{
 "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"
   ]
  }
 ],
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