fix: update days on market data

processed/days_on_market/final.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc4cb57aeaef46572070e01871980ab0214c145047aa61e71cfa65e1d45a9367
-size 232501403
+oid sha256:1cf82e9ce68b4ebf991214a7de3fbc8f25de319da470741761d44d11d5cc89f3
+size 230154547

processors/days_on_market.ipynb

@@ -12,7 +12,7 @@
  },
  {
  "cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
  "metadata": {},
  "outputs": [],
  "source": [
@@ -25,7 +25,7 @@
  },
  {
  "cell_type": "code",
- "execution_count": 7,
+ "execution_count": 6,
  "metadata": {},
  "outputs": [
  {
@@ -322,7 +322,7 @@
  "[586714 rows x 13 columns]"
  ]
  },
- "execution_count": 7,
+ "execution_count": 6,
  "metadata": {},
  "output_type": "execute_result"
  }
@@ -365,6 +365,34 @@
  " return df\n",
  "\n",
  "\n",
+ "def get_combined_df(data_frames):\n",
+ " combined_df = None\n",
+ " if len(data_frames) > 1:\n",
+ " # iterate over dataframes and merge or concat\n",
+ " combined_df = data_frames[0]\n",
+ " for i in range(1, len(data_frames)):\n",
+ " cur_df = data_frames[i]\n",
+ " combined_df = pd.merge(\n",
+ " combined_df,\n",
+ " cur_df,\n",
+ " on=[\n",
+ " \"RegionID\",\n",
+ " \"SizeRank\",\n",
+ " \"RegionName\",\n",
+ " \"RegionType\",\n",
+ " \"StateName\",\n",
+ " \"Home Type\",\n",
+ " \"Date\",\n",
+ " ],\n",
+ " how=\"outer\",\n",
+ " suffixes=(\"\", \"_\" + str(i)),\n",
+ " )\n",
+ " elif len(data_frames) == 1:\n",
+ " combined_df = data_frames[0]\n",
+ "\n",
+ " return combined_df\n",
+ "\n",
+ "\n",
  "for filename in os.listdir(FULL_DATA_DIR_PATH):\n",
  " if filename.endswith(\".csv\"):\n",
  " # print(\"processing \" + filename)\n",
@@ -403,37 +431,8 @@
  " break\n",
  "\n",
  "\n",
- "def get_combined_df(data_frames):\n",
- " combined_df = None\n",
- " if len(data_frames) > 1:\n",
- " # iterate over dataframes and merge or concat\n",
- " combined_df = data_frames[0]\n",
- " for i in range(1, len(data_frames)):\n",
- " cur_df = data_frames[i]\n",
- " combined_df = pd.merge(\n",
- " combined_df,\n",
- " cur_df,\n",
- " on=[\n",
- " \"RegionID\",\n",
- " \"SizeRank\",\n",
- " \"RegionName\",\n",
- " \"RegionType\",\n",
- " \"StateName\",\n",
- " \"Home Type\",\n",
- " \"Date\",\n",
- " ],\n",
- " how=\"outer\",\n",
- " suffixes=(\"\", \"_\" + str(i)),\n",
- " )\n",
- " elif len(data_frames) == 1:\n",
- " combined_df = data_frames[0]\n",
- "\n",
- " return combined_df\n",
- "\n",
- "\n",
  "combined_df = get_combined_df(data_frames)\n",
  "\n",
- "# iterate over rows of combined df and coalesce column values across columns that start with \"Median Sale Price\"\n",
  "columns_to_coalesce = slug_column_mappings.values()\n",
  "print(columns_to_coalesce)\n",
  "\n",
@@ -452,7 +451,7 @@
  },
  {
  "cell_type": "code",
- "execution_count": 16,
+ "execution_count": 7,
  "metadata": {},
  "outputs": [
  {
@@ -480,7 +479,7 @@
  " <th>Size Rank</th>\n",
  " <th>Region</th>\n",
  " <th>Region Type</th>\n",
- " <th>StateName</th>\n",
+ " <th>State</th>\n",
  " <th>Home Type</th>\n",
  " <th>Date</th>\n",
  " <th>Mean Listings Price Cut Amount (Smoothed)</th>\n",
@@ -674,18 +673,18 @@
  "</div>"
  ],
  "text/plain": [
- " Region ID Size Rank Region Region Type StateName \\\n",
- "0 102001 0 United States country NaN \n",
- "1 102001 0 United States country NaN \n",
- "2 102001 0 United States country NaN \n",
- "3 102001 0 United States country NaN \n",
- "4 102001 0 United States country NaN \n",
- "... ... ... ... ... ... \n",
- "586709 845172 769 Winfield, KS msa KS \n",
- "586710 845172 769 Winfield, KS msa KS \n",
- "586711 845172 769 Winfield, KS msa KS \n",
- "586712 845172 769 Winfield, KS msa KS \n",
- "586713 845172 769 Winfield, KS msa KS \n",
+ " Region ID Size Rank Region Region Type State \\\n",
+ "0 102001 0 United States country NaN \n",
+ "1 102001 0 United States country NaN \n",
+ "2 102001 0 United States country NaN \n",
+ "3 102001 0 United States country NaN \n",
+ "4 102001 0 United States country NaN \n",
+ "... ... ... ... ... ... \n",
+ "586709 845172 769 Winfield, KS msa KS \n",
+ "586710 845172 769 Winfield, KS msa KS \n",
+ "586711 845172 769 Winfield, KS msa KS \n",
+ "586712 845172 769 Winfield, KS msa KS \n",
+ "586713 845172 769 Winfield, KS msa KS \n",
  "\n",
  " Home Type Date \\\n",
  "0 SFR 2018-01-06 \n",
@@ -742,7 +741,7 @@
  "[586714 rows x 13 columns]"
  ]
  },
- "execution_count": 16,
+ "execution_count": 7,
  "metadata": {},
  "output_type": "execute_result"
  }
@@ -755,6 +754,7 @@
  " \"SizeRank\": \"Size Rank\",\n",
  " \"RegionName\": \"Region\",\n",
  " \"RegionType\": \"Region Type\",\n",
+ " \"StateName\": \"State\",\n",
  " }\n",
  ")\n",
  "\n",
@@ -763,7 +763,7 @@
  },
  {
  "cell_type": "code",
- "execution_count": 15,
+ "execution_count": 8,
  "metadata": {},
  "outputs": [],
  "source": [

tester.ipynb

@@ -13,45 +13,40 @@
  },
  {
  "cell_type": "code",
