README.md

---
license: cc-by-4.0
task_categories:
- robotics
- reinforcement-learning
language:
- en
tags:
- Robotics
pretty_name: Open X-Embodiment Dataset
size_categories:
- 1M<n<10M
---
# Open X-Embodiment Dataset (unofficial)
RLDS dataset for train vla

### use this dataset
download the dataset by hf: (`<THE DATASET NAME>` can be `bridge_orig, dorid,fmb,...etc.`)
```shell
cd <PATH TO BASE DATASETS DIR>
huggingface-cli download WeiChow/VLATrainingDataset --include <THE DATASET NAME>/* --local-dir . --local-dir-use-symlinks False --repo-type dataset
```

### prepare by yourself
The code modified from [rlds_dataset_mod](https://github.com/moojink/rlds_dataset_mod/blob/main/README.md)

We upload the precessed dataset in this repository ❤

below is the code for processing ⚙


##### prepare gsutil

```shell
# https://cloud.google.com/sdk/docs/install-sdk?hl=zh-cn#linux
curl -O https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-cli-linux-x86_64.tar.gz
tar -xf google-cloud-cli-linux-x86_64.tar.gz
./google-cloud-sdk/install.sh
./google-cloud-sdk/bin/gcloud init --console-only
./google-cloud-sdk/bin/gcloud components install gsutil
# check gsutil
export PATH=$PATH:/path/to/google-cloud-sdk/bin
ls ./google-cloud-sdk/bin/gsutil
```

##### prepare environment

```
conda env create -f environment_ubuntu.yml
conda activate rlds
mkdir data_download
mkdir data_tmp
```

All the rights are reserved.