DorianAtSchool/robocasa_20260430T030150Z_full_run_setup_wine_glasses

pretty_name: RoboCasa Trajectories Single configs:

• —configname: default datafiles:
• —split: train path: data/train-* ---

# RoboCasa Trajectories Single

This dataset contains one row per RoboCasa trajectory / episode.

## Structure

Each row is one trajectory / episode.

Episode-level JSON is stored inline:

• —adapted_trajectory
• —original_trajectory
• —execution_metadata

Step-level data is stored in aligned sequence columns:

• —step_index
• —tool_name
• —tool_args
• —robot_idx
• —success

Image columns stay inline and viewable in the dataset table:

• —room_view
• —top_view
• —map
• —agentview_center
• —agentview_left
• —agentview_right
• —wrist

## Summary

• —rows: 2974
• —episodes: 2974
• —tasks: SetupWineGlasses
• —average steps per episode: 34.9

## Load

        from datasets import load_dataset

        ds = load_dataset("DorianAtSchool/robocasa_20260430T030150Z_full_run_setup_wine_glasses", split="train")

## Notes

• —Camera renders are stored as JPEG. Maps remain PNG.
• —MP4 videos are not included in the dataset.
• —Debug initial / pre_initial_state camera frames are not part of the dataset.
• —Row granularity: trajectory.
• —This layout is self-contained under load_dataset(), but nested sequence columns are less friendly for the HF table viewer.