generate_datasets.sh

#!/bin/bash

DATA_DIR=$1
DISP=False

echo "Generating dataset... Folder: $DATA_DIR"

# You can parallelize these depending on how much resources you have

#############################
## Language-Conditioned Tasks

LANG_TASKS='align-rope assembling-kits-seq-seen-colors assembling-kits-seq-unseen-colors packing-shapes packing-boxes-pairs-seen-colors packing-boxes-pairs-unseen-colors packing-seen-google-objects-seq packing-unseen-google-objects-seq packing-seen-google-objects-group packing-unseen-google-objects-group put-block-in-bowl-seen-colors put-block-in-bowl-unseen-colors stack-block-pyramid-seq-seen-colors stack-block-pyramid-seq-unseen-colors separating-piles-seen-colors separating-piles-unseen-colors towers-of-hanoi-seq-seen-colors towers-of-hanoi-seq-unseen-colors'

for task in $LANG_TASKS
    do
        python cliport/demos.py n=1000 task=$task mode=train data_dir=$DATA_DIR disp=$DISP &
        python cliport/demos.py n=100  task=$task mode=val   data_dir=$DATA_DIR disp=$DISP &
        python cliport/demos.py n=100  task=$task mode=test  data_dir=$DATA_DIR disp=$DISP
    done
echo "Finished Language Tasks."


#########################
## Demo-Conditioned Tasks

DEMO_TASKS='align-box-corner assembling-kits block-insertion manipulating-rope packing-boxes palletizing-boxes place-red-in-green stack-block-pyramid sweeping-piles towers-of-hanoi'

for task in $DEMO_TASKS
    do
        python cliport/demos.py n=1000 task=$task mode=train data_dir=$DATA_DIR disp=$DISP &
        python cliport/demos.py n=100  task=$task mode=val   data_dir=$DATA_DIR disp=$DISP &
        python cliport/demos.py n=100  task=$task mode=test  data_dir=$DATA_DIR disp=$DISP
    done
echo "Finished Demo Tasks."