create_semisupervised.sh

# Create semi-supervised subsets
for seed in 0 1 2 3 4 5; do
    for size in 10 20 30 40 100 250 1000 4000; do
        python3 scripts/create_split.py --seed=$seed --size=$size $ML_DATA/SSL2/svhn $ML_DATA/svhn-train.tfrecord $ML_DATA/svhn-extra.tfrecord &
        python3 scripts/create_split.py --seed=$seed --size=$size $ML_DATA/SSL2/svhn_noextra $ML_DATA/svhn-train.tfrecord &
        python3 scripts/create_split.py --seed=$seed --size=$size $ML_DATA/SSL2/cifar10 $ML_DATA/cifar10-train.tfrecord &
    done
    for size in 400 1000 2500 10000; do
        python3 scripts/create_split.py --seed=$seed --size=$size $ML_DATA/SSL2/cifar100 $ML_DATA/cifar100-train.tfrecord &
    done
    python3 scripts/create_split.py --seed=$seed --size=1000 $ML_DATA/SSL2/stl10 $ML_DATA/stl10-train.tfrecord $ML_DATA/stl10-unlabeled.tfrecord &
    wait
done
python3 scripts/create_split.py --seed=1 --size=5000 $ML_DATA/SSL2/stl10 $ML_DATA/stl10-train.tfrecord $ML_DATA/stl10-unlabeled.tfrecord