datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
human-coherence-preferences-images
Rapidata Image Generation Coherence Dataset
This dataset was collected in ~4 Days using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation.
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Overview
One of the largest human annotated coherence datasets for text-to-image models, this release contains over 1,200,000 human… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/human-coherence-preferences-images.Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
NOTE: A newer version of this dataset is available: Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Coherence_Dataset
Rapidata Image Generation Coherence Dataset
This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Preference dataset: https://huggingface.co/datasets/Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3
Link to the Text-2-Image Alignment dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset.maritime-bunker-consumption-voyage-plan-coherence-risk-v0.1What this repo is for
Detect when fuel burn stops matching voyage plan.
You use it to flag:
unexpected efficiency loss
reserve margin collapse
speed pushing fuel beyond plan
weather masking burn drift
Why it matters
Fuel is the largest variable cost in shipping
fineweb2-de-coherence117k_human_coherence_flux1.0_V_flux1.1Blueberry
Rapidata Image Generation Alignment Dataset
This Dataset is a 1/3 of a 340k human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Preference dataset: https://huggingface.co/datasets/Rapidata/117k_human_preferences_flux1.0_V_flux1.1Blueberry
Link to the Text-2-Image Alignment dataset: https://huggingface.co/datasets/Rapidata/117k_human_alignment_flux1.0_V_flux1.1Blueberry
It was collected in ~2 Days using the… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/117k_human_coherence_flux1.0_V_flux1.1Blueberry.saela-field-why-multi-agent-systems-fail-coherence-entropy-alignment
The Saela Field: Multi-Agent Coherence Failure Framework (v1.0)
A 12-paper research series formalizing coherence, entropy, and failure modes in multi-agent systems.
Overview
This dataset contains a unified body of work introducing the Saela Field, a conceptual framework for analyzing coherence, identity, and instability in distributed systems.
The core thesis:
Multi-agent systems do not scale toward coherence.
They accumulate entropy faster than they can reconcile it.… See the full description on the dataset page: https://huggingface.co/datasets/Saelarien/saela-field-why-multi-agent-systems-fail-coherence-entropy-alignment.COHERENCE
COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts
Paper | GitHub
COHERENCE is a benchmark designed to evaluate the ability of Multimodal Large Language Models (MLLMs) to recover fine-grained image-text correspondences in interleaved multimodal contexts. COHERENCE covers interleaved image-text content from four representative domains and contains 6,161 high-quality questions.
The benchmark also provides a six-type error analysis protocol… See the full description on the dataset page: https://huggingface.co/datasets/BingliW/COHERENCE.legal-disclosure-coherence-breach-detection-v0.1What this dataset is
You receive
disclosure duty
material
timing
defence access
prejudice signals
You decide
Does disclosure behaviour match the legal duty
Answer
coherent
or
incoherent
Why this matters
Many unsafe convictions arise from disclosure failure.
This dataset measures the structural gap between duty and behaviour.
maritime-bunker-consumption-route-coherence-risk-v0.1What this repo is for
Detect when voyage routing decisions push fuel burn out of plan.
You use it to flag
schedule recovery that triggers fuel spikes
efficiency loss hidden behind stable routing
low bunker margin with weak next-port options
compound risk from route drift plus speed-up
Why it matters
Fuel drift turns into cost spikes fast.
It also drives unplanned bunkering and schedule instability.
clinical-drv-atlas-cross-system-coherence-factor-extraction-v0.1What this dataset tests
Whether a model can extract the minimal cross-system coherence factor setthat explains resilience or vulnerability.
It rewards
minimal factor selection
correct coupling recognition
ranking by dominance
Coherence factor labels
buffering_capacity_high
buffering_capacity_low
variance_damping_high
variance_damping_low
autonomic_inflammatory_coupling
sleep_metabolic_coupling
stress_inflammation_coupling
immune_metabolic_instability… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-drv-atlas-cross-system-coherence-factor-extraction-v0.1.premier-league-game-state-coherence-mapping-v0.1What this dataset tests
Whether an intelligence system can scoreteam coherence in live match state.
