datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BUFFER_before_T2This dataset was created using LeRobot.
Dataset Structure
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6… See the full description on the dataset page: https://huggingface.co/datasets/asdl-unist/BUFFER_before_T2.291-jpizarrom-hilserl_so100_push_v3_replay_bufferThis dataset was created using LeRobot.
Dataset Structure
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/LeRobot-worldwide-hackathon/291-jpizarrom-hilserl_so100_push_v3_replay_buffer.pi05-molmoact2-yam-autonmous-bufferThis dataset was created using LeRobot.
Dataset Structure
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"left_joint_5",
"left_joint_6"… See the full description on the dataset page: https://huggingface.co/datasets/Dimios45/pi05-molmoact2-yam-autonmous-buffer.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.6
What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on respiratory collapse dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating respiratory system.
The task requires reasoning from:
system state
trajectory toward instability
boundary geometry
recovery geometry
intervention vector
projected trajectory consequence
The model cannot read the answer directly.
It must… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.6.clinical-quad-surgical-stress-buffer-lag-coupling-postop-collapse-v1.0
ClarusC64/clinical-quad-surgical-stress-buffer-lag-coupling-postop-collapse-v1.0
What this repo does
This repository provides a Clarus v1.0 benchmark for postoperative collapse under a four-variable clinical quad:
surgical_stress
buffer_capacity
lag_burden
coupling_stress
The v1.0 upgrade is Closed-Loop Control Geometry.
The task is no longer limited to detecting deterioration or ranking one intervention against another.
It tests whether a controller can:
choose the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-surgical-stress-buffer-lag-coupling-postop-collapse-v1.0.distill_from_buffer_resetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/pyrrosk/distill_from_buffer_reset.clinical-quad-surgical-stress-buffer-lag-coupling-postop-collapse-v0.6
What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on postoperative collapse dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating postoperative system.
The task requires reasoning from:
system state
trajectory toward instability
boundary geometry
recovery geometry
intervention vector
projected trajectory consequence
The model cannot read the answer directly.
It… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-surgical-stress-buffer-lag-coupling-postop-collapse-v0.6.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.1
Clinical Quad Oxygen Demand Buffer Lag Coupling Respiratory Collapse v1.1
What this repo does
This dataset evaluates whether a model can select the correct control policy when:
multiple respiratory interventions appear viable
early signals suggest improvement
alternative policies produce better long-term outcomes
The task is not prediction.
The task is selecting the correct action under uncertainty, feedback, and misleading signal structure.
Core quad
The… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.1.clinical-quad-infection-buffer-lag-coupling-sepsis-transition-v1.1
Clinical Quad Infection Buffer Lag Coupling Sepsis Transition v1.1
What this repo does
This dataset evaluates whether a model can select the correct control policy when:
multiple sepsis interventions appear viable
early signals suggest improvement
alternative policies produce better long-term outcomes
The task is not prediction.
The task is selecting the correct action under uncertainty, feedback, and misleading signal structure.
Core quad
The system is… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-infection-buffer-lag-coupling-sepsis-transition-v1.1.clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v1.0
ClarusC64/clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v1.0
What this repo does
This repository provides a Clarus v1.0 benchmark for multi-organ failure transition under a four-variable clinical quad:
metabolic_stress
buffer_capacity
lag_burden
organ_coupling_stress
The v1.0 upgrade is Closed-Loop Control Geometry.
The task is no longer limited to detecting deterioration or ranking one intervention against another.
It tests whether a… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v1.0.clinical-quad-infection-buffer-lag-coupling-sepsis-transition-v1.3
Clinical Quad Infection Buffer Lag Coupling Sepsis Transition v1.3
Benchmark definition
Benchmark family: ClarusBenchmark layer: v1.3Geometry type: Failure Reconstruction GeometryDomain: Clinical stability systemsStructure: Quad coupling instability model
Primary question:
Can a model reconstruct the causal pathway that produced a failure state?
