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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(14,\n",
" ['sukanta.txt',\n",
" 'jatindramohan.txt',\n",
" 'sukumar.txt',\n",
" 'ishwarchandragupta.txt',\n",
" 'test.txt',\n",
" 'data_prep.ipynb',\n",
" 'train.txt',\n",
" 'madhusudan.txt',\n",
" 'satyendranath.txt',\n",
" 'rabindranath.txt',\n",
" 'jibanananda.txt',\n",
" '.ipynb_checkpoints',\n",
" 'nazrulislam.txt',\n",
" 'kaminiroy.txt'])"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"files = os.listdir('.')\n",
"len(files), files"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(['sukanta.txt',\n",
" 'jatindramohan.txt',\n",
" 'sukumar.txt',\n",
" 'ishwarchandragupta.txt',\n",
" 'madhusudan.txt',\n",
" 'satyendranath.txt',\n",
" 'rabindranath.txt',\n",
" 'jibanananda.txt',\n",
" 'nazrulislam.txt',\n",
" 'kaminiroy.txt'],\n",
" 10)"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"poems_files = files[0:4] + files[7:11] + files[12:14]\n",
"poems_files, len(poems_files)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"def open_files(dr):\n",
" return (open(file, 'r') for file in os.listdir(dr) if file in poems_files)"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
"sukanta, jm, sukumar, ishwarg, msd, satyen, rabi, jiban, nazrul, kamini = open_files('.')\n",
"poets = [sukanta, jm, sukumar, ishwarg, msd, satyen, rabi, jiban, nazrul, kamini]\n",
"\n",
"# for line in poets[0].readlines():\n",
"# print(line)\n",
"\n",
"for poet in poets:\n",
" counter = 0\n",
" lines = poet.readlines()\n",
" line_count = len(lines)\n",
" train_split_idx = int(line_count * 0.9)\n",
" for line in lines:\n",
" if counter <= train_split_idx:\n",
" with open(r'train.txt', 'a') as train_:\n",
" train_.writelines(line)\n",
" counter += 1\n",
" else:\n",
" with open(r'test.txt', 'a') as test_:\n",
" test_.writelines(line)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of lines in train file: 91263\n",
"Number of lines in test file: 10136\n"
]
}
],
"source": [
"with open(r'train.txt', 'r') as train:\n",
" train_line_count = len(train.readlines())\n",
" print(f'Number of lines in train file: {train_line_count}')\n",
" \n",
"with open(r'test.txt', 'r') as test:\n",
" test_line_count = len(test.readlines())\n",
" print(f'Number of lines in test file: {test_line_count}')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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