Upload dataclass_code.ipynb

01 Codes/dataclass_code.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datasets import load_dataset\n",
+    "\n",
+    "dataset = load_dataset(\"divyasharma0795/AppleVisionPro_Tweets\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "HuggingFaceDataset(id=1769458624638619691, tweetText=\"Mordecai I can't sell nft for 10 dollars, how does this nft business work? #bloodbath #AppleVisionPro #DeadpoolAndWolverine #RegularShow @JGQuintel link: https://t.co/Bq3dzV4wgR https://t.co/rbrerIFcIs\", tweetURL='https://twitter.com/harndefty/status/1769458624638619691', tweetAuthor='Harndefty 🐔🍗', handle='@harndefty', replyCount=0, quoteCount=0, retweetCount=0, likeCount=0, views='26', bookmarkCount=0, createdAt='2024-03-17 13:19:45')\n"
+     ]
+    }
+   ],
+   "source": [
+    "from dataclasses import dataclass\n",
+    "from typing import List\n",
+    "from datasets import load_dataset\n",
+    "\n",
+    "\n",
+    "@dataclass\n",
+    "class HuggingFaceDataset:\n",
+    "    id: int\n",
+    "    tweetText: str\n",
+    "    tweetURL: str\n",
+    "    tweetAuthor: str\n",
+    "    handle: str\n",
+    "    replyCount: int\n",
+    "    quoteCount: int\n",
+    "    retweetCount: int\n",
+    "    likeCount: int\n",
+    "    views: int\n",
+    "    bookmarkCount: int\n",
+    "    createdAt: str\n",
+    "\n",
+    "\n",
+    "def load_custom_dataset(dataset_name):\n",
+    "    dataset = load_dataset(dataset_name)\n",
+    "\n",
+    "    # Extract relevant information and create a list of HuggingFaceDataset instances\n",
+    "    custom_dataset = [\n",
+    "        HuggingFaceDataset(\n",
+    "            id=row[\"id\"],\n",
+    "            tweetText=row[\"tweetText\"],\n",
+    "            tweetURL=row[\"tweetURL\"],\n",
+    "            tweetAuthor=row[\"tweetAuthor\"],\n",
+    "            handle=row[\"handle\"],\n",
+    "            replyCount=row[\"replyCount\"],\n",
+    "            quoteCount=row[\"quoteCount\"],\n",
+    "            retweetCount=row[\"retweetCount\"],\n",
+    "            likeCount=row[\"likeCount\"],\n",
+    "            views=row[\"views\"],\n",
+    "            bookmarkCount=row[\"bookmarkCount\"],\n",
+    "            createdAt=row[\"createdAt\"],\n",
+    "        )\n",
+    "        for row in dataset[\"train\"]\n",
+    "    ]\n",
+    "\n",
+    "    return custom_dataset\n",
+    "\n",
+    "\n",
+    "# Usage\n",
+    "custom_dataset = load_custom_dataset(\"divyasharma0795/AppleVisionPro_Tweets\")\n",
+    "print(custom_dataset[0])  # Print the first instance"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}