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Add link to paper and GitHub repository

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Hi, I'm Niels from the Hugging Face community science team. This PR improves the dataset card by:
- Linking it to the paper: [TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning](https://huggingface.co/papers/2605.07943).
- Adding a link to the official GitHub repository.
- Specifying the `robotics` task category in the metadata.

Files changed (1) hide show
  1. README.md +11 -5
README.md CHANGED
@@ -1,10 +1,12 @@
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  ---
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  license: mit
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- tags:
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- - robotics
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- - imitation-learning
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- - simulation-assets
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  pretty_name: TAVIS Robot and Task Assets
 
 
 
 
 
 
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  ---
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  # TAVIS robot and task assets
@@ -14,6 +16,10 @@ articulations (Fourier GR1T2, Pollen Reachy 2, Robotiq 2F-85
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  grippers) and the task assets (YCB objects, packing table) used by
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  the eight TAVIS tasks.
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  This bundle is fetched at runtime by
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  [`tavis.download_assets`](https://huggingface.co/tavis-benchmark)
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  on the first construction of a `make_tavis_env(...)` environment.
@@ -28,4 +34,4 @@ The asset bundle's version is tracked separately from the code
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  ## Licensing & attribution
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  See `CREDITS.md` for per-asset attribution. All third-party content
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- is redistributed under the original upstream licenses.
 
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  ---
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  license: mit
 
 
 
 
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  pretty_name: TAVIS Robot and Task Assets
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+ task_categories:
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+ - robotics
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+ tags:
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+ - robotics
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+ - imitation-learning
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+ - simulation-assets
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  ---
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  # TAVIS robot and task assets
 
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  grippers) and the task assets (YCB objects, packing table) used by
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  the eight TAVIS tasks.
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+ This dataset is associated with the paper [TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning](https://huggingface.co/papers/2605.07943).
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+
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+ **Code:** [https://github.com/spiglerg/tavis](https://github.com/spiglerg/tavis)
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+
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  This bundle is fetched at runtime by
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  [`tavis.download_assets`](https://huggingface.co/tavis-benchmark)
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  on the first construction of a `make_tavis_env(...)` environment.
 
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  ## Licensing & attribution
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  See `CREDITS.md` for per-asset attribution. All third-party content
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+ is redistributed under the original upstream licenses.