Datasets:
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K<n<10K
Tags:
natural-language-understanding
ideology classification
text classification
natural language processing
License:
File size: 25,116 Bytes
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{
"cells": [
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"import datasets"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading builder script: 100%|██████████| 10.1k/10.1k [00:00<00:00, 9.99MB/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"https://huggingface.co/datasets/steamcyclone/Pill_Ideologies-Post_Titles/raw/main/reddit_posts_fm.csv\n",
"C:\\Users\\ericr\\.cache\\huggingface\\datasets\\downloads\\0d4d993845dca9fad020a0cdc59de50781db2df85a57686ea495bc3a11e12dd8 <class 'datasets.utils.track.tracked_str'> checking type\n",
"no Error post pandas read csv\n",
"splits complete with scikit learn\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Generating train split: 0 examples [00:00, ? examples/s]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"inside generate examples\n",
"train is the split\n",
"(4499, 8) is the filepath\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n"
]
},
{
"ename": "DatasetGenerationError",
"evalue": "An error occurred while generating the dataset",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
"File \u001b[1;32mc:\\Users\\ericr\\miniconda3\\envs\\sta663C\\Lib\\site-packages\\datasets\\builder.py:1726\u001b[0m, in \u001b[0;36mGeneratorBasedBuilder._prepare_split_single\u001b[1;34m(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id)\u001b[0m\n\u001b[0;32m 1725\u001b[0m _time \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[1;32m-> 1726\u001b[0m \u001b[43m\u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrecord\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mgenerator\u001b[49m\u001b[43m:\u001b[49m\n\u001b[0;32m 1727\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mmax_shard_size\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mand\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mwriter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_num_bytes\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m>\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mmax_shard_size\u001b[49m\u001b[43m:\u001b[49m\n",
"\u001b[1;31mTypeError\u001b[0m: 'NoneType' object is not iterable",
"\nThe above exception was the direct cause of the following exception:\n",
"\u001b[1;31mDatasetGenerationError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[32], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m test \u001b[38;5;241m=\u001b[39m \u001b[43mdatasets\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msteamcyclone/Pill_Ideologies-Post_Titles\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[1;32mc:\\Users\\ericr\\miniconda3\\envs\\sta663C\\Lib\\site-packages\\datasets\\load.py:2549\u001b[0m, in \u001b[0;36mload_dataset\u001b[1;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[0;32m 2546\u001b[0m try_from_hf_gcs \u001b[38;5;241m=\u001b[39m path \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m _PACKAGED_DATASETS_MODULES\n\u001b[0;32m 2548\u001b[0m \u001b[38;5;66;03m# Download and prepare data\u001b[39;00m\n\u001b[1;32m-> 2549\u001b[0m \u001b[43mbuilder_instance\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdownload_and_prepare\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2550\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[0;32m 2551\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[0;32m 2552\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[0;32m 2553\u001b[0m \u001b[43m \u001b[49m\u001b[43mtry_from_hf_gcs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtry_from_hf_gcs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2554\u001b[0m \u001b[43m \u001b[49m\u001b[43mnum_proc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_proc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2555\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[0;32m 2556\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2558\u001b[0m \u001b[38;5;66;03m# Build dataset for splits\u001b[39;00m\n\u001b[0;32m 2559\u001b[0m keep_in_memory \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m 2560\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[0;32m 2561\u001b[0m )\n",
"File \u001b[1;32mc:\\Users\\ericr\\miniconda3\\envs\\sta663C\\Lib\\site-packages\\datasets\\builder.py:1005\u001b[0m, in \u001b[0;36mDatasetBuilder.download_and_prepare\u001b[1;34m(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)\u001b[0m\n\u001b[0;32m 1003\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m num_proc \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[0;32m 1004\u001b[0m prepare_split_kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnum_proc\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m num_proc\n\u001b[1;32m-> 1005\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_download_and_prepare\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1006\u001b[0m \u001b[43m \u001b[49m\u001b[43mdl_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdl_manager\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1007\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[0;32m 1008\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mprepare_split_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1009\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdownload_and_prepare_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1010\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1011\u001b[0m \u001b[38;5;66;03m# Sync info\u001b[39;00m\n\u001b[0;32m 1012\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39mdataset_size \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(split\u001b[38;5;241m.\u001b[39mnum_bytes \u001b[38;5;28;01mfor\u001b[39;00m split \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39msplits\u001b[38;5;241m.\u001b[39mvalues())\n",
