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README.md
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# Datacard
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This is the official fine-tuning dataset provided by VLABench, with 500 episodes each task. The current version includes 10 primitive tasks.
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## Uses
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Download all archive files and use the following command to extract:
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```sh
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cat rdt_data.tar.gz.* | tar -xzvf -
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```
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# Datacard
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This is the official fine-tuning dataset provided by VLABench, with 500 episodes each task. The current version includes 10 primitive tasks.
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## Source
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- Project Page: [https://vlabench.github.io/](https://vlabench.github.io/)
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- Arxiv Paper: [https://arxiv.org/abs/2412.18194](https://arxiv.org/abs/2412.18194)
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- Code: [https://github.com/OpenMOSS/VLABench](https://github.com/OpenMOSS/VLABench)
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## Uses
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Download all archive files and use the following command to extract:
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```sh
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cat rdt_data.tar.gz.* | tar -xzvf -
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```
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In the resulting `VLABench_release` folder, there will be two folders: `primitive`(release now) and `composite`(under management).
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In `primitive` folder, there are ten sub-folders and the dataset HDF5 files can be listed as:
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```
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VLABench_release
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βββ primitive
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βββ add_condiment
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βββ episode_0.hdf5
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...
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βββ insert_flower
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βββ episode_0.hdf5
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...
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βββ select_book
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βββ ...
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βββ select_chemistry_tube
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βββ ...
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βββ select_drink
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βββ ...
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βββ select_fruit
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βββ ...
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βββ select_mahjong
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βββ ...
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βββ select_painting
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βββ ...
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βββ select_poker
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βββ ...
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βββ select_toy
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βββ ...
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```
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An example of the single episode data is:
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```
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data
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2025-02-23 20:46:40
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instruction
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(1,) |S38
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['Please put the striped_10 in any hole.']
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meta_info
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entities
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(6,) |S15
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['billiards_table', 'striped_10', 'striped_14', 'striped_11', 'striped_12', 'solid_1']
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episode_config
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() | S1879
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target_entity
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(1,) |S10
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['striped_10']
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observation
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depth
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(212, 4, 480, 480) float32
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ee_state
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(212, 8) float32
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point_cloud_colors
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(212, 11905, 3) float32
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point_cloud_points
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(212, 11905, 3) float32
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q_acceleration
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(212, 7, 1) float32
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q_state
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(212, 7, 1) float32
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q_velocity
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(212, 7, 1) float32
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rgb
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(212, 4, 480, 480, 3) uint8
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robot_mask
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(212, 4, 480, 480) float32
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trajectory
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(212, 8) float32
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```
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## Citation
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If you find our work helps,please cite us:
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```
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@misc{zhang2024vlabench,
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title={VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks},
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author={Shiduo Zhang and Zhe Xu and Peiju Liu and Xiaopeng Yu and Yuan Li and Qinghui Gao and Zhaoye Fei and Zhangyue Yin and Zuxuan Wu and Yu-Gang Jiang and Xipeng Qiu},
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year={2024},
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eprint={2412.18194},
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archivePrefix={arXiv},
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primaryClass={cs.RO},
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url={https://arxiv.org/abs/2412.18194},
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}
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```
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