{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generating train split: 0 examples [00:00, ? examples/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generating train split: 0 examples [00:00, ? examples/s]\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "Instruction \"train\" corresponds to no data!",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[10], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdatasets\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m load_dataset\n\u001b[0;32m----> 3\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;43mtablesense.py\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msplit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mall\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;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~/Documents/GitHub/tablesense/venv/lib/python3.13/site-packages/datasets/load.py:2166\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, keep_in_memory, save_infos, revision, token, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)\u001b[0m\n\u001b[1;32m   2162\u001b[0m \u001b[38;5;66;03m# Build dataset for splits\u001b[39;00m\n\u001b[1;32m   2163\u001b[0m keep_in_memory \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m   2164\u001b[0m     keep_in_memory \u001b[38;5;28;01mif\u001b[39;00m keep_in_memory \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m is_small_dataset(builder_instance\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39mdataset_size)\n\u001b[1;32m   2165\u001b[0m )\n\u001b[0;32m-> 2166\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[43mbuilder_instance\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mas_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[43msplit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverification_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mverification_mode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43min_memory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkeep_in_memory\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2167\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m save_infos:\n\u001b[1;32m   2168\u001b[0m     builder_instance\u001b[38;5;241m.\u001b[39m_save_infos()\n",
      "File \u001b[0;32m~/Documents/GitHub/tablesense/venv/lib/python3.13/site-packages/datasets/builder.py:1126\u001b[0m, in \u001b[0;36mDatasetBuilder.as_dataset\u001b[0;34m(self, split, run_post_process, verification_mode, in_memory)\u001b[0m\n\u001b[1;32m   1123\u001b[0m verification_mode \u001b[38;5;241m=\u001b[39m VerificationMode(verification_mode \u001b[38;5;129;01mor\u001b[39;00m VerificationMode\u001b[38;5;241m.\u001b[39mBASIC_CHECKS)\n\u001b[1;32m   1125\u001b[0m \u001b[38;5;66;03m# Create a dataset for each of the given splits\u001b[39;00m\n\u001b[0;32m-> 1126\u001b[0m datasets \u001b[38;5;241m=\u001b[39m \u001b[43mmap_nested\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1127\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpartial\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1128\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_build_single_dataset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1129\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrun_post_process\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_post_process\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1130\u001b[0m \u001b[43m        \u001b[49m\u001b[43mverification_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mverification_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1131\u001b[0m \u001b[43m        \u001b[49m\u001b[43min_memory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43min_memory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1132\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1133\u001b[0m \u001b[43m    \u001b[49m\u001b[43msplit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1134\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmap_tuple\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[1;32m   1135\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdisable_tqdm\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[1;32m   1136\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1137\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(datasets, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m   1138\u001b[0m     datasets \u001b[38;5;241m=\u001b[39m DatasetDict(datasets)\n",
      "File \u001b[0;32m~/Documents/GitHub/tablesense/venv/lib/python3.13/site-packages/datasets/utils/py_utils.py:484\u001b[0m, in \u001b[0;36mmap_nested\u001b[0;34m(function, data_struct, dict_only, map_list, map_tuple, map_numpy, num_proc, parallel_min_length, batched, batch_size, types, disable_tqdm, desc)\u001b[0m\n\u001b[1;32m    482\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m batched:\n\u001b[1;32m    483\u001b[0m     data_struct \u001b[38;5;241m=\u001b[39m [data_struct]\n\u001b[0;32m--> 484\u001b[0m mapped \u001b[38;5;241m=\u001b[39m \u001b[43mfunction\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata_struct\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    485\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m batched:\n\u001b[1;32m    486\u001b[0m     mapped \u001b[38;5;241m=\u001b[39m mapped[\u001b[38;5;241m0\u001b[39m]\n",
      "File \u001b[0;32m~/Documents/GitHub/tablesense/venv/lib/python3.13/site-packages/datasets/builder.py:1156\u001b[0m, in \u001b[0;36mDatasetBuilder._build_single_dataset\u001b[0;34m(self, split, run_post_process, verification_mode, in_memory)\u001b[0m\n\u001b[1;32m   1153\u001b[0m     split \u001b[38;5;241m=\u001b[39m Split(split)\n\u001b[1;32m   1155\u001b[0m \u001b[38;5;66;03m# Build base dataset\u001b[39;00m\n\u001b[0;32m-> 1156\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_as_dataset\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1157\u001b[0m \u001b[43m    \u001b[49m\u001b[43msplit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1158\u001b[0m \u001b[43m    \u001b[49m\u001b[43min_memory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43min_memory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1159\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1160\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m run_post_process:\n\u001b[1;32m   1161\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m resource_file_name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_post_processing_resources(split)\u001b[38;5;241m.\u001b[39mvalues():\n",
      "File \u001b[0;32m~/Documents/GitHub/tablesense/venv/lib/python3.13/site-packages/datasets/builder.py:1230\u001b[0m, in \u001b[0;36mDatasetBuilder._as_dataset\u001b[0;34m(self, split, in_memory)\u001b[0m\n\u001b[1;32m   1228\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_legacy_cache():\n\u001b[1;32m   1229\u001b[0m     dataset_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname\n\u001b[0;32m-> 1230\u001b[0m dataset_kwargs \u001b[38;5;241m=\u001b[39m \u001b[43mArrowReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minfo\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1231\u001b[0m \u001b[43m    \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdataset_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1232\u001b[0m \u001b[43m    \u001b[49m\u001b[43minstructions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1233\u001b[0m \u001b[43m    \u001b[49m\u001b[43msplit_infos\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minfo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplits\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1234\u001b[0m \u001b[43m    \u001b[49m\u001b[43min_memory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43min_memory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1235\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1236\u001b[0m fingerprint \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_dataset_fingerprint(split)\n\u001b[1;32m   1237\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m Dataset(fingerprint\u001b[38;5;241m=\u001b[39mfingerprint, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mdataset_kwargs)\n",
      "File \u001b[0;32m~/Documents/GitHub/tablesense/venv/lib/python3.13/site-packages/datasets/arrow_reader.py:251\u001b[0m, in \u001b[0;36mBaseReader.read\u001b[0;34m(self, name, instructions, split_infos, in_memory)\u001b[0m\n\u001b[1;32m    249\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m files:\n\u001b[1;32m    250\u001b[0m     msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mInstruction \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00minstructions\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m corresponds to no data!\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m--> 251\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(msg)\n\u001b[1;32m    252\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mread_files(files\u001b[38;5;241m=\u001b[39mfiles, original_instructions\u001b[38;5;241m=\u001b[39minstructions, in_memory\u001b[38;5;241m=\u001b[39min_memory)\n",
      "\u001b[0;31mValueError\u001b[0m: Instruction \"train\" corresponds to no data!"
     ]
    }
   ],
   "source": [
    "from datasets import load_dataset\n",
    "\n",
    "dataset = load_dataset(\"tablesense.py\", split=\"all\", trust_remote_code=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'filepath': '/Users/kylel1/Documents/GitHub/tablesense/data/VEnron2_VEnron2_493_1_legalreviewUS.xlsx',\n",
       " 'sheet_name': 'LONGS',\n",
       " 'split': 'training_set',\n",
       " 'table_regions': [{'start_col': 'A',\n",
       "   'start_row': 1,\n",
       "   'end_col': 'AB',\n",
       "   'end_row': 14}]}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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