"File \u001b[1;32mc:\\Users\\ericr\\miniconda3\\envs\\sta663C\\Lib\\site-packages\\datasets\\builder.py:1767\u001b[0m, in \u001b[0;36mGeneratorBasedBuilder._download_and_prepare\u001b[1;34m(self, dl_manager, verification_mode, **prepare_splits_kwargs)\u001b[0m\n\u001b[0;32m 1766\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_download_and_prepare\u001b[39m(\u001b[38;5;28mself\u001b[39m, dl_manager, verification_mode, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mprepare_splits_kwargs):\n\u001b[1;32m-> 1767\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_download_and_prepare\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1768\u001b[0m \u001b[43m \u001b[49m\u001b[43mdl_manager\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1769\u001b[0m \u001b[43m \u001b[49m\u001b[43mverification_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1770\u001b[0m \u001b[43m \u001b[49m\u001b[43mcheck_duplicate_keys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mverification_mode\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m==\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mVerificationMode\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mBASIC_CHECKS\u001b[49m\n\u001b[0;32m 1771\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mverification_mode\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m==\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mVerificationMode\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mALL_CHECKS\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1772\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mprepare_splits_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1773\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[1;32mc:\\Users\\ericr\\miniconda3\\envs\\sta663C\\Lib\\site-packages\\datasets\\builder.py:1100\u001b[0m, in \u001b[0;36mDatasetBuilder._download_and_prepare\u001b[1;34m(self, dl_manager, verification_mode, **prepare_split_kwargs)\u001b[0m\n\u001b[0;32m 1096\u001b[0m split_dict\u001b[38;5;241m.\u001b[39madd(split_generator\u001b[38;5;241m.\u001b[39msplit_info)\n\u001b[0;32m 1098\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 1099\u001b[0m \u001b[38;5;66;03m# Prepare split will record examples associated to the split\u001b[39;00m\n\u001b[1;32m-> 1100\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_prepare_split\u001b[49m\u001b[43m(\u001b[49m\u001b[43msplit_generator\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mprepare_split_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1101\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 1102\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m(\n\u001b[0;32m 1103\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot find data file. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 1104\u001b[0m \u001b[38;5;241m+\u001b[39m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmanual_download_instructions \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 1105\u001b[0m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mOriginal error:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 1106\u001b[0m \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mstr\u001b[39m(e)\n\u001b[0;32m 1107\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n",
"File \u001b[1;32mc:\\Users\\ericr\\miniconda3\\envs\\sta663C\\Lib\\site-packages\\datasets\\builder.py:1605\u001b[0m, in \u001b[0;36mGeneratorBasedBuilder._prepare_split\u001b[1;34m(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)\u001b[0m\n\u001b[0;32m 1603\u001b[0m job_id \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m 1604\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m pbar:\n\u001b[1;32m-> 1605\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mjob_id\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdone\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontent\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_prepare_split_single\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1606\u001b[0m \u001b[43m \u001b[49m\u001b[43mgen_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgen_kwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mjob_id\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m_prepare_split_args\u001b[49m\n\u001b[0;32m 1607\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[0;32m 1608\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdone\u001b[49m\u001b[43m:\u001b[49m\n\u001b[0;32m 1609\u001b[0m \u001b[43m \u001b[49m\u001b[43mresult\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mcontent\u001b[49m\n",
"File \u001b[1;32mc:\\Users\\ericr\\miniconda3\\envs\\sta663C\\Lib\\site-packages\\datasets\\builder.py:1762\u001b[0m, in \u001b[0;36mGeneratorBasedBuilder._prepare_split_single\u001b[1;34m(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id)\u001b[0m\n\u001b[0;32m 1760\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(e, SchemaInferenceError) \u001b[38;5;129;01mand\u001b[39;00m e\u001b[38;5;241m.\u001b[39m__context__ \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[0;32m 1761\u001b[0m e \u001b[38;5;241m=\u001b[39m e\u001b[38;5;241m.\u001b[39m__context__\n\u001b[1;32m-> 1762\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m DatasetGenerationError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAn error occurred while generating the dataset\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[0;32m 1764\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m job_id, \u001b[38;5;28;01mTrue\u001b[39;00m, (total_num_examples, total_num_bytes, writer\u001b[38;5;241m.\u001b[39m_features, num_shards, shard_lengths)\n",
