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Datasets:
WeiChow
/
VLATrainingDataset

Tasks:
Robotics
Reinforcement Learning
Languages:
English
Size:
1M<n<10M
Tags:
Robotics
License:
Dataset card Files Community
VLATrainingDataset / README.md
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metadata
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.)

cd <PATH TO BASE DATASETS DIR>
huggingface-cli download WeiChow/VLATrainingDataset --include <THE DATASET NAME>/* --local-dir . --local-dir-use-symlinks False

prepare by yourself

The code modified from rlds_dataset_mod

We upload the precessed dataset in this repository ❤

below is the code for processing ⚙

prepare gsutil 
# 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

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