curl -o liver.data 'https://archive.ics.uci.edu/ml/machine-learning-databases/00225/Indian%20Liver%20Patient%20Dataset%20(ILPD).csv'
sort -R liver.data > liver.data.shuf

if [[ "$CUTOFF" != "0" ]]; then
  cut_train=$(( 60 * CUTOFF / 100 ))
  cut_test=$(( 20 * CUTOFF / 100 ))
  cut_dev=$(( CUTOFF - cut_train - cut_test ))

  head -n $cut_train liver.data.shuf > liver.data.train
  head -n $(( cut_train + cut_dev )) liver.data.shuf | tail -n $cut_dev > liver.data.dev
  tail -n +$(( cut_train + cut_dev + 1 )) liver.data.shuf | head -n $cut_test > liver.data.test
else
  head -n 120 liver.data.shuf > liver.data.test
  head -n 240 liver.data.shuf | tail -n 120 > liver.data.dev
  tail -n +241 liver.data.shuf > liver.data.train
fi

rm liver.data liver.data.shuf