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DexManiTac/README.md
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---
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pretty_name: DexManiTac
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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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- multimodal
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- manipulation
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- zarr
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size_categories:
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- 10K<n<100K
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---
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# DexManiTac Dataset
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Open X-Tactile / FTP-1 compatible manipulation data collected with a Franka FR3,
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parallel gripper, Intel RealSense cameras, and one Xense vision-based tactile sensor.
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Hugging Face: <https://huggingface.co/datasets/xinpan/DexManiTac>
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## Summary
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- 5 tasks
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- 337 trajectories
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- 29,802 synchronized frames (approximately 49.7 minutes at 10 Hz)
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- Xense installed on the left gripper pad (`functional-area ID = 0`)
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- Contact: `mengxinpan2024@ia.ac.cn`
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| Task | Trajectories | Frames |
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| --- | ---: | ---: |
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| In-hand relocation | 124 | 12,268 |
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| Pull bottle | 60 | 4,010 |
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| Stamp | 65 | 6,418 |
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| Wipe board | 25 | 3,270 |
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| Wipe board with a pre-grasped tool | 63 | 3,836 |
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## Contents
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Each task is stored as a Zarr v2 directory with `data/` arrays and
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`meta/episode_ends`. The main fields are:
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- `camera_main_rgb`: D435 RGB, 224 x 224
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- `right_wrist_camera_rgb`: D405 RGB, 224 x 224
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- `right_arm_joints`: seven FR3 joint positions
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- `right_hand_joints`: parallel-gripper width, canonical index 28
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- `right_wrist_pose`: xyz in the FR3 base frame plus rotation vector
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- `right_tactile_data_xense_image`: Xense RGB tactile image
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- `right_tactile_data_xense_force_grid`: 35 x 20 x 3 dense force field
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- `right_tactile_data_xense_force_resultant`: six-dimensional force resultant
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- paired `right_tactile_area_*`, `right_tactile_sensor_*`, and
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`right_tactile_type_*` metadata arrays
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- `sub_task_instruction` and `timestamps`
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All camera and tactile images are RGB. Modalities were nearest-neighbor aligned to
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the host timestamp using their recorded source timestamps, then cropped to common
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temporal support. Source HDF5 files were not modified.
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For ModelScope distribution, task stores are packaged under one dataset parent
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directory rather than exposed at the repository root:
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```text
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DexManiTac/
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|-- inhand_relocation.zarr.zip
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|-- pull_bottle.zarr.zip
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|-- stamp.zarr.zip
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|-- wipe_board.zarr.zip
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`-- wipe_board_simple_pregrasp.zarr.zip
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```
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## Quality control
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`validation_report.json` records the automated schema, episode-boundary, timing,
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shape, metadata, and full floating-point finite-value checks. `source_manifest.csv`
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provides per-episode provenance and synchronization statistics. The `qc/` directory
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contains visual montages, and `video.mp4` is a short multi-task preview.
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## Conventions
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The sensor identifier is `Xense`. Its functional area is confirmed as the left
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gripper pad / thumb side (`0`). `right_wrist_pose` preserves the FR3-base world
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frame and the collected end-effector local-axis convention; no additional fixed
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transform to another gripper convention has been applied.
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## License
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License to be confirmed before public release.
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DexManiTac/inhand_relocation.zarr.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:44680c994f52416cef23da1099e417481ba7b2b008915ee64c1b35d4032e84b3
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size 3497859925
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DexManiTac/manifest.json
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{
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"dataset": "DexManiTac",
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"layout": "DexManiTac/<task>.zarr.zip",
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"compression": "ZIP_STORED",
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"archives": [
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{
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"task": "inhand_relocation",
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"archive": "inhand_relocation.zarr.zip",
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"files": 6900,
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"source_bytes": 3496444241,
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"archive_bytes": 3497859925
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},
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{
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"task": "pull_bottle",
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"archive": "pull_bottle.zarr.zip",
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"files": 2650,
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"source_bytes": 1198355561,
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"archive_bytes": 1198850521
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},
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{
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"task": "stamp",
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"archive": "stamp.zarr.zip",
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"files": 3692,
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"source_bytes": 1765625358,
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"archive_bytes": 1766271918
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},
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{
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"task": "wipe_board",
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"archive": "wipe_board.zarr.zip",
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"files": 1740,
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"source_bytes": 964319110,
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"archive_bytes": 964640762
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},
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{
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"task": "wipe_board_simple_pregrasp",
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"archive": "wipe_board_simple_pregrasp.zarr.zip",
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"files": 2434,
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"source_bytes": 1142926748,
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"archive_bytes": 1143454402
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}
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]
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}
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DexManiTac/metadata.json
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{
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"name": "DexManiTac",
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"url": [
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"https://huggingface.co/datasets/xinpan/DexManiTac"
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],
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"version": "1.0.0",
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"description": "FR3 gripper manipulation trajectories with synchronized D435 main-view RGB, D405 wrist RGB, Xense vision-based tactile images, dense force fields, and force resultants.",
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"type": "gripper",
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"sensor_image": [
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"Xense"
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],
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"sensor_array": [
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"Xense"
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],
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"sensor_state": [
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"Xense"
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],
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"task": 5,
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"trajectory": 337,
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"frame": 29802,
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"contact": [
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"mengxinpan2024@ia.ac.cn"
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],
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"reference": {
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"paper": "",
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"website": "",
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"authors": ""
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},
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"code_trigger": "DexManiTac"
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}
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DexManiTac/pull_bottle.zarr.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f8af5cbfb219848af74b34b2f2f31796426341e78d960a3c9d7f6f17ee97a48
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size 1198850521
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DexManiTac/stamp.zarr.zip
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version https://git-lfs.github.com/spec/v1
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size 1766271918
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DexManiTac/wipe_board.zarr.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c52138a5aefe0e8d98df2269505019da2bbef0219b2727770caf9aa832d1838
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size 964640762
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DexManiTac/wipe_board_simple_pregrasp.zarr.zip
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version https://git-lfs.github.com/spec/v1
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size 1143454402
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