---
language:
  - en
license: mit
pretty_name: Robotics Temporal Action Sequencing v0.1
dataset_name: robotics-temporal-action-sequencing-v0.1
tags:
  - clarusc64
  - robotics
  - temporal
  - sequencing
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  

- 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 actions  
in 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  
- pause_omission  
- alignment_skip  
- contact_skip  
- release_early  
- scan_skip  
- support_order  
- reset_skip  

Prompt wrapper  

System  

You judge whether a robot followed the correct action sequence.

User  

Planned Sequence  
{planned_sequence}

Executed Sequence  
{executed_sequence}

Observed Result  
{observed_result}

Return  

- one label  
- one reason  

Citation  

ClarusC64 dataset family