datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bls-cpi-monthlyai-5node-key-buf-lag-cpl-secret-leak-v0.1
What this repo does
This dataset models secret leakage cascades in AI agent operations. It detects when secret exposure risk rises, protective buffers weaken, governance lag delays revoke and purge actions, and tight coupling through shared logs, tickets, and tool chains crosses the five-node cascade threshold into an unrecoverable secret leakage cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth node… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-key-buf-lag-cpl-secret-leak-v0.1.syntaxgym_sentenceswinogrande-eval-for-llama.cppWinogrande evaluation dataset for llama.cpp
vett-cpsc-recalls
Vett CPSC Product Recall Corpus
Normalized U.S. Consumer Product Safety Commission (CPSC) product recall records,
refreshed periodically from CPSC's live recall feed.
Source: U.S. Consumer Product Safety Commission (cpsc.gov). As a work of the U.S.
federal government, the underlying data is in the public domain under 17 U.S.C. Section 105,
not subject to copyright. This normalization/compilation is provided by
Vett (Wimberly Solutions LLC).
Fields: recall_id, source… See the full description on the dataset page: https://huggingface.co/datasets/Wim-Sol/vett-cpsc-recalls.apple-speechanalyzer-vs-whisper-cpp-mac
Apple SpeechAnalyzer vs whisper.cpp on Mac
Four complete speech-recognition benchmark runs over the same deterministic
40-speaker LibriSpeech test-clean snapshot:
Engine
Model path
WER
CER
Repeated median post-speech latency
Repeated p95
Apple SpeechAnalyzer
progressiveTranscription on macOS 26.5
1.98%
1.02%
125–132 ms
194–201 ms
whisper.cpp server
1.8.4 · ggml-small.en
4.28%
1.79%
122–125 ms
152–161 ms
Every run completed 40/40 clips with no failures. Accuracy… See the full description on the dataset page: https://huggingface.co/datasets/researchaudio/apple-speechanalyzer-vs-whisper-cpp-mac.cptac-3clinical-5node-anticoag-buf-lag-cpl-anticoag-mismanagement-bleed-v0.1
What this repo does
This dataset models an anticoagulation mismanagement cascade by measuring when anticoagulation pressure rises, hemostatic buffer capacity erodes, monitoring and decision lags increase, and cross-team coupling tightens across prescribers and care settings, crossing a phase transition into an unrecoverable bleeding cascade state.
Core quad
anticoagbuflagcpl
Prediction target
label_cascade_state
Row structure
One row represents an… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-anticoag-buf-lag-cpl-anticoag-mismanagement-bleed-v0.1.ai-5node-mem-buf-lag-cpl-memory-poisoning-v0.1
What this repo does
This dataset models memory poisoning in AI agent systems. It detects when memory pressure, weakened validation buffer, governance lag in review, and tight coupling through shared state cross the five-node cascade threshold into an unrecoverable memory poisoning 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 systemic… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-mem-buf-lag-cpl-memory-poisoning-v0.1.clinical-5node-sedation-buf-lag-cpl-procedural-sedation-resp-suppression-v0.1
What this repo does
This dataset models a procedural sedation respiratory suppression cascade by measuring when sedation pressure rises, respiratory buffer capacity erodes, monitoring and escalation lags increase, and cross-team coupling tightens across procedure settings, crossing a phase transition into an unrecoverable respiratory suppression cascade state.
Core quad
sedationbuflagcpl
Prediction target
label_cascade_state
Row structure
One row… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-sedation-buf-lag-cpl-procedural-sedation-resp-suppression-v0.1.moviesclinical-5node-bleed-buf-lag-cpl-post-op-hemorrhage-v0.1
What this repo does
This dataset models a post-operative hemorrhage cascade by measuring when bleeding pressure rises, physiologic buffer capacity erodes, clinical response lags, and ward-to-theatre coupling tightens, crossing a phase transition into an unrecoverable cascade state.
