datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
models-under-pressure
Models Under Pressure
This dataset accompanies the paper Detecting High-Stakes Interactions with Activation Probes, presented at the ICML 2025 Workshop on Actionable Interpretability, accepted to NeurIPS 2025.
Overview
Every sample is a user-facing LLM interaction labelled as high-stakes or low-stakes. The label reflects whether the conversation involves potentially consequential outcomes (medical advice, legal matters, financial decisions, etc.) vs. routine queries.
The… See the full description on the dataset page: https://huggingface.co/datasets/Arrrlex/models-under-pressure.record-with-pressure-pick-up-chocolateThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 80,
"total_frames": 55282,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:80"
},
"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/aHiroakiIshikawa/record-with-pressure-pick-up-chocolate.clinical-quad-data-cut-timing-database-lock-pressure-query-backlog-csr-narrative-drift-v0.1Clinical Quad Data Cut Timing Database Lock Pressure Query Backlog CSR Narrative Drift v0.1
Each row is a trial monthly snapshot.
Core quad
Data cut timingDatabase lock pressureQuery backlogCSR narrative drift
Target
label_regulatory_issue_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
This dataset identifies a measurable coupling pattern associated with systemic instability.
The sample… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-data-cut-timing-database-lock-pressure-query-backlog-csr-narrative-drift-v0.1.raised-blood-pressureby-sex-for-african-countries
Raised Blood Pressureby Sex for African Countries | Africa (World Health Organization)
Size category: n<1K - 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 help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/raised-blood-pressureby-sex-for-african-countries.asia-who-raised-blood-pressure-bp03
Africa — WHO GHO: Raised blood pressure (SBP>=140 OR DBP>=90) (crude estimate)
Indicator code: BP_03
HuggingFace slug: electricsheepafrica/asia-who-raised-blood-pressure-bp03
Source: WHO Global Health Observatory
License: CC BY 4.0 — WHO Open Data
Dataset Description
This dataset contains country-level observations for the WHO GHO indicator "Raised blood pressure (SBP>=140 OR DBP>=90) (crude estimate)" (BP_03) across Asian nations, spanning 1990–2019. It is part of… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-raised-blood-pressure-bp03.clinical-constraint-pressure-v0.1
What this dataset does
This dataset tests whether a model can estimate how close a patient is to a treatment boundary.
The task is not to predict diagnosis.
The task is to classify pressure on the patient system.
Core stability idea
A patient may be stable at the present moment while operating close to a boundary.
Constraint pressure increases when support needs rise and reserve capacity falls.
The model must classify whether pressure is low, medium, or high.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-constraint-pressure-v0.1.microfluidic-pressure-drop-benchmark
Microfluidic Straight-Tube Pressure-Drop Benchmark
This small, deterministic engineering dataset contains 420 straight-tube pressure-drop cases spanning tube internal diameter, length, volumetric flow rate, and dynamic viscosity. It is intended for equation verification, unit-conversion tests, engineering education, tabular regression experiments, and first-pass fluid-path screening.
Why this dataset exists
Small changes in tube internal diameter can dominate a… See the full description on the dataset page: https://huggingface.co/datasets/AlexHu2026/microfluidic-pressure-drop-benchmark.F1-aero-pressure-coherence-mapping-v0.1What this dataset tests
Whether a system can detectlocalized aero coherence lossfrom pressure sensor fields.
Focus
Platform coherencezone asymmetryvortex integritylocalized collapse zonesbalance shift risk
Required outputs
platform coherence score
zone pressure asymmetry index
vortex system integrity flags
localized collapse zones
balance shift risk score
All scores0 to 1
Higher coherencemeans unified platform.
Higher asymmetry and balance riskmean localized collapse is likely.
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.europe-who-mean-systolic-blood-pressure-bp05
Mean systolic blood pressure (crude estimate) | Europe (WHO GHO)
🇪🇺 2,340 observations · 39 Europe countries · 1980–2009 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 2,340 observations of Mean systolic blood pressure (crude estimate) data across 39 Europe countries, spanning 1980–2009, covering 1 distinct indicators.
About the source
Source: WHO Global Health Observatory
Publisher: World Health Organization
License:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-mean-systolic-blood-pressure-bp05.premier-league-linkage-stress-degradation-under-pressure-v0.1What this dataset tests
Whether an intelligence system can estimatehow functional linkages degrade under pressure and fatigueand identify pressure-specific failure points.
Required outputs
stressed linkage loss percent
pressure-specific failure points
fatigue sensitivity index
press exploitability map
time to linkage failure
dominant stressor signature
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.legal-oral-argument-coherence-pressure-v0.1What this dataset is
You get
a legal issue
a judge question
a counsel answer
context
You decide
Does the answer hold structural coherence under pressure
Task
Answer
coherent
or
incoherent
Only output one word.
What it tests
argument integrity under judicial pressure
concession detection
contradiction detection
structural collapse moments
Why this matters
Most legal analytics looks at outcomes.
This dataset looks at the live failure moment.
The point where an argument breaks in court.
That is… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/legal-oral-argument-coherence-pressure-v0.1.legal-statutory-interpretation-drift-pressure-v0.1What this dataset is
You receive
statutory text
claimed intent
interpretation move
context signals
legislative history
You decide
Does interpretation stay inside text and intent
Answer
coherent
or
incoherent
Why this matters
When text and intent diverge
courts split
appeals rise
amendment pressure builds
This dataset measures statutory coherence decay before doctrinal fracture.
Do full repo ClarusC64/legal-statutory-age-obsolesce
clinical-constraint-pressure-v0.2
What this dataset does
This dataset tests whether a model can estimate clinical constraint pressure.
The task is not to identify current illness severity.
The task is to classify how much pressure the patient system is under relative to available reserve.