- "execution_count": 11,
+ "execution_count": 14,
  "metadata": {},
  "outputs": [
  {
  "name": "stdout",
  "output_type": "stream",
  "text": [
- "home_value_forecasts\n",
- "new_constructions\n",
- "for_sale_listings\n",
- "rentals\n",
- "sales\n",
- "home_values\n"
+ "days_on_market\n"
  ]
  },
  {
- "ename": "ValueError",
- "evalue": "BuilderConfig 'home_values' not found. Available: ['home_value_forecasts', 'new_constructions', 'for_sale_listings', 'rentals', 'sales']",
+ "ename": "UnboundLocalError",
+ "evalue": "cannot access local variable 'features' where it is not associated with a value",
  "output_type": "error",
  "traceback": [
  "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
- "Cell \u001b[0;32mIn[11], line 12\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m config \u001b[38;5;129;01min\u001b[39;00m configs:\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28mprint\u001b[39m(config)\n\u001b[0;32m---> 12\u001b[0m dataset \u001b[38;5;241m=\u001b[39m \u001b[43mload_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmisikoff/zillow\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrust_remote_code\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
+ "\u001b[0;31mUnboundLocalError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[14], line 12\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m config \u001b[38;5;129;01min\u001b[39;00m configs:\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28mprint\u001b[39m(config)\n\u001b[0;32m---> 12\u001b[0m dataset \u001b[38;5;241m=\u001b[39m \u001b[43mload_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmisikoff/zillow\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrust_remote_code\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
  "File \u001b[0;32m~/opt/anaconda3/envs/sta663/lib/python3.12/site-packages/datasets/load.py:2548\u001b[0m, in \u001b[0;36mload_dataset\u001b[0;34m(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)\u001b[0m\n\u001b[1;32m 2543\u001b[0m verification_mode \u001b[38;5;241m=\u001b[39m VerificationMode(\n\u001b[1;32m 2544\u001b[0m (verification_mode \u001b[38;5;129;01mor\u001b[39;00m VerificationMode\u001b[38;5;241m.\u001b[39mBASIC_CHECKS) \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m save_infos \u001b[38;5;28;01melse\u001b[39;00m VerificationMode\u001b[38;5;241m.\u001b[39mALL_CHECKS\n\u001b[1;32m 2545\u001b[0m )\n\u001b[1;32m 2547\u001b[0m \u001b[38;5;66;03m# Create a dataset builder\u001b[39;00m\n\u001b[0;32m-> 2548\u001b[0m builder_instance \u001b[38;5;241m=\u001b[39m \u001b[43mload_dataset_builder\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2549\u001b[0m \u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2550\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2551\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2552\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata_files\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata_files\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2553\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2554\u001b[0m \u001b[43m \u001b[49m\u001b[43mfeatures\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfeatures\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2555\u001b[0m \u001b[43m \u001b[49m\u001b[43mdownload_config\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdownload_config\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2556\u001b[0m \u001b[43m \u001b[49m\u001b[43mdownload_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdownload_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2557\u001b[0m \u001b[43m \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrevision\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2558\u001b[0m \u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2559\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstorage_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2560\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrust_remote_code\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtrust_remote_code\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2561\u001b[0m \u001b[43m \u001b[49m\u001b[43m_require_default_config_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 2562\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mconfig_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2563\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2565\u001b[0m \u001b[38;5;66;03m# Return iterable dataset in case of streaming\u001b[39;00m\n\u001b[1;32m 2566\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m streaming:\n",
