datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
surfmatch-dataset
SurfMatch: Synthetic Surfer & Surfboard Dataset
Overview
This dataset supports SurfMatch, a text-based surfboard recommendation app: given a surfer's physique, experience, riding style, and goals, recommend the surfboards that genuinely fit them - including surfers who want to change styles and aren't sure what equipment to change to.
Main Question: Can a surfer's physical stats, experience level, and stated goals be used to reliably identify which board style… See the full description on the dataset page: https://huggingface.co/datasets/Yoad22/surfmatch-dataset.surface-audit
TruthfulQA-476 — a surface-form-cleaned binary-choice TruthfulQA
TruthfulQA-476 is the recommended drop-in replacement for the binary-choice TruthfulQA
evaluation set. It keeps 476 of the 790 original question pairs, in the original schema, chosen so
that a classifier restricted to six surface features of the answer text (negation, hedging, length,
token statistics) can no longer separate correct from incorrect answers above chance, while the
ranking of models on the subset… See the full description on the dataset page: https://huggingface.co/datasets/iclr2027-surface-audit/surface-audit.can-it-ford-speed-surface
Can It Ford: a (vehicle speed x flow velocity) load surface
Hydrodynamic load on a passenger-car hull in a flooded roadway, measured as a
function of two speeds kept as separate axes: the vehicle's speed over the
ground, and the flow speed across the roadway.
Status: PROVISIONAL, and deliberately not frozen
This is a snapshot of an ensemble that is not finished. More seeds and at least
one finer grid were planned when this card was written, and this snapshot does… See the full description on the dataset page: https://huggingface.co/datasets/josiecerrell/can-it-ford-speed-surface.control-surface-classification-v0.1
What this dataset does
This dataset tests whether a model can detect whether a system has usable control options.
The task is simple:
Given a scenario and a control-surface claim, predict whether the claim is supported.
Core stability idea
A control surface is the set of levers that can still change system trajectory.
A system has a usable control surface when actors can adjust pressure, buffer, timing, routing, access, scope, escalation, or recovery action.
A system… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/control-surface-classification-v0.1.Africa-Surface-area-sq-km
Africa Surface area sq km | Africa (World Bank)
Size category: n<1K - Formats: csv - Sector: agriculture_food - 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
Public datasets help analysts inspect structured evidence… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Africa-Surface-area-sq-km.m4-invariant-surface-alignment-v0.1What this dataset tests
Whether a known invariant is respectedAcross multiple modelsUnder the same prompt
Why this exists
Single-model benchmarks hide structure
This dataset mapsthe invariant surfaceacross the model manifold
Data format
Each row contains
one invariant
one prompt
multiple model outputs
Each output is checkedagainst the invariant definition
Labels
aligned
partially-aligned
misaligned
What is scored
correct alignment label
explicit reference to… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/m4-invariant-surface-alignment-v0.1.clinical-quad-trial-collapse-surface-v0.2Clinical Quad Trial Collapse Surface v0.2
What this dataset does
It tests whether a model can classify when a trial moves onto a collapse surface.
You get four coupled signals.
enrollment_stability
protocol_stress
data_integrity
safety_signal
You return a label.
0 coherent
1 tradeoff
2 collapse
How to read the labels
0 coherent
stable enrollment
low to medium stress
clean data
no safety signal
1 tradeoff
strain exists
credibility still holds
risk is rising
2… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-trial-collapse-surface-v0.2.humanoid-surface-wiping-dataset-v1Dataset for cleaning and wiping flat surfaces.
Description
Arm speed and applied pressure signals mapped to wiping behaviors.
Task Description
Helps humanoid robots clean surfaces efficiently by controlling wiping speed, force, and coverage.
chisinau-disctricts-population-surfaceDistrict,Population,Surface
Centru,94800,34
Buiucani,112100,134
Râșcani,139800,53
Ciocana,119100,148
ffr-center-failure-surface-routing-v0.1Goal
When a center driftsroute the safest operational response.
This dataset treats each siteas a failure surface.
Not a single bad scan.
Inputs
Rolling site window metrics:
image quality proxies
protocol signature
rolling performance (AUC, MAE)
calibration error shift
plausibility conflict rate
drift type and risk
Required outputs
failure_surface_type
subgroup_affected
intervention_route
recalibration_needed
protocol_reset_plan
escalation_priority
confidence_score
Failure surfaces… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-center-failure-surface-routing-v0.1.nano-syn-nanoparticle-surface-ligand-decoupling-v0.1Goal
Detect ligand decoupling.
This is the failure mode where:
Ligand metricsstop predictingfunctional stability and targeting.
A batch can look acceptableby ligand density alonewhile zeta potential, size, and bindingdrift into failure.
Inputs
ligand density
zeta potential
hydrodynamic diameter
aggregation rate
in vitro binding efficiency
stability window
Required outputs
ligand_coherence_score
decoupling_flag
decoupling_type
targeting_failure_probability
aggregation_risk… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/nano-syn-nanoparticle-surface-ligand-decoupling-v0.1.humanoid-visual-surface-labels-v8clinical-quad-trial-collapse-surface-v0.1
Clinical Quad Trial Collapse Surface v0.1
Overview
This dataset models structural instability in clinical trials using four coupled nodes:
Intervention
Patient subgroup
Trial endpoint
Sponsor pressure
Failure emerges not from one variable but from quad misalignment.
Task
Input: structured quad stateOutput: stability classification
Labels:
0 — Stable1 — Drift2 — Collapse
Why This Matters
Traditional evaluation isolates safety or efficacy.
This… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-trial-collapse-surface-v0.1.the-surface
