add data preview and environment set-up notebook
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buzz-lightsnack-2007
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preparation.ipynb
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preparation.ipynb
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# An Evaluation on the Effectiveness of Large Language Models in Self-Detection"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"This paper seeks to investigate and evaluate the self-detection abilities of language learning models through its architecture and its execution performance. This Jupyter notebook, in particular, will contain experimental data to evaluate the said performance. \n",
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"\n",
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"This notebook contains scripts needed for configuring the testing environment and does not perform the tests itself. This would be done in notebooks within the `tests/` directory. "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Dependencies"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"This section is where the dependencies required for all tests will be installed. For all or most tests, the following are needed: \n",
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"- gpt4all\n",
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"- kaggle\n",
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"- kagglehub\n",
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"- pandas"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"vscode": {
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"languageId": "shellscript"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: pip in /home/codespace/.python/current/lib/python3.12/site-packages (from -r dependencies.txt (line 1)) (24.2)\n",
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"Requirement already satisfied: kaggle in /home/codespace/.python/current/lib/python3.12/site-packages (from -r dependencies.txt (line 2)) (1.6.17)\n",
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"Requirement already satisfied: kagglehub in /home/codespace/.python/current/lib/python3.12/site-packages (from -r dependencies.txt (line 3)) (0.2.9)\n",
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"Requirement already satisfied: gpt4all in /home/codespace/.python/current/lib/python3.12/site-packages (from -r dependencies.txt (line 4)) (2.8.2)\n",
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"Requirement already satisfied: pandas in /home/codespace/.local/lib/python3.12/site-packages (from -r dependencies.txt (line 5)) (2.2.2)\n",
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"Requirement already satisfied: six>=1.10 in /home/codespace/.local/lib/python3.12/site-packages (from kaggle->-r dependencies.txt (line 2)) (1.16.0)\n",
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"Requirement already satisfied: certifi>=2023.7.22 in /home/codespace/.local/lib/python3.12/site-packages (from kaggle->-r dependencies.txt (line 2)) (2024.7.4)\n",
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"Requirement already satisfied: python-dateutil in /home/codespace/.local/lib/python3.12/site-packages (from kaggle->-r dependencies.txt (line 2)) (2.9.0.post0)\n",
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"Requirement already satisfied: requests in /home/codespace/.local/lib/python3.12/site-packages (from kaggle->-r dependencies.txt (line 2)) (2.32.3)\n",
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"Requirement already satisfied: tqdm in /home/codespace/.python/current/lib/python3.12/site-packages (from kaggle->-r dependencies.txt (line 2)) (4.66.5)\n",
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"Requirement already satisfied: python-slugify in /home/codespace/.python/current/lib/python3.12/site-packages (from kaggle->-r dependencies.txt (line 2)) (8.0.4)\n",
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"Requirement already satisfied: urllib3 in /home/codespace/.local/lib/python3.12/site-packages (from kaggle->-r dependencies.txt (line 2)) (2.2.2)\n",
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"Requirement already satisfied: bleach in /home/codespace/.local/lib/python3.12/site-packages (from kaggle->-r dependencies.txt (line 2)) (6.1.0)\n",
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"Requirement already satisfied: packaging in /home/codespace/.local/lib/python3.12/site-packages (from kagglehub->-r dependencies.txt (line 3)) (24.1)\n",
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"Requirement already satisfied: numpy>=1.26.0 in /home/codespace/.local/lib/python3.12/site-packages (from pandas->-r dependencies.txt (line 5)) (2.0.1)\n",
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"Requirement already satisfied: pytz>=2020.1 in /home/codespace/.local/lib/python3.12/site-packages (from pandas->-r dependencies.txt (line 5)) (2024.1)\n",
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"Requirement already satisfied: tzdata>=2022.7 in /home/codespace/.local/lib/python3.12/site-packages (from pandas->-r dependencies.txt (line 5)) (2024.1)\n",
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"Requirement already satisfied: webencodings in /home/codespace/.local/lib/python3.12/site-packages (from bleach->kaggle->-r dependencies.txt (line 2)) (0.5.1)\n",
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"Requirement already satisfied: text-unidecode>=1.3 in /home/codespace/.python/current/lib/python3.12/site-packages (from python-slugify->kaggle->-r dependencies.txt (line 2)) (1.3)\n",
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"Requirement already satisfied: charset-normalizer<4,>=2 in /home/codespace/.local/lib/python3.12/site-packages (from requests->kaggle->-r dependencies.txt (line 2)) (3.3.2)\n",
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"Requirement already satisfied: idna<4,>=2.5 in /home/codespace/.local/lib/python3.12/site-packages (from requests->kaggle->-r dependencies.txt (line 2)) (3.7)\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"source": [
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"pip install --upgrade -r dependencies.txt"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Data Fetch"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"For this study, the dataset from [Thite (2023)](https://www.kaggle.com/datasets/sunilthite/llm-detect-ai-generated-text-dataset) will be employed due to its sufficient size and technical limitations. "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The code block below imports all the modules needed for this section. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import kagglehub\n",
