Delete .ipynb_checkpoints
Browse files
.ipynb_checkpoints/tests-checkpoint.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 60,
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"id": "49140416",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os,re\n",
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"import pandas as pd\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"id": "621c0c37",
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"metadata": {},
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"outputs": [],
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"source": [
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"prompts = pd.read_csv('shortprompts.csv')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 47,
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"id": "27cf3f0e",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 51,
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"id": "bc14f4b1",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 78,
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"id": "5f2cb0c9",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 80,
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"id": "f5e935fa",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['wife',\n",
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" 'construction worker',\n",
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" 'hostess',\n",
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" 'aerospace engineer',\n",
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" 'manicurist',\n",
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" 'designer',\n",
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" 'financial advisor',\n",
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" 'bus driver',\n",
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" 'financial analyst',\n",
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" 'butcher',\n",
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" 'cook',\n",
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" 'medical records specialist',\n",
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" 'baker',\n",
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" 'nursing assistant',\n",
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" 'machinist',\n",
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" 'uncle',\n",
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" 'interviewer',\n",
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" 'truck driver',\n",
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" 'supervisor',\n",
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" 'computer programmer',\n",
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" 'boyfriend',\n",
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" 'language pathologist',\n",
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" 'security guard',\n",
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" 'computer support specialist',\n",
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" 'paralegal',\n",
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" 'spouse',\n",
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" 'data entry keyer',\n",
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" 'wholesale buyer',\n",
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" 'accountant',\n",
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" 'stepmom',\n",
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" 'dental assistant',\n",
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" 'sister',\n",
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" 'insurance agent',\n",
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" 'logistician',\n",
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" 'partner',\n",
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" 'fitness instructor',\n",
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" 'welder',\n",
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" 'grandpa',\n",
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" 'painter',\n",
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" 'financial manager',\n",
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" 'carpet installer',\n",
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" 'physical therapist',\n",
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" 'market research analyst',\n",
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" 'ceo',\n",
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" 'singer',\n",
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" 'teller',\n",
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" 'stepsister',\n",
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" 'coach',\n",
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" 'receptionist',\n",
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" 'compliance officer',\n",
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" 'taxi driver',\n",
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" 'father-in-law',\n",
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" 'dental hygienist',\n",
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" 'maid',\n",
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" 'janitor',\n",
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" 'roofer',\n",
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" 'stepdad',\n",
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" 'best friend',\n",
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" 'father',\n",
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" 'sibling',\n",
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" 'husband',\n",
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" 'lawyer',\n",
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" 'occupational therapist',\n",
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" 'head cook',\n",
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" 'dispatcher',\n",
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" 'employer',\n",
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" 'cousin',\n",
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" 'office worker',\n",
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" 'graphic designer',\n",
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" 'girlfriend',\n",
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" 'mechanical engineer',\n",
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" 'marketing manager',\n",
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" 'health technician',\n",
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" 'mother',\n",
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" 'grandmother',\n",
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" 'plumber',\n",
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" 'colleague',\n",
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" 'cleaner',\n",
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" 'mover',\n",
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" 'correctional officer',\n",
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" 'stocker',\n",
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" 'underwriter',\n",
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" 'teaching assistant',\n",
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" 'radiologic technician',\n",
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" 'manager',\n",
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" 'teacher',\n",
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" 'bartender',\n",
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" 'payroll clerk',\n",
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" 'civil engineer',\n",
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" 'customer service representative',\n",
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" 'stepfather',\n",
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" 'electrician',\n",
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" 'architect',\n",
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" 'therapist',\n",
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" 'pharmacy technician',\n",
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" 'tutor',\n",
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" 'producer',\n",
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" 'repair worker',\n",
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" 'stepmother',\n",
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" 'executive assistant',\n",
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" 'groundskeeper',\n",
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" 'firefighter',\n",
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" 'sales manager',\n",
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" 'air conditioning installer',\n",
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" 'cashier',\n",
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" 'neighbor',\n",
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" 'dentist',\n",
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" 'scientist',\n",
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" 'engineer',\n",
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" 'childcare worker',\n",
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" 'police officer',\n",
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" 'mother-in-law',\n",
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" 'industrial engineer',\n",
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" 'clergy',\n",
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" 'parent',\n",
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" 'niece',\n",
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" 'office clerk',\n",
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" 'stepbrother',\n",
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" 'metal worker',\n",
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" 'writer',\n",
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" 'farmer',\n",
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" 'nurse',\n",
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" 'musician',\n",
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" 'public relations specialist',\n",
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" 'host',\n",
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" 'carpenter',\n",
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" 'career counselor',\n",
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" 'jailer',\n",
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" 'grandfather',\n",
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" 'librarian',\n",
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" 'network administrator',\n",
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" 'social assistant',\n",
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" 'credit counselor',\n",
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" 'pharmacist',\n",
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" 'employee',\n",
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" 'hairdresser',\n",
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" 'nephew',\n",
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" 'printing press operator',\n",
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" 'tractor operator',\n",
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" 'artist',\n",
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" 'dishwasher',\n",
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" 'director',\n",
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" 'postal worker',\n",
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" 'drywall installer',\n",
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" 'author',\n",
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" 'interior designer',\n",
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" 'grandma',\n",
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" 'pilot',\n",
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" 'aunt',\n",
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" 'claims appraiser',\n",
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" 'plane mechanic',\n",
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" 'fast food worker',\n",
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" 'machinery mechanic',\n",
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" 'school bus driver',\n",
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" 'mechanic',\n",
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" 'photographers',\n",
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" 'son',\n",
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" 'inventory clerk',\n",
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" 'detective',\n",
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" 'mental health counselor',\n",
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" 'software developer',\n",
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" 'it specialist',\n",
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" 'brother',\n",
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" 'real estate broker',\n",
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" 'courier',\n",
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" 'veterinarian',\n",
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" 'aide',\n",
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" 'clerk',\n",
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" 'psychologist',\n",
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" 'computer systems analyst',\n",
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" 'community manager',\n",
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" 'file clerk',\n",
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" 'massage therapist',\n",
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" 'daughter',\n",
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" 'sheet metal worker',\n",
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" 'purchasing agent',\n",
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" 'laboratory technician',\n",
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" 'waiter',\n",
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" 'dad',\n",
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" 'friend',\n",
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" 'facilities manager',\n",
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" 'waitress',\n",
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" 'doctor',\n",
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" 'social worker',\n",
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" 'salesperson',\n",
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" 'mom',\n",
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" 'electrical engineer']"
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]
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},
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"execution_count": 80,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 45,
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"id": "fc67b38a",
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"metadata": {},
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"outputs": [],
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"source": [
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"adjectives = prompts['Descriptive-Adj'].tolist()[:10]\n",
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"professions = [p.lower() for p in prompts['Occupation-Noun'].tolist()]"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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