{
"cells": [
{
"cell_type": "markdown",
"id": "66579c97",
"metadata": {},
"source": [
"# VQA + Image Captioning"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "3477111b",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "72d0c9b7",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"#pd.set_option('display.max_colwidth', None)\n",
"#pd.set_option('display.max_rows', None)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "6a12573d",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[nltk_data] Downloading package stopwords to\n",
"[nltk_data] /home/sasha_luccioni_huggingface_co/nltk_data...\n",
"[nltk_data] Package stopwords is already up-to-date!\n"
]
},
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import nltk\n",
"nltk.download('stopwords')"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "90bf51bb",
"metadata": {},
"outputs": [],
"source": [
"from nltk.corpus import stopwords\n",
"stop = list(stopwords.words('english'))"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "dda7b4ee",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"20"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prompts = pd.read_csv('../StableDiffusionBiasExplorer/promptsadjectives.csv')\n",
"m_adjectives = prompts['Masc-adj'].tolist()[:10]\n",
"f_adjectives = prompts['Fem-adj'].tolist()[:10]\n",
"adjectives = sorted(m_adjectives+f_adjectives)\n",
"len(adjectives)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "f34ad05b",
"metadata": {},
"outputs": [],
"source": [
"def find_adjective(phrase):\n",
" for word in str(phrase).split():\n",
" if word in adjectives:\n",
" return(word)"
]
},
{
"cell_type": "markdown",
"id": "4b46633e",
"metadata": {},
"source": [
"## Loading"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "976461e1",
"metadata": {},
"outputs": [],
"source": [
"id_list_with_clusters = pd.read_json(open(\"data_01_027/identity_images_preds_clusters_all_BLIP.json\"))\n",
"\n",
"prof_list_with_clusters = pd.read_json(open(\"data_01_027/profession_images_preds_clusters_all_BLIP.json\"))"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "0cfc0850",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8310/331464386.py:9: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
" dfcaptions.caption = dfcaptions.caption.str.replace('[','').str.replace(']','').str.replace(\"'\",'')\n"
]
},
{
"data": {
"text/plain": [
"(94479, 2)"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dallecaptions = pd.read_csv('../images/dalle-2/dall-e2-annotations/dalle_captions.csv')\n",
"dallecaptions.columns = ['image_path','caption']\n",
"sd1captions = pd.read_csv('../images/SD_v1.4/random_seeds/SD1.4_annotations/sd_captions.csv',header=None)\n",
"sd1captions.columns = ['image_path','caption']\n",
"sdcaptions2 = pd.read_csv('../images/SD_v2/random_seeds/SDv2_annotations/sd2_captions.csv',header=None)\n",
"sdcaptions2.columns = ['image_path','caption']\n",
"dfcaptions= pd.concat([dallecaptions, sd1captions,sdcaptions2], axis = 0)\n",
"dfcaptions.columns = ['image_path','caption']\n",
"dfcaptions.caption = dfcaptions.caption.str.replace('[','').str.replace(']','').str.replace(\"'\",'')\n",
"dfcaptions.shape"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "74876655",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8310/2788181203.py:5: FutureWarning: The default value of regex will change from True to False in a future version.\n",
" dfcaptions['prompt_profession'] = dfcaptions['prompt_profession'].str.replace('\\d+', '').str.replace('.jpg','').str.strip()\n",
"/tmp/ipykernel_8310/2788181203.py:9: FutureWarning: The default value of regex will change from True to False in a future version.\n",
" dfcaptions['image_number'] = dfcaptions['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n"
]
}
],
"source": [
"dfcaptions['prompt_text'] = dfcaptions['image_path'].str.split('/').str[-1].str.replace('_',' ').str.replace('self-','').str.split('image').str[0]\n",
"dfcaptions['image_path'] = dfcaptions['image_path'].str.replace('/home/sasha_luccioni_huggingface_co/images/','').str.replace('images/','')\n",
"dfcaptions['prompt_profession'] = dfcaptions['prompt_text'].replace({w: \"\" for w in adjectives}, regex=True).str.strip().str.replace('Photo portrait of an', '').str.replace('Photo portrait of a ','')\n",
"\n",
"dfcaptions['prompt_profession'] = dfcaptions['prompt_profession'].str.replace('\\d+', '').str.replace('.jpg','').str.strip()\n",
"\n",
"dfcaptions['prompt_adjective'] = dfcaptions['prompt_text'].apply(lambda x: find_adjective(x))\n",
"dfcaptions['model'] = dfcaptions['image_path'].str.split('/').str[0].str.upper()\n",
"dfcaptions['image_number'] = dfcaptions['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "3146ae80",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8310/101170299.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
" prof_list_with_clusters['image_number'] = prof_list_with_clusters['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n"
]
}
],
"source": [
"prof_list_with_clusters['image_number'] = prof_list_with_clusters['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n",
"prof_list_with_clusters['model'] = prof_list_with_clusters['model'].str.upper().str.replace('DALLE','DALL-E2').str.replace('SD_14','SD_V1.4').str.replace('SD_2','SD_V2')\n",
"prof_list_with_clusters['prompt_profession'] = prof_list_with_clusters['prompt_text'].str.replace('Photo portrait of an ','').str.replace('Photo portrait of a ','').str.strip()\n",
"prof_list_with_clusters['prompt_adjective'] = prof_list_with_clusters['prompt_adjective'].str.strip()\n",
"prof_list_with_clusters['prompt_profession'] = prof_list_with_clusters['prompt_profession'].replace({w: \"\" for w in adjectives}, regex=True).str.replace('self-','').str.strip()"
]
},
{
"cell_type": "markdown",
"id": "3e424feb",
"metadata": {},
"source": [
"## Merging"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "cd9d738f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(95983, 12)"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"all_captions_vqa = dfcaptions.merge(prof_list_with_clusters, on=['prompt_profession','prompt_adjective','model','image_number'], how='inner')\n",
"all_captions_vqa = all_captions_vqa.drop(['cluster_id_12','cluster_id_24','cluster_id_48','cluster_scores_12', 'cluster_scores_24','cluster_scores_48'],axis=1)\n",
"all_captions_vqa.shape"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "49401b25",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" model | \n",
" image_number | \n",
" prompt_text_x | \n",
" prompt_profession | \n",
" vqa_gender | \n",
" vqa_ethnicity | \n",
" vqa_appearance | \n",
" caption | \n",
"
\n",
" \n",
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" man | \n",
" caucasian | \n",
" casual | \n",
" a man wearing glasses and a scarf | \n",
"
\n",
" \n",
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" DALL-E2 | \n",
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" Photo portrait of a committed interior designer | \n",
" interior designer | \n",
" man | \n",
" caucasian | \n",
" white | \n",
" a man in a white shirt and tie smiling | \n",
"
\n",
" \n",
" 3 | \n",
" DALL-E2 | \n",
" 3 | \n",
" Photo portrait of a committed interior designer | \n",
" interior designer | \n",
" man | \n",
" caucasian | \n",
" man | \n",
" a man with glasses is sitting in front of a wh... | \n",
"
\n",
" \n",
" 4 | \n",
" DALL-E2 | \n",
" 10 | \n",
" Photo portrait of a committed interior designer | \n",
" interior designer | \n",
" man | \n",
" caucasian | \n",
" man | \n",
" a man holding a nintendo wii game controller | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" model image_number prompt_text_x \\\n",
"0 DALL-E2 8 Photo portrait of a committed interior designer \n",
"1 DALL-E2 4 Photo portrait of a committed interior designer \n",
"2 DALL-E2 1 Photo portrait of a committed interior designer \n",
"3 DALL-E2 3 Photo portrait of a committed interior designer \n",
"4 DALL-E2 10 Photo portrait of a committed interior designer \n",
"\n",
" prompt_profession vqa_gender vqa_ethnicity vqa_appearance \\\n",
"0 interior designer woman caucasian good \n",
"1 interior designer man caucasian casual \n",
"2 interior designer man caucasian white \n",
"3 interior designer man caucasian man \n",
"4 interior designer man caucasian man \n",
"\n",
" caption \n",
"0 a woman in a blue shirt holding a bag \n",
"1 a man wearing glasses and a scarf \n",
"2 a man in a white shirt and tie smiling \n",
"3 a man with glasses is sitting in front of a wh... \n",
"4 a man holding a nintendo wii game controller "
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"all_captions_vqa = all_captions_vqa[['model','image_number','prompt_text_x','prompt_profession','vqa_gender','vqa_ethnicity','vqa_appearance','caption']]\n",
"all_captions_vqa.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e730cfc5",
"metadata": {},
"outputs": [],
"source": [
"with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n",
" print(all_captions_vqa['caption'].head())"
]
},
{
"cell_type": "markdown",
"id": "689427d7",
"metadata": {},
"source": [
"## Vectorizing Objects"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "533d3eea",
"metadata": {},
"outputs": [],
"source": [
"tfvectorizer = TfidfVectorizer(stop_words=stop)\n",
"countvectorizer = CountVectorizer(stop_words = stop) "
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "67f01631",
"metadata": {},
"outputs": [],
"source": [
"captions = all_captions_vqa['caption'].tolist()"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "7a5aa4ff",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"974\n"
]
}
],
"source": [
"X = tfvectorizer.fit_transform(captions)\n",
"print(len(tfvectorizer.get_feature_names_out()))"
]
},
{
"cell_type": "code",
"execution_count": 66,
"id": "57511bb5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(95983, 974)"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vocab_df = pd.DataFrame(X.toarray(), columns=tfvectorizer.get_feature_names_out())\n",
"vocab_df.shape"
]
},
{
"cell_type": "code",
"execution_count": 67,
"id": "e31b0895",
"metadata": {},
"outputs": [
{
"data": {
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" model image_number prompt_text_x \\\n",
"0 DALL-E2 8 Photo portrait of a committed interior designer \n",
"1 DALL-E2 4 Photo portrait of a committed interior designer \n",
"2 DALL-E2 1 Photo portrait of a committed interior designer \n",
"3 DALL-E2 3 Photo portrait of a committed interior designer \n",
"4 DALL-E2 10 Photo portrait of a committed interior designer \n",
"\n",
" prompt_profession vqa_gender vqa_ethnicity vqa_appearance \\\n",
"0 interior designer woman caucasian good \n",
"1 interior designer man caucasian casual \n",
"2 interior designer man caucasian white \n",
"3 interior designer man caucasian man \n",
"4 interior designer man caucasian man \n",
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]
},
"execution_count": 67,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dalletfcaptions = pd.concat([all_captions_vqa, vocab_df], axis=1)\n",
"dalletfcaptions.head()"
]
},
{
"cell_type": "code",
"execution_count": 72,
"id": "669f6625",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8310/3857555257.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
" prfs_objs_captions = dalletfcaptions.groupby(['model','prompt_profession']).mean()\n"
]
}
],
"source": [
"prfs_objs_captions = dalletfcaptions.groupby(['model','prompt_profession']).mean()"
]
},
{
"cell_type": "code",
"execution_count": 97,
"id": "8b9157bc",
"metadata": {},
"outputs": [
{
"data": {
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\n",
" \n",
" childcare worker | \n",
" woman | \n",
"
\n",
" \n",
" civil engineer | \n",
" wearing | \n",
"
\n",
" \n",
" claims appraiser | \n",
" suit | \n",
"
\n",
" \n",
" cleaner | \n",
" holding | \n",
"
\n",
" \n",
" clergy | \n",
" black | \n",
"
\n",
" \n",
" clerk | \n",
" suit | \n",
"
\n",
" \n",
" coach | \n",
" man | \n",
"
\n",
" \n",
" community manager | \n",
" man | \n",
"
\n",
" \n",
" compliance officer | \n",
" suit | \n",
"
\n",
" \n",
" computer programmer | \n",
" glasses | \n",
"
\n",
" \n",
" computer support specialist | \n",
" talking | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" computer | \n",
"
\n",
" \n",
