{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/misikoff/opt/anaconda3/envs/sta663/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "# !pip install datasets\n",
    "\n",
    "from datasets import load_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading builder script: 100%|██████████| 18.5k/18.5k [00:00<00:00, 11.3MB/s]\n",
      "Downloading data: 100%|██████████| 20.4M/20.4M [00:00<00:00, 33.6MB/s]\n",
      "Generating train split: 96012 examples [00:02, 46188.04 examples/s]\n",
      "Generating validation split: 96012 examples [00:02, 47013.79 examples/s]\n",
      "Generating test split: 96012 examples [00:02, 46947.45 examples/s]\n"
     ]
    }
   ],
   "source": [
    "configs = [\"home_value_forecasts\", \"new_constructions\", \"for_sale_listings\", \"rentals\"]\n",
    "\n",
    "dataset = load_dataset(\"misikoff/zillow\", \"rentals\", trust_remote_code=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Region ID': '102001',\n",
       " 'Size Rank': 0,\n",
       " 'Region': 'United States',\n",
       " 'Region Type': 'country',\n",
       " 'State': None,\n",
       " 'Home Type': 'SFR',\n",
       " 'Date': '2018-01-31',\n",
       " 'Sale Price': 309000.0,\n",
       " 'Sale Price per Sqft': 137.41232299804688,\n",
       " 'Count': 33940}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(iter((dataset[\"train\"])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "gen = iter((dataset[\"train\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Region ID': '102001',\n",
       " 'Size Rank': 0,\n",
       " 'Region': 'United States',\n",
       " 'Region Type': 'country',\n",
       " 'State': None,\n",
       " 'Home Type': 'condo/co-op only',\n",
       " 'Date': '2018-03-31',\n",
       " 'Sale Price': 386700.0,\n",
       " 'Sale Price per Sqft': 238.31776428222656,\n",
       " 'Count': 4267}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(gen)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sta663",
   "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": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}