{ "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 }