"\u001b[1;31mDatasetGenerationError\u001b[0m: An error occurred while generating the dataset"
]
}
],
"source": [
"\n",
"\n",
"test = datasets.load_dataset(\"steamcyclone/Pill_Ideologies-Post_Titles\", trust_remote_code=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(r'C:\\Users\\ericr\\Documents\\STA663Repo\\Hugginface\\Pill-Ideologies-New-Test\\reddit_posts_fm.csv')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>subreddit</th>\n",
" <th>id</th>\n",
" <th>title</th>\n",
" <th>text</th>\n",
" <th>url</th>\n",
" <th>score</th>\n",
" <th>author</th>\n",
" <th>date</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>theredpillrebooted</td>\n",
" <td>17c1wxt</td>\n",
" <td>My name is Benjamin Persits and I am so sick o...</td>\n",
" <td>Yes, I'm using my full name because I'm so sic...</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>benjypersits</td>\n",
" <td>2023-10-20 03:40:33</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>theredpillrebooted</td>\n",
" <td>16i06xc</td>\n",
" <td>WHAT THE FUCK!?!?!?!?</td>\n",
" <td>NaN</td>\n",
" <td>https://v.redd.it/8d1eapsih3ob1</td>\n",
" <td>0</td>\n",
" <td>PatchesTheIdiot</td>\n",
" <td>2023-09-13 21:57:56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>theredpillrebooted</td>\n",
" <td>16a4ekb</td>\n",
" <td>Why is she an asshole with me and how to handl...</td>\n",
" <td>So I got this girl who's kinda my crush but I ...</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>Worried-Horse-3408</td>\n",
" <td>2023-09-04 21:19:27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>theredpillrebooted</td>\n",
" <td>15f45sl</td>\n",
" <td>Popular US vlogger Gonzalo Lira aka Coach Red ...</td>\n",
" <td>&amp;#x200B;\\n\\n[https://chng.it/gFyFvqS5K7](h...</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>Beautiful_Diamond980</td>\n",
" <td>2023-08-01 06:21:36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>theredpillrebooted</td>\n",
" <td>12wwyzc</td>\n",
" <td>Mrs. Rooster by Stinky Buckets</td>\n",
" <td>NaN</td>\n",
" <td>https://youtube.com/watch?v=jK5BQngWne4&amp;fe...</td>\n",
" <td>1</td>\n",
" <td>LetsGoRedDevils</td>\n",
" <td>2023-04-24 00:50:48</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" subreddit id \\\n",
"0 theredpillrebooted 17c1wxt \n",
"1 theredpillrebooted 16i06xc \n",
"2 theredpillrebooted 16a4ekb \n",
"3 theredpillrebooted 15f45sl \n",
"4 theredpillrebooted 12wwyzc \n",
"\n",
" title \\\n",
"0 My name is Benjamin Persits and I am so sick o... \n",
"1 WHAT THE FUCK!?!?!?!? \n",
"2 Why is she an asshole with me and how to handl... \n",
"3 Popular US vlogger Gonzalo Lira aka Coach Red ... \n",
"4 Mrs. Rooster by Stinky Buckets \n",
"\n",
" text \\\n",
"0 Yes, I'm using my full name because I'm so sic... \n",
"1 NaN \n",
"2 So I got this girl who's kinda my crush but I ... \n",
"3 &#x200B;\\n\\n[https://chng.it/gFyFvqS5K7](h... \n",
"4 NaN \n",
"\n",
" url score \\\n",
"0 NaN 0 \n",
"1 https://v.redd.it/8d1eapsih3ob1 0 \n",
"2 NaN 0 \n",
"3 NaN 0 \n",
"4 https://youtube.com/watch?v=jK5BQngWne4&fe... 1 \n",
"\n",
" author date \n",
"0 benjypersits 2023-10-20 03:40:33 \n",
"1 PatchesTheIdiot 2023-09-13 21:57:56 \n",
"2 Worried-Horse-3408 2023-09-04 21:19:27 \n",
"3 Beautiful_Diamond980 2023-08-01 06:21:36 \n",
"4 LetsGoRedDevils 2023-04-24 00:50:48 "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"((4499, 8), (1125, 8), (625, 8))"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# make stratified train, validation, and test sets\n",
"\n",
"from sklearn.model_selection import train_test_split\n",
"\n",
"train, test = train_test_split(df, test_size=0.10, stratify=df['subreddit'], random_state=42)\n",
"train, val = train_test_split(train, test_size=0.20, stratify=train['subreddit'], random_state=42)\n",
"\n",
"train.shape, val.shape, test.shape"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['theredpillrebooted', '17c1wxt',\n",
" 'My name is Benjamin Persits and I am so sick of women.',\n",
" 'Yes, I\\'m using my full name because I\\'m so sick off all of this. The women in my dorm have become so obnoxious. They are so fucking annoying. I try to talk to any of them and it\\'s all \"sexual harassment\" and all that. I saw a cute girl by my dorm room sink the other day and we started talking. She wanders off and I walk after her while we chat. All of a sudden this is sexual harassment. Or when girls come on to me and when I lean in to kiss they don\\'t want to all of a sudden. Absolutely ridiculous. I\\'m not going to be quiet about feeling this way anymore. I\\'m sick of dealing with women, in my classes, anywhere. I\\'m so done. ',\n",
" nan, 0, 'benjypersits', '2023-10-20 03:40:33'], dtype=object)"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"next(df.iterrows())[1].values"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<generator object DataFrame.iterrows at 0x000001A84F706F00>"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.iterrows()"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"stop = 10\n",
"\n",
"for key, row in df.iterrows():\n",
" # print(row.values)\n",
" print(row.get('subreddit'))\n",
" stop -= 1\n",
" if stop == 0:\n",
" break"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "sta663C",
"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": "3.11.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|