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DexManiTac/README.md ADDED
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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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+
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+ # DexManiTac Dataset
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+
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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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+
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+ Hugging Face: <https://huggingface.co/datasets/xinpan/DexManiTac>
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+
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+ ## Summary
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+
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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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+
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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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+
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+ ## Contents
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ ## Quality control
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+
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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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+
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+ ## Conventions
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+
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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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+
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+ ## License
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+
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+ License to be confirmed before public release.
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DexManiTac/metadata.json ADDED
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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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