{ "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 }