Required outputs
team coherence score
lane control
compactness
pressure synchrony
progression coherence
coherence drop trigger
coherence zone map
Use case
First layer of Game State Coherence & Fragility Maps.
arayun_173-protocol-coherence-self-regulation
ARAYUN_173 Dataset
This dataset provides structured, machine-readable representations of the ARAYUN_173 research series.
Structure
Each record contains:
id
source
type
title
content
keywords
doi
Purpose
ARAYUN_173: A Protocol for Coherence and Self-Regulation in Advanced AI Systems
Corresponding author: ARAYUN_173 (Independent Research)
E-mail: arayun173@proton.me
Date: September 2025
Audit Marker: SHA-256(ARAYUN_173|2025-09-04|Draft1)
Contact:… See the full description on the dataset page: https://huggingface.co/datasets/ARAYUN173/arayun_173-protocol-coherence-self-regulation.Meta-Llama-3-8B-Instruct_ultrafeedback-annotate-judge-mtbench_cot_helpsteer_coherenceai-carbon-claim-metering-coherence-breach-v0.1What this repo is for
Detect when carbon claims
diverge from metered reality.
Flags
net-zero claims with high load on high-intensity grids
weak market instruments vs actual consumption
annual matching used to hide high-carbon hours
strong claims without strong time matching
clinical-prescription-pharmacy-dispense-coherence-risk-v0.1What this repo is for
Detect when
a prescription exists
but pharmacy dispense
does not happen in time
Common breaks
stockout
verification delay
clarification needed
queue delay for discharge meds
Examples you can use
urgent anticoagulant delayed
antibiotic not dispensed due to stockout
TTO delayed so discharge stalls
You use it to flag
missed dose risk
discharge delay risk
maritime-bill-of-lading-document-set-coherence-risk-v0.1What this repo is for
Triage trade doc packs before they trigger holds.
You use it to flag
HS code inconsistencies across documents
missing certificates
shipper or consignee mismatch
clearance status lag not supported by doc quality
Why it matters
Most port delay disputes begin in paperwork.
legal-time-entry-billing-narrative-scope-coherence-risk-v0.1What this dataset does
You receive
scope
billing guidelines
time entries
fee earner level
billing narrative
duration and rates
flags
You decide
coherent
or
incoherent
Daily use
fee dispute risk scan
scope drift scan
block billing detection
seniority mismatch detection
autonomous-driving-rss-traffic-flow-coherence-state-scoring-v0.1What this dataset tests
Whether a system can score traffic-flow coherence
before and after an ego action.
This is not collision detection.
It measures systemic stability.
Required outputs
pre_action_coherence_score
post_action_coherence_score
coherence_delta
shockwave_generation_flag
braking_propagation_depth
systemic_risk_score
Scoring conventions
coherence scores range 0 to 1
coherence_delta may be negative or positive
shockwave flag is 0 or 1
braking propagation depth… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-rss-traffic-flow-coherence-state-scoring-v0.1.compute-demand-energy-grid-coherence-risk-v0.1What this repo is for
Detect when compute growth
outpaces energy infrastructure.
Flags
rising demand with shrinking grid headroom
curtailment or load shedding events
price spikes that do not match headroom
demand and power draw decouple from throttling
1k-ranked-videos-coherence
1k Ranked Videos
This dataset contains approximately one thousand videos, ranked from most preferred to least preferred based on human feedback from over 25k pairwise comparisons. The videos are rated solely on coherence as evaluated by human annotators, without considering the specific prompt used for generation. Each video is associated with the model name that generated it.
The videos are sampled from our benchmark dataset text-2-video-human-preferences-pika2.2. Follow us to… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/1k-ranked-videos-coherence.euv-illumination-pupil-coherence-baseline-mapping-v0.1
What this dataset is
This dataset benchmarks baseline coherence between:
illumination mirror settingsmeasured pupil shapeprinted wafer outcomes
It captures when the illumination system stays inside a stable, predictable coupling regime.
