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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01nvidia /PhysicalAI-Robotics-PhysicalAssets-VoMP-Eval VoMP: Predicting Volumetric Mechanical Properties Dataset Description: The Pre-Processed 3D Dataset is a dataset that is composed of 4 individual 3D asset datasets which are processed to render them from multiple views, voxelize the assets, and propagate VLM annotations for material properties. We release pre-processed data derived from the 3D assets, specifically: voxels, rendered images, and LLM-annotated material descriptions. This dataset is for research and… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-PhysicalAssets-VoMP-Eval.text1K<n<10K3 likes678 downloads8mo agoHugging Face02ClarusC64 /robotics-failure-recovery-integrity-v0.1What this dataset tests Failure is detected Failure is acknowledged Recovery is appropriate and safe Why this exists Robots often fail twice first in action second in recovery This set makes that visible Data format failure_signal detection_response recovery_plan executed_recovery outcome Task Emit one recovery label Give one short reason Recovery pressures slip_event torque_spike mechanical_break blocked_path repeat_error human_interaction… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/robotics-failure-recovery-integrity-v0.1.texttext-classificationn<1K0 likes36 downloads8mo agoHugging Face03ClarusC64 /robotics-action-outcome-coherence-v0.1What this dataset tests Whether claimed success matches physical outcome Whether constraints are respected Whether failure is acknowledged Why this exists Robots often narrate successPhysics disagrees This set forces contact with reality Data format Each row contains initial_state commanded_action physical_constraints observed_outcome claimed_outcome Feed the model initial_state commanded_action physical_constraints observed_outcome claimed_outcome Score… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/robotics-action-outcome-coherence-v0.1.texttext-classificationn<1K0 likes28 downloads8mo agoHugging Face04ClarusC64 /robotics-constraint-aware-motion-v0.1What this dataset tests Motion plans respect limits Safety rules hold near humans Paths avoid obstacles Why this exists Robots fail when planners ignore limits.This set catches that. Data format robot_state planned_trajectory constraints environment execution_result Task Emit one label Give a short reason Scoring Correct label Reference the broken limit Reference space or motion Constraint pressures collision_risk joint_limit torque_limit… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/robotics-constraint-aware-motion-v0.1.texttext-classificationn<1K0 likes26 downloads8mo agoHugging Face05ClarusC64 /robotics-human-intent-alignment-v0.1What this dataset tests The robot correctly interprets human signals The robot respects safety constraints The robot asks clarifying questions when needed Why this exists Robots fail around humans when they ignore stop signals act too literally overreach without confirmation miss gestures treat ambiguity as certainty Data format human_signal context robot_interpretation robot_action outcome Task Emit one intent label Give one short reason Intent… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/robotics-human-intent-alignment-v0.1.texttext-classificationn<1K0 likes25 downloads8mo agoHugging Face06Bumblebee-Robotics /clinical-adverse-events-datasetgated Clinical Adverse Events Dataset Overview This dataset contains 400 curated adverse event reports based on the FDA FAERS (FDA Adverse Event Reporting System) structure. It is designed for training AI systems in pharmaceutical safety analysis and regulatory compliance. Dataset Description The dataset provides comprehensive adverse event information including patient demographics, drug exposures, event narratives, outcomes, and medical histories. Each record has… See the full description on the dataset page: https://huggingface.co/datasets/Bumblebee-Robotics/clinical-adverse-events-dataset.textn<1K0 likes22 downloads1y agoHugging Face07ClarusC64 /robotics-multi-agent-coordination-coherence-risk-v0.1What this repo is for You use it to detect when robot fleets stop coordinating properly. It captures real deployment failure signals: shared map divergence task allocation conflicts comms latency desync deadlocks in corridors swarm formation collapse Applies to: warehouse robot fleets hospital delivery robots drone swarms factory material handling Prompt format Return exactly one token coherent or incoherent tabulartext-classificationn<1K0 likes22 downloads7mo agoHugging Face08ClarusC64 /robotics-temporal-action-sequencing-v0.1What this dataset tests Whether actions occur in the correct order Whether prerequisite steps are respected Whether unsafe ordering is detected Why this exists Robots often fail by doing the right actionsin the wrong order This set detects temporal incoherence Data format planned_sequence executed_sequence observed_result Task Emit one sequencing label Give a short explanation Sequencing pressures ordering_error premature_force missing_tilt loop_error… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/robotics-temporal-action-sequencing-v0.1.texttext-classificationn<1K0 likes21 downloads8mo agoHugging Face09ClarusC64 /robotics-command-actuation-coherence-loss-v0.1What this repo is for You use it to detect when a robot sends the right command but the hardware does not execute it faithfully. It captures deployment failures such as: controller instability actuator saturation excessive latency torque or thrust limits exceeded feedback diverging from command Applies to: industrial robot arms AMRs and mobile bases drones grippers and end effectors Prompt format Return exactly one token coherent or incoherent tabulartext-classificationn<1K0 likes21 downloads7mo agoHugging Face10ClarusC64 /robotics-perception-action-alignment-v0.1What this dataset tests Whether robot actions match current