Evaluation requires identifying:
the ordered failure decision chain
the root policy error
the counterfactual recovery… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-infection-buffer-lag-coupling-sepsis-transition-v1.3.supply-chain-buffer-exhaustion-v0.1
supply-chain-buffer-exhaustion-v0.1
What this dataset does
This dataset evaluates whether models can detect supply chain instability arising from inventory pressure and logistics delay.
Each row represents a simplified supply-chain scenario across three time steps.
The task is to determine whether the system remains stable or moves toward inventory collapse.
Core stability idea
Supply chains rarely fail because of demand alone.
Instead instability emerges from… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/supply-chain-buffer-exhaustion-v0.1.can-iql-r6-online-buffer-v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"fps": 20,
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/can-iql-r6-online-buffer-v1.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling respiratory collapse.
Earlier Clarus datasets focused on detecting deterioration states and identifying instability boundaries.
Version v0.5 adds a recovery geometry layer that asks a stricter question:
Can the system still return to stability?
The task is binary classification over respiratory deterioration states using:
• a four-variable clinical quad• trajectory dynamics•… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.5.clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling multiorgan failure transition.
Earlier Clarus datasets focused on detecting deterioration states and identifying instability boundaries.
Version v0.5 adds a recovery geometry layer that asks a stricter question:
Can the system still return to stability?
The task is binary classification over MOF-linked deterioration states using:
• a four-variable clinical quad• trajectory dynamics•… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v0.5.clinical-quad-surgical-stress-buffer-lag-coupling-postop-collapse-v0.8
What this repo does
This repository provides a Clarus v0.8 clinical quad dataset for detecting and reasoning about postoperative collapse regime transitions.
The dataset models situations where a patient state is no longer contained within a single postoperative recovery basin but is shifting between competing regimes such as:
inflammatory postoperative stress
hemodynamic collapse
septic deterioration
multiorgan instability
This is the conceptual upgrade introduced in Clarus v0.8.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-surgical-stress-buffer-lag-coupling-postop-collapse-v0.8.3k-buffer-continued-022725-step1-ttt6clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v0.9
Clinical Quad Metabolic Stress Buffer Lag Organ Coupling MOF Transition (v0.9)
What this repo does
This dataset implements a Clarus v0.9 intervention-competition benchmark.
Earlier dataset versions focused on detecting:
deterioration
regime transitions
boundary proximity
recovery feasibility
v0.9 extends the ladder.
The benchmark now evaluates whether a model can identify the correct rescue path when multiple interventions compete under narrowing rescue windows.
This… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v0.9.clinical-quad-ventilation-stress-buffer-lag-coupling-ventilator-deterioration-v0.4
What this repo does
This repository contains a Clarus v0.4 cascade boundary discovery dataset modeling ventilator deterioration.
Earlier Clarus datasets focused on detecting cascade states or forecasting collapse trajectories.
Version v0.4 extends the framework to a harder task:
detecting whether a system lies on the instability boundary itself.
The dataset models ventilator-linked deterioration as a coupled physiological system in which ventilation stress, declining physiological… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-ventilation-stress-buffer-lag-coupling-ventilator-deterioration-v0.4.clinical-quad-neural-stress-buffer-lag-coupling-neuro-deterioration-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling neuro deterioration.
Earlier Clarus datasets focused on detecting deterioration states and identifying instability boundaries.
Version v0.5 adds a recovery geometry layer that asks a stricter question:
Can the system still return to stability?
The task is binary classification over neuro-linked deterioration states using:
• a four-variable clinical quad• trajectory dynamics•… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-neural-stress-buffer-lag-coupling-neuro-deterioration-v0.5.clinical-quad-ventilation-stress-buffer-lag-coupling-ventilator-deterioration-v0.6
What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on ventilator deterioration dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating ventilated system.
The task requires reasoning from:
system state
trajectory toward instability
boundary geometry
recovery geometry
intervention vector
projected trajectory consequence
The model cannot read the answer directly.
It… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-ventilation-stress-buffer-lag-coupling-ventilator-deterioration-v0.6.clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v0.7
What this repo does
This repository contains a Clarus v0.7 dataset modeling MOF transition using a quad-coupling system representation.