  "File \u001b[0;32m~/opt/anaconda3/envs/sta663/lib/python3.12/site-packages/datasets/load.py:2257\u001b[0m, in \u001b[0;36mload_dataset_builder\u001b[0;34m(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, use_auth_token, storage_options, trust_remote_code, _require_default_config_name, **config_kwargs)\u001b[0m\n\u001b[1;32m 2255\u001b[0m builder_cls \u001b[38;5;241m=\u001b[39m get_dataset_builder_class(dataset_module, dataset_name\u001b[38;5;241m=\u001b[39mdataset_name)\n\u001b[1;32m 2256\u001b[0m \u001b[38;5;66;03m# Instantiate the dataset builder\u001b[39;00m\n\u001b[0;32m-> 2257\u001b[0m builder_instance: DatasetBuilder \u001b[38;5;241m=\u001b[39m \u001b[43mbuilder_cls\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2258\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2259\u001b[0m \u001b[43m \u001b[49m\u001b[43mdataset_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdataset_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2260\u001b[0m \u001b[43m \u001b[49m\u001b[43mconfig_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2261\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2262\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata_files\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata_files\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2263\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mhash\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdataset_module\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhash\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2264\u001b[0m \u001b[43m \u001b[49m\u001b[43minfo\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minfo\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2265\u001b[0m \u001b[43m \u001b[49m\u001b[43mfeatures\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfeatures\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2266\u001b[0m \u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2267\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstorage_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2268\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mbuilder_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2269\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mconfig_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2270\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2271\u001b[0m builder_instance\u001b[38;5;241m.\u001b[39m_use_legacy_cache_dir_if_possible(dataset_module)\n\u001b[1;32m 2273\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m builder_instance\n",
- "File \u001b[0;32m~/opt/anaconda3/envs/sta663/lib/python3.12/site-packages/datasets/builder.py:371\u001b[0m, in \u001b[0;36mDatasetBuilder.__init__\u001b[0;34m(self, cache_dir, dataset_name, config_name, hash, base_path, info, features, token, use_auth_token, repo_id, data_files, data_dir, storage_options, writer_batch_size, name, **config_kwargs)\u001b[0m\n\u001b[1;32m 369\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data_dir \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 370\u001b[0m config_kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdata_dir\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m data_dir\n\u001b[0;32m--> 371\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconfig, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconfig_id \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_create_builder_config\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 372\u001b[0m \u001b[43m \u001b[49m\u001b[43mconfig_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 373\u001b[0m \u001b[43m \u001b[49m\u001b[43mcustom_features\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfeatures\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 374\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mconfig_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 375\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 377\u001b[0m \u001b[38;5;66;03m# prepare info: DatasetInfo are a standardized dataclass across all datasets\u001b[39;00m\n\u001b[1;32m 378\u001b[0m \u001b[38;5;66;03m# Prefill datasetinfo\u001b[39;00m\n\u001b[1;32m 379\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m info \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 380\u001b[0m \u001b[38;5;66;03m# TODO FOR PACKAGED MODULES IT IMPORTS DATA FROM src/packaged_modules which doesn't make sense\u001b[39;00m\n",
- "File \u001b[0;32m~/opt/anaconda3/envs/sta663/lib/python3.12/site-packages/datasets/builder.py:592\u001b[0m, in \u001b[0;36mDatasetBuilder._create_builder_config\u001b[0;34m(self, config_name, custom_features, **config_kwargs)\u001b[0m\n\u001b[1;32m 590\u001b[0m builder_config \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbuilder_configs\u001b[38;5;241m.\u001b[39mget(config_name)\n\u001b[1;32m 591\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m builder_config \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mBUILDER_CONFIGS:\n\u001b[0;32m--> 592\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 593\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBuilderConfig \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mconfig_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m not found. Available: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbuilder_configs\u001b[38;5;241m.\u001b[39mkeys())\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 594\u001b[0m )\n\u001b[1;32m 596\u001b[0m \u001b[38;5;66;03m# if not using an existing config, then create a new config on the fly\u001b[39;00m\n\u001b[1;32m 597\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m builder_config:\n",
