observation.state list | action list | observation.tcp list | ref_dice list | ref_block list | ref_block_resid_mm float32 0.2 0.2 | dist_to_target_mm float32 -1 -1 | success float32 -1 -1 | outcome stringclasses 1
value | run_episode stringclasses 1
value | timestamp float32 0 79 | frame_index int64 0 79 | episode_index int64 0 0 | index int64 0 79 | task_index int64 0 0 |
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This dataset was created using LeRobot.
Dataset Structure
{
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"fps": 1,
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"success": {
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"index": {
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},
"total_episodes": 1,
"total_frames": 80,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"robot_type": "fanuc_crx5ia",
"splits": {
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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/20260910_003719_metrics.json.
- successes: 0 / 0 scored-and-surveyed episodes (Wilson 95%: 0.00 to 1.00); n scored = 1
- stage_at_least (stages 0..6): [1, 1, 1, 1, 1, 0, 0]
- failure classes: {'UNKNOWN': 1} | details: {'held_to_end': 1}
- median t_reach 8 s, median t_grasp 10 s
| ep | outcome | success | steps | d_min mm | dice moved mm | progress | stage | class | detail | t_grasp s |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | budget | None | 2400 | 4.0 | - | 0.97 | 4 | UNKNOWN | held_to_end | 10 |
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