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{
"cells": [
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# !pip install datasets\n",
"# !huggingface-cli login"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# from datasets import load_dataset\n",
"# load_dataset(\"balochiml/balochi-language-data\", data_dir=\"data\", cache_dir=\"../data\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4294"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import os\n",
"\n",
"def get_txt_file_paths(directory):\n",
" txt_file_paths = []\n",
" for root, dirs, files in os.walk(directory):\n",
" for file in files:\n",
" if file.endswith(\".txt\"):\n",
" file_path = os.path.join(root, file)\n",
" txt_file_paths.append(file_path)\n",
" return txt_file_paths\n",
"\n",
"# Replace \"directory_path\" with the actual path of the directory you want to search\n",
"directory_path = \"../data/raw_text\"\n",
"txt_paths = get_txt_file_paths(directory_path)\n",
"\n",
"len(txt_paths)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "balochi",
"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": "3.10.11"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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