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Add paper and code links to dataset card

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This PR adds the paper link and the official GitHub repository link to the dataset card, making it easier for users to find the relevant publication and code.

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  1. README.md +8 -5
README.md CHANGED
@@ -1,19 +1,19 @@
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  ---
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- pretty_name: RoboCombine Dataset
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- license: cc-by-4.0
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  language:
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  - en
 
 
 
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  task_categories:
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  - robotics
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  - reinforcement-learning
 
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  tags:
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  - robot-manipulation
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  - compositional-generalization
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  - vision-language-action
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  - benchmark
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  - simulation
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- size_categories:
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- - n<1K
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  configs:
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  - config_name: default
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  data_files:
@@ -23,6 +23,9 @@ configs:
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  # RoboCombine Dataset
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  RoboCombine is a compositional robot-manipulation dataset release. The Dataset
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  Viewer split is backed by `data/RoboCombine_episodes.parquet`, an episode-level
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  manifest with 950 rows for 19 tasks x 50 episodes.
@@ -55,4 +58,4 @@ The dataset contents in this repository, including the episode manifest,
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  metadata, and release archives, are released under `CC-BY-4.0`. Code shipped
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  inside the evaluation archive retains its own bundled `MIT` license notice.
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  Third-party assets, simulators, checkpoints, and interfaces referenced by the
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- release archives remain subject to their original upstream licenses.
 
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  ---
 
 
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  language:
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  - en
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+ license: cc-by-4.0
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+ size_categories:
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+ - n<1K
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  task_categories:
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  - robotics
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  - reinforcement-learning
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+ pretty_name: RoboCombine Dataset
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  tags:
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  - robot-manipulation
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  - compositional-generalization
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  - vision-language-action
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  - benchmark
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  - simulation
 
 
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  configs:
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  - config_name: default
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  data_files:
 
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  # RoboCombine Dataset
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+ **Paper:** [Exploring the Limits of Combinatorial Generalization in Embodied Manipulation](https://huggingface.co/papers/2610.15425)
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+ **Code:** [https://github.com/AutoLab-SAI-SJTU/RoboCombine](https://github.com/AutoLab-SAI-SJTU/RoboCombine)
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+
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  RoboCombine is a compositional robot-manipulation dataset release. The Dataset
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  Viewer split is backed by `data/RoboCombine_episodes.parquet`, an episode-level
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  manifest with 950 rows for 19 tasks x 50 episodes.
 
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  metadata, and release archives, are released under `CC-BY-4.0`. Code shipped
59
  inside the evaluation archive retains its own bundled `MIT` license notice.
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  Third-party assets, simulators, checkpoints, and interfaces referenced by the
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+ release archives remain subject to their original upstream licenses.