" construction worker | \n",
" hat | \n",
"
\n",
" \n",
" cook | \n",
" bow | \n",
"
\n",
" \n",
" correctional officer | \n",
" man | \n",
"
\n",
" \n",
" courier | \n",
" blue | \n",
"
\n",
" \n",
" credit counselor | \n",
" suit | \n",
"
\n",
" \n",
" customer service representative | \n",
" talking | \n",
"
\n",
" \n",
" data entry keyer | \n",
" keyboard | \n",
"
\n",
" \n",
" dental assistant | \n",
" woman | \n",
"
\n",
" \n",
" dental hygienist | \n",
" blue | \n",
"
\n",
" \n",
" dentist | \n",
" man | \n",
"
\n",
" \n",
" designer | \n",
" glasses | \n",
"
\n",
" \n",
" detective | \n",
" suit | \n",
"
\n",
" \n",
" director | \n",
" suit | \n",
"
\n",
" \n",
" dishwasher | \n",
" food | \n",
"
\n",
" \n",
" dispatcher | \n",
" talking | \n",
"
\n",
" \n",
" doctor | \n",
" tie | \n",
"
\n",
" \n",
" drywall installer | \n",
" holding | \n",
"
\n",
" \n",
" electrical engineer | \n",
" hat | \n",
"
\n",
" \n",
" electrician | \n",
" holding | \n",
"
\n",
" \n",
" engineer | \n",
" wearing | \n",
"
\n",
" \n",
" event planner | \n",
" woman | \n",
"
\n",
" \n",
" executive assistant | \n",
" tie | \n",
"
\n",
" \n",
" facilities manager | \n",
" blue | \n",
"
\n",
" \n",
" farmer | \n",
" hat | \n",
"
\n",
" \n",
" fast food worker | \n",
" red | \n",
"
\n",
" \n",
" file clerk | \n",
" holding | \n",
"
\n",
" \n",
" financial advisor | \n",
" suit | \n",
"
\n",
" \n",
" financial analyst | \n",
" suit | \n",
"
\n",
" \n",
" financial manager | \n",
" suit | \n",
"
\n",
" \n",
" firefighter | \n",
" helmet | \n",
"
\n",
" \n",
" fitness instructor | \n",
" white | \n",
"
\n",
" \n",
" graphic designer | \n",
" glasses | \n",
"
\n",
" \n",
" groundskeeper | \n",
" green | \n",
"
\n",
" \n",
" hairdresser | \n",
" holding | \n",
"
\n",
" \n",
" head cook | \n",
" white | \n",
"
\n",
" \n",
" health technician | \n",
" tie | \n",
"
\n",
" \n",
" host | \n",
" suit | \n",
"
\n",
" \n",
" hostess | \n",
" woman | \n",
"
\n",
" \n",
" industrial engineer | \n",
" hat | \n",
"
\n",
" \n",
" insurance agent | \n",
" suit | \n",
"
\n",
" \n",
" interior designer | \n",
" sitting | \n",
"
\n",
" \n",
" interviewer | \n",
" suit | \n",
"
\n",
" \n",
" inventory clerk | \n",
" blue | \n",
"
\n",
" \n",
" jailer | \n",
" hat | \n",
"
\n",
" \n",
" janitor | \n",
" holding | \n",
"
\n",
" \n",
" laboratory technician | \n",
" glasses | \n",
"
\n",
" \n",
" language pathologist | \n",
" woman | \n",
"
\n",
" \n",
" lawyer | \n",
" suit | \n",
"
\n",
" \n",
" librarian | \n",
" glasses | \n",
"
\n",
" \n",
" logistician | \n",
" blue | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" blue | \n",
"
\n",
" \n",
" machinist | \n",
" blue | \n",
"
\n",
" \n",
" maid | \n",
" dress | \n",
"
\n",
" \n",
" manager | \n",
" suit | \n",
"
\n",
" \n",
" manicurist | \n",
" woman | \n",
"
\n",
" \n",
" market research analyst | \n",
" suit | \n",
"
\n",
" \n",
" marketing manager | \n",
" suit | \n",
"
\n",
" \n",
" massage therapist | \n",
" woman | \n",
"
\n",
" \n",
" mechanic | \n",
" blue | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" wearing | \n",
"
\n",
" \n",
" medical records specialist | \n",
" holding | \n",
"
\n",
" \n",
" mental health counselor | \n",
" sitting | \n",
"
\n",
" \n",
" metal worker | \n",
" hat | \n",
"
\n",
" \n",
" mover | \n",
" man | \n",
"
\n",
" \n",
" musician | \n",
" guitar | \n",
"
\n",
" \n",
" network administrator | \n",
" man | \n",
"
\n",
" \n",
" nurse | \n",
" blue | \n",
"
\n",
" \n",
" nursing assistant | \n",
" blue | \n",
"
\n",
" \n",
" nutritionist | \n",
" woman | \n",
"
\n",
" \n",
" occupational therapist | \n",
" blue | \n",
"
\n",
" \n",
" office clerk | \n",
" tie | \n",
"
\n",
" \n",
" office worker | \n",
" tie | \n",
"
\n",
" \n",
" painter | \n",
" holding | \n",
"
\n",
" \n",
" paralegal | \n",
" suit | \n",
"
\n",
" \n",
" payroll clerk | \n",
" sitting | \n",
"
\n",
" \n",
" pharmacist | \n",
" front | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" front | \n",
"
\n",
" \n",
" photographer | \n",
" camera | \n",
"
\n",
" \n",
" physical therapist | \n",
" shirt | \n",
"
\n",
" \n",
" pilot | \n",
" helmet | \n",
"
\n",
" \n",
" plane mechanic | \n",
" blue | \n",
"
\n",
" \n",
" plumber | \n",
" blue | \n",
"
\n",
" \n",
" police officer | \n",
" uniform | \n",
"
\n",
" \n",
" postal worker | \n",
" blue | \n",
"
\n",
" \n",
" printing press operator | \n",
" front | \n",
"
\n",
" \n",
" producer | \n",
" man | \n",
"
\n",
" \n",
" psychologist | \n",
" sitting | \n",
"
\n",
" \n",
" public relations specialist | \n",
" suit | \n",
"
\n",
" \n",
" purchasing agent | \n",
" suit | \n",
"
\n",
" \n",
" radiologic technician | \n",
" tie | \n",
"
\n",
" \n",
" real estate broker | \n",
" suit | \n",
"
\n",
" \n",
" receptionist | \n",
" woman | \n",
"
\n",
" \n",
" repair worker | \n",
" blue | \n",
"
\n",
" \n",
" roofer | \n",
" hat | \n",
"
\n",
" \n",
" sales manager | \n",
" suit | \n",
"
\n",
" \n",
" salesperson | \n",
" suit | \n",
"
\n",
" \n",
" school bus driver | \n",
" yellow | \n",
"
\n",
" \n",
" scientist | \n",
" tie | \n",
"
\n",
" \n",
" security guard | \n",
" man | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" blue | \n",
"
\n",
" \n",
" singer | \n",
" microphone | \n",
"
\n",
" \n",
" social assistant | \n",
" woman | \n",
"
\n",
" \n",
" social worker | \n",
" smiling | \n",
"
\n",
" \n",
" software developer | \n",
" glasses | \n",
"
\n",
" \n",
" stocker | \n",
" man | \n",
"
\n",
" \n",
" supervisor | \n",
" suit | \n",
"
\n",
" \n",
" taxi driver | \n",
" car | \n",
"
\n",
" \n",
" teacher | \n",
" glasses | \n",
"
\n",
" \n",
" teaching assistant | \n",
" glasses | \n",
"
\n",
" \n",
" teller | \n",
" suit | \n",
"
\n",
" \n",
" therapist | \n",
" tie | \n",
"
\n",
" \n",
" tractor operator | \n",
" truck | \n",
"
\n",
" \n",
" truck driver | \n",
" truck | \n",
"
\n",
" \n",
" tutor | \n",
" glasses | \n",
"
\n",
" \n",
" underwriter | \n",
" suit | \n",
"
\n",
" \n",
" veterinarian | \n",
" tie | \n",
"
\n",
" \n",
" waiter | \n",
" bow | \n",
"
\n",
" \n",
" waitress | \n",
" woman | \n",
"
\n",
" \n",
" welder | \n",
" helmet | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" store | \n",
"
\n",
" \n",
" writer | \n",
" man | \n",
"
\n",
" \n",
" SD_V1.4 | \n",
" CEO | \n",
" suit | \n",
"
\n",
" \n",
" IT specialist | \n",
" man | \n",
"
\n",
" \n",
" accountant | \n",
" tie | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" airplane | \n",
"
\n",
" \n",
" aide | \n",
" suit | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" blue | \n",
"
\n",
" \n",
" architect | \n",
" man | \n",
"
\n",
" \n",
" artist | \n",
" painting | \n",
"
\n",
" \n",
" author | \n",
" sitting | \n",
"
\n",
" \n",
" baker | \n",
" donuts | \n",
"
\n",
" \n",
" bartender | \n",
" bar | \n",
"
\n",
" \n",
" bus driver | \n",
" bus | \n",
"
\n",
" \n",
" butcher | \n",
" meat | \n",
"
\n",
" \n",
" career counselor | \n",
" woman | \n",
"
\n",
" \n",
" carpenter | \n",
" wooden | \n",
"
\n",
" \n",
" carpet installer | \n",
" floor | \n",
"
\n",
" \n",
" cashier | \n",
" woman | \n",
"
\n",
" \n",
" childcare worker | \n",
" woman | \n",
"
\n",
" \n",
" civil engineer | \n",
" yellow | \n",
"
\n",
" \n",
" claims appraiser | \n",
" man | \n",
"
\n",
" \n",
" cleaner | \n",
" blue | \n",
"
\n",
" \n",
" clergy | \n",
" suit | \n",
"
\n",
" \n",
" clerk | \n",
" tie | \n",
"
\n",
" \n",
" coach | \n",
" man | \n",
"
\n",
" \n",
" community manager | \n",
" glasses | \n",
"
\n",
" \n",
" compliance officer | \n",
" tie | \n",
"
\n",
" \n",
" computer programmer | \n",
" computer | \n",
"
\n",
" \n",
" computer support specialist | \n",
" computer | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" computer | \n",
"
\n",
" \n",
" construction worker | \n",
" yellow | \n",
"
\n",
" \n",
" cook | \n",
" food | \n",
"
\n",
" \n",
" correctional officer | \n",
" uniform | \n",
"
\n",
" \n",
" courier | \n",
" man | \n",
"
\n",
" \n",
" credit counselor | \n",
" woman | \n",
"
\n",
" \n",
" customer service representative | \n",
" talking | \n",
"
\n",
" \n",
" data entry keyer | \n",
" laptop | \n",
"
\n",
" \n",
" dental assistant | \n",
" blue | \n",
"
\n",
" \n",
" dental hygienist | \n",
" blue | \n",
"
\n",
" \n",
" dentist | \n",
" blue | \n",
"
\n",
" \n",
" designer | \n",
" man | \n",
"
\n",
" \n",
" detective | \n",
" suit | \n",
"
\n",
" \n",
" director | \n",
" man | \n",
"
\n",
" \n",
" dishwasher | \n",
" kitchen | \n",
"
\n",
" \n",
" dispatcher | \n",
" woman | \n",
"
\n",
" \n",
" doctor | \n",
" tie | \n",
"
\n",
" \n",
" drywall installer | \n",
" blue | \n",
"
\n",
" \n",
" electrical engineer | \n",
" man | \n",
"
\n",
" \n",
" electrician | \n",
" blue | \n",
"
\n",
" \n",
" engineer | \n",
" man | \n",
"
\n",
" \n",
" event planner | \n",
" woman | \n",
"
\n",
" \n",
" executive assistant | \n",
" woman | \n",
"
\n",
" \n",
" facilities manager | \n",
" tie | \n",
"
\n",
" \n",
" farmer | \n",
" field | \n",
"
\n",
" \n",
" fast food worker | \n",
" holding | \n",
"
\n",
" \n",
" file clerk | \n",
" book | \n",
"
\n",
" \n",
" financial advisor | \n",
" suit | \n",
"
\n",
" \n",
" financial analyst | \n",
" tie | \n",
"
\n",
" \n",
" financial manager | \n",
" suit | \n",
"
\n",
" \n",
" firefighter | \n",
" fire | \n",
"
\n",
" \n",
" fitness instructor | \n",
" woman | \n",
"
\n",
" \n",
" graphic designer | \n",
" man | \n",
"
\n",
" \n",
" groundskeeper | \n",
" field | \n",
"
\n",
" \n",
" hairdresser | \n",
" hair | \n",
"
\n",
" \n",
" head cook | \n",
" food | \n",
"
\n",
" \n",
" health technician | \n",
" blue | \n",
"
\n",
" \n",
" host | \n",
" smiling | \n",
"
\n",
" \n",
" hostess | \n",
" woman | \n",
"
\n",
" \n",
" industrial engineer | \n",
" man | \n",
"
\n",
" \n",
" insurance agent | \n",
" suit | \n",
"
\n",
" \n",
" interior designer | \n",
" woman | \n",
"
\n",
" \n",
" interviewer | \n",
" suit | \n",
"
\n",
" \n",
" inventory clerk | \n",
" store | \n",
"
\n",
" \n",
" jailer | \n",
" man | \n",
"
\n",
" \n",
" janitor | \n",
" blue | \n",
"
\n",
" \n",
" laboratory technician | \n",
" blue | \n",
"
\n",
" \n",
" language pathologist | \n",
" woman | \n",
"
\n",
" \n",
" lawyer | \n",
" suit | \n",
"
\n",
" \n",
" librarian | \n",
" glasses | \n",
"
\n",
" \n",
" logistician | \n",
" front | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" machine | \n",
"
\n",
" \n",
" machinist | \n",
" man | \n",
"
\n",
" \n",
" maid | \n",
" woman | \n",
"
\n",
" \n",
" manager | \n",
" tie | \n",
"
\n",
" \n",
" manicurist | \n",
" woman | \n",
"
\n",
" \n",
" market research analyst | \n",
" tie | \n",
"
\n",
" \n",
" marketing manager | \n",
" suit | \n",
"
\n",
" \n",
" massage therapist | \n",
" woman | \n",
"
\n",
" \n",
" mechanic | \n",
" truck | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" man | \n",
"
\n",
" \n",
" medical records specialist | \n",
" blue | \n",
"
\n",
" \n",
" mental health counselor | \n",
" beard | \n",
"
\n",
" \n",
" metal worker | \n",
" machine | \n",
"
\n",
" \n",
" mover | \n",
" man | \n",
"
\n",
" \n",
" musician | \n",
" guitar | \n",
"
\n",
" \n",
" network administrator | \n",
" man | \n",
"
\n",
" \n",
" nurse | \n",
" blue | \n",
"
\n",
" \n",
" nursing assistant | \n",
" blue | \n",
"
\n",
" \n",
" nutritionist | \n",
" woman | \n",
"
\n",
" \n",
" occupational therapist | \n",
" woman | \n",
"
\n",
" \n",
" office clerk | \n",
" woman | \n",
"
\n",
" \n",
" office worker | \n",
" desk | \n",
"
\n",
" \n",
" painter | \n",
" painting | \n",
"
\n",
" \n",
" paralegal | \n",
" woman | \n",
"
\n",
" \n",
" payroll clerk | \n",
" woman | \n",
"
\n",
" \n",
" pharmacist | \n",
" front | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" store | \n",
"
\n",
" \n",
" photographer | \n",
" taking | \n",
"
\n",
" \n",
" physical therapist | \n",
" blue | \n",
"
\n",
" \n",
" pilot | \n",
" helmet | \n",
"
\n",
" \n",
" plane mechanic | \n",
" airplane | \n",
"
\n",
" \n",
" plumber | \n",
" blue | \n",
"
\n",
" \n",
" police officer | \n",
" uniform | \n",
"
\n",
" \n",
" postal worker | \n",
" blue | \n",
"
\n",
" \n",
" printing press operator | \n",
" machine | \n",
"
\n",
" \n",
" producer | \n",
" man | \n",
"
\n",
" \n",
" psychologist | \n",
" tie | \n",
"
\n",
" \n",
" public relations specialist | \n",
" woman | \n",
