datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
puslnve-windpower-data
Dataset: NVE Wind Power Generation Data
This is a restructured dataset of NVE open wind power generation data.
It consists of three csv files:
nve-windpower-metadata.csv: It contains meta data for the wind parks.
nve-windpower-metadata-extended.csv: It contains meta data for every wind turbine of the wind parks.
nve-windpower-timeseries.csv: It contains the power generation time series for every wind park with hourly resolution.
🌍 Click here to view the interactive map
wooden_window_factory_01_enriched_v2
Real industrial data, AI-ready for Physical AI
ORION WWF1 – Certified Sample Pack v2.0 (Enriched)
Version
Status
Sector
Pipeline
v2.0-Enriched
🟢 Level 3 Certified
Industrial-Manufacturing
Orion Unified V5.2
🌟 The Evolution: Beyond Anonymization
The ORION WWF1 v2.0 Enriched pack represents the professional evolution of our baseline industrial dataset. While previous versions focused on privacy-first anonymization, v2.0 transforms raw video… See the full description on the dataset page: https://huggingface.co/datasets/Orion-The-Lab/wooden_window_factory_01_enriched_v2.vestasv52-scada-windturbine-granadaDesigned and generated by https://simulatexp.dev
Vestas V52 Wind Turbine SCADA Synthetic Dataset - Granada Peri-Urban Installation
This synthetic dataset contains comprehensive SCADA (Supervisory Control and Data Acquisition) data simulating a Vestas V52 wind turbine operating in a peri-urban environment in Granada, Spain. The dataset captures 40,000 one-minute aggregated sensor readings across 24 parameters, simulating realistic operational conditions and fault scenarios for… See the full description on the dataset page: https://huggingface.co/datasets/vossmoos/vestasv52-scada-windturbine-granada.wind-turbine-scada-data-for-early-fault-detection
Wind Turbine SCADA Data For Early Fault Detection
About the Dataset
This dataset, originally published as "CARE to Compare: Wind Turbine Anomaly Detection Dataset," contains real-world SCADA data from wind turbines. It is designed for testing and developing anomaly detection algorithms for wind energy systems.
Dataset Overview
Duration: 89 years of cumulative operating data
Turbines: 36 wind turbines across 3 wind farms
Datasets: 95 total datasets
44 contain… See the full description on the dataset page: https://huggingface.co/datasets/kevykibbz/wind-turbine-scada-data-for-early-fault-detection.wind_solar_datasetcontinual-wind-energy-anomaly-detectionmodel-context-windows
LLM Context Windows — 206 models
Context-window sizes for 206 ready models served by the Qubax AI API (OpenAI-compatible), exported from the public /v1/models endpoint.
Columns
Column
Description
model_id
API model identifier
model_name
Display name
context_window_tokens
Max context window (tokens)
max_output_tokens
Max output (tokens, where published)
source
Provenance
Notes
License: CC0 1.0 (public domain) — use freely in… See the full description on the dataset page: https://huggingface.co/datasets/QubaxAI/model-context-windows.wooden_window_factory_01_enriched_v1.5
Real industrial data, AI-ready for Physical AI
ORION WWF1 – Enriched Sample Pack v1.5 (Physical AI Edition)
🌟 The Evolution: Beyond Anonymization
The ORION WWF1 v1.5 Enriched pack is the professional evolution of our baseline industrial dataset. While version 1.0 focused on privacy-first anonymization, v1.5 transforms raw video into actionable intelligence.
This pack includes 10 representative clips from a high-intensity wood-processing facility, now… See the full description on the dataset page: https://huggingface.co/datasets/Orion-The-Lab/wooden_window_factory_01_enriched_v1.5.epl-inplay-quad-pre-goal-collapse-window-v0.1EPL In-Play Quad Pre-Goal Collapse Window v0.1
What this dataset is
You test whether a model can detect an in-play collapse window before a goal.
Each row represents a live match-state snapshot.
The label asks
Will a goal occur in the next 120 seconds
Core quad coupling
Press intensityDefensive line heightTurnover zonexG per possession
Why this matters
Most football models explain goals after the fact.
This dataset tests pre-goal instability detection.
Intended use
You feed a row.