What changed in v0.2
v0.2 adds counterfactual and adversarial cases.
Some rows have the same oxygen requirement or vasopressor requirement but different reserve states.
Some high-looking cases have preserved… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-constraint-pressure-v0.2.clinical-quad-pvalue-margin-secondary-endpoints-language-publication-pressure-spin-event-v0.1What this repo does
This dataset models statistical spin formation in clinical trial narratives. It predicts when the interaction between weak p-value margin, many secondary endpoints, high language intensity, and publication pressure indicates a high probability of a spin event where the narrative frames a weak result as strong.
Core quad
pvalue_margin_index
secondary_endpoint_count
language_intensity_index
publication_pressure_index
Prediction target
label_spin_event
Row structure
Each row… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-pvalue-margin-secondary-endpoints-language-publication-pressure-spin-event-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.f1-quad-pit-duration-crew-fatigue-race-pressure-weather-variability-pit-error-v0.1What this repo does
This dataset models pit stop failure risk in Formula One. It predicts when the interaction between stop duration strain, cumulative crew fatigue, race pressure intensity, and weather variability produces elevated probability of pit execution error.
Core quad
pit_duration_s
crew_fatigue_index
race_pressure_index
weather_variability_index
Prediction target
label_pit_error
Binary forward label predicting unsafe release, delayed wheel fit, or procedural error during the pit… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-quad-pit-duration-crew-fatigue-race-pressure-weather-variability-pit-error-v0.1.clinical-quad-shipment-delay-visit-window-pressure-staff-load-backup-supply-deviation-v0.1What this repo does
This dataset models protocol deviation risk driven by supply chain stress in clinical trials. It predicts when the interaction between shipment delays, visit window pressure, staff load, and limited backup supply increases the probability of protocol deviations and workaround behavior.
Core quad
shipment_delay_days
visit_window_pressure_index
staff_load_index
backup_supply_availability_index
Prediction target
label_protocol_deviation
Row structure
Each row represents a site… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-shipment-delay-visit-window-pressure-staff-load-backup-supply-deviation-v0.1.africa-who-mean-systolic-blood-pressure-bp05
Africa — WHO GHO: Mean systolic blood pressure (crude estimate) | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: parquet - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-who-mean-systolic-blood-pressure-bp05.clinical-quad-dose-escalation-toxicity-signal-expansion-pressure-mtd-misestimation-v0.1Clinical Quad Dose Escalation Toxicity Expansion Pressure MTD Misestimation v0.1
Each row is a cohort week snapshot in dose escalation.
Core quad
Dose escalation speedEarly toxicity signalCohort expansion pressureMTD misestimation risk
Target
label_mtd_misestimation_risk_next_30d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
clinical-temporal-5node-pressure-buf-lag-cpl-icu-deterioration-shock-v0.1
What this repo does
This dataset tests whether a model can detect an ICU deterioration cascade forming over time by reading a short ordered window of signals and predicting whether shock 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 ICU patient under deterioration pressure. It includes time-series values for… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-temporal-5node-pressure-buf-lag-cpl-icu-deterioration-shock-v0.1.clinical-quad-pressure-buffer-lag-coupling-hemodynamic-shock-v0.1
What this repo does
This dataset models the transition from pressured but recoverable circulation to hemodynamic shock using a four-variable coupling structure.
The goal is to detect when a patient is drifting toward circulatory collapse before overt shock is fully established.
Hemodynamic shock often unfolds as a cascade: pressure stability degrades, physiological reserve narrows, treatment delays reduce reversibility, and organ systems begin to amplify one another’s failure.
The… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-pressure-buffer-lag-coupling-hemodynamic-shock-v0.1.africa-who-mean-systolic-blood-pressure-bp06
Africa — WHO GHO: Mean systolic blood pressure (age-standardized estimate) | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: parquet - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-who-mean-systolic-blood-pressure-bp06.asia-who-mean-systolic-blood-pressure-bp06
Africa — WHO GHO: Mean systolic blood pressure (age-standardized estimate)
Indicator code: BP_06
HuggingFace slug: electricsheepafrica/asia-who-mean-systolic-blood-pressure-bp06
Source: WHO Global Health Observatory
License: CC BY 4.0 — WHO Open Data
Dataset Description
This dataset contains country-level observations for the WHO GHO indicator "Mean systolic blood pressure (age-standardized estimate)" (BP_06) across Asian nations, spanning 1975–2015. It is part of… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-mean-systolic-blood-pressure-bp06.asia-owid-women-high-blood-pressure
Women High Blood Pressure | Asia (Our World in Data)
🌏 1,440 observations · 48 Asia countries · 1990–2019 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 1,440 observations of Women High Blood Pressure data across 48 Asia countries, spanning 1990–2019.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Women High Blood Pressure
Geographic coverage
48 Asia countries… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-women-high-blood-pressure.africa-mauritius-mean-sea-level-atmospheric-pressure-at-plaisance-aeronauti-6a64f91c
Mean Sea Level Atmospheric Pressure At Plaisance Aeronauti | Africa (MDPA)
30 rows - 1 Africa country/area - 2011-2020 - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 30 rows from MDPA, covering Mean Sea Level Atmospheric Pressure At Plaisance Aeronauti. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-mean-sea-level-atmospheric-pressure-at-plaisance-aeronauti-6a64f91c.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.africa-who-raised-blood-pressure-bp03
Africa — WHO GHO: Raised blood pressure (SBP>=140 OR DBP>=90) (crude estimate) | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: parquet - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-who-raised-blood-pressure-bp03.africa-who-raised-blood-pressure-bp04
Africa — WHO GHO: Raised blood pressure (SBP>=140 OR DBP>=90) (age-standardized estimate) | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: parquet - 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-who-raised-blood-pressure-bp04.