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Interact with the objects in diverse but meaningful ways.
Place the fish, sausage, and tomato into the frying pan.
Interact with the objects in diverse but meaningful ways.
Interact with the objects in diverse but meaningful ways.
Interact with the objects in diverse but meaningful ways.

austin_sailor_dataset_converted_externally_to_rlds robot-removal inpainting dataset

This dataset contains robot-removal inpainting results for austin_sailor_dataset_converted_externally_to_rlds. Each episode provides:

  • inpainting.mp4: the robot visually removed via inpainting
  • mask.mp4: the robot mask video used for inpainting
  • original_episode.mp4: the original (unmodified) episode video
  • language_instructions_{split}_all.txt: tab-separated mapping from episode_id to instruction

Relation to OXE-AugE

This release is produced as part of OXE-AugE (AugE-Toolkit), a large-scale robot augmentation project. This inpainting dataset is an intermediate artifact from the overall augmentation pipeline, released independently because it is valuable for downstream research and reuse.

Folder structure

austin_sailor_dataset_converted_externally_to_rlds/
β”œβ”€β”€ README.md
β”œβ”€β”€ archives/
β”‚   └── austin_sailor_dataset_converted_externally_to_rlds_train.tar
β”œβ”€β”€ preview/
β”‚   └── train/
β”‚       β”œβ”€β”€ 000000_inpainting.mp4
β”‚       β”œβ”€β”€ 000000_mask.mp4
β”‚       β”œβ”€β”€ 000000_original.mp4
β”‚       β”œβ”€β”€ ...
β”‚       └── metadata.jsonl
└── language_instructions_train_all.txt

How to extract

From the dataset repo root:

tar -xf archives/austin_sailor_dataset_converted_externally_to_rlds_train.tar

Each tar extracts to:

austin_sailor_dataset_converted_externally_to_rlds/
└── {split}/
    └── {episode_id}/
        β”œβ”€β”€ inpainting.mp4
        β”œβ”€β”€ mask.mp4
        └── original_episode.mp4

Instruction mapping

For each processed split, language_instructions_{split}_all.txt contains lines:

<episode_id>\t<instruction>

(\t means a literal TAB character.)

So episode 17 corresponds to the line starting with 17\t..., and to folder: austin_sailor_dataset_converted_externally_to_rlds/{split}/17/

Citation

@misc{
  ji2025oxeauge,
  title  = {OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning},
  author = {Ji, Guanhua and Polavaram, Harsha and Chen, Lawrence Yunliang and Bajamahal, Sandeep and Ma, Zehan and Adebola, Simeon and Xu, Chenfeng and Goldberg, Ken},
  journal = {arXiv preprint arXiv:2512.13100},
  year = {2025}
}
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