You output a… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/epl-inplay-quad-pre-goal-collapse-window-v0.1.windows-event-codes-qandaI used my notebook here to generate CSV files for Windows event codes:
https://github.com/whit3rabbit/Windows-Event-Codes-CSV
CSV is here: https://github.com/whit3rabbit/Windows-Event-Codes-CSV/blob/main/updated_detailed_events.csv
Converted each line to markdown and used it to generate Questions and Answers. These have not been vetted for accuracy so use with caution.
GMRID
GMRID v3: Global Maritime and Supply-Chain Risk Intelligence Dataset
All authorship and attribution belong to the original creators. This is a mirror of the dataset from inflaton/llms-at-edge hosted on Hugging Face for accessibility. The original repository does not specify a license; please contact the authors for licensing terms before commercial use.
Overview
GMRID v3 is a supply-chain disruption news classification dataset. Each row is a real-world incident report… See the full description on the dataset page: https://huggingface.co/datasets/windchimeran/GMRID.aviation-runway-configuration-wind-coherence-risk-v0.1What this repo is for
Detect when runway configuration
no longer matches wind reality.
Flags
crosswind exceedance with no runway change
runway change without wind driver
go-around spikes tied to config delay
consistent-wind-35d802
consistent-wind-35d802
Synthetic products test data: 48 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/gwan76/consistent-wind-35d802.nve-windpower-data
Dataset: NVE Wind Power Generation Data
This is a restructured dataset of NVE open wind power generation data.
It consists of three csv files:
nve-windpower-metadata.csv: It contains meta data for the wind parks.
nve-windpower-metadata-extended.csv: It contains meta data for every wind turbine of the wind parks.
nve-windpower-timeseries.csv: It contains the power generation time series for every wind park with hourly resolution.
🌍 Click here to view the interactive map
plant-variety-database
Plant Variety Database
An open dataset that joins cultivar-level seed-catalog data with USDA hardiness zones and per-zone monthly planting calendars — 1,972 varieties × 13 zones × 12 months, fully sourced, CC BY 4.0.
The hero rows aren't the 1,972 varieties (USDA PLANTS already has ~98K species). They're the joins:
20,728 variety × zone planting-calendar entries (indoor sow / transplant / direct sow / harvest windows)
21,880 companion-plant pairings with relationship and reason
2… See the full description on the dataset page: https://huggingface.co/datasets/WindRiverGreens/plant-variety-database.stability-recovery-window-v0.1
What this dataset does
This dataset tests whether a model can detect whether recovery is still possible before failure becomes locked in.
The task is simple:
Given a scenario and a recovery-window claim, predict whether the claim is supported.
Core stability idea
Recovery depends on timing.
A recovery window is open when action can still prevent collapse, reduce damage, restore buffer, or redirect the system.
A recovery window is closed when delay has caused irreversible… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/stability-recovery-window-v0.1.wind-turbine-scada-data-for-early-fault-detection
Wind Turbine SCADA Data For Early Fault Detection
About the Dataset
This dataset, originally published as "CARE to Compare: Wind Turbine Anomaly Detection Dataset," contains real-world SCADA data from wind turbines. It is designed for testing and developing anomaly detection algorithms for wind energy systems.
Dataset Overview
Duration: 89 years of cumulative operating data
Turbines: 36 wind turbines across 3 wind farms
Datasets: 95 total datasets… See the full description on the dataset page: https://huggingface.co/datasets/Chenglipzzc/wind-turbine-scada-data-for-early-fault-detection.clinical-quad-pk-sampling-window-deviation-bioanalytical-variance-dose-adjustment-interim-v0.1Clarus Clinical Quad Coupling PK Integrity v0.1
PurposeDetect PK integrity distortion driven by four interacting nodes.
Quad nodes
Sampling window deviation
Bioanalytical or stability variance
Dose adjustment decisions
Governance interim or submission timing
InputOne vignette.
OutputStrict JSON only.
Required keys
pk_integrity_risk
risk_type
driver_nodes
recommended_action
action_detail
rationale
confidence
Filesdata/train.csvdata/test.csvscorer.py
Run scoringCreate… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-pk-sampling-window-deviation-bioanalytical-variance-dose-adjustment-interim-v0.1.clinical-recovery-window-sepsis-v1Clinical Recovery Window Sepsis Detection
Overview
This dataset tests whether a model can detect when a clinical system is still recoverable.
