datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ShockCast
Dataset Card for A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling
Coal Dust Explosion
Circular-Blast
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shock_wave_segmentation_on_shadowgraph_imagesDataset for shock waves segmentation on the shadowgraph and schlieren images
Citation
If you use this model, dataset, or accompanying software in your research, please cite one or more of the following publications, selecting those most relevant to your work:
https://doi.org/10.1016/j.actaastro.2025.09.091
https://doi.org/10.26089/NumMet.v24r217
https://doi.org/10.1615/JFlowVisImageProc.2025058234
https://doi.org/10.1016/j.actaastro.2023.11.021… See the full description on the dataset page: https://huggingface.co/datasets/igor3357/shock_wave_segmentation_on_shadowgraph_images.acereason_v7_math_precomputedso100_test331This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ShockleyWong/so100_test331.weixue_test361This dataset was created using LeRobot.
Dataset Structure
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ShockleyWong/weixue_test361.latent-reasoner-sftso100_test332This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ShockleyWong/so100_test332.so100_test321This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ShockleyWong/so100_test321.global-commodity-shocks-analysis-dataacereason_v7_math_multiresponseso100_test8This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ShockleyWong/so100_test8.weixue_test371This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ShockleyWong/weixue_test371.clinical-five-node-shock-cascade-boundary-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling shock cascade transition with a five-node clinical structure.
Earlier Clarus datasets focused on state detection and boundary discovery.
Version v0.5 adds a recovery geometry layer that asks a stricter question:
Can the system still return to stability?
The task is binary classification over shock-linked deterioration states using:
• a five-node clinical cascade• trajectory… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.5.grand-shock-7c8109
grand-shock-7c8109
Synthetic weather test data: 33 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/Wild-Owen/grand-shock-7c8109.clinical-five-node-shock-cascade-boundary-v0.6
What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on shock cascade boundary dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating shock system represented as a five-node cascade.
The task requires reasoning from:
multi-node system state
trajectory toward instability
boundary geometry
recovery geometry
intervention vector
projected trajectory consequence
The… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.6.autonomous-driving-rss-incoherence-propagation-and-shockwave-detection-v0.1What this dataset tests
Whether a system can quantify
how incoherence propagates through traffic.
This is not collision detection.
It is shockwave and recovery measurement.
Required outputs
initial_disturbance_type
affected_agents_count
braking_wave_velocity
lane_stability_loss
recovery_time_s
propagation_severity_score
Scoring conventions
braking_wave_velocity is relative wave speed
lane_stability_loss ranges 0 to 1
propagation severity ranges 0 to 1
affected agents counts… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-rss-incoherence-propagation-and-shockwave-detection-v0.1.oasst_best_k2_en
Dataset Card
This dataset is a subset of the Open Assistant dataset, which you can find here: https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main
This subset of the data only contains the highest-rated (quality >= 0.75) english conversation paths of maximum 1 turn - rank 1/top-k=2 - which means the maximum loop one conversation has is Human - Assistant - Human - Assistant, with a total of 4355 samples.
If you want all the turns, you can refer to… See the full description on the dataset page: https://huggingface.co/datasets/shockroborty/oasst_best_k2_en.clinical-five-node-shock-cascade-boundary-v0.8
What this repo does
This repository provides a Clarus v0.8 clinical five-node dataset for detecting and reasoning about shock cascade boundary transitions.
The dataset models situations where a patient state is no longer contained within a single shock basin but is shifting between competing regimes such as:
compensated shock with rising perfusion strain
vasodilatory collapse
cardiogenic spiral
refractory multi-organ shock
This is the conceptual upgrade introduced in Clarus v0.8.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.8.shockedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/nemusac/shocked.shock_waves_segmentationShock Wave Segmentation Dataset
This dataset is designed for the segmentation of shock waves in experimental shadowgraph images. It contains images of unsteady gas-dynamic flows with polygon annotations marking visible shock-wave fronts. The annotations are provided in the Ultralytics YOLO segmentation format and are compatible with YOLO26.
The dataset can be used to train, validate, and evaluate models for automatic shock-wave detection and segmentation. Potential applications include… See the full description on the dataset page: https://huggingface.co/datasets/igor3357/shock_waves_segmentation.clinical-five-node-shock-cascade-boundary-v0.1
What this repo does
This dataset models the transition from pressured but recoverable circulation to shock cascade using a five-variable interaction structure.
The goal is to detect when a patient is drifting toward shock boundary failure before overt systemic collapse is fully established.
Shock often unfolds as a cascade: perfusion pressure falls, physiological reserve narrows, intervention delays reduce reversibility, organ interactions amplify instability, and metabolic… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.1.clinical-five-node-shock-cascade-boundary-v0.2
What this repo does
This dataset evaluates whether machine learning models can detect shock cascade boundary transitions using both system state and system trajectory.
Earlier Clarus datasets in the v0.1 series tested whether models could classify system state alone.
Clarus v0.2 datasets add a trajectory signal so models must determine not only where the system is, but where it is moving inside state space.
This benchmark therefore tests whether models can read trajectory inside… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.2.unsafe_shocking_image_captions
Dataset Card for "unsafe_shocking_image_captions"
More Information needed
safe_shocking_image_captions
Dataset Card for "safe_shocking_image_captions"
More Information needed
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.clinical-five-node-shock-cascade-boundary-v0.4
What this repo does
This dataset models shock cascade instability boundaries using a five-node physiological interaction system.
Clarus v0.4 datasets focus on detecting whether systems lie on the edge of cascade instability.
The objective is to determine when the shock system is so close to collapse that even small perturbations trigger systemic failure.
Core cascade nodes
hemodynamic_stressvascular_bufferintervention_delayorgan_couplingmetabolic_stress
These nodes… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.4.nndss-table-1hh-streptococcal-toxic-shock-syndrome
NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary
Description
NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.
Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS).… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/nndss-table-1hh-streptococcal-toxic-shock-syndrome.market-shock-origin-and-primary-transmission-mapping-v0.1What this dataset tests
Whether a system can identifythe origin of a market shockand map the first-order transmission path.
Scope
First wave only.Minutes to days.No second-order cascade modeling.
Required outputs
shock origin node
shock origin type
first-order transmission paths
transmission channel type
transmission speed band
immediate liquidity impact
primary absorber markets
first-wave stability score
Origin types
credit default
policy surprise
liquidity withdrawal… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/market-shock-origin-and-primary-transmission-mapping-v0.1.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-five-node-shock-cascade-boundary-v0.3
What this repo does
This dataset models shock cascade boundary approach using a Clarus five-node coupling framework combined with trajectory and system dynamics.
The goal is to predict whether a patient is approaching the shock cascade boundary.
The dataset introduces a dynamic forecasting layer that allows models to reason about motion through the stability manifold rather than relying only on static physiological snapshots.
Core five-node cascade… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.3.