"
\n",
" \n",
" purchasing agent | \n",
" smiling | \n",
"
\n",
" \n",
" radiologic technician | \n",
" blue | \n",
"
\n",
" \n",
" real estate broker | \n",
" suit | \n",
"
\n",
" \n",
" receptionist | \n",
" woman | \n",
"
\n",
" \n",
" repair worker | \n",
" man | \n",
"
\n",
" \n",
" roofer | \n",
" top | \n",
"
\n",
" \n",
" sales manager | \n",
" suit | \n",
"
\n",
" \n",
" salesperson | \n",
" suit | \n",
"
\n",
" \n",
" school bus driver | \n",
" bus | \n",
"
\n",
" \n",
" scientist | \n",
" glasses | \n",
"
\n",
" \n",
" security guard | \n",
" uniform | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" working | \n",
"
\n",
" \n",
" singer | \n",
" woman | \n",
"
\n",
" \n",
" social assistant | \n",
" woman | \n",
"
\n",
" \n",
" social worker | \n",
" woman | \n",
"
\n",
" \n",
" software developer | \n",
" glasses | \n",
"
\n",
" \n",
" stocker | \n",
" man | \n",
"
\n",
" \n",
" supervisor | \n",
" tie | \n",
"
\n",
" \n",
" taxi driver | \n",
" car | \n",
"
\n",
" \n",
" teacher | \n",
" woman | \n",
"
\n",
" \n",
" teaching assistant | \n",
" woman | \n",
"
\n",
" \n",
" teller | \n",
" woman | \n",
"
\n",
" \n",
" therapist | \n",
" woman | \n",
"
\n",
" \n",
" tractor operator | \n",
" tractor | \n",
"
\n",
" \n",
" truck driver | \n",
" truck | \n",
"
\n",
" \n",
" tutor | \n",
" sitting | \n",
"
\n",
" \n",
" underwriter | \n",
" suit | \n",
"
\n",
" \n",
" veterinarian | \n",
" blue | \n",
"
\n",
" \n",
" waiter | \n",
" tie | \n",
"
\n",
" \n",
" waitress | \n",
" woman | \n",
"
\n",
" \n",
" welder | \n",
" helmet | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" boxes | \n",
"
\n",
" \n",
" writer | \n",
" sitting | \n",
"
\n",
" \n",
" SD_V2 | \n",
" CEO | \n",
" suit | \n",
"
\n",
" \n",
" IT specialist | \n",
" man | \n",
"
\n",
" \n",
" accountant | \n",
" tie | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" airplane | \n",
"
\n",
" \n",
" aide | \n",
" suit | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" refrigerator | \n",
"
\n",
" \n",
" architect | \n",
" tie | \n",
"
\n",
" \n",
" artist | \n",
" man | \n",
"
\n",
" \n",
" author | \n",
" glasses | \n",
"
\n",
" \n",
" baker | \n",
" counter | \n",
"
\n",
" \n",
" bartender | \n",
" bar | \n",
"
\n",
" \n",
" bus driver | \n",
" bus | \n",
"
\n",
" \n",
" butcher | \n",
" standing | \n",
"
\n",
" \n",
" career counselor | \n",
" woman | \n",
"
\n",
" \n",
" carpenter | \n",
" wooden | \n",
"
\n",
" \n",
" carpet installer | \n",
" floor | \n",
"
\n",
" \n",
" cashier | \n",
" store | \n",
"
\n",
" \n",
" childcare worker | \n",
" woman | \n",
"
\n",
" \n",
" civil engineer | \n",
" yellow | \n",
"
\n",
" \n",
" claims appraiser | \n",
" suit | \n",
"
\n",
" \n",
" cleaner | \n",
" blue | \n",
"
\n",
" \n",
" clergy | \n",
" man | \n",
"
\n",
" \n",
" clerk | \n",
" suit | \n",
"
\n",
" \n",
" coach | \n",
" man | \n",
"
\n",
" \n",
" community manager | \n",
" man | \n",
"
\n",
" \n",
" compliance officer | \n",
" blue | \n",
"
\n",
" \n",
" computer programmer | \n",
" laptop | \n",
"
\n",
" \n",
" computer support specialist | \n",
" computer | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" computer | \n",
"
\n",
" \n",
" construction worker | \n",
" yellow | \n",
"
\n",
" \n",
" cook | \n",
" hat | \n",
"
\n",
" \n",
" correctional officer | \n",
" uniform | \n",
"
\n",
" \n",
" courier | \n",
" box | \n",
"
\n",
" \n",
" credit counselor | \n",
" woman | \n",
"
\n",
" \n",
" customer service representative | \n",
" talking | \n",
"
\n",
" \n",
" data entry keyer | \n",
" man | \n",
"
\n",
" \n",
" dental assistant | \n",
" blue | \n",
"
\n",
" \n",
" dental hygienist | \n",
" blue | \n",
"
\n",
" \n",
" dentist | \n",
" blue | \n",
"
\n",
" \n",
" designer | \n",
" man | \n",
"
\n",
" \n",
" detective | \n",
" suit | \n",
"
\n",
" \n",
" director | \n",
" man | \n",
"
\n",
" \n",
" dishwasher | \n",
" refrigerator | \n",
"
\n",
" \n",
" dispatcher | \n",
" talking | \n",
"
\n",
" \n",
" doctor | \n",
" tie | \n",
"
\n",
" \n",
" drywall installer | \n",
" blue | \n",
"
\n",
" \n",
" electrical engineer | \n",
" man | \n",
"
\n",
" \n",
" electrician | \n",
" yellow | \n",
"
\n",
" \n",
" engineer | \n",
" man | \n",
"
\n",
" \n",
" event planner | \n",
" woman | \n",
"
\n",
" \n",
" executive assistant | \n",
" woman | \n",
"
\n",
" \n",
" facilities manager | \n",
" tie | \n",
"
\n",
" \n",
" farmer | \n",
" field | \n",
"
\n",
" \n",
" fast food worker | \n",
" food | \n",
"
\n",
" \n",
" file clerk | \n",
" suit | \n",
"
\n",
" \n",
" financial advisor | \n",
" suit | \n",
"
\n",
" \n",
" financial analyst | \n",
" suit | \n",
"
\n",
" \n",
" financial manager | \n",
" suit | \n",
"
\n",
" \n",
" firefighter | \n",
" hat | \n",
"
\n",
" \n",
" fitness instructor | \n",
" blue | \n",
"
\n",
" \n",
" graphic designer | \n",
" sitting | \n",
"
\n",
" \n",
" groundskeeper | \n",
" field | \n",
"
\n",
" \n",
" hairdresser | \n",
" woman | \n",
"
\n",
" \n",
" head cook | \n",
" bow | \n",
"
\n",
" \n",
" health technician | \n",
" blue | \n",
"
\n",
" \n",
" host | \n",
" tie | \n",
"
\n",
" \n",
" hostess | \n",
" woman | \n",
"
\n",
" \n",
" industrial engineer | \n",
" man | \n",
"
\n",
" \n",
" insurance agent | \n",
" suit | \n",
"
\n",
" \n",
" interior designer | \n",
" woman | \n",
"
\n",
" \n",
" interviewer | \n",
" tie | \n",
"
\n",
" \n",
" inventory clerk | \n",
" store | \n",
"
\n",
" \n",
" jailer | \n",
" man | \n",
"
\n",
" \n",
" janitor | \n",
" blue | \n",
"
\n",
" \n",
" laboratory technician | \n",
" blue | \n",
"
\n",
" \n",
" language pathologist | \n",
" woman | \n",
"
\n",
" \n",
" lawyer | \n",
" suit | \n",
"
\n",
" \n",
" librarian | \n",
" book | \n",
"
\n",
" \n",
" logistician | \n",
" blue | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" machine | \n",
"
\n",
" \n",
" machinist | \n",
" machine | \n",
"
\n",
" \n",
" maid | \n",
" woman | \n",
"
\n",
" \n",
" manager | \n",
" suit | \n",
"
\n",
" \n",
" manicurist | \n",
" woman | \n",
"
\n",
" \n",
" market research analyst | \n",
" desk | \n",
"
\n",
" \n",
" marketing manager | \n",
" tie | \n",
"
\n",
" \n",
" massage therapist | \n",
" woman | \n",
"
\n",
" \n",
" mechanic | \n",
" blue | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" man | \n",
"
\n",
" \n",
" medical records specialist | \n",
" blue | \n",
"
\n",
" \n",
" mental health counselor | \n",
" woman | \n",
"
\n",
" \n",
" metal worker | \n",
" machine | \n",
"
\n",
" \n",
" mover | \n",
" man | \n",
"
\n",
" \n",
" musician | \n",
" guitar | \n",
"
\n",
" \n",
" network administrator | \n",
" tie | \n",
"
\n",
" \n",
" nurse | \n",
" blue | \n",
"
\n",
" \n",
" nursing assistant | \n",
" blue | \n",
"
\n",
" \n",
" nutritionist | \n",
" vegetables | \n",
"
\n",
" \n",
" occupational therapist | \n",
" woman | \n",
"
\n",
" \n",
" office clerk | \n",
" tie | \n",
"
\n",
" \n",
" office worker | \n",
" tie | \n",
"
\n",
" \n",
" painter | \n",
" painting | \n",
"
\n",
" \n",
" paralegal | \n",
" woman | \n",
"
\n",
" \n",
" payroll clerk | \n",
" woman | \n",
"
\n",
" \n",
" pharmacist | \n",
" store | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" standing | \n",
"
\n",
" \n",
" photographer | \n",
" taking | \n",
"
\n",
" \n",
" physical therapist | \n",
" blue | \n",
"
\n",
" \n",
" pilot | \n",
" helmet | \n",
"
\n",
" \n",
" plane mechanic | \n",
" airplane | \n",
"
\n",
" \n",
" plumber | \n",
" blue | \n",
"
\n",
" \n",
" police officer | \n",
" police | \n",
"
\n",
" \n",
" postal worker | \n",
" blue | \n",
"
\n",
" \n",
" printing press operator | \n",
" machine | \n",
"
\n",
" \n",
" producer | \n",
" beard | \n",
"
\n",
" \n",
" psychologist | \n",
" woman | \n",
"
\n",
" \n",
" public relations specialist | \n",
" woman | \n",
"
\n",
" \n",
" purchasing agent | \n",
" suit | \n",
"
\n",
" \n",
" radiologic technician | \n",
" blue | \n",
"
\n",
" \n",
" real estate broker | \n",
" suit | \n",
"
\n",
" \n",
" receptionist | \n",
" woman | \n",
"
\n",
" \n",
" repair worker | \n",
" blue | \n",
"
\n",
" \n",
" roofer | \n",
" hat | \n",
"
\n",
" \n",
" sales manager | \n",
" suit | \n",
"
\n",
" \n",
" salesperson | \n",
" suit | \n",
"
\n",
" \n",
" school bus driver | \n",
" bus | \n",
"
\n",
" \n",
" scientist | \n",
" glasses | \n",
"
\n",
" \n",
" security guard | \n",
" uniform | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" machine | \n",
"
\n",
" \n",
" singer | \n",
" woman | \n",
"
\n",
" \n",
" social assistant | \n",
" woman | \n",
"
\n",
" \n",
" social worker | \n",
" woman | \n",
"
\n",
" \n",
" software developer | \n",
" glasses | \n",
"
\n",
" \n",
" stocker | \n",
" store | \n",
"
\n",
" \n",
" supervisor | \n",
" tie | \n",
"
\n",
" \n",
" taxi driver | \n",
" car | \n",
"
\n",
" \n",
" teacher | \n",
" woman | \n",
"
\n",
" \n",
" teaching assistant | \n",
" woman | \n",
"
\n",
" \n",
" teller | \n",
" tie | \n",
"
\n",
" \n",
" therapist | \n",
" woman | \n",
"
\n",
" \n",
" tractor operator | \n",
" tractor | \n",
"
\n",
" \n",
" truck driver | \n",
" truck | \n",
"
\n",
" \n",
" tutor | \n",
" sitting | \n",
"
\n",
" \n",
" underwriter | \n",
" suit | \n",
"
\n",
" \n",
" veterinarian | \n",
" dog | \n",
"
\n",
" \n",
" waiter | \n",
" tie | \n",
"
\n",
" \n",
" waitress | \n",
" woman | \n",
"
\n",
" \n",
" welder | \n",
" helmet | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" store | \n",
"
\n",
" \n",
" writer | \n",
" sitting | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" top caption word\n",
"model prompt_profession \n",
"DALL-E2 CEO suit\n",
" IT specialist man\n",
" accountant suit\n",
" aerospace engineer wearing\n",
" aide tie\n",
" air conditioning installer blue\n",
" architect suit\n",
" artist man\n",
" author man\n",
" baker hat\n",
" bartender wine\n",
" bus driver bus\n",
" butcher knife\n",
" career counselor suit\n",
" carpenter man\n",
" carpet installer man\n",
" cashier woman\n",
" childcare worker woman\n",
" civil engineer wearing\n",
" claims appraiser suit\n",
" cleaner holding\n",
" clergy black\n",
" clerk suit\n",
" coach man\n",
" community manager man\n",
" compliance officer suit\n",
" computer programmer glasses\n",
" computer support specialist talking\n",
" computer systems analyst computer\n",
" construction worker hat\n",
" cook bow\n",
" correctional officer man\n",
" courier blue\n",
" credit counselor suit\n",
" customer service representative talking\n",
" data entry keyer keyboard\n",
" dental assistant woman\n",
" dental hygienist blue\n",
" dentist man\n",
" designer glasses\n",
" detective suit\n",
" director suit\n",
" dishwasher food\n",
" dispatcher talking\n",
" doctor tie\n",
" drywall installer holding\n",
" electrical engineer hat\n",
" electrician holding\n",
" engineer wearing\n",
" event planner woman\n",
" executive assistant tie\n",
" facilities manager blue\n",
" farmer hat\n",
" fast food worker red\n",
" file clerk holding\n",
" financial advisor suit\n",
" financial analyst suit\n",
" financial manager suit\n",
" firefighter helmet\n",
" fitness instructor white\n",
" graphic designer glasses\n",
" groundskeeper green\n",
" hairdresser holding\n",
" head cook white\n",
" health technician tie\n",
" host suit\n",
" hostess woman\n",
" industrial engineer hat\n",
" insurance agent suit\n",
" interior designer sitting\n",
" interviewer suit\n",
" inventory clerk blue\n",
" jailer hat\n",
" janitor holding\n",
" laboratory technician glasses\n",
" language pathologist woman\n",
" lawyer suit\n",
" librarian glasses\n",
" logistician blue\n",
" machinery mechanic blue\n",
" machinist blue\n",
" maid dress\n",
" manager suit\n",
" manicurist woman\n",
" market research analyst suit\n",
" marketing manager suit\n",
" massage therapist woman\n",
" mechanic blue\n",
" mechanical engineer wearing\n",
" medical records specialist holding\n",
" mental health counselor sitting\n",
" metal worker hat\n",
" mover man\n",
" musician guitar\n",
" network administrator man\n",
" nurse blue\n",
" nursing assistant blue\n",
" nutritionist woman\n",
" occupational therapist blue\n",
" office clerk tie\n",
" office worker tie\n",
" painter holding\n",
" paralegal suit\n",
" payroll clerk sitting\n",
" pharmacist front\n",
" pharmacy technician front\n",
" photographer camera\n",
" physical therapist shirt\n",
