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docs(install): imrpove groot and libero installation instructions (#2314)
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docs/source/groot.mdx

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@@ -40,7 +40,7 @@ python -c "import flash_attn; print(f'Flash Attention {flash_attn.__version__} i
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3. Install LeRobot by running:
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```bash
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pip install lerobot[groot] # consider also installing libero,dev and test tags
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pip install lerobot[groot]
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```
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## Usage
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### Libero Benchmark Results
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> [!NOTE]
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> Follow our instructions for Libero usage: [Libero](./libero)
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GR00T has demonstrated strong performance on the Libero benchmark suite. To compare and test its LeRobot implementation, we finetuned the GR00T N1.5 model for 30k steps on the Libero dataset and compared the results to the GR00T reference results.
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| Benchmark | LeRobot Implementation | GR00T Reference |

docs/source/libero.mdx

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To Install LIBERO, after following LeRobot official instructions, just do:
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`pip install -e ".[libero]"`
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> [!NOTE]
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> For lerobot 0.4.0, if you want to install libero tag, you will have to do: `pip install "lerobot[libero]@git+https://github.com/huggingface/lerobot.git"`.
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>
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> This will be solved in the next patch release
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### Single-suite evaluation
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Evaluate a policy on one LIBERO suite:

docs/source/pi0.mdx

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pip install -e ".[pi]"
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```
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> [!NOTE]
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> For lerobot 0.4.0, if you want to install pi tag, you will have to do: `pip install "lerobot[pi]@git+https://github.com/huggingface/lerobot.git"`.
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>
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> This will be solved in the next patch release
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## Training Data and Capabilities
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π₀ is trained on the largest robot interaction dataset to date, combining three key data sources:

docs/source/pi05.mdx

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pip install -e ".[pi]"
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```
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> [!NOTE]
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> For lerobot 0.4.0, if you want to install pi tag, you will have to do: `pip install "lerobot[pi]@git+https://github.com/huggingface/lerobot.git"`.
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>
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> This will be solved in the next patch release
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## Usage
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To use π₀.₅ in your LeRobot configuration, specify the policy type as:

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