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Datasets:
azorematter
/
fanuc_dice_eval_20260909_004840

Tasks:
Robotics
Modalities:
Tabular
Text
Time-series
Formats:
parquet
Size:
1K - 10K
Tags:
LeRobot
fanuc
crx-5ia
pick-and-place
dice
evaluation
Libraries:
Datasets
pandas
Polars
License:
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Auto-converted to Parquet Duplicate
observation.state
list
action
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observation.tcp
list
ref_dice
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End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
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    "fps": 1,
    "features": {
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    "total_tasks": 1,
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}

Citation

BibTeX:

[More Information Needed]

Evaluation metrics

Metrics as defined in fanuc_control/inference/score.py (episode_metrics per episode, summarize for the run). Full record: logs/20260909_004840_metrics.json.

  • successes: 0 / 5 scored-and-surveyed episodes (Wilson 95%: 0.00 to 0.43); n scored = 5
  • stage_at_least (stages 0..6): [5, 5, 5, 3, 3, 0, 0]
  • failure classes: {'GRASP_DROP': 3, 'OTHER': 2} | details: {'early_release': 1, 'held_to_end': 2}
  • median t_reach - s, median t_grasp 130 s
ep outcome success steps d_min mm dice moved mm progress stage class detail t_grasp s
0 budget False 400 24.1 0.04 0.75 2 OTHER None -
1 released False 168 28.2 0.05 0.71 4 GRASP_DROP early_release 87
2 budget False 400 96.3 0.74 0.56 2 OTHER None -
3 timeout False 651 92.6 0.39 0.58 4 GRASP_DROP held_to_end 130
4 timeout False 651 87.0 2.43 0.53 4 GRASP_DROP held_to_end 263
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License:
apache-2.0
Number of rows:
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