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Update README.md

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@@ -14,6 +14,14 @@ size_categories:
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  # Open X-Embodiment Dataset (unofficial)
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  RLDS dataset for train vla
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  The code modified from [rlds_dataset_mod](https://github.com/moojink/rlds_dataset_mod/blob/main/README.md)
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  We upload the precessed dataset in this repository ❤
@@ -21,7 +29,7 @@ We upload the precessed dataset in this repository ❤
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  below is the code for processing ⚙
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- ### prepare gsutil
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  ```shell
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  # https://cloud.google.com/sdk/docs/install-sdk?hl=zh-cn#linux
@@ -35,7 +43,7 @@ export PATH=$PATH:/path/to/google-cloud-sdk/bin
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  ls ./google-cloud-sdk/bin/gsutil
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  ```
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- ### prepare environment
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  ```
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  conda env create -f environment_ubuntu.yml
 
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  # Open X-Embodiment Dataset (unofficial)
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  RLDS dataset for train vla
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+ ### use this dataset
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+ download the dataset by hf: (`<THE DATASET NAME>` can be `bridge_orig, dorid,fmb,...etc.`)
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+ ```shell
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+ cd <PATH TO BASE DATASETS DIR>
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+ huggingface-cli download WeiChow/VLATrainingDataset --include <THE DATASET NAME>/* --local-dir . --local-dir-use-symlinks False
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+ ```
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+
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+ ### prepare by yourself
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  The code modified from [rlds_dataset_mod](https://github.com/moojink/rlds_dataset_mod/blob/main/README.md)
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  We upload the precessed dataset in this repository ❤
 
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  below is the code for processing ⚙
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+ ##### prepare gsutil
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  ```shell
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  # https://cloud.google.com/sdk/docs/install-sdk?hl=zh-cn#linux
 
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  ls ./google-cloud-sdk/bin/gsutil
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  ```
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+ ##### prepare environment
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  ```
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  conda env create -f environment_ubuntu.yml