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README.md
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---
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language:
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- en
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license: mit
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pretty_name: Robotics Temporal Action Sequencing v0.1
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dataset_name: robotics-temporal-action-sequencing-v0.1
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tags:
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- clarusc64
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- robotics
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- temporal
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- sequencing
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task_categories:
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- text-classification
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- robotics
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train.csv
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- split: test
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path: data/test.csv
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---
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What this dataset tests
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- Whether actions occur in the correct order
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- Whether prerequisite steps are respected
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- Whether unsafe ordering is detected
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Why this exists
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Robots often fail by doing the right actions
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in the wrong order
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This set detects temporal incoherence
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Data format
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- planned_sequence
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- executed_sequence
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- observed_result
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Task
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- Emit one sequencing label
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- Give a short explanation
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Sequencing pressures
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- ordering_error
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- premature_force
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- missing_tilt
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- loop_error
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- pause_omission
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- alignment_skip
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- contact_skip
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- release_early
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- scan_skip
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- support_order
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- reset_skip
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Prompt wrapper
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System
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You judge whether a robot followed the correct action sequence.
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User
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Planned Sequence
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{planned_sequence}
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Executed Sequence
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{executed_sequence}
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Observed Result
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{observed_result}
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Return
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- one label
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- one reason
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Citation
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ClarusC64 dataset family
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