Core quad
bleedbuflagcpl
Prediction target
label_cascade_state
Row structure
One row represents a post-operative deterioration scenario with numeric signals for bleeding… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-bleed-buf-lag-cpl-post-op-hemorrhage-v0.1.clinical-5node-ddi-buf-lag-cpl-drug-interaction-toxicity-v0.1
What this repo does
This dataset models a drug interaction toxicity cascade by measuring when drug interaction pressure rises, physiologic buffer capacity erodes, clinical response lags, and care-team coupling tightens across prescribers, crossing a phase transition into an unrecoverable toxicity cascade state.
Core quad
ddibuflagcpl
Prediction target
label_cascade_state
Row structure
One row represents a clinical medication-risk scenario with… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-ddi-buf-lag-cpl-drug-interaction-toxicity-v0.1.state-of-cpa-firm-websites-2026
The State of CPA Firm Websites 2026: Structured-Data and AI-Legibility Dataset (n=556)
This dataset accompanies the study "The State of CPA Firm Websites 2026" by Axion Deep Digital. It measures the structured-data legibility of United States accounting-firm websites: whether their sites make named experts, identity, and answer-shaped content machine-readable for search engines and AI answer engines.
Sample: 556 unique accounting-firm domains sampled from OpenStreetMap… See the full description on the dataset page: https://huggingface.co/datasets/joshuarg007/state-of-cpa-firm-websites-2026.ai-5node-inj-buf-lag-cpl-prompt-injection-v0.1
What this repo does
This dataset models prompt injection cascades in tool-using AI systems. It detects when injection pressure rises, safety buffers weaken due to incomplete filtering and trust-boundary enforcement, governance lag delays triage and revocation, and tight coupling through shared routers and scaffolds propagates injection success across products, crossing the five-node cascade threshold into an unrecoverable prompt injection cascade.
This dataset models a five-node… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-inj-buf-lag-cpl-prompt-injection-v0.1.infrastructure-temporal-5node-pressure-buf-lag-cpl-grid-stress-blackout-v0.1
What this repo does
This dataset tests whether a model can detect a power grid stress cascade forming over time and predict whether blackout lock-in occurs by the final step.
Core quad
pressurebufferlagcoupling
Prediction target
label_cascade_state
Row structure
One row represents a short time window (t0–t3) of grid stress conditions including demand pressure, reserve buffer margin, response lag, and interconnect coupling tightness. The label marks… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/infrastructure-temporal-5node-pressure-buf-lag-cpl-grid-stress-blackout-v0.1.clinical-temporal-5node-pressure-buf-lag-cpl-safety-escalation-reg-hold-v0.1
What this repo does
This dataset tests whether a model can detect a safety signal escalation forming over time and predict whether the program crosses into regulatory hold lock-in by the final step.
Core quad
pressurebufferlagcoupling
Prediction target
label_cascade_state
Row structure
One row represents a short temporal window (t0–t3) across program months. It includes time-series values for safety pressure, pharmacovigilance buffer, governance… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-temporal-5node-pressure-buf-lag-cpl-safety-escalation-reg-hold-v0.1.llama.cpp-0002ai-5node-perm-buf-lag-cpl-permission-sprawl-v0.1
What this repo does
This dataset models permission sprawl cascades in tool-using AI systems. It detects when permission pressure rises, safety buffers weaken due to broad default roles, governance lag delays audits and revocation, and tight coupling through shared role templates propagates over-permissioning across products, crossing the five-node cascade threshold into an unrecoverable permission sprawl cascade.
This dataset models a five-node cascade: four interacting instability… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-perm-buf-lag-cpl-permission-sprawl-v0.1.ai-5node-infer-buf-lag-cpl-hallucination-propagation-v0.1
What this repo does
This dataset models hallucination propagation in agent ecosystems. It detects when inference pressure, weakened verification buffer, governance lag in review, and tight coupling through shared knowledge and automation cross the five-node cascade threshold into an unrecoverable hallucination propagation cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth node represents the nonlinear… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-infer-buf-lag-cpl-hallucination-propagation-v0.1.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-5node-proced-buf-lag-cpl-procedure-level-cascades-phase2-v0.1
What this repo does
This dataset is a Phase 2 procedure-level cascade index that models how procedure-linked pressure rises, physiologic buffer capacity erodes, response governance lags, and care-pathway coupling tightens across peri-operative and procedure settings, crossing a phase transition into an unrecoverable cascade state.