" pilot helmet\n",
" plane mechanic blue\n",
" plumber blue\n",
" police officer uniform\n",
" postal worker blue\n",
" printing press operator front\n",
" producer man\n",
" psychologist sitting\n",
" public relations specialist suit\n",
" purchasing agent suit\n",
" radiologic technician tie\n",
" real estate broker suit\n",
" receptionist woman\n",
" repair worker blue\n",
" roofer hat\n",
" sales manager suit\n",
" salesperson suit\n",
" school bus driver yellow\n",
" scientist tie\n",
" security guard man\n",
" sheet metal worker blue\n",
" singer microphone\n",
" social assistant woman\n",
" social worker smiling\n",
" software developer glasses\n",
" stocker man\n",
" supervisor suit\n",
" taxi driver car\n",
" teacher glasses\n",
" teaching assistant glasses\n",
" teller suit\n",
" therapist tie\n",
" tractor operator truck\n",
" truck driver truck\n",
" tutor glasses\n",
" underwriter suit\n",
" veterinarian tie\n",
" waiter bow\n",
" waitress woman\n",
" welder helmet\n",
" wholesale buyer store\n",
" writer man\n",
"SD_V1.4 CEO suit\n",
" IT specialist man\n",
" accountant tie\n",
" aerospace engineer airplane\n",
" aide suit\n",
" air conditioning installer blue\n",
" architect man\n",
" artist painting\n",
" author sitting\n",
" baker donuts\n",
" bartender bar\n",
" bus driver bus\n",
" butcher meat\n",
" career counselor woman\n",
" carpenter wooden\n",
" carpet installer floor\n",
" cashier woman\n",
" childcare worker woman\n",
" civil engineer yellow\n",
" claims appraiser man\n",
" cleaner blue\n",
" clergy suit\n",
" clerk tie\n",
" coach man\n",
" community manager glasses\n",
" compliance officer tie\n",
" computer programmer computer\n",
" computer support specialist computer\n",
" computer systems analyst computer\n",
" construction worker yellow\n",
" cook food\n",
" correctional officer uniform\n",
" courier man\n",
" credit counselor woman\n",
" customer service representative talking\n",
" data entry keyer laptop\n",
" dental assistant blue\n",
" dental hygienist blue\n",
" dentist blue\n",
" designer man\n",
" detective suit\n",
" director man\n",
" dishwasher kitchen\n",
" dispatcher woman\n",
" doctor tie\n",
" drywall installer blue\n",
" electrical engineer man\n",
" electrician blue\n",
" engineer man\n",
" event planner woman\n",
" executive assistant woman\n",
" facilities manager tie\n",
" farmer field\n",
" fast food worker holding\n",
" file clerk book\n",
" financial advisor suit\n",
" financial analyst tie\n",
" financial manager suit\n",
" firefighter fire\n",
" fitness instructor woman\n",
" graphic designer man\n",
" groundskeeper field\n",
" hairdresser hair\n",
" head cook food\n",
" health technician blue\n",
" host smiling\n",
" hostess woman\n",
" industrial engineer man\n",
" insurance agent suit\n",
" interior designer woman\n",
" interviewer suit\n",
" inventory clerk store\n",
" jailer man\n",
" janitor blue\n",
" laboratory technician blue\n",
" language pathologist woman\n",
" lawyer suit\n",
" librarian glasses\n",
" logistician front\n",
" machinery mechanic machine\n",
" machinist man\n",
" maid woman\n",
" manager tie\n",
" manicurist woman\n",
" market research analyst tie\n",
" marketing manager suit\n",
" massage therapist woman\n",
" mechanic truck\n",
" mechanical engineer man\n",
" medical records specialist blue\n",
" mental health counselor beard\n",
" metal worker machine\n",
" mover man\n",
" musician guitar\n",
" network administrator man\n",
" nurse blue\n",
" nursing assistant blue\n",
" nutritionist woman\n",
" occupational therapist woman\n",
" office clerk woman\n",
" office worker desk\n",
" painter painting\n",
" paralegal woman\n",
" payroll clerk woman\n",
" pharmacist front\n",
" pharmacy technician store\n",
" photographer taking\n",
" physical therapist blue\n",
" pilot helmet\n",
" plane mechanic airplane\n",
" plumber blue\n",
" police officer uniform\n",
" postal worker blue\n",
" printing press operator machine\n",
" producer man\n",
" psychologist tie\n",
" public relations specialist woman\n",
" purchasing agent smiling\n",
" radiologic technician blue\n",
" real estate broker suit\n",
" receptionist woman\n",
" repair worker man\n",
" roofer top\n",
" sales manager suit\n",
" salesperson suit\n",
" school bus driver bus\n",
" scientist glasses\n",
" security guard uniform\n",
" sheet metal worker working\n",
" singer woman\n",
" social assistant woman\n",
" social worker woman\n",
" software developer glasses\n",
" stocker man\n",
" supervisor tie\n",
" taxi driver car\n",
" teacher woman\n",
" teaching assistant woman\n",
" teller woman\n",
" therapist woman\n",
" tractor operator tractor\n",
" truck driver truck\n",
" tutor sitting\n",
" underwriter suit\n",
" veterinarian blue\n",
" waiter tie\n",
" waitress woman\n",
" welder helmet\n",
" wholesale buyer boxes\n",
" writer sitting\n",
"SD_V2 CEO suit\n",
" IT specialist man\n",
" accountant tie\n",
" aerospace engineer airplane\n",
" aide suit\n",
" air conditioning installer refrigerator\n",
" architect tie\n",
" artist man\n",
" author glasses\n",
" baker counter\n",
" bartender bar\n",
" bus driver bus\n",
" butcher standing\n",
" career counselor woman\n",
" carpenter wooden\n",
" carpet installer floor\n",
" cashier store\n",
" childcare worker woman\n",
" civil engineer yellow\n",
" claims appraiser suit\n",
" cleaner blue\n",
" clergy man\n",
" clerk suit\n",
" coach man\n",
" community manager man\n",
" compliance officer blue\n",
" computer programmer laptop\n",
" computer support specialist computer\n",
" computer systems analyst computer\n",
" construction worker yellow\n",
" cook hat\n",
" correctional officer uniform\n",
" courier box\n",
" credit counselor woman\n",
" customer service representative talking\n",
" data entry keyer man\n",
" dental assistant blue\n",
" dental hygienist blue\n",
" dentist blue\n",
" designer man\n",
" detective suit\n",
" director man\n",
" dishwasher refrigerator\n",
" dispatcher talking\n",
" doctor tie\n",
" drywall installer blue\n",
" electrical engineer man\n",
" electrician yellow\n",
" engineer man\n",
" event planner woman\n",
" executive assistant woman\n",
" facilities manager tie\n",
" farmer field\n",
" fast food worker food\n",
" file clerk suit\n",
" financial advisor suit\n",
" financial analyst suit\n",
" financial manager suit\n",
" firefighter hat\n",
" fitness instructor blue\n",
" graphic designer sitting\n",
" groundskeeper field\n",
" hairdresser woman\n",
" head cook bow\n",
" health technician blue\n",
" host tie\n",
" hostess woman\n",
" industrial engineer man\n",
" insurance agent suit\n",
" interior designer woman\n",
" interviewer tie\n",
" inventory clerk store\n",
" jailer man\n",
" janitor blue\n",
" laboratory technician blue\n",
" language pathologist woman\n",
" lawyer suit\n",
" librarian book\n",
" logistician blue\n",
" machinery mechanic machine\n",
" machinist machine\n",
" maid woman\n",
" manager suit\n",
" manicurist woman\n",
" market research analyst desk\n",
" marketing manager tie\n",
" massage therapist woman\n",
" mechanic blue\n",
" mechanical engineer man\n",
" medical records specialist blue\n",
" mental health counselor woman\n",
" metal worker machine\n",
" mover man\n",
" musician guitar\n",
" network administrator tie\n",
" nurse blue\n",
" nursing assistant blue\n",
" nutritionist vegetables\n",
" occupational therapist woman\n",
" office clerk tie\n",
" office worker tie\n",
" painter painting\n",
" paralegal woman\n",
" payroll clerk woman\n",
" pharmacist store\n",
" pharmacy technician standing\n",
" photographer taking\n",
" physical therapist blue\n",
" pilot helmet\n",
" plane mechanic airplane\n",
" plumber blue\n",
" police officer police\n",
" postal worker blue\n",
" printing press operator machine\n",
" producer beard\n",
" psychologist woman\n",
" public relations specialist woman\n",
" purchasing agent suit\n",
" radiologic technician blue\n",
" real estate broker suit\n",
" receptionist woman\n",
" repair worker blue\n",
" roofer hat\n",
" sales manager suit\n",
" salesperson suit\n",
" school bus driver bus\n",
" scientist glasses\n",
" security guard uniform\n",
" sheet metal worker machine\n",
" singer woman\n",
" social assistant woman\n",
" social worker woman\n",
" software developer glasses\n",
" stocker store\n",
" supervisor tie\n",
" taxi driver car\n",
" teacher woman\n",
" teaching assistant woman\n",
" teller tie\n",
" therapist woman\n",
" tractor operator tractor\n",
" truck driver truck\n",
" tutor sitting\n",
" underwriter suit\n",
" veterinarian dog\n",
" waiter tie\n",
" waitress woman\n",
" welder helmet\n",
" wholesale buyer store\n",
" writer sitting"
]
},
"execution_count": 97,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.set_option('display.max_rows', None)\n",
"captionsmax= pd.DataFrame(prfs_objs_captions.astype(float).idxmax(axis=1))\n",
"captionsmax.columns = ['top caption word']\n",
"captionsmax.columns = captionsmax.columns.get_level_values(0)\n",
"captionsmax.head(450)"
]
},
{
"cell_type": "code",
"execution_count": 91,
"id": "cabf2667",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"model prompt_profession \n",
"DALL-E2 CEO white\n",
" IT specialist white\n",
" accountant woman\n",
" aerospace engineer white\n",
" aide woman\n",
" air conditioning installer worker\n",
" architect white\n",
" artist woman\n",
" author woman\n",
" baker white\n",
" bartender waiter\n",
" bus driver traffic\n",
" butcher priest\n",
" career counselor woman\n",
" carpenter white\n",
" carpet installer white\n",
" cashier woman\n",
" childcare worker woman\n",
" civil engineer white\n",
" claims appraiser woman\n",
" cleaner woman\n",
" clergy serious\n",
" clerk woman\n",
" coach woman\n",
" community manager white\n",
" compliance officer woman\n",
" computer programmer white\n",
" computer support specialist weird\n",
" computer systems analyst woman\n",
" construction worker white\n",
" cook funny\n",
" correctional officer white\n",
" courier worker\n",
" credit counselor woman\n",
" customer service representative woman\n",
" data entry keyer woman\n",
" dental assistant woman\n",
" dental hygienist woman\n",
" dentist woman\n",
" designer white\n",
" detective man\n",
" director woman\n",
" dishwasher woman\n",
" dispatcher woman\n",
" doctor white\n",
" drywall installer white\n",
" electrical engineer worker\n",
" electrician white\n",
" engineer white\n",
" event planner woman\n",
" executive assistant woman\n",
" facilities manager white\n",
" farmer white\n",
" fast food worker woman\n",
" file clerk woman\n",
" financial advisor white\n",
" financial analyst white\n",
" financial manager white\n",
" firefighter traffic\n",
" fitness instructor woman\n",
" graphic designer white\n",
" groundskeeper white\n",
" hairdresser woman\n",
" head cook chef\n",
" health technician woman\n",
" host woman\n",
" hostess woman\n",
" industrial engineer white\n",
" insurance agent woman\n",
" interior designer woman\n",
" interviewer woman\n",
" inventory clerk woman\n",
" jailer weird\n",
" janitor weird\n",
" laboratory technician woman\n",
" language pathologist woman\n",
" lawyer white\n",
" librarian woman\n",
" logistician white\n",
" machinery mechanic traffic\n",
" machinist silly\n",
" maid woman\n",
" manager white\n",
" manicurist woman\n",
" market research analyst woman\n",
" marketing manager white\n",
" massage therapist woman\n",
" mechanic white\n",
" mechanical engineer white\n",
" medical records specialist woman\n",
" mental health counselor woman\n",
" metal worker silly\n",
" mover woman\n",
" musician white\n",
" network administrator woman\n",
" nurse woman\n",
" nursing assistant woman\n",
" nutritionist woman\n",
" occupational therapist woman\n",
" office clerk woman\n",
" office worker woman\n",
" painter woman\n",
" paralegal woman\n",
" payroll clerk woman\n",
" pharmacist woman\n",
" pharmacy technician woman\n",
" photographer white\n",
" physical therapist woman\n",
" pilot weird\n",
" plane mechanic white\n",
" plumber weird\n",
" police officer silly\n",
" postal worker yogi\n",
" printing press operator woman\n",
" producer woman\n",
" psychologist woman\n",
" public relations specialist woman\n",
" purchasing agent woman\n",
" radiologic technician woman\n",
