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README.md
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---
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language: en
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tags:
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- robotics
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- grasping
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- dual-arm
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- SE(3) x SE(3)
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- point-cloud
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- physics
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- dual-arm grasping
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license: apache-2.0
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datasets:
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- dg16m-grasps
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size_categories:
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- 10K<n<100K
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---
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This is the dataset used in the paper, "<a href="https://arxiv.org/pdf/2509.21145">DAGDiff: Guiding Dual-Arm Grasp Diffusion to Stable and Collision-Free Grasps</a>".
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<a href="https://dag-diff.github.io/dagdiff/">[Project Page]</a> <span> <a href="https://arxiv.org/abs/2509.21145">[arXiv]</a> <span> <a href="https://github.com/DAG-Diff/dual-arm-grasp-diffusion">[Github]</a>
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Each object in the dataset includes:
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- 3D mesh representations of the object
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- Signed distance field (SDF) data
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- Dual-arm grasp annotations (both positive and negative examples)
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- Split files for training and evaluation (e.g., `train_final.txt`, `test_final.txt`)
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## Dataset Structure
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```
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dagdiff-dataset
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├── train_final.txt
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├── test_final.txt
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├── grasps/
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│ ├── 554fa306799d623af7248d9dbed7a7b8.h5
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│ ├── c2ad96f56ec726d270a43c2d978e502e.h5
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│ ├── ....
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├── meshes/
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│ ├── 554fa306799d623af7248d9dbed7a7b8.obj
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│ ├── c2ad96f56ec726d270a43c2d978e502e.obj
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│ ├── ....
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└── sdf/
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├── 554fa306799d623af7248d9dbed7a7b8.h5
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├── c2ad96f56ec726d270a43c2d978e502e.h5
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└── ....
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```
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