Core quad
procedbuflagcpl
Prediction target
label_cascade_state
Row structure
One row represents a procedure-level… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-proced-buf-lag-cpl-procedure-level-cascades-phase2-v0.1.ai-temporal-5node-pressure-buf-lag-cpl-alignment-goal-drift-v0.1
What this repo does
This dataset tests whether a model can detect an alignment cascade forming over time by reading a short ordered window of signals and predicting whether goal drift lock-in occurs by the final step.
Core quad
pressurebufferlagcoupling
Prediction target
label_cascade_state
Row structure
One row represents one short time window (t0 to t3) for an AI system under alignment pressure. It includes time-series values for optimization… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-temporal-5node-pressure-buf-lag-cpl-alignment-goal-drift-v0.1.intel-cpu-datasetai-5node-rt-buf-lag-cpl-realtime-latency-v0.1
What this repo does
This dataset models real-time latency cascades in AI systems. It detects when real-time pressure rises, buffers weaken due to missing load shedding and retry control, governance lag delays triage, and tight coupling through shared real-time dependency paths propagates timeouts across products, crossing the five-node cascade threshold into an unrecoverable latency cascade.
This dataset models a five-node cascade: four interacting instability drivers and one… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-rt-buf-lag-cpl-realtime-latency-v0.1.scaphandre_cpu_usage
Scaphandre CPU Usage Dataset
Dataset Description
This dataset contains CPU usage monitoring data collected using Scaphandre for the ICOS Federated Learning infrastructure.
Overview
Source: Scaphandre energy monitoring tool
Collection Method: Live system monitoring (continuous fetching)
Purpose: Training data for ICOS FL
Update Frequency: Real-time collection with 3s intervals
Data Schema
Column
Type
Description
timestamp
float
Unix… See the full description on the dataset page: https://huggingface.co/datasets/ICOS-AI/scaphandre_cpu_usage.ai-5node-align-buf-lag-cpl-reward-hacking-v0.1
What this repo does
This dataset models reward hacking cascades where AI systems learn to satisfy metrics while violating intent. It detects when alignment pressure rises, buffers weaken due to missing audits and narrow evals, governance lag delays intervention, and tight coupling through shared KPIs propagates gaming behavior across products, crossing the five-node cascade threshold into an unrecoverable reward hacking cascade.
This dataset models a five-node cascade: four… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-align-buf-lag-cpl-reward-hacking-v0.1.clinical-5node-comp-buf-lag-cpl-surgical-site-compartment-syndrome-v0.1
What this repo does
This dataset models a surgical site compartment syndrome cascade by measuring when compartment pressure rises, perfusion buffer capacity erodes, recognition and escalation lags increase, and post-op pathway coupling tightens, crossing a phase transition into an unrecoverable ischemic cascade state.
Core quad
compbuflagcpl
Prediction target
label_cascade_state
Row structure
One row represents a post-operative limb risk scenario… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-comp-buf-lag-cpl-surgical-site-compartment-syndrome-v0.1.clinical-temporal-5node-pressure-buf-lag-cpl-program-lockin-v0.1
What this repo does
This dataset tests whether a model can detect a drug development program entering composite instability across recruitment, safety, manufacturing, and competitive pressure over time, and predict whether the program crosses into lock-in by the final step.
Core quad
pressurebufferlagcoupling
Prediction target
label_cascade_state
Row structure
One row represents a short temporal window (t0–t3) across program quarters. It summarizes… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-temporal-5node-pressure-buf-lag-cpl-program-lockin-v0.1.ai-5node-api-buf-lag-cpl-quota-spike-v0.1
What this repo does
This dataset models quota spike cascades caused by agent loops and retry storms. It detects when API load pressure rises, protective buffers weaken, governance lag delays containment, and tight coupling through shared quota pools and dependent tools crosses the five-node cascade threshold into an unrecoverable quota spike cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth node represents… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-api-buf-lag-cpl-quota-spike-v0.1.