- "\u001b[0;31mValueError\u001b[0m: BuilderConfig 'home_values' not found. Available: ['home_value_forecasts', 'new_constructions', 'for_sale_listings', 'rentals', 'sales']"
+ "File \u001b[0;32m~/opt/anaconda3/envs/sta663/lib/python3.12/site-packages/datasets/builder.py:382\u001b[0m, in \u001b[0;36mDatasetBuilder.__init__\u001b[0;34m(self, cache_dir, dataset_name, config_name, hash, base_path, info, features, token, use_auth_token, repo_id, data_files, data_dir, storage_options, writer_batch_size, name, **config_kwargs)\u001b[0m\n\u001b[1;32m 379\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m info \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 380\u001b[0m \u001b[38;5;66;03m# TODO FOR PACKAGED MODULES IT IMPORTS DATA FROM src/packaged_modules which doesn't make sense\u001b[39;00m\n\u001b[1;32m 381\u001b[0m info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_exported_dataset_info()\n\u001b[0;32m--> 382\u001b[0m info\u001b[38;5;241m.\u001b[39mupdate(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 383\u001b[0m info\u001b[38;5;241m.\u001b[39mbuilder_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname\n\u001b[1;32m 384\u001b[0m info\u001b[38;5;241m.\u001b[39mdataset_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdataset_name\n",
+ "File \u001b[0;32m~/.cache/huggingface/modules/datasets_modules/datasets/misikoff--zillow/d642880e153f01354c57f69b68ea9e02d46260977e73b26b4c4853d95d4fccac/zillow.py:266\u001b[0m, in \u001b[0;36mNewDataset._info\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconfig\u001b[38;5;241m.\u001b[39mname \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhome_values\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 235\u001b[0m features \u001b[38;5;241m=\u001b[39m datasets\u001b[38;5;241m.\u001b[39mFeatures(\n\u001b[1;32m 236\u001b[0m {\n\u001b[1;32m 237\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRegion ID\u001b[39m\u001b[38;5;124m\"\u001b[39m: datasets\u001b[38;5;241m.\u001b[39mValue(dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstring\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mid\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRegion ID\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 260\u001b[0m }\n\u001b[1;32m 261\u001b[0m )\n\u001b[1;32m 262\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m datasets\u001b[38;5;241m.\u001b[39mDatasetInfo(\n\u001b[1;32m 263\u001b[0m \u001b[38;5;66;03m# This is the description that will appear on the datasets page.\u001b[39;00m\n\u001b[1;32m 264\u001b[0m description\u001b[38;5;241m=\u001b[39m_DESCRIPTION,\n\u001b[1;32m 265\u001b[0m \u001b[38;5;66;03m# This defines the different columns of the dataset and their types\u001b[39;00m\n\u001b[0;32m--> 266\u001b[0m features\u001b[38;5;241m=\u001b[39m\u001b[43mfeatures\u001b[49m, \u001b[38;5;66;03m# Here we define them above because they are different between the two configurations\u001b[39;00m\n\u001b[1;32m 267\u001b[0m \u001b[38;5;66;03m# If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and\u001b[39;00m\n\u001b[1;32m 268\u001b[0m \u001b[38;5;66;03m# specify them. They'll be used if as_supervised=True in builder.as_dataset.\u001b[39;00m\n\u001b[1;32m 269\u001b[0m \u001b[38;5;66;03m# supervised_keys=(\"sentence\", \"label\"),\u001b[39;00m\n\u001b[1;32m 270\u001b[0m \u001b[38;5;66;03m# Homepage of the dataset for documentation\u001b[39;00m\n\u001b[1;32m 271\u001b[0m homepage\u001b[38;5;241m=\u001b[39m_HOMEPAGE,\n\u001b[1;32m 272\u001b[0m \u001b[38;5;66;03m# License for the dataset if available\u001b[39;00m\n\u001b[1;32m 273\u001b[0m license\u001b[38;5;241m=\u001b[39m_LICENSE,\n\u001b[1;32m 274\u001b[0m \u001b[38;5;66;03m# Citation for the dataset\u001b[39;00m\n\u001b[1;32m 275\u001b[0m citation\u001b[38;5;241m=\u001b[39m_CITATION,\n\u001b[1;32m 276\u001b[0m )\n",
+ "\u001b[0;31mUnboundLocalError\u001b[0m: cannot access local variable 'features' where it is not associated with a value"
  ]
  }
  ],
  "source": [
  "configs = [\n",
- " \"home_value_forecasts\",\n",
- " \"new_constructions\",\n",
- " \"for_sale_listings\",\n",
- " \"rentals\",\n",
- " \"sales\",\n",
- " \"home_values\",\n",
+ " # \"home_value_forecasts\",\n",
+ " # \"new_constructions\",\n",
+ " # \"for_sale_listings\",\n",
+ " # \"rentals\",\n",
+ " # \"sales\",\n",
+ " # \"home_values\",\n",
  " \"days_on_market\",\n",
  "]\n",
  "for config in configs:\n",