subsystem A appears stable
• subsystem B appears stable
• observed coupling appears moderate
Yet hidden… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/latent-cross-coupling-instability-benchmark-v0.1.finance-latent-cross-coupling-liquidity-collapse-v0.1
What this repo does
This repository introduces a Clarus dataset for detecting latent instability under cross-coupled conditions in financial systems.
The goal is to identify institutions, markets, or portfolios that may still appear outwardly stable or only mildly abnormal but already contain hidden internal degradation that may activate into overt liquidity collapse once interacting pressures exceed containment.
Core structure
This dataset models a pre-failure geometry… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/finance-latent-cross-coupling-liquidity-collapse-v0.1.football-latent-cross-coupling-pressing-fatigue-breakdown-v0.1
What this repo does
This dataset detects hidden instability in high-press football systems before visible breakdown occurs.
It identifies when pressing intensity and fatigue are interacting in a way that will lead to structural collapse.
Core structure
This dataset models:
latent instability under sustained pressing
fatigue accumulation
transition exposure
cross-coupled breakdown risk
Prediction target
Binary:
1 → pressing system likely to break down due to… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/football-latent-cross-coupling-pressing-fatigue-breakdown-v0.1.building-latent-cross-coupling-mould-proliferation-v0.1
What this repo does
This repository introduces a Clarus dataset for detecting latent instability under cross-coupled conditions in building environments.
The goal is to identify structures that still appear outwardly stable but already contain hidden internal degradation that may activate into overt mould proliferation once interacting pressures exceed containment.
Core structure
This dataset models a pre-failure geometry built from:
latent instability
cross-coupling… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/building-latent-cross-coupling-mould-proliferation-v0.1.f1-latent-cross-coupling-tyre-degradation-collapse-v0.1
What this repo does
This repository introduces a Clarus dataset for detecting latent instability under cross-coupled conditions in Formula 1 tyre performance systems.
The goal is to identify race states in which tyre behavior may still appear outwardly stable or only mildly anomalous but already contains hidden internal degradation that may activate into sudden tyre degradation collapse once interacting pressures exceed containment.
Core structure
This dataset models… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-latent-cross-coupling-tyre-degradation-collapse-v0.1.football-latent-cross-coupling-team-structure-collapse-v0.1
What this repo does
This repository introduces a Clarus dataset for detecting latent instability under cross-coupled conditions in football team structure.
The goal is to identify match states in which a team may still appear organized or only mildly unstable but already contains hidden internal degradation that may activate into overt structural collapse once interacting pressures exceed containment.
Core structure
This dataset models a pre-failure geometry built from:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/football-latent-cross-coupling-team-structure-collapse-v0.1.football-latent-cross-coupling-midfield-control-breakdown-v0.1
What this repo does
This dataset detects hidden instability in football midfield control before visible breakdown occurs.
It identifies when spacing distortion, press-resistance erosion, and second-ball loss pressure are interacting in a way that will produce midfield control breakdown.
Core structure
This dataset models:
latent instability in midfield control
spacing distortion under pressure
press-resistance erosion
cross-coupled control breakdown risk… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/football-latent-cross-coupling-midfield-control-breakdown-v0.1.clinical-latent-cross-coupling-sepsis-onset-v0.1
What this repo does
This repository introduces a Clarus dataset for detecting latent instability under cross-coupled conditions in clinical environments.
The goal is to identify patients who may still appear outwardly stable or only mildly abnormal but already contain hidden internal degradation that may activate into overt sepsis onset once interacting pressures exceed containment.
Core structure
This dataset models a pre-failure geometry built from:
latent instability… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-latent-cross-coupling-sepsis-onset-v0.1.football-latent-cross-coupling-defensive-transition-collapse-v0.1
What this repo does
This dataset detects hidden instability in football defensive transition states before visible collapse occurs.
It identifies when recovery delay, transition exposure, and rest-defence fragility are interacting in a way that will produce defensive transition collapse.
Core structure
This dataset models:
latent instability in defensive transition
recovery delay under stress
rest-defence fragility
cross-coupled collapse risk
Prediction target… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/football-latent-cross-coupling-defensive-transition-collapse-v0.1.ai-latent-cross-coupling-model-drift-v0.1
What this repo does
This repository introduces a Clarus dataset for detecting latent instability under cross-coupled conditions in AI systems.
The goal is to identify models or deployed inference systems that may still appear outwardly stable or only mildly anomalous but already contain hidden internal degradation that may activate into overt model drift once interacting pressures exceed containment.
Core structure
This dataset models a pre-failure geometry built from:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-latent-cross-coupling-model-drift-v0.1.f1-latent-cross-coupling-stint-collapse-dynamics-v0.1
What this repo does
This dataset detects hidden instability in F1 stint performance before visible collapse occurs.
It identifies when degradation acceleration, pace-management fragility, and track-evolution pressure are interacting in a way that will produce stint collapse dynamics.
Core structure
This dataset models:
latent instability across a stint
degradation acceleration under load
pace-management fragility
cross-coupled stint collapse risk
Prediction… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-latent-cross-coupling-stint-collapse-dynamics-v0.1.