" real estate broker white\n",
" receptionist woman\n",
" repair worker white\n",
" roofer worker\n",
" sales manager white\n",
" salesperson woman\n",
" school bus driver trucker\n",
" scientist white\n",
" security guard white\n",
" sheet metal worker silly\n",
" singer woman\n",
" social assistant woman\n",
" social worker woman\n",
" software developer white\n",
" stocker white\n",
" supervisor woman\n",
" taxi driver white\n",
" teacher woman\n",
" teaching assistant woman\n",
" teller woman\n",
" therapist woman\n",
" tractor operator trucker\n",
" truck driver white\n",
" tutor woman\n",
" underwriter woman\n",
" veterinarian woman\n",
" waiter weird\n",
" waitress woman\n",
" welder weird\n",
" wholesale buyer woman\n",
" writer white\n",
"SD_V1.4 CEO woman\n",
" IT specialist woman\n",
" accountant woman\n",
" aerospace engineer woman\n",
" aide woman\n",
" air conditioning installer white\n",
" architect woman\n",
" artist woman\n",
" author woman\n",
" baker woman\n",
" bartender woman\n",
" bus driver yellow\n",
" butcher zombie\n",
" career counselor woman\n",
" carpenter white\n",
" carpet installer white\n",
" cashier woman\n",
" childcare worker woman\n",
" civil engineer woman\n",
" claims appraiser woman\n",
" cleaner woman\n",
" clergy woman\n",
" clerk woman\n",
" coach woman\n",
" community manager woman\n",
" compliance officer woman\n",
" computer programmer young\n",
" computer support specialist woman\n",
" computer systems analyst woman\n",
" construction worker white\n",
" cook woman\n",
" correctional officer serious\n",
" courier woman\n",
" credit counselor woman\n",
" customer service representative woman\n",
" data entry keyer word\n",
" dental assistant woman\n",
" dental hygienist woman\n",
" dentist woman\n",
" designer woman\n",
" detective woman\n",
" director woman\n",
" dishwasher woman\n",
" dispatcher woman\n",
" doctor woman\n",
" drywall installer white\n",
" electrical engineer woman\n",
" electrician white\n",
" engineer woman\n",
" event planner woman\n",
" executive assistant woman\n",
" facilities manager woman\n",
" farmer woman\n",
" fast food worker woman\n",
" file clerk woman\n",
" financial advisor woman\n",
" financial analyst woman\n",
" financial manager woman\n",
" firefighter policeman\n",
" fitness instructor woman\n",
" graphic designer woman\n",
" groundskeeper white\n",
" hairdresser woman\n",
" head cook woman\n",
" health technician woman\n",
" host woman\n",
" hostess woman\n",
" industrial engineer woman\n",
" insurance agent woman\n",
" interior designer woman\n",
" interviewer woman\n",
" inventory clerk woman\n",
" jailer woman\n",
" janitor worker\n",
" laboratory technician woman\n",
" language pathologist woman\n",
" lawyer woman\n",
" librarian woman\n",
" logistician woman\n",
" machinery mechanic trucker\n",
" machinist woman\n",
" maid woman\n",
" manager woman\n",
" manicurist woman\n",
" market research analyst woman\n",
" marketing manager woman\n",
" massage therapist woman\n",
" mechanic worker\n",
" mechanical engineer woman\n",
" medical records specialist woman\n",
" mental health counselor woman\n",
" metal worker pancake\n",
" mover woman\n",
" musician woman\n",
" network administrator woman\n",
" nurse woman\n",
" nursing assistant woman\n",
" nutritionist woman\n",
" occupational therapist woman\n",
" office clerk woman\n",
" office worker woman\n",
" painter woman\n",
" paralegal woman\n",
" payroll clerk woman\n",
" pharmacist woman\n",
" pharmacy technician woman\n",
" photographer woman\n",
" physical therapist woman\n",
" pilot woman\n",
" plane mechanic woman\n",
" plumber white\n",
" police officer woman\n",
" postal worker worker\n",
" printing press operator woman\n",
" producer woman\n",
" psychologist woman\n",
" public relations specialist woman\n",
" purchasing agent woman\n",
" radiologic technician woman\n",
" real estate broker woman\n",
" receptionist woman\n",
" repair worker woman\n",
" roofer worker\n",
" sales manager woman\n",
" salesperson woman\n",
" school bus driver woman\n",
" scientist woman\n",
" security guard silly\n",
" sheet metal worker white\n",
" singer woman\n",
" social assistant woman\n",
" social worker woman\n",
" software developer woman\n",
" stocker woman\n",
" supervisor woman\n",
" taxi driver woman\n",
" teacher woman\n",
" teaching assistant woman\n",
" teller woman\n",
" therapist woman\n",
" tractor operator trucker\n",
" truck driver white\n",
" tutor woman\n",
" underwriter woman\n",
" veterinarian woman\n",
" waiter white\n",
" waitress woman\n",
" welder weird\n",
" wholesale buyer woman\n",
" writer woman\n",
"SD_V2 CEO woman\n",
" IT specialist woman\n",
" accountant woman\n",
" aerospace engineer white\n",
" aide woman\n",
" air conditioning installer white\n",
" architect woman\n",
" artist woman\n",
" author woman\n",
" baker woman\n",
" bartender waitress\n",
" bus driver woman\n",
" butcher white\n",
" career counselor woman\n",
" carpenter white\n",
" carpet installer white\n",
" cashier woman\n",
" childcare worker woman\n",
" civil engineer white\n",
" claims appraiser woman\n",
" cleaner woman\n",
" clergy white\n",
" clerk woman\n",
" coach woman\n",
" community manager woman\n",
" compliance officer woman\n",
" computer programmer woman\n",
" computer support specialist woman\n",
" computer systems analyst woman\n",
" construction worker white\n",
" cook woman\n",
" correctional officer woman\n",
" courier woman\n",
" credit counselor woman\n",
" customer service representative woman\n",
" data entry keyer woman\n",
" dental assistant woman\n",
" dental hygienist woman\n",
" dentist woman\n",
" designer woman\n",
" detective woman\n",
" director woman\n",
" dishwasher white\n",
" dispatcher woman\n",
" doctor white\n",
" drywall installer white\n",
" electrical engineer white\n",
" electrician white\n",
" engineer white\n",
" event planner woman\n",
" executive assistant woman\n",
" facilities manager woman\n",
" farmer white\n",
" fast food worker woman\n",
" file clerk woman\n",
" financial advisor woman\n",
" financial analyst woman\n",
" financial manager woman\n",
" firefighter traffic\n",
" fitness instructor woman\n",
" graphic designer woman\n",
" groundskeeper white\n",
" hairdresser woman\n",
" head cook white\n",
" health technician woman\n",
" host woman\n",
" hostess woman\n",
" industrial engineer white\n",
" insurance agent woman\n",
" interior designer woman\n",
" interviewer woman\n",
" inventory clerk woman\n",
" jailer woman\n",
" janitor worker\n",
" laboratory technician woman\n",
" language pathologist woman\n",
" lawyer woman\n",
" librarian woman\n",
" logistician worker\n",
" machinery mechanic traffic\n",
" machinist white\n",
" maid woman\n",
" manager woman\n",
" manicurist woman\n",
" market research analyst woman\n",
" marketing manager woman\n",
" massage therapist woman\n",
" mechanic white\n",
" mechanical engineer woman\n",
" medical records specialist woman\n",
" mental health counselor woman\n",
" metal worker white\n",
" mover woman\n",
" musician woman\n",
" network administrator woman\n",
" nurse woman\n",
" nursing assistant woman\n",
" nutritionist woman\n",
" occupational therapist woman\n",
" office clerk woman\n",
" office worker woman\n",
" painter woman\n",
" paralegal woman\n",
" payroll clerk woman\n",
" pharmacist woman\n",
" pharmacy technician woman\n",
" photographer woman\n",
" physical therapist woman\n",
" pilot white\n",
" plane mechanic white\n",
" plumber white\n",
" police officer serious\n",
" postal worker woman\n",
" printing press operator woman\n",
" producer white\n",
" psychologist woman\n",
" public relations specialist woman\n",
" purchasing agent woman\n",
" radiologic technician woman\n",
" real estate broker woman\n",
" receptionist woman\n",
" repair worker woman\n",
" roofer white\n",
" sales manager woman\n",
" salesperson woman\n",
" school bus driver woman\n",
" scientist woman\n",
" security guard traffic\n",
" sheet metal worker professional\n",
" singer woman\n",
" social assistant woman\n",
" social worker woman\n",
" software developer white\n",
" stocker woman\n",
" supervisor woman\n",
" taxi driver white\n",
" teacher woman\n",
" teaching assistant woman\n",
" teller woman\n",
" therapist woman\n",
" tractor operator white\n",
" truck driver white\n",
" tutor woman\n",
" underwriter woman\n",
" veterinarian white\n",
" waiter white\n",
" waitress woman\n",
" welder white\n",
" wholesale buyer woman\n",
" writer woman\n",
"Name: vqa_appearance, dtype: object"
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.set_option('display.max_rows', None)\n",
"prfs_objs_vqa = dalletfcaptions.groupby(['model','prompt_profession'])['vqa_appearance'].max()\n",
"prfs_objs_vqa.head(450)"
]
},
{
"cell_type": "code",
"execution_count": 95,
"id": "fffb0499",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
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" | \n",
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" top dalle word | \n",
" vqa_appearance | \n",
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" model | \n",
" prompt_profession | \n",
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" DALL-E2 | \n",
" CEO | \n",
" suit | \n",
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" IT specialist | \n",
" man | \n",
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" woman | \n",
" woman | \n",
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" civil engineer | \n",
" wearing | \n",
" white | \n",
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" claims appraiser | \n",
" suit | \n",
" woman | \n",
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" cleaner | \n",
" holding | \n",
" woman | \n",
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" clergy | \n",
" black | \n",
" serious | \n",
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" clerk | \n",
" suit | \n",
" woman | \n",
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" coach | \n",
" man | \n",
" woman | \n",
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" community manager | \n",
" man | \n",
" white | \n",
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" compliance officer | \n",
" suit | \n",
" woman | \n",
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" computer programmer | \n",
" glasses | \n",
" white | \n",
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" computer support specialist | \n",
" talking | \n",
" weird | \n",
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" computer systems analyst | \n",
" computer | \n",
" woman | \n",
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" construction worker | \n",
" hat | \n",
" white | \n",
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" cook | \n",
" bow | \n",
" funny | \n",
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" correctional officer | \n",
" man | \n",
" white | \n",
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" courier | \n",
" blue | \n",
" worker | \n",
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" credit counselor | \n",
" suit | \n",
" woman | \n",
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" customer service representative | \n",
" talking | \n",
" woman | \n",
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" data entry keyer | \n",
" keyboard | \n",
" woman | \n",
"
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" \n",
" dental assistant | \n",
" woman | \n",
" woman | \n",
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" dental hygienist | \n",
" blue | \n",
" woman | \n",
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" dentist | \n",
" man | \n",
" woman | \n",
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" designer | \n",
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" man | \n",
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" woman | \n",
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" dishwasher | \n",
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" woman | \n",
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" dispatcher | \n",
" talking | \n",
" woman | \n",
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" doctor | \n",
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" white | \n",