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"import json\n",
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"import os\n",
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"import pandas"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The code below sets up a reference to the files. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"FILES = {\"datasets\": {}, \"models\": {}};"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Attempting to download Training_Essay_Data.csv from dataset sunilthite/llm-detect-ai-generated-text-dataset/versions/1\n",
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"Finished downloading Training_Essay_Data.csv from dataset sunilthite/llm-detect-ai-generated-text-dataset/versions/1\n",
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"The file Training_Essay_Data.csv from dataset sunilthite/llm-detect-ai-generated-text-dataset/versions/1 has been linked.\n"
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]
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}
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],
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"source": [
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"def download_datasets(): \n",
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" # Read the dataset listings. \n",
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" SOURCES = json.load(open(\"data/sources.json\"));\n",
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"\n",
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" # Loop through each dataset target.\n",
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" for TARGET in SOURCES.keys(): \n",
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" print((\"Attempting to download \" + TARGET + \" from dataset \" + SOURCES[TARGET]));\n",
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" \n",
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" # Set the location of the Kaggle dataset. \n",
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" kagglehub.dataset_download(SOURCES[TARGET]);\n",
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" \n",
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" # Do not continue when an error has occured. \n",
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" print((\"Finished downloading \" + TARGET + \" from dataset \" + SOURCES[TARGET]));\n",
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"\n",
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" # Link each file.\n",
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" if (not(os.path.isfile((\"data/\" + TARGET))) and os.system((\"ln -s ~/.cache/kagglehub/datasets/\" + SOURCES[TARGET] + \"/\" + TARGET + \" data/\" + TARGET))): \n",
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" print((\"We weren’t able to link the file \" + TARGET + \" from dataset \" + SOURCES[TARGET] + \". Please perform this manually.\"));\n",
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" else: \n",
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" print((\"The file \" + TARGET + \" from dataset \" + SOURCES[TARGET] + \" has been linked.\"));\n",
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" FILES[\"datasets\"][TARGET] = open(\"data/\" + TARGET)\n",
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"\n",
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"download_datasets();"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Below, the code blocks are converted into dataframes for preview purposes. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"DATAFRAMES = {};\n",
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"\n",
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"def convert_datasets(): \n",
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" if len(FILES[\"datasets\"].keys()): \n",
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" for DATASET_NAME in FILES[\"datasets\"].keys(): \n",
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" DATAFRAMES[DATASET_NAME] = pandas.read_csv(FILES[\"datasets\"][DATASET_NAME])\n",
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"\n",
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"convert_datasets();"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The datasets could be previewed below. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Training_Essay_Data.csv\n",
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" text generated\n",
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"0 Car-free cities have become a subject of incre... 1\n",
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"1 Car Free Cities Car-free cities, a concept ga... 1\n",
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"2 A Sustainable Urban Future Car-free cities ... 1\n",
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"3 Pioneering Sustainable Urban Living In an e... 1\n",
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"4 The Path to Sustainable Urban Living In an ... 1\n",
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"... ... ...\n",
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"29140 There has been a fuss about the Elector Colleg... 0\n",
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"29141 Limiting car usage has many advantages. Such a... 0\n",
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"29142 There's a new trend that has been developing f... 0\n",
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"29143 As we all know cars are a big part of our soci... 0\n",
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"29144 Cars have been around since the 1800's and hav... 0\n",
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"\n",
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"[29145 rows x 2 columns]\n"
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]
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}
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],
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"source": [
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"def convert_datasets(): \n",
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" if len(DATAFRAMES.keys()): \n",
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" for DATASET_NAME in DATAFRAMES.keys(): \n",
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" print(DATASET_NAME);\n",
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" print(DATAFRAMES[DATASET_NAME]);\n",
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"\n",
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"convert_datasets();"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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