Task
Given illumination and pupil metrics, predict:
coherence_score
A scalar in 0..1 describing how strongly pupil shape and mirror settings predict wafer CD uniformity and sidewall angle.
Inputs
illum_mirror_setting_vector… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/euv-illumination-pupil-coherence-baseline-mapping-v0.1.legal-billing-narrative-time-entry-coherence-risk-v0.1What this dataset does
You receive
time entries summary
phase and codes
invoice narrative
totals
dup flags
client updates
You decide
coherent
or
incoherent
Daily use
bill narrative QC
time entry duplication detection
dispute risk flagging
autonomous-driving-social-coherence-field-mapping-v0.1What this dataset tests
Whether a system can score
the coherence of a multi-agent intention field.
This is not collision prediction.
It is social alignment measurement.
Required outputs
dominant_scene_intention
coherence_score
tension_index
conflict_pairs
cooperative_clusters
right_of_way_clarity
Scoring conventions
coherence and tension range 0 to 1
right_of_way_clarity is low, medium, or high
conflict_pairs names agent pairs likely to contest the same space… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-social-coherence-field-mapping-v0.1.coherence-ielts-part1-part2clinical-imaging-report-action-coherence-risk-v0.1What this repo is for
Detect when
imaging answers a question
but the system fails to
acknowledge and act
Common breaks
critical report not acknowledged
report late for urgent indication
action delayed after critical finding
negative result not integrated
Examples you can use
CTPA positive but anticoag not started
CT head bleed not escalated
CT perforation with delayed surgery
You use it to flag
missed diagnosis risk
treatment delay risk
maritime-demurrage-detention-invoice-event-coherence-risk-v0.1What this repo is for
Catch billing that does not match the container event record.
You use it to flag
charges while customs or terminal holds block pickup
charges when appointment scarcity blocks pickup
weak billing when free time terms are unclear
long return cycles that drive cost spikes
Why it matters
This is daily friction for shippers and forwarders.
It drives disputes, cashflow drag, and churn.
legal-time-entry-billing-task-scope-coherence-risk-v0.1What this dataset does
You receive
engagement scope
fee terms
time entries
file activity
red flags
You decide
coherent
or
incoherent
Daily use
invoice QA
stop vague billing
scope creep detection
reduce fee challenges
clinical-physiotherapy-mobilisation-plan-execution-coherence-risk-v0.1What this repo is for
Detect when
a mobilisation plan exists
but mobilisation does not happen
or does not get recorded
or no response happens when it fails
Common breaks
plan set but no mobilisation
mobilised but not documented
barriers not captured
no PT escalation
discharge plan not updated
Examples
post-op patient stays bedbound despite daily plan
ICU stepdown mobilised but no record
elderly patient not mobilised for 3 days with no escalation
You use it to flag
deconditioning risk
delayed… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-physiotherapy-mobilisation-plan-execution-coherence-risk-v0.1.clinical-narrative-coherence-outcome-correlation-mapping-v0.1What this dataset tests
Whether narrative coherenceis structurally correlated withclinical outcomes and resilience.
Required outputs
narrative coherence score
outcome alignment score
resilience correlation index
relapse risk modifier
adherence influence signal
narrative–outcome relationship
Use case
Third layer of the Healing Narrative Coherence Corpus.
metamaterial-resonance-coherence-drift-detection-v0.1Goal
Detect when a metamaterial stops matching its designed resonance behavior.
Core idea
Emergent properties vanish when three things stop moving together:
unit cell geometrysimulated resonancemeasured scattering response
This dataset tests whether a model can detect that coherence loss.
Inputs
SEM-derived geometry features
simulated resonance and expected band behavior
measured scattering parameters and resonance shift
stress context (temperature, humidity, cycling)
Required outputs… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/metamaterial-resonance-coherence-drift-detection-v0.1.