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README.md
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---
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pretty_name: VT-MUSE Real-World Visuotactile Manipulation Dataset
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task_categories:
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- robotics
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language:
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- en
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tags:
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- robotics
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- tactile-sensing
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- visuotactile
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- manipulation
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- open-x-tactile
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---
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# VT-MUSE Real-World Visuotactile Manipulation Dataset
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This repository hosts the real-world tactile manipulation data contributed with VT-MUSE to the [Open-X-Tactile (OXT) dataset](https://open-x-tactile.github.io/).
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The release follows the FTP-1-compatible Zarr organization required by OXT. Each task is distributed as an independently downloadable ZIP archive containing one standardized Zarr dataset.
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## Dataset contents
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| Sub-dataset | Trajectories |
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| --- | ---: |
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| `insert_tube` | 250 |
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| `press_toaster` | 100 |
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| `pull_out_drawer` | 100 |
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| `wipe_board` | 201 |
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| **Total** | **651** |
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The standardized release contains 192,225 temporally aligned frames. It includes the 200 trajectories used for the final VT-MUSE real-world experiments (50 per task) and 451 additional valid real-world trajectories. The authoritative episode-level split is recorded in the OXT submission manifest.
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## Repository layout
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```text
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insert_tube/
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insert_tube.zarr.zip
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press_toaster/
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press_toaster.zarr.zip
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pull_out_drawer/
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pull_out_drawer.zarr.zip
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wipe_board/
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wipe_board.zarr.zip
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README.md
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supplementary_tactile_note.json
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```
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## Sensors and observations
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- Fixed third-person RGB camera, exported as `camera_main_rgb`.
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- Robot state/action: seven arm joints and one gripper degree of freedom.
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- Two GelSight Mini tactile pads, with aligned tactile RGB observations.
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- Supplemental per-pad tactile depth maps are documented in `supplementary_tactile_note.json`.
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## Format and quality control
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The archives use the OXT/FTP-1-compatible Zarr schema. Metadata and structure validation was run with the official [OXT-QC toolkit](https://github.com/nolann030628/OXT-QC). The four task-level Zarr datasets passed the metadata precheck with no reported errors or warnings.
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For the data-format specification and the broader collection, visit the [Open-X-Tactile website](https://open-x-tactile.github.io/).
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## Institution and contact
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Shanghai Jiao Tong University
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Contact: acondaway@sjtu.edu.cn
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insert_tube/insert_tube.zarr.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc4d9e24e1cf1895e3a9800e210f199230dd0caab07740deb034920914bbd202
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size 42655929273
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press_toaster/press_toaster.zarr.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:86142282d7e321334371adec0fd9f7ef6536d9d7170b46efa879278471cd22e9
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size 12804948690
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pull_out_drawer/pull_out_drawer.zarr.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:dbb585a6abcedae20289cad6dd0a66bc8c099fcf77510b0e05cc3719e11ecaa2
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size 9554231915
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supplementary_tactile_note.json
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{
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"right_tactile_data_gripper_depth": {
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"type": "image",
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"shape": [2, 224, 224, 1],
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"sensor_num": 2,
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"sensor_dimension": [224, 224, 1],
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"sensor_description": "Per-frame tactile depth maps from the same two GelSight Mini pads as right_tactile_data_gripper. Values are stored as float32 and spatially aligned to the standardized 224 x 224 tactile RGB streams.",
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"sensor_idx_description": {
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"sensor_idx_0": "GelSight Mini pad mounted on the left gripper finger in the source recording.",
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"sensor_idx_1": "GelSight Mini pad mounted on the right gripper finger in the source recording."
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}
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}
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}
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wipe_board/wipe_board.zarr.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:c9a5ae27667e32cfffe4e66ede9fe110a18ac72e781ae93110c2067fb9e26ab1
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size 31155310429
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