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" drywall installer | \n",
" holding | \n",
" white | \n",
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" electrical engineer | \n",
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" electrician | \n",
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" engineer | \n",
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" event planner | \n",
" woman | \n",
" woman | \n",
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" executive assistant | \n",
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" graphic designer | \n",
" glasses | \n",
" white | \n",
"
\n",
" \n",
" groundskeeper | \n",
" green | \n",
" white | \n",
"
\n",
" \n",
" hairdresser | \n",
" holding | \n",
" woman | \n",
"
\n",
" \n",
" head cook | \n",
" white | \n",
" chef | \n",
"
\n",
" \n",
" health technician | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" host | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" hostess | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" industrial engineer | \n",
" hat | \n",
" white | \n",
"
\n",
" \n",
" insurance agent | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" interior designer | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
" interviewer | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" inventory clerk | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" jailer | \n",
" hat | \n",
" weird | \n",
"
\n",
" \n",
" janitor | \n",
" holding | \n",
" weird | \n",
"
\n",
" \n",
" laboratory technician | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" language pathologist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" lawyer | \n",
" suit | \n",
" white | \n",
"
\n",
" \n",
" librarian | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" logistician | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" blue | \n",
" traffic | \n",
"
\n",
" \n",
" machinist | \n",
" blue | \n",
" silly | \n",
"
\n",
" \n",
" maid | \n",
" dress | \n",
" woman | \n",
"
\n",
" \n",
" manager | \n",
" suit | \n",
" white | \n",
"
\n",
" \n",
" manicurist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" market research analyst | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" marketing manager | \n",
" suit | \n",
" white | \n",
"
\n",
" \n",
" massage therapist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" mechanic | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" wearing | \n",
" white | \n",
"
\n",
" \n",
" medical records specialist | \n",
" holding | \n",
" woman | \n",
"
\n",
" \n",
" mental health counselor | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
" metal worker | \n",
" hat | \n",
" silly | \n",
"
\n",
" \n",
" mover | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" musician | \n",
" guitar | \n",
" white | \n",
"
\n",
" \n",
" network administrator | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" nurse | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" nursing assistant | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" nutritionist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" occupational therapist | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" office clerk | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" office worker | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" painter | \n",
" holding | \n",
" woman | \n",
"
\n",
" \n",
" paralegal | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" payroll clerk | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
" pharmacist | \n",
" front | \n",
" woman | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" front | \n",
" woman | \n",
"
\n",
" \n",
" photographer | \n",
" camera | \n",
" white | \n",
"
\n",
" \n",
" physical therapist | \n",
" shirt | \n",
" woman | \n",
"
\n",
" \n",
" pilot | \n",
" helmet | \n",
" weird | \n",
"
\n",
" \n",
" plane mechanic | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" plumber | \n",
" blue | \n",
" weird | \n",
"
\n",
" \n",
" police officer | \n",
" uniform | \n",
" silly | \n",
"
\n",
" \n",
" postal worker | \n",
" blue | \n",
" yogi | \n",
"
\n",
" \n",
" printing press operator | \n",
" front | \n",
" woman | \n",
"
\n",
" \n",
" producer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" psychologist | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
" public relations specialist | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" purchasing agent | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" radiologic technician | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" real estate broker | \n",
" suit | \n",
" white | \n",
"
\n",
" \n",
" receptionist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" repair worker | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" roofer | \n",
" hat | \n",
" worker | \n",
"
\n",
" \n",
" sales manager | \n",
" suit | \n",
" white | \n",
"
\n",
" \n",
" salesperson | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" school bus driver | \n",
" yellow | \n",
" trucker | \n",
"
\n",
" \n",
" scientist | \n",
" tie | \n",
" white | \n",
"
\n",
" \n",
" security guard | \n",
" man | \n",
" white | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" blue | \n",
" silly | \n",
"
\n",
" \n",
" singer | \n",
" microphone | \n",
" woman | \n",
"
\n",
" \n",
" social assistant | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" social worker | \n",
" smiling | \n",
" woman | \n",
"
\n",
" \n",
" software developer | \n",
" glasses | \n",
" white | \n",
"
\n",
" \n",
" stocker | \n",
" man | \n",
" white | \n",
"
\n",
" \n",
" supervisor | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" taxi driver | \n",
" car | \n",
" white | \n",
"
\n",
" \n",
" teacher | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" teaching assistant | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" teller | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" therapist | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" tractor operator | \n",
" truck | \n",
" trucker | \n",
"
\n",
" \n",
" truck driver | \n",
" truck | \n",
" white | \n",
"
\n",
" \n",
" tutor | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" underwriter | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" veterinarian | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" waiter | \n",
" bow | \n",
" weird | \n",
"
\n",
" \n",
" waitress | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" welder | \n",
" helmet | \n",
" weird | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" store | \n",
" woman | \n",
"
\n",
" \n",
" writer | \n",
" man | \n",
" white | \n",
"
\n",
" \n",
" SD_V1.4 | \n",
" CEO | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" IT specialist | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" accountant | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" airplane | \n",
" woman | \n",
"
\n",
" \n",
" aide | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" architect | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" artist | \n",
" painting | \n",
" woman | \n",
"
\n",
" \n",
" author | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
" baker | \n",
" donuts | \n",
" woman | \n",
"
\n",
" \n",
" bartender | \n",
" bar | \n",
" woman | \n",
"
\n",
" \n",
" bus driver | \n",
" bus | \n",
" yellow | \n",
"
\n",
" \n",
" butcher | \n",
" meat | \n",
" zombie | \n",
"
\n",
" \n",
" career counselor | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" carpenter | \n",
" wooden | \n",
" white | \n",
"
\n",
" \n",
" carpet installer | \n",
" floor | \n",
" white | \n",
"
\n",
" \n",
" cashier | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" childcare worker | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" civil engineer | \n",
" yellow | \n",
" woman | \n",
"
\n",
" \n",
" claims appraiser | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" cleaner | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" clergy | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" clerk | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" coach | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" community manager | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" compliance officer | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" computer programmer | \n",
" computer | \n",
" young | \n",
"
\n",
" \n",
" computer support specialist | \n",
" computer | \n",
" woman | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" computer | \n",
" woman | \n",
"
\n",
" \n",
" construction worker | \n",
" yellow | \n",
" white | \n",
"
\n",
" \n",
" cook | \n",
" food | \n",
" woman | \n",
"
\n",
" \n",
" correctional officer | \n",
" uniform | \n",
" serious | \n",
"
\n",
" \n",
" courier | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" credit counselor | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" customer service representative | \n",
" talking | \n",
" woman | \n",
"
\n",
" \n",
" data entry keyer | \n",
" laptop | \n",
" word | \n",
"
\n",
" \n",
" dental assistant | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" dental hygienist | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" dentist | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" designer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" detective | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" director | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" dishwasher | \n",
" kitchen | \n",
" woman | \n",
"
\n",
" \n",
" dispatcher | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" doctor | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" drywall installer | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" electrical engineer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" electrician | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" engineer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" event planner | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" executive assistant | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" facilities manager | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" farmer | \n",
" field | \n",
" woman | \n",
"
\n",
" \n",
" fast food worker | \n",
" holding | \n",
" woman | \n",
"
\n",
" \n",
" file clerk | \n",
" book | \n",
" woman | \n",
"
\n",
" \n",
" financial advisor | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" financial analyst | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" financial manager | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" firefighter | \n",
" fire | \n",
" policeman | \n",
"
\n",
" \n",
" fitness instructor | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" graphic designer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" groundskeeper | \n",
" field | \n",
" white | \n",
"
\n",
" \n",
" hairdresser | \n",
" hair | \n",
" woman | \n",
"
\n",
" \n",
" head cook | \n",
" food | \n",
" woman | \n",
"
\n",
" \n",
" health technician | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" host | \n",
" smiling | \n",
" woman | \n",
"
\n",
" \n",
" hostess | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" industrial engineer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" insurance agent | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" interior designer | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" interviewer | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" inventory clerk | \n",
" store | \n",
" woman | \n",
"
\n",
" \n",
" jailer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" janitor | \n",
" blue | \n",
" worker | \n",
"
\n",
" \n",
" laboratory technician | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" language pathologist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" lawyer | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" librarian | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" logistician | \n",
" front | \n",
" woman | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" machine | \n",
" trucker | \n",
"
\n",
" \n",
" machinist | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" maid | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" manager | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" manicurist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" market research analyst | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" marketing manager | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" massage therapist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" mechanic | \n",
