Added dataset download script
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@ -12,3 +12,5 @@ ipython_config.py
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# Remove previous ipynb_checkpoints
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# git rm -r .ipynb_checkpoints/
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data/
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57
download_dataset.sh
Normal file
57
download_dataset.sh
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@ -0,0 +1,57 @@
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# ratios as percentages
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train_percent=80
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dev_percent=10
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test_percent=10
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split_dataset() {
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# shuffling the dataset, excluding the first line which describes the columns
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shuffled_file=$1.shuf
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header=$(head -n 1 $1)
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tail -n +2 $1 | shuf > $shuffled_file
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# getting line count so we can split the datasets:
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lines=$( wc -l $shuffled_file | cut -d ' ' -f 1 )
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get_line_count_for() {
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echo $(($lines * $1 / 100))
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}
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train_lines=$( get_line_count_for $train_percent )
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dev_lines=$( get_line_count_for $dev_percent )
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test_lines=$( get_line_count_for $test_percent )
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# first line has to be the header
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init_file() {
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echo $header > $1
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}
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init_file $1.test
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init_file $1.dev
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init_file $1.train
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head -n $test_lines $shuffled_file >> $1.test
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head -n $(($test_lines + $dev_lines)) $shuffled_file | tail -n $test_lines >> $1.dev
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tail -n +$(($test_lines + $dev_lines + 1)) $shuffled_file >> $1.train
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rm $shuffled_file
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}
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mkdir data
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cd data
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echo "Downloading dataset from Kaggle..."
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kaggle datasets download -d anikannal/solar-power-generation-data
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echo "Done."
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echo "Unzipping archive"
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files=$(unzip solar-power-generation-data.zip | tail -n +2 | cut -d ' ' -f 4)
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echo "Done."
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echo "Splitting datasets"
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echo "Using ratio (train:dev:test) $train_percent:$dev_percent:$test_percent"
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for file in $files; do
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split_dataset $file
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done
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echo "Done! Files are inside ./data folder"
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