Update dataset card for LeRobot release
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README.md
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pretty_name: OpenViTac Benchmark Dataset
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tags:
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- robotics
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- visuo-tactile manipulation
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# OpenViTac Benchmark Dataset
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OpenViTac is a visuo-tactile robot manipulation benchmark covering physical-property perception, fragile-object handling, contact-rich manipulation, and precise insertion. This release contains **1,
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For the benchmark and data-collection details, see the [paper](https://arxiv.org/abs/2610.10384v1) and [code repository](https://github.com/FVL-Repo/OpenViTac).
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## Simulation tasks
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Each task is
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| Capability | Task directory | Task summary |
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| Physical-property perception | `weight_classify` | Identify whether a block is light or heavy through interaction and place it on the matching target. | 100 |
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| Physical-property perception | `hardness_classify` | Identify whether a block is soft or hard through contact and place it on the matching target. | 100 |
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| Precision manipulation | `insert_block_v1` | Align and insert a designated block into the matching opening. | 100 |
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| Precision manipulation | `insert_block_v2` | Select the instructed object, then insert it into the matching opening. | 300 |
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## Real-world tasks
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---
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pretty_name: OpenViTac Benchmark Dataset
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license: apache-2.0
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tags:
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- robotics
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- visuo-tactile manipulation
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# OpenViTac Benchmark Dataset
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OpenViTac is a visuo-tactile robot manipulation benchmark covering physical-property perception, fragile-object handling, contact-rich manipulation, and precise insertion. This release contains **1,500 simulated episodes in LeRobot v2.1 format** across 11 tasks: 1,300 with GelSight mini and 100 each with Neote and Xense for `insert_USB`.
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For the benchmark and data-collection details, see the [paper](https://arxiv.org/abs/2610.10384v1) and [code repository](https://github.com/FVL-Repo/OpenViTac).
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## Simulation tasks
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Each `Simulation/<sensor>/<task>/` directory is a separate LeRobot dataset. Its `meta/` directory contains episode metadata, `data/chunk-000/` contains one Parquet file per episode, and `videos/chunk-000/` contains the corresponding camera and tactile videos. GelSight mini data is under `Simulation/GelSight_mini/`.
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| Capability | Task directory | Task summary | Episodes |
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| --- | --- | --- | ---: |
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| Physical-property perception | `weight_classify` | Identify whether a block is light or heavy through interaction and place it on the matching target. | 100 |
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| Physical-property perception | `hardness_classify` | Identify whether a block is soft or hard through contact and place it on the matching target. | 100 |
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| Precision manipulation | `insert_block_v1` | Align and insert a designated block into the matching opening. | 100 |
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| Precision manipulation | `insert_block_v2` | Select the instructed object, then insert it into the matching opening. | 300 |
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The `insert_USB` task also includes Neote and Xense tactile sensor data, with 100 episodes each in `Simulation/Neote/insert_USB/` and `Simulation/Xense/insert_USB/`.
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## Real-world tasks
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