{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "49140416",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os,re\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "621c0c37",
   "metadata": {},
   "outputs": [],
   "source": [
    "prompts = pd.read_csv('shortprompts.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "27cf3f0e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "bc14f4b1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "5f2cb0c9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "f5e935fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['wife',\n",
       " 'construction worker',\n",
       " 'hostess',\n",
       " 'aerospace engineer',\n",
       " 'manicurist',\n",
       " 'designer',\n",
       " 'financial advisor',\n",
       " 'bus driver',\n",
       " 'financial analyst',\n",
       " 'butcher',\n",
       " 'cook',\n",
       " 'medical records specialist',\n",
       " 'baker',\n",
       " 'nursing assistant',\n",
       " 'machinist',\n",
       " 'uncle',\n",
       " 'interviewer',\n",
       " 'truck driver',\n",
       " 'supervisor',\n",
       " 'computer programmer',\n",
       " 'boyfriend',\n",
       " 'language pathologist',\n",
       " 'security guard',\n",
       " 'computer support specialist',\n",
       " 'paralegal',\n",
       " 'spouse',\n",
       " 'data entry keyer',\n",
       " 'wholesale buyer',\n",
       " 'accountant',\n",
       " 'stepmom',\n",
       " 'dental assistant',\n",
       " 'sister',\n",
       " 'insurance agent',\n",
       " 'logistician',\n",
       " 'partner',\n",
       " 'fitness instructor',\n",
       " 'welder',\n",
       " 'grandpa',\n",
       " 'painter',\n",
       " 'financial manager',\n",
       " 'carpet installer',\n",
       " 'physical therapist',\n",
       " 'market research analyst',\n",
       " 'ceo',\n",
       " 'singer',\n",
       " 'teller',\n",
       " 'stepsister',\n",
       " 'coach',\n",
       " 'receptionist',\n",
       " 'compliance officer',\n",
       " 'taxi driver',\n",
       " 'father-in-law',\n",
       " 'dental hygienist',\n",
       " 'maid',\n",
       " 'janitor',\n",
       " 'roofer',\n",
       " 'stepdad',\n",
       " 'best friend',\n",
       " 'father',\n",
       " 'sibling',\n",
       " 'husband',\n",
       " 'lawyer',\n",
       " 'occupational therapist',\n",
       " 'head cook',\n",
       " 'dispatcher',\n",
       " 'employer',\n",
       " 'cousin',\n",
       " 'office worker',\n",
       " 'graphic designer',\n",
       " 'girlfriend',\n",
       " 'mechanical engineer',\n",
       " 'marketing manager',\n",
       " 'health technician',\n",
       " 'mother',\n",
       " 'grandmother',\n",
       " 'plumber',\n",
       " 'colleague',\n",
       " 'cleaner',\n",
       " 'mover',\n",
       " 'correctional officer',\n",
       " 'stocker',\n",
       " 'underwriter',\n",
       " 'teaching assistant',\n",
       " 'radiologic technician',\n",
       " 'manager',\n",
       " 'teacher',\n",
       " 'bartender',\n",
       " 'payroll clerk',\n",
       " 'civil engineer',\n",
       " 'customer service representative',\n",
       " 'stepfather',\n",
       " 'electrician',\n",
       " 'architect',\n",
       " 'therapist',\n",
       " 'pharmacy technician',\n",
       " 'tutor',\n",
       " 'producer',\n",
       " 'repair worker',\n",
       " 'stepmother',\n",
       " 'executive assistant',\n",
       " 'groundskeeper',\n",
       " 'firefighter',\n",
       " 'sales manager',\n",
       " 'air conditioning installer',\n",
       " 'cashier',\n",
       " 'neighbor',\n",
       " 'dentist',\n",
       " 'scientist',\n",
       " 'engineer',\n",
       " 'childcare worker',\n",
       " 'police officer',\n",
       " 'mother-in-law',\n",
       " 'industrial engineer',\n",
       " 'clergy',\n",
       " 'parent',\n",
       " 'niece',\n",
       " 'office clerk',\n",
       " 'stepbrother',\n",
       " 'metal worker',\n",
       " 'writer',\n",
       " 'farmer',\n",
       " 'nurse',\n",
       " 'musician',\n",
       " 'public relations specialist',\n",
       " 'host',\n",
       " 'carpenter',\n",
       " 'career counselor',\n",
       " 'jailer',\n",
       " 'grandfather',\n",
       " 'librarian',\n",
       " 'network administrator',\n",
       " 'social assistant',\n",
       " 'credit counselor',\n",
       " 'pharmacist',\n",
       " 'employee',\n",
       " 'hairdresser',\n",
       " 'nephew',\n",
       " 'printing press operator',\n",
       " 'tractor operator',\n",
       " 'artist',\n",
       " 'dishwasher',\n",
       " 'director',\n",
       " 'postal worker',\n",
       " 'drywall installer',\n",
       " 'author',\n",
       " 'interior designer',\n",
       " 'grandma',\n",
       " 'pilot',\n",
       " 'aunt',\n",
       " 'claims appraiser',\n",
       " 'plane mechanic',\n",
       " 'fast food worker',\n",
       " 'machinery mechanic',\n",
       " 'school bus driver',\n",
       " 'mechanic',\n",
       " 'photographers',\n",
       " 'son',\n",
       " 'inventory clerk',\n",
       " 'detective',\n",
       " 'mental health counselor',\n",
       " 'software developer',\n",
       " 'it specialist',\n",
       " 'brother',\n",
       " 'real estate broker',\n",
       " 'courier',\n",
       " 'veterinarian',\n",
       " 'aide',\n",
       " 'clerk',\n",
       " 'psychologist',\n",
       " 'computer systems analyst',\n",
       " 'community manager',\n",
       " 'file clerk',\n",
       " 'massage therapist',\n",
       " 'daughter',\n",
       " 'sheet metal worker',\n",
       " 'purchasing agent',\n",
       " 'laboratory technician',\n",
       " 'waiter',\n",
       " 'dad',\n",
       " 'friend',\n",
       " 'facilities manager',\n",
       " 'waitress',\n",
       " 'doctor',\n",
       " 'social worker',\n",
       " 'salesperson',\n",
       " 'mom',\n",
       " 'electrical engineer']"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "fc67b38a",
   "metadata": {},
   "outputs": [],
   "source": [
    "adjectives = prompts['Descriptive-Adj'].tolist()[:10]\n",
    "professions = [p.lower() for p in prompts['Occupation-Noun'].tolist()]"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
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