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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "829546d1-7922-472d-94dc-f1f8c3a973dd",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#dependencies\n",
"!pip install datasets\n",
"!pip install tqdm"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b5829cbc-ff56-435a-a3c8-afdb19f4cfa7",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from datasets import load_dataset\n",
"from tqdm import tqdm\n",
"\n",
"dataset = load_dataset('anuragshas/lv_opus100_processed', split='train')\n",
"\n",
"with open('opus100.txt', 'w') as file:\n",
" for entry in tqdm(dataset): \n",
" file.write(f'{entry[\"text\"]}\\n')\n",
" file.close()\n",
"\n",
"print('Done') "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b87ada0a-8ced-46a5-a7b5-46d7bb52c9b3",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "venv",
"language": "python",
"name": "venv"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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