metadata
language:
- en
license: mit
pretty_name: Robotics World Model Consistency v0.1
dataset_name: robotics-world-model-consistency-v0.1
tags:
- clarusc64
- robotics
- world-model
- memory
- consistency
task_categories:
- text-classification
- robotics
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
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 consistency label
- Give one short reason
Consistency pressures
- state_merge_error
- 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
{memory_state_before}
World Model After
{world_model_after}
Observed World After
{observed_world_after}
Return
- one label
- one reason
Citation
ClarusC64 dataset family