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{
"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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