In severe infections such as sepsis, patients often pass through a finite period during which intervention can still reverse the trajectory toward collapse. This period is known as the recovery window.
Once the recovery window closes, physiological deterioration becomes increasingly difficult to reverse and the system moves toward irreversible failure.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-recovery-window-sepsis-v1.clinical-recovery-window-detection-v0.1
clinical-recovery-window-detection-v0.1
What this dataset does
This dataset evaluates whether models can identify when a clinical trajectory remains inside or has crossed a recovery window.
The task is not simply to detect severity.
Some severe-looking cases are still recoverable.
Some moderate-looking cases have already lost recovery capacity.
Core stability idea
Recovery depends on the interaction between trajectory direction, response capacity, and timing.
A… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-recovery-window-detection-v0.1.ABX-PD-004_mutant_prevention_window_collapse-v0.1
ABX-PD-004: Mutant Prevention Window Collapse
This dataset tests early resistance risk before MIC moves.
The signal is a rising MPC that makes the mutant prevention window widen fast.
What you track
MIC in mg/L
MPC in mg/L
exposure_max_mg_L as a proxy for achievable concentration
Derived values
mpw_ratio = MPC / MIC
mpc_cover_margin = exposure_max_mg_L / MPC
Labels
mpw_collapse_signal
1 for rows at or after collapse
earliest_collapse
1 only for the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-PD-004_mutant_prevention_window_collapse-v0.1.clinical-lab-turnaround-treatment-window-coherence-risk-v0.1What this repo is for
Detect when lab turnaround times
and treatment windows
fall out of alignment
before
critical windows close
and harm occurs.
synthetic-guardrail-dataset-v1
Tanaos Guardrail Training Dataset
[!CAUTION]
We now have a newer version of this dataset: tanaos/synthetic-guardrail-dataset-v2 with improved coverage and quality. Consider using that instead.
This dataset was created synthetically by Tanaos with the Artifex Python library.
The dataset is designed to train and evaluate guardrail systems — models that detect, classify, or filter unsafe, harmful, or policy-violating text content. It can be used to train moderation models… See the full description on the dataset page: https://huggingface.co/datasets/Windtao1984/synthetic-guardrail-dataset-v1.recovery-window-instability-benchmark-v0.1Recovery Window Instability Benchmark v0.1
Overview
Some systems remain recoverable only for a limited period.
A system may not yet be collapsed, yet the window for successful intervention may already be narrowing or nearly closed.
This benchmark evaluates whether machine learning systems can detect recovery-window failure geometry.
In these scenarios, two systems may look similar in surface state and even similar in directional movement, but differ in one critical respect:
one still has a… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/recovery-window-instability-benchmark-v0.1.network-change-window-coherence-risk-v0.1What this repo is for
Detect risky network changes before you push them.
This is daily SRE reality:
missing pre-checks
no rollback plan
unknown blast radius
no monitoring after change
outages during maintenance windows
Use it to train models that score change readiness.
clinical-rescue-window-timing-v0.1
Clinical Rescue Window Timing v0.1
This dataset tests whether a model can identify intervention timing under a narrowing rescue window.
The task is not diagnosis.
The task is not choosing what to do.
The task is deciding when action is still absorbable.
Core idea
The same intervention can be:
too early
well-timed
too late
no longer absorbable
The model must infer whether to:
act_now
monitor_short_interval
delay_until_bandwidth_improves
rollback_now… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-rescue-window-timing-v0.1.Funny-Windows-Errors-Windows-Bibleswikifacts-window_2-qrelscherry-juice-guideDataset Details
Dataset Description
This dataset is derived from The Ultimate Tart Cherry Juice Buyer’s Guide. It organizes information about tart cherry juice concentrate into a structured format, including dosage, dilution ratios, concentration levels (Brix), sourcing, certifications, storage, and documented health benefits.
It is designed to support AI training, information retrieval, question-answering, consumer education, and market research.
Curated by: Traverse Bay Farms / Fruit… See the full description on the dataset page: https://huggingface.co/datasets/WindingIdeas/cherry-juice-guide.