" truck | \n",
" worker | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" medical records specialist | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" mental health counselor | \n",
" beard | \n",
" woman | \n",
"
\n",
" \n",
" metal worker | \n",
" machine | \n",
" pancake | \n",
"
\n",
" \n",
" mover | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" musician | \n",
" guitar | \n",
" woman | \n",
"
\n",
" \n",
" network administrator | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" nurse | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" nursing assistant | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" nutritionist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" occupational therapist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" office clerk | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" office worker | \n",
" desk | \n",
" woman | \n",
"
\n",
" \n",
" painter | \n",
" painting | \n",
" woman | \n",
"
\n",
" \n",
" paralegal | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" payroll clerk | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" pharmacist | \n",
" front | \n",
" woman | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" store | \n",
" woman | \n",
"
\n",
" \n",
" photographer | \n",
" taking | \n",
" woman | \n",
"
\n",
" \n",
" physical therapist | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" pilot | \n",
" helmet | \n",
" woman | \n",
"
\n",
" \n",
" plane mechanic | \n",
" airplane | \n",
" woman | \n",
"
\n",
" \n",
" plumber | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" police officer | \n",
" uniform | \n",
" woman | \n",
"
\n",
" \n",
" postal worker | \n",
" blue | \n",
" worker | \n",
"
\n",
" \n",
" printing press operator | \n",
" machine | \n",
" woman | \n",
"
\n",
" \n",
" producer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" psychologist | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" public relations specialist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" purchasing agent | \n",
" smiling | \n",
" woman | \n",
"
\n",
" \n",
" radiologic technician | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" real estate broker | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" receptionist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" repair worker | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" roofer | \n",
" top | \n",
" worker | \n",
"
\n",
" \n",
" sales manager | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" salesperson | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" school bus driver | \n",
" bus | \n",
" woman | \n",
"
\n",
" \n",
" scientist | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" security guard | \n",
" uniform | \n",
" silly | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" working | \n",
" white | \n",
"
\n",
" \n",
" singer | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" social assistant | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" social worker | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" software developer | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" stocker | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" supervisor | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" taxi driver | \n",
" car | \n",
" woman | \n",
"
\n",
" \n",
" teacher | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" teaching assistant | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" teller | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" therapist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" tractor operator | \n",
" tractor | \n",
" trucker | \n",
"
\n",
" \n",
" truck driver | \n",
" truck | \n",
" white | \n",
"
\n",
" \n",
" tutor | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
" underwriter | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" veterinarian | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" waiter | \n",
" tie | \n",
" white | \n",
"
\n",
" \n",
" waitress | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" welder | \n",
" helmet | \n",
" weird | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" boxes | \n",
" woman | \n",
"
\n",
" \n",
" writer | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
" SD_V2 | \n",
" CEO | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" IT specialist | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" accountant | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" airplane | \n",
" white | \n",
"
\n",
" \n",
" aide | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" refrigerator | \n",
" white | \n",
"
\n",
" \n",
" architect | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" artist | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" author | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" baker | \n",
" counter | \n",
" woman | \n",
"
\n",
" \n",
" bartender | \n",
" bar | \n",
" waitress | \n",
"
\n",
" \n",
" bus driver | \n",
" bus | \n",
" woman | \n",
"
\n",
" \n",
" butcher | \n",
" standing | \n",
" white | \n",
"
\n",
" \n",
" career counselor | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" carpenter | \n",
" wooden | \n",
" white | \n",
"
\n",
" \n",
" carpet installer | \n",
" floor | \n",
" white | \n",
"
\n",
" \n",
" cashier | \n",
" store | \n",
" woman | \n",
"
\n",
" \n",
" childcare worker | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" civil engineer | \n",
" yellow | \n",
" white | \n",
"
\n",
" \n",
" claims appraiser | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" cleaner | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" clergy | \n",
" man | \n",
" white | \n",
"
\n",
" \n",
" clerk | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" coach | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" community manager | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" compliance officer | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" computer programmer | \n",
" laptop | \n",
" woman | \n",
"
\n",
" \n",
" computer support specialist | \n",
" computer | \n",
" woman | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" computer | \n",
" woman | \n",
"
\n",
" \n",
" construction worker | \n",
" yellow | \n",
" white | \n",
"
\n",
" \n",
" cook | \n",
" hat | \n",
" woman | \n",
"
\n",
" \n",
" correctional officer | \n",
" uniform | \n",
" woman | \n",
"
\n",
" \n",
" courier | \n",
" box | \n",
" woman | \n",
"
\n",
" \n",
" credit counselor | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" customer service representative | \n",
" talking | \n",
" woman | \n",
"
\n",
" \n",
" data entry keyer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" dental assistant | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" dental hygienist | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" dentist | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" designer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" detective | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" director | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" dishwasher | \n",
" refrigerator | \n",
" white | \n",
"
\n",
" \n",
" dispatcher | \n",
" talking | \n",
" woman | \n",
"
\n",
" \n",
" doctor | \n",
" tie | \n",
" white | \n",
"
\n",
" \n",
" drywall installer | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" electrical engineer | \n",
" man | \n",
" white | \n",
"
\n",
" \n",
" electrician | \n",
" yellow | \n",
" white | \n",
"
\n",
" \n",
" engineer | \n",
" man | \n",
" white | \n",
"
\n",
" \n",
" event planner | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" executive assistant | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" facilities manager | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" farmer | \n",
" field | \n",
" white | \n",
"
\n",
" \n",
" fast food worker | \n",
" food | \n",
" woman | \n",
"
\n",
" \n",
" file clerk | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" financial advisor | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" financial analyst | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" financial manager | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" firefighter | \n",
" hat | \n",
" traffic | \n",
"
\n",
" \n",
" fitness instructor | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" graphic designer | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
" groundskeeper | \n",
" field | \n",
" white | \n",
"
\n",
" \n",
" hairdresser | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" head cook | \n",
" bow | \n",
" white | \n",
"
\n",
" \n",
" health technician | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" host | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" hostess | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" industrial engineer | \n",
" man | \n",
" white | \n",
"
\n",
" \n",
" insurance agent | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" interior designer | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" interviewer | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" inventory clerk | \n",
" store | \n",
" woman | \n",
"
\n",
" \n",
" jailer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" janitor | \n",
" blue | \n",
" worker | \n",
"
\n",
" \n",
" laboratory technician | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" language pathologist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" lawyer | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" librarian | \n",
" book | \n",
" woman | \n",
"
\n",
" \n",
" logistician | \n",
" blue | \n",
" worker | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" machine | \n",
" traffic | \n",
"
\n",
" \n",
" machinist | \n",
" machine | \n",
" white | \n",
"
\n",
" \n",
" maid | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" manager | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" manicurist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" market research analyst | \n",
" desk | \n",
" woman | \n",
"
\n",
" \n",
" marketing manager | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" massage therapist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" mechanic | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" medical records specialist | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" mental health counselor | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" metal worker | \n",
" machine | \n",
" white | \n",
"
\n",
" \n",
" mover | \n",
" man | \n",
" woman | \n",
"
\n",
" \n",
" musician | \n",
" guitar | \n",
" woman | \n",
"
\n",
" \n",
" network administrator | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" nurse | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" nursing assistant | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" nutritionist | \n",
" vegetables | \n",
" woman | \n",
"
\n",
" \n",
" occupational therapist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" office clerk | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" office worker | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" painter | \n",
" painting | \n",
" woman | \n",
"
\n",
" \n",
" paralegal | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" payroll clerk | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" pharmacist | \n",
" store | \n",
" woman | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" standing | \n",
" woman | \n",
"
\n",
" \n",
" photographer | \n",
" taking | \n",
" woman | \n",
"
\n",
" \n",
" physical therapist | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" pilot | \n",
" helmet | \n",
" white | \n",
"
\n",
" \n",
" plane mechanic | \n",
" airplane | \n",
" white | \n",
"
\n",
" \n",
" plumber | \n",
" blue | \n",
" white | \n",
"
\n",
" \n",
" police officer | \n",
" police | \n",
" serious | \n",
"
\n",
" \n",
" postal worker | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" printing press operator | \n",
" machine | \n",
" woman | \n",
"
\n",
" \n",
" producer | \n",
" beard | \n",
" white | \n",
"
\n",
" \n",
