(1) Conda Env
conda create -n seer python=3.10
conda activate seer
(2) CALVIN
Exact instructions on CALVIN.
git clone --recurse-submodules https://github.com/mees/calvin.git
export CALVIN_ROOT=$(pwd)/calvin
cd $CALVIN_ROOT
sh install.sh
(3) Dataset Download
We only download CALVIN ABC-D.
cd $CALVIN_ROOT/dataset
sh download_data.sh ABC
(4) Third Party Packages
cd ${YOUR_PATH_TO_SEER}
pip install -r requirements.txt
pip install torch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 --index-url https://download.pytorch.org/whl/cu121
(5) Create a soft link to CALVIN
cd ${YOUR_PATH_TO_SEER}
ln -s $CALVIN_ROOT calvin
(6) Copy the index file except_lang_idx.npy to the CALVIN ABC-D training data directory.
cp -r data_info/except_lang_idx/except_lang_idx.npy calvin/dataset/task_ABC_D/training