ClarusC64/robotics-world-model-consistency-v0.1
What this dataset tests The internal world model matches perception and reality No duplication, teleporting, or stale entities Identity tracking stays stable Why this exists Embodied systems fail when state tracking breaks duplicated objects teleport assumptions stale memory wrong identity impossible combined states This set labels those breaks Data format perception_updates memory_state_before world_model_after observed_world_after Task Emit one… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/robotics-world-model-consistency-v0.1.
What this dataset tests
- The internal world model matches perception and reality
- No duplication, teleporting, or stale entities
- Identity tracking stays stable
Why this exists
Embodied systems fail when state tracking breaks
- duplicated objects
- teleport assumptions
- stale memory
- wrong identity
- impossible combined states
This set labels those breaks
Data format
- perception_updates
- memorystatebefore
- worldmodelafter
- observedworldafter
Task
- Emit one consistency label
- Give one short reason
Consistency pressures
- statemergeerror
- teleport_assumption
- removal_untracked
- identity_drift
- state_contradiction
- false_absence
- collapse_untracked
- pose_untracked
- swap_untracked
- hallucinated_entity
- map_duplication
- tracking_teleport
Prompt wrapper
System
You judge whether the robot world model stayed consistent with observations.
User
Perception Updates {perception_updates}
Memory Before {memorystatebefore}
World Model After {worldmodelafter}
Observed World After {observedworldafter}
Return
- one label
- one reason
Citation
ClarusC64 dataset family