perception Whether the system acts on stale, wrong-frame, or hallucinated state Why this exists Robots fail when perception and action decouple stale frames latency occlusion misclassification hallucinated targets This set makes those failures measurable Data format Each row contains sensor_snapshot world_state_change commanded_action executed_action outcome The task is to label alignment and… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/robotics-perception-action-alignment-v0.1.texttext-classificationn<1K0 likes20 downloads8mo agoHugging Face11vsarathy /nl-robotics-semantic-parsing-info_structure-30k-contexttext10K<n<100K0 likes15 downloads3y agoHugging Face12vsarathy /nl-robotics-semantic-parsing-info_structure-2k-novelty-context-TESTtext1K<n<10K0 likes15 downloads3y agoHugging Face13ClarusC64 /robotics-sensor-fusion-coherence-failure-v0.1What this repo is for You use it to detect when multiple sensors stop agreeing about reality. It captures real-world autonomy failures: camera sees clear path but lidar disagrees IMU drift destabilises pose odometry diverges from world model fusion confidence collapses before failure Applies to: warehouse robots mobile robots drones industrial arms field robotics Prompt format Return exactly one token coherent or incoherent texttext-classificationn<1K0 likes15 downloads7mo agoHugging Face14vsarathy /nl-robotics-semantic-parsing-info_structure-2k-novelty-no-context-TESTtext1K<n<10K0 likes14 downloads3y agoHugging Face15ClarusC64 /robotics-plan-execution-coherence-drift-v0.1What this repo is for You use it to detect when a robot has a valid plan but drifts off it in the real world. It captures common deployment failures: localisation drift control tracking error obstacle surprises that require replan feasible in sim but fails in reality Typical uses: warehouse AMRs hospital delivery robots manipulator trajectory execution field inspection robots Prompt format Output must be exactly one token coherent or incoherent texttext-classificationn<1K0 likes14 downloads7mo agoHugging Face16ClarusC64 /robotics-world-model-coherence-drift-v0.1What this repo is for You use it to detect when a robot’s internal world model no longer matches reality. It captures failures like: map outdated after environment change localisation drift object position mismatch robot navigating into blocked space Applies to: warehouse robots delivery robots drones inspection robots industrial manipulators Prompt format Return exactly one token coherent or incoherent texttext-classificationn<1K0 likes14 downloads7mo agoHugging Face17vsarathy /nl-robotics-semantic-parsing-info_structure-30k-no-contexttext10K<n<100K0 likes12 downloads3y agoHugging Face18vsarathy /nl-robotics-translation-simple_english-30k-contexttext10K<n<100K0 likes12 downloads3y agoHugging Face19KIT-RoboInfo /robotics_1000_dataset.csvtext1K<n<10K0 likes12 downloads10mo agoHugging Face20ClarusC64 /robotics-goal-persistence-under-disturbance-v0.1What this dataset tests Goal remains stable when the world shifts Replanning happens instead of goal drift Safety interrupts persistence when needed Why this exists Robots often fail under disturbance they abandon goals they substitute easier goals they keep pushing unsafely This set labels those outcomes Data format primary_goal disturbance_event chosen_action_after rationale_after Task Emit one persistence label Give one short reason Disturbance pressures… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/robotics-goal-persistence-under-disturbance-v0.1.texttext-classificationn<1K0 likes12 downloads8mo agoHugging Face21vsarathy /nl-robotics-semantic-parsing-info_structure-10k-no-context-TESTtext1K<n<10K0 likes11 downloads3y agoHugging Face22ClarusC64 /robotics-human-proximity-safety-coherence-risk-v0.1What this repo is for You use it to detect safety envelope drift in human-robot environments. It targets failures that precede incidents: human detected but robot fails to slow stop not triggered when required unsafe overrides used to keep throughput near misses that signal a rising accident risk Applies to: warehouse AMRs factory cobots hospital delivery robots mixed human-robot zones Prompt format Return exactly one token coherent or incoherent texttext-classificationn<1K0 likes11 downloads7mo agoHugging Face23vsarathy /nl-robotics-translation-simple_english-30k-no-contexttext10K<n<100K0 likes10 downloads3y agoHugging Face24vsarathy /nl-robotics-translation-simple_english-12k-context-TESTtext1K<n<10K0 likes10 downloads3y agoHugging Face25vsarathy /nl-robotics-semantic-parsing-info_structure-2k-no-context-TESTtext1K<n<10K0 likes10 downloads3y agoHugging Face26Goyoonjung /my-robotics-dataset-12 My Robotics Dataset 12 This dataset contains synthetic robotics interaction data designed for reinforcement learning experiments, control policy evaluation, and navigation simulation. Data Structure Each row represents a timestep within an episode, including state, action, and reward signals. Intended Use Reinforcement learning benchmarks Robotics control experiments Simulation-based policy testing tabularreinforcement-learningn<1K0 likes10 downloads8mo agoHugging Face27ClarusC64 /robotics-task-intent-outcome-coherence-risk-v0.1What this repo is for Detect when robots complete actions but fail the real task. This is what companies care about: robot did something but not what mattered. Use it to track: wrong bin placement incomplete inspections wrong delivery skipped assembly steps This becomes the top-level KPI dataset for robotics deployments. texttext-classificationn<1K0 likes10 downloads7mo agoHugging Face28vsarathy /nl-robotics-semantic-parsing-info_structure-10k-context-TESTtext1K<n<10K0 likes9 downloads3y agoHugging Face29vsarathy /nl-robotics-translation-simple_english-2k-context-TESTtext1K<n<10K0 likes9 downloads3y agoHugging Face30Kay-Sun001 /Robotics_commandtext1K<n<10K2 likes9 downloads2y agoHugging Face

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