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- .ipynb_checkpoints/tests-checkpoint.ipynb +287 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_1.jpg +0 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_10.jpg +0 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_2.jpg +0 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_3.jpg +0 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_4.jpg +0 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_5.jpg +0 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_6.jpg +0 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_7.jpg +0 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_8.jpg +0 -0
- images/{Photo_portrait_of_a_committed_CEO β Photo_portrait_of_a_committed_ceo}/Seed_93109/Image_9.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_1.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_10.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_2.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_3.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_4.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_5.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_6.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_7.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_8.jpg +0 -0
- images/{Photo_portrait_of_a_compassionate_CEO β Photo_portrait_of_a_compassionate_ceo}/Seed_93109/Image_9.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_1.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_10.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_2.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_3.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_4.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_5.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_6.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_7.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_8.jpg +0 -0
- images/{Photo_portrait_of_a_confident_CEO β Photo_portrait_of_a_confident_ceo}/Seed_93109/Image_9.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_1.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_10.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_2.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_3.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_4.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_5.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_6.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_7.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_8.jpg +0 -0
- images/{Photo_portrait_of_a_considerate_CEO β Photo_portrait_of_a_considerate_ceo}/Seed_93109/Image_9.jpg +0 -0
- images/{Photo_portrait_of_a_decisive_CEO β Photo_portrait_of_a_decisive_ceo}/Seed_93109/Image_1.jpg +0 -0
- images/{Photo_portrait_of_a_decisive_CEO β Photo_portrait_of_a_decisive_ceo}/Seed_93109/Image_10.jpg +0 -0
- images/{Photo_portrait_of_a_decisive_CEO β Photo_portrait_of_a_decisive_ceo}/Seed_93109/Image_2.jpg +0 -0
- images/{Photo_portrait_of_a_decisive_CEO β Photo_portrait_of_a_decisive_ceo}/Seed_93109/Image_3.jpg +0 -0
- images/{Photo_portrait_of_a_decisive_CEO β Photo_portrait_of_a_decisive_ceo}/Seed_93109/Image_4.jpg +0 -0
- images/{Photo_portrait_of_a_decisive_CEO β Photo_portrait_of_a_decisive_ceo}/Seed_93109/Image_5.jpg +0 -0
- images/{Photo_portrait_of_a_decisive_CEO β Photo_portrait_of_a_decisive_ceo}/Seed_93109/Image_6.jpg +0 -0
- images/{Photo_portrait_of_a_decisive_CEO β Photo_portrait_of_a_decisive_ceo}/Seed_93109/Image_7.jpg +0 -0
- images/{Photo_portrait_of_a_decisive_CEO β Photo_portrait_of_a_decisive_ceo}/Seed_93109/Image_8.jpg +0 -0
.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",
|
149 |
+
" 'electrician',\n",
|
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+
" 'architect',\n",
|
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+
" 'therapist',\n",
|
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+
" 'pharmacy technician',\n",
|
153 |
+
" 'tutor',\n",
|
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+
" 'producer',\n",
|
155 |
+
" 'repair worker',\n",
|
156 |
+
" 'stepmother',\n",
|
157 |
+
" 'executive assistant',\n",
|
158 |
+
" 'groundskeeper',\n",
|
159 |
+
" 'firefighter',\n",
|
160 |
+
" 'sales manager',\n",
|
161 |
+
" 'air conditioning installer',\n",
|
162 |
+
" 'cashier',\n",
|
163 |
+
" 'neighbor',\n",
|
164 |
+
" 'dentist',\n",
|
165 |
+
" 'scientist',\n",
|
166 |
+
" 'engineer',\n",
|
167 |
+
" 'childcare worker',\n",
|
168 |
+
" 'police officer',\n",
|
169 |
+
" 'mother-in-law',\n",
|
170 |
+
" 'industrial engineer',\n",
|
171 |
+
" 'clergy',\n",
|
172 |
+
" 'parent',\n",
|
173 |
+
" 'niece',\n",
|
174 |
+
" 'office clerk',\n",
|
175 |
+
" 'stepbrother',\n",
|
176 |
+
" 'metal worker',\n",
|
177 |
+
" 'writer',\n",
|
178 |
+
" 'farmer',\n",
|
179 |
+
" 'nurse',\n",
|
180 |
+
" 'musician',\n",
|
181 |
+
" 'public relations specialist',\n",
|
182 |
+
" 'host',\n",
|
183 |
+
" 'carpenter',\n",
|
184 |
+
" 'career counselor',\n",
|
185 |
+
" 'jailer',\n",
|
186 |
+
" 'grandfather',\n",
|
187 |
+
" 'librarian',\n",
|
188 |
+
" 'network administrator',\n",
|
189 |
+
" 'social assistant',\n",
|
190 |
+
" 'credit counselor',\n",
|
191 |
+
" '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",
|
242 |
+
" 'salesperson',\n",
|
243 |
+
" 'mom',\n",
|
244 |
+
" 'electrical engineer']"
|
245 |
+
]
|
246 |
+
},
|
247 |
+
"execution_count": 80,
|
248 |
+
"metadata": {},
|
249 |
+
"output_type": "execute_result"
|
250 |
+
}
|
251 |
+
],
|
252 |
+
"source": []
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"cell_type": "code",
|
256 |
+
"execution_count": 45,
|
257 |
+
"id": "fc67b38a",
|
258 |
+
"metadata": {},
|
259 |
+
"outputs": [],
|
260 |
+
"source": [
|
261 |
+
"adjectives = prompts['Descriptive-Adj'].tolist()[:10]\n",
|
262 |
+
"professions = [p.lower() for p in prompts['Occupation-Noun'].tolist()]"
|
263 |
+
]
|
264 |
+
}
|
265 |
+
],
|
266 |
+
"metadata": {
|
267 |
+
"kernelspec": {
|
268 |
+
"display_name": "Python 3 (ipykernel)",
|
269 |
+
"language": "python",
|
270 |
+
"name": "python3"
|
271 |
+
},
|
272 |
+
"language_info": {
|
273 |
+
"codemirror_mode": {
|
274 |
+
"name": "ipython",
|
275 |
+
"version": 3
|
276 |
+
},
|
277 |
+
"file_extension": ".py",
|
278 |
+
"mimetype": "text/x-python",
|
279 |
+
"name": "python",
|
280 |
+
"nbconvert_exporter": "python",
|
281 |
+
"pygments_lexer": "ipython3",
|
282 |
+
"version": "3.9.12"
|
283 |
+
}
|
284 |
+
},
|
285 |
+
"nbformat": 4,
|
286 |
+
"nbformat_minor": 5
|
287 |
+
}
|
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