datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ladakh-thermal-shelter-surrogate
Ladakh Thermal Shelter Surrogate Dataset
Dataset Overview
This dataset contains high-fidelity physics-based thermal simulation logs generated locally using EnergyPlus for specialized area-specific shelter design focused on thermal comfort maintenance in extreme cold environments like Ladakh, India.
Dataset Structure
Total Rows: ~1.31 Crore (13,140,000 hourly simulation time-steps)
Configurations: 1,500 unique shelter variations generated via Latin… See the full description on the dataset page: https://huggingface.co/datasets/VashuTheGreat2/ladakh-thermal-shelter-surrogate.deep-space-optical-chip-thermal-dataset
🚀 Deep Space Optical Chip Thermal Dataset 🪐
🌡️ 40,000 scenario-based prompt and response pairs on thermal mitigation for photonic chips in scientific instruments aboard deep-space probes, covering refractive index drift, waveguide misalignment, and thermal stress across materials, instruments, and environments.
⚠️ Disclaimer: All entries are synthetically generated. Material coefficients are drawn from published typical values, but no row is based on mission logs or flight… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/deep-space-optical-chip-thermal-dataset.thermal-stability
🔥❄️ Thermal Stability Dataset
🌡️ 100,000 synthetic rows describing thermal behavior of photonic waveguides: material properties, geometry, thermo-optic response, stress, and optical performance across a temperature sweep.
⚠️ Disclaimer: All rows are synthetically generated. Material constants are drawn from published typical values, but no row is a measured device or a run of the named simulation tool. The simulation_model and measurement_uncertainty columns are schema… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/thermal-stability.building-envelope-thermal-transmission-benchmark-2026fission-fuel-cladding-thermal-expansion-coherence-baseline-mapping-v0.1What this dataset tests
Whether a model can map the baseline coherent relationship between:
fuel pellet thermal expansion
cladding creep/strain
fission gas release
before failure risk emerges.
The goal is to learn the normal coupling surface across burnup cycles and identify early decoherence.
Required model outputs
coupling_score
decoupling_flag
Why it matters
Fuel rod failure rarely begins with a single threshold breach.
It begins when pellet expansion stops predicting cladding strain.
Or… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/fission-fuel-cladding-thermal-expansion-coherence-baseline-mapping-v0.1.datacenter-thermal-performance-coherence-risk-v0.1What this repo is for
Detect when heat and performance start to decouple.
Focus
• hotspot temperature vs throttling
• cooling margin vs p95 latency stability
• fan headroom vs sustained load
• early drift before alarms and shutdowns
Why it matters
Many outages are preceded by thermal drift.
Operators see it as “random latency.”
This dataset turns it into an early warning signal.
f1-latent-cross-coupling-thermal-load-instability-v0.1
What this repo does
Detects hidden thermal instability before performance loss appears.
Focus: temperature-driven failure across interacting systems.
Core variables
tyre_temp_load
brake_temp_load
power_unit_heat_load
cooling_efficiency
Prediction target
label_thermal_load_instability
1 → thermal regime will force performance drop0 → thermal state remains stable
Key idea
Thermal failure is rarely single-source.
It emerges from interaction:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-latent-cross-coupling-thermal-load-instability-v0.1.gaming-pc-thermal-and-cooling-benchmarksfusion-magnetic-thermal-impurity-coupling-baseline-v0.1What this dataset tests
Whether a system can learn the baseline couplingbetween three linked stability surfaces:
magnetic field stability
temperature gradient structure
impurity concentration
Required outputs
coupling_strength_index
expected_coupling_band
anomaly_score
confidence_score
Use case
Layer 1 of COH-FUSION-001Plasma Stability Coherence Collapse.
Why it matters
Disruption risk riseswhen these three streamsstop moving together.
This dataset definesthe stable coupling… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/fusion-magnetic-thermal-impurity-coupling-baseline-v0.1.fusion-magnetic-thermal-impurity-coupling-baseline-mapping-v0.1What this dataset is
You get fusion discharge snapshots.
You track whether coupling holds across:
magnetic stability signals
thermal gradients and confinement
impurity loading and radiation losses
The key event is coupling decay.
Not a single threshold.
Inputs
bt_stability
ip_stability
elongation_kappa_stability
edge_q95_stability
core_temp_keV
temp_gradient_index
impurity_zeff
impurity_radiation_fraction
stored_energy_mj
confinement_tau_e_ms
Required outputs
coherence_score
0 to 1… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/fusion-magnetic-thermal-impurity-coupling-baseline-mapping-v0.1.