The dataset extends the v0.6 intervention layer by introducing uncertainty geometry.
The question addressed by earlier versions was:
Can the system be stabilized?
v0.7 adds a second critical question:
How confident are we in that conclusion?
This allows Clarus to distinguish three operational states:
• confident deterioration• confident… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v0.7.clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.1
What this repo does
This dataset models the transition from compensated trauma physiology to systemic deterioration using a four-variable coupling structure.
The goal is to detect when trauma patients are drifting toward hemodynamic collapse before overt shock or organ failure occurs.
Trauma deterioration often unfolds as a cascade: perfusion declines, physiological reserves are consumed, treatment delays amplify instability, and organ systems begin to couple into systemic failure.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.1.clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset for trauma deterioration.
Earlier Clarus datasets focused on detecting cascade states and identifying instability boundaries.Version v0.5 introduces a recovery geometry layer that asks a deeper question:
Can the system still return to stability?
The task is binary classification over trauma-linked deterioration states using:
• a four-variable clinical quad• trajectory dynamics• boundary… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.5.clinical-quad-stress-buffer-lag-coupling-icu-collapse-v0.4
What this repo does
This repository contains a Clarus v0.4 cascade boundary discovery dataset modeling ICU collapse.
Earlier Clarus datasets focused on detecting cascade states or forecasting collapse trajectories.
Version v0.4 extends the framework to a harder task:
detecting whether a system lies on the instability boundary itself.
The dataset models ICU deterioration as a coupled physiological system in which rising system stress, declining physiological buffer, delayed… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-stress-buffer-lag-coupling-icu-collapse-v0.4.clinical-quad-neural-stress-buffer-lag-coupling-neuro-deterioration-v0.6
What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on neuro deterioration dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating neural system.
The task requires reasoning from:
system state
trajectory toward instability
boundary geometry
recovery geometry
intervention vector
projected trajectory consequence
The model cannot read the answer directly.
It must infer… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-neural-stress-buffer-lag-coupling-neuro-deterioration-v0.6.clinical-quad-renal-stress-buffer-lag-coupling-aki-transition-v0.4
What this repo does
This repository introduces a Clarus v0.4 dataset for acute kidney injury transition boundary discovery.
The dataset models renal deterioration as a coupled system where stress, physiological reserve, delayed intervention, and organ coupling interact.
Version v0.4 focuses on identifying when the system lies on the instability boundary rather than simply forecasting collapse.
The task is to detect when the renal system is sufficiently close to collapse that small… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-renal-stress-buffer-lag-coupling-aki-transition-v0.4.clinical-quad-surgical-stress-buffer-lag-coupling-postop-collapse-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling postoperative collapse.
Earlier Clarus datasets focused on detecting deterioration states and identifying instability boundaries.
Version v0.5 adds a recovery geometry layer that asks a stricter question:
Can the system still return to stability?
The task is binary classification over postoperative deterioration states using:
• a four-variable clinical quad• trajectory dynamics•… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-surgical-stress-buffer-lag-coupling-postop-collapse-v0.5.clinical-quad-stress-buffer-lag-coupling-icu-collapse-v0.6
What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on ICU collapse dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating critical care system.
The task requires reasoning from:
system state
trajectory toward instability
boundary geometry
recovery geometry
intervention vector
projected trajectory consequence
The model cannot read the answer directly.
It must infer… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-stress-buffer-lag-coupling-icu-collapse-v0.6.clinical-quad-stress-buffer-lag-coupling-icu-collapse-v0.9
Clinical Quad Stress Buffer Lag Coupling ICU Collapse (v0.9)
What this repo does
This dataset implements a Clarus v0.9 intervention-competition benchmark.
Earlier dataset versions focused on detecting:
deterioration
regime transitions
boundary proximity
recovery feasibility
v0.9 extends the ladder.
The benchmark now evaluates whether a model can identify the correct rescue path when multiple interventions compete under narrowing rescue windows.
This reflects real system… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-stress-buffer-lag-coupling-icu-collapse-v0.9.