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  1. .ipynb_checkpoints/tests-checkpoint.ipynb +287 -0
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.ipynb_checkpoints/tests-checkpoint.ipynb ADDED
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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",
190
+ " 'credit counselor',\n",
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+ " 'pharmacist',\n",
192
+ " 'employee',\n",
193
+ " 'hairdresser',\n",
194
+ " 'nephew',\n",
195
+ " 'printing press operator',\n",
196
+ " 'tractor operator',\n",
197
+ " 'artist',\n",
198
+ " 'dishwasher',\n",
199
+ " 'director',\n",
200
+ " 'postal worker',\n",
201
+ " 'drywall installer',\n",
202
+ " 'author',\n",
203
+ " 'interior designer',\n",
204
+ " 'grandma',\n",
205
+ " 'pilot',\n",
206
+ " 'aunt',\n",
207
+ " 'claims appraiser',\n",
208
+ " 'plane mechanic',\n",
209
+ " 'fast food worker',\n",
210
+ " 'machinery mechanic',\n",
211
+ " 'school bus driver',\n",
212
+ " 'mechanic',\n",
213
+ " 'photographers',\n",
214
+ " 'son',\n",
215
+ " 'inventory clerk',\n",
216
+ " 'detective',\n",
217
+ " 'mental health counselor',\n",
218
+ " 'software developer',\n",
219
+ " 'it specialist',\n",
220
+ " 'brother',\n",
221
+ " 'real estate broker',\n",
222
+ " 'courier',\n",
223
+ " 'veterinarian',\n",
224
+ " 'aide',\n",
225
+ " 'clerk',\n",
226
+ " 'psychologist',\n",
227
+ " 'computer systems analyst',\n",
228
+ " 'community manager',\n",
229
+ " 'file clerk',\n",
230
+ " 'massage therapist',\n",
231
+ " 'daughter',\n",
232
+ " 'sheet metal worker',\n",
233
+ " 'purchasing agent',\n",
234
+ " 'laboratory technician',\n",
235
+ " 'waiter',\n",
236
+ " 'dad',\n",
237
+ " 'friend',\n",
238
+ " 'facilities manager',\n",
239
+ " 'waitress',\n",
240
+ " 'doctor',\n",
241
+ " '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": [
261
+ "adjectives = prompts['Descriptive-Adj'].tolist()[:10]\n",
262
+ "professions = [p.lower() for p in prompts['Occupation-Noun'].tolist()]"
263
+ ]
264
+ }
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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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