datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cryptocurrency-futures-ohlcv-dataset-1mNode0aibird_nl_to_sql_nodelower-site-598666
lower-site-598666
Synthetic products test data: 46 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Kestrel-Node/lower-site-598666.clinical-five-node-shock-cascade-boundary-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling shock cascade transition with a five-node clinical structure.
Earlier Clarus datasets focused on state detection and boundary discovery.
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 shock-linked deterioration states using:
• a five-node clinical cascade• trajectory… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.5.nodeai_ft_thrillernodejs-reasoningSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: Node.js
Documentation Data Source Link: https://nodejs.org/docs/latest/api/
Data Source License: https://github.com/nodejs/node/blob/main/LICENSE
Data Source Authors: Node.js Contributors
AI Benchmarks by Data Agents © 2025 RELAI.AI · Licensed under CC BY 4.0. Source: https://relai.ai
nodesHere is the processed node data from PubTator used for knowledge-enhanced hypothesis generation in the TruthHypo benchmark (IJCAI 25), which is designed to evaluate the capabilities of LLMs in generating truthful scientific hypothesis. The paper is available at https://arxiv.org/abs/2505.14599.
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.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.clinical-five-node-respiratory-cascade-boundary-v0.4
What this repo does
This dataset models respiratory cascade instability boundaries using a five-node physiological interaction system.
Clarus v0.4 datasets focus on detecting whether systems lie on the edge of cascade instability.
The objective is to determine when the respiratory system is so close to collapse that even small perturbations trigger systemic deterioration.
Core cascade nodes
oxygen_demandrespiratory_bufferintervention_delayorgan_couplingventilation_stress… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-respiratory-cascade-boundary-v0.4.clinical-five-node-sepsis-cascade-boundary-v0.7
What this repo does
This repository contains a Clarus v0.7 dataset modeling sepsis cascade boundary detection using a five-node cascade representation.
The dataset extends the earlier cascade-boundary structure by introducing uncertainty geometry.
The earlier question was:
Where is the cascade boundary?
v0.7 adds a second critical question:
How confident are we in that boundary and intervention judgment?
This allows Clarus to distinguish:
• confident boundary proximity• confident… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-sepsis-cascade-boundary-v0.7.clinical-five-node-mof-cascade-boundary-v0.7
What this repo does
This repository contains a Clarus v0.7 dataset modeling MOF cascade boundary detection using a five-node cascade representation.
The dataset extends the earlier cascade-boundary structure by introducing uncertainty geometry.
The earlier question was:
Where is the cascade boundary?
v0.7 adds a second critical question:
How confident are we in that boundary and intervention judgment?
This allows Clarus to distinguish:
• confident boundary proximity• confident… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-mof-cascade-boundary-v0.7.datacenter-node-failure-cascade-risk-v0.1What this repo is for
Detect cascading node failure risk before full cluster outage.
Focus
• replication margin vs load
• failover speed
• service dependency density
• node failure clustering
Why it matters
Most major outages begin with small local failures.
The cascade forms when redundancy, load shift, and recovery fall out of alignment.
This dataset lets operators detect that drift early.
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.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-five-node-mof-cascade-boundary-v0.9
Clinical Five Node MOF Cascade Boundary (v0.9)
What this repo does
This dataset implements a Clarus v0.9 intervention-competition benchmark across a five-node multiorgan failure cascade.
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… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-mof-cascade-boundary-v0.9.bird_column_selection_nodenodejs-standardSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: Node.js
Documentation Data Source Link: https://nodejs.org/docs/latest/api/
Data Source License: https://github.com/nodejs/node/blob/main/LICENSE
Data Source Authors: Node.js Contributors
AI Benchmarks by Data Agents © 2025 RELAI.AI · Licensed under CC BY 4.0. Source: https://relai.ai
clinical-five-node-sepsis-cascade-boundary-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling sepsis cascade transition with a five-node clinical structure.
Earlier Clarus datasets focused on state detection and boundary discovery.
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 sepsis-linked deterioration states using:
• a five-node clinical cascade• trajectory… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-sepsis-cascade-boundary-v0.5.clinical-five-node-mof-cascade-boundary-v0.8
What this repo does
This repository provides a Clarus v0.8 clinical five-node dataset for detecting and reasoning about multi-organ failure cascade boundary transitions.
The dataset models situations where a patient state is no longer contained within a single metabolic-organ failure basin but is shifting between competing regimes such as:
metabolic overload with early organ strain
renal-hepatic failure transition
perfusion-linked organ cascade
refractory multi-organ failure
This… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-mof-cascade-boundary-v0.8.clinical-five-node-shock-cascade-boundary-v0.1
What this repo does
This dataset models the transition from pressured but recoverable circulation to shock cascade using a five-variable interaction structure.
The goal is to detect when a patient is drifting toward shock boundary failure before overt systemic collapse is fully established.
Shock often unfolds as a cascade: perfusion pressure falls, physiological reserve narrows, intervention delays reduce reversibility, organ interactions amplify instability, and metabolic… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.1.clinical-five-node-shock-cascade-boundary-v0.2
What this repo does
This dataset evaluates whether machine learning models can detect shock cascade boundary transitions using both system state and system trajectory.
Earlier Clarus datasets in the v0.1 series tested whether models could classify system state alone.
Clarus v0.2 datasets add a trajectory signal so models must determine not only where the system is, but where it is moving inside state space.
This benchmark therefore tests whether models can read trajectory inside… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.2.clinical-five-node-mof-cascade-boundary-v0.2
What this repo does
This dataset evaluates whether machine learning models can detect multi-organ failure cascade boundary transitions using both system state and system trajectory.
Earlier Clarus datasets in the v0.1 series tested whether models could classify system state alone.
Clarus v0.2 datasets add a trajectory signal so models must determine not only where the system is, but where it is moving inside state space.
This benchmark therefore tests whether models can read… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-mof-cascade-boundary-v0.2.clinical-five-node-respiratory-cascade-boundary-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling respiratory cascade transition with a five-node clinical structure.
Earlier Clarus datasets focused on state detection and boundary discovery.
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-linked deterioration states using:
• a five-node clinical cascade•… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-respiratory-cascade-boundary-v0.5.clinical-five-node-sepsis-cascade-boundary-v0.1
What this repo does
This dataset models the transition from controlled infection to septic cascade using a five-variable interaction structure.
The goal is to detect when a patient is drifting toward septic boundary failure before overt systemic collapse is fully established.
Sepsis often unfolds as a cascade: infection pressure rises, physiological reserve narrows, intervention delays reduce reversibility, organ interactions amplify instability, and microcirculatory dysfunction… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-sepsis-cascade-boundary-v0.1.clinical-five-node-mof-cascade-boundary-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling multiorgan failure cascade transition with a five-node clinical structure.
Earlier Clarus datasets focused on state detection and boundary discovery.
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 five-node clinical cascade•… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-mof-cascade-boundary-v0.5.node-commitsclinical-five-node-shock-cascade-boundary-v0.4
What this repo does
This dataset models shock cascade instability boundaries using a five-node physiological interaction system.
Clarus v0.4 datasets focus on detecting whether systems lie on the edge of cascade instability.
The objective is to determine when the shock system is so close to collapse that even small perturbations trigger systemic failure.
Core cascade nodes
hemodynamic_stressvascular_bufferintervention_delayorgan_couplingmetabolic_stress
These nodes… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.4.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.