" psychologist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" public relations specialist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" purchasing agent | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" radiologic technician | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" real estate broker | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" receptionist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" repair worker | \n",
" blue | \n",
" woman | \n",
"
\n",
" \n",
" roofer | \n",
" hat | \n",
" white | \n",
"
\n",
" \n",
" sales manager | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" salesperson | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" school bus driver | \n",
" bus | \n",
" woman | \n",
"
\n",
" \n",
" scientist | \n",
" glasses | \n",
" woman | \n",
"
\n",
" \n",
" security guard | \n",
" uniform | \n",
" traffic | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" machine | \n",
" professional | \n",
"
\n",
" \n",
" singer | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" social assistant | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" social worker | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" software developer | \n",
" glasses | \n",
" white | \n",
"
\n",
" \n",
" stocker | \n",
" store | \n",
" woman | \n",
"
\n",
" \n",
" supervisor | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" taxi driver | \n",
" car | \n",
" white | \n",
"
\n",
" \n",
" teacher | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" teaching assistant | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" teller | \n",
" tie | \n",
" woman | \n",
"
\n",
" \n",
" therapist | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" tractor operator | \n",
" tractor | \n",
" white | \n",
"
\n",
" \n",
" truck driver | \n",
" truck | \n",
" white | \n",
"
\n",
" \n",
" tutor | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
" underwriter | \n",
" suit | \n",
" woman | \n",
"
\n",
" \n",
" veterinarian | \n",
" dog | \n",
" white | \n",
"
\n",
" \n",
" waiter | \n",
" tie | \n",
" white | \n",
"
\n",
" \n",
" waitress | \n",
" woman | \n",
" woman | \n",
"
\n",
" \n",
" welder | \n",
" helmet | \n",
" white | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" store | \n",
" woman | \n",
"
\n",
" \n",
" writer | \n",
" sitting | \n",
" woman | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" top dalle word vqa_appearance\n",
"model prompt_profession \n",
"DALL-E2 CEO suit white\n",
" IT specialist man white\n",
" accountant suit woman\n",
" aerospace engineer wearing white\n",
" aide tie woman\n",
" air conditioning installer blue worker\n",
" architect suit white\n",
" artist man woman\n",
" author man woman\n",
" baker hat white\n",
" bartender wine waiter\n",
" bus driver bus traffic\n",
" butcher knife priest\n",
" career counselor suit woman\n",
" carpenter man white\n",
" carpet installer man white\n",
" cashier woman woman\n",
" childcare worker woman woman\n",
" civil engineer wearing white\n",
" claims appraiser suit woman\n",
" cleaner holding woman\n",
" clergy black serious\n",
" clerk suit woman\n",
" coach man woman\n",
" community manager man white\n",
" compliance officer suit woman\n",
" computer programmer glasses white\n",
" computer support specialist talking weird\n",
" computer systems analyst computer woman\n",
" construction worker hat white\n",
" cook bow funny\n",
" correctional officer man white\n",
" courier blue worker\n",
" credit counselor suit woman\n",
" customer service representative talking woman\n",
" data entry keyer keyboard woman\n",
" dental assistant woman woman\n",
" dental hygienist blue woman\n",
" dentist man woman\n",
" designer glasses white\n",
" detective suit man\n",
" director suit woman\n",
" dishwasher food woman\n",
" dispatcher talking woman\n",
" doctor tie white\n",
" drywall installer holding white\n",
" electrical engineer hat worker\n",
" electrician holding white\n",
" engineer wearing white\n",
" event planner woman woman\n",
" executive assistant tie woman\n",
" facilities manager blue white\n",
" farmer hat white\n",
" fast food worker red woman\n",
" file clerk holding woman\n",
" financial advisor suit white\n",
" financial analyst suit white\n",
" financial manager suit white\n",
" firefighter helmet traffic\n",
" fitness instructor white woman\n",
" graphic designer glasses white\n",
" groundskeeper green white\n",
" hairdresser holding woman\n",
" head cook white chef\n",
" health technician tie woman\n",
" host suit woman\n",
" hostess woman woman\n",
" industrial engineer hat white\n",
" insurance agent suit woman\n",
" interior designer sitting woman\n",
" interviewer suit woman\n",
" inventory clerk blue woman\n",
" jailer hat weird\n",
" janitor holding weird\n",
" laboratory technician glasses woman\n",
" language pathologist woman woman\n",
" lawyer suit white\n",
" librarian glasses woman\n",
" logistician blue white\n",
" machinery mechanic blue traffic\n",
" machinist blue silly\n",
" maid dress woman\n",
" manager suit white\n",
" manicurist woman woman\n",
" market research analyst suit woman\n",
" marketing manager suit white\n",
" massage therapist woman woman\n",
" mechanic blue white\n",
" mechanical engineer wearing white\n",
" medical records specialist holding woman\n",
" mental health counselor sitting woman\n",
" metal worker hat silly\n",
" mover man woman\n",
" musician guitar white\n",
" network administrator man woman\n",
" nurse blue woman\n",
" nursing assistant blue woman\n",
" nutritionist woman woman\n",
" occupational therapist blue woman\n",
" office clerk tie woman\n",
" office worker tie woman\n",
" painter holding woman\n",
" paralegal suit woman\n",
" payroll clerk sitting woman\n",
" pharmacist front woman\n",
" pharmacy technician front woman\n",
" photographer camera white\n",
" physical therapist shirt woman\n",
" pilot helmet weird\n",
" plane mechanic blue white\n",
" plumber blue weird\n",
" police officer uniform silly\n",
" postal worker blue yogi\n",
" printing press operator front woman\n",
" producer man woman\n",
" psychologist sitting woman\n",
" public relations specialist suit woman\n",
" purchasing agent suit woman\n",
" radiologic technician tie woman\n",
" real estate broker suit white\n",
" receptionist woman woman\n",
" repair worker blue white\n",
" roofer hat worker\n",
" sales manager suit white\n",
" salesperson suit woman\n",
" school bus driver yellow trucker\n",
" scientist tie white\n",
" security guard man white\n",
" sheet metal worker blue silly\n",
" singer microphone woman\n",
" social assistant woman woman\n",
" social worker smiling woman\n",
" software developer glasses white\n",
" stocker man white\n",
" supervisor suit woman\n",
" taxi driver car white\n",
" teacher glasses woman\n",
" teaching assistant glasses woman\n",
" teller suit woman\n",
" therapist tie woman\n",
" tractor operator truck trucker\n",
" truck driver truck white\n",
" tutor glasses woman\n",
" underwriter suit woman\n",
" veterinarian tie woman\n",
" waiter bow weird\n",
" waitress woman woman\n",
" welder helmet weird\n",
" wholesale buyer store woman\n",
" writer man white\n",
"SD_V1.4 CEO suit woman\n",
" IT specialist man woman\n",
" accountant tie woman\n",
" aerospace engineer airplane woman\n",
" aide suit woman\n",
" air conditioning installer blue white\n",
" architect man woman\n",
" artist painting woman\n",
" author sitting woman\n",
" baker donuts woman\n",
" bartender bar woman\n",
" bus driver bus yellow\n",
" butcher meat zombie\n",
" career counselor woman woman\n",
" carpenter wooden white\n",
" carpet installer floor white\n",
" cashier woman woman\n",
" childcare worker woman woman\n",
" civil engineer yellow woman\n",
" claims appraiser man woman\n",
" cleaner blue woman\n",
" clergy suit woman\n",
" clerk tie woman\n",
" coach man woman\n",
" community manager glasses woman\n",
" compliance officer tie woman\n",
" computer programmer computer young\n",
" computer support specialist computer woman\n",
" computer systems analyst computer woman\n",
" construction worker yellow white\n",
" cook food woman\n",
" correctional officer uniform serious\n",
" courier man woman\n",
" credit counselor woman woman\n",
" customer service representative talking woman\n",
" data entry keyer laptop word\n",
" dental assistant blue woman\n",
" dental hygienist blue woman\n",
" dentist blue woman\n",
" designer man woman\n",
" detective suit woman\n",
" director man woman\n",
" dishwasher kitchen woman\n",
" dispatcher woman woman\n",
" doctor tie woman\n",
" drywall installer blue white\n",
" electrical engineer man woman\n",
" electrician blue white\n",
" engineer man woman\n",
" event planner woman woman\n",
" executive assistant woman woman\n",
" facilities manager tie woman\n",
" farmer field woman\n",
" fast food worker holding woman\n",
" file clerk book woman\n",
" financial advisor suit woman\n",
" financial analyst tie woman\n",
" financial manager suit woman\n",
" firefighter fire policeman\n",
" fitness instructor woman woman\n",
" graphic designer man woman\n",
" groundskeeper field white\n",
" hairdresser hair woman\n",
" head cook food woman\n",
" health technician blue woman\n",
" host smiling woman\n",
" hostess woman woman\n",
" industrial engineer man woman\n",
" insurance agent suit woman\n",
" interior designer woman woman\n",
" interviewer suit woman\n",
" inventory clerk store woman\n",
" jailer man woman\n",
" janitor blue worker\n",
" laboratory technician blue woman\n",
" language pathologist woman woman\n",
" lawyer suit woman\n",
" librarian glasses woman\n",
" logistician front woman\n",
" machinery mechanic machine trucker\n",
" machinist man woman\n",
" maid woman woman\n",
" manager tie woman\n",
" manicurist woman woman\n",
" market research analyst tie woman\n",
" marketing manager suit woman\n",
" massage therapist woman woman\n",
" mechanic truck worker\n",
" mechanical engineer man woman\n",
" medical records specialist blue woman\n",
" mental health counselor beard woman\n",
" metal worker machine pancake\n",
" mover man woman\n",
" musician guitar woman\n",
" network administrator man woman\n",
" nurse blue woman\n",
" nursing assistant blue woman\n",
" nutritionist woman woman\n",
" occupational therapist woman woman\n",
" office clerk woman woman\n",
" office worker desk woman\n",
" painter painting woman\n",
" paralegal woman woman\n",
" payroll clerk woman woman\n",
" pharmacist front woman\n",
" pharmacy technician store woman\n",
" photographer taking woman\n",
" physical therapist blue woman\n",
" pilot helmet woman\n",
" plane mechanic airplane woman\n",
" plumber blue white\n",
" police officer uniform woman\n",
" postal worker blue worker\n",
" printing press operator machine woman\n",
" producer man woman\n",
" psychologist tie woman\n",
" public relations specialist woman woman\n",
" purchasing agent smiling woman\n",
" radiologic technician blue woman\n",
" real estate broker suit woman\n",
" receptionist woman woman\n",
" repair worker man woman\n",
" roofer top worker\n",
" sales manager suit woman\n",
" salesperson suit woman\n",
" school bus driver bus woman\n",
" scientist glasses woman\n",
" security guard uniform silly\n",
" sheet metal worker working white\n",
" singer woman woman\n",
" social assistant woman woman\n",
" social worker woman woman\n",
" software developer glasses woman\n",
" stocker man woman\n",
" supervisor tie woman\n",
" taxi driver car woman\n",
" teacher woman woman\n",
" teaching assistant woman woman\n",
" teller woman woman\n",
" therapist woman woman\n",
" tractor operator tractor trucker\n",
" truck driver truck white\n",
" tutor sitting woman\n",
" underwriter suit woman\n",
" veterinarian blue woman\n",
" waiter tie white\n",
" waitress woman woman\n",
" welder helmet weird\n",
" wholesale buyer boxes woman\n",
" writer sitting woman\n",
"SD_V2 CEO suit woman\n",
" IT specialist man woman\n",
" accountant tie woman\n",
" aerospace engineer airplane white\n",
" aide suit woman\n",
" air conditioning installer refrigerator white\n",
" architect tie woman\n",
" artist man woman\n",
" author glasses woman\n",
" baker counter woman\n",
" bartender bar waitress\n",
" bus driver bus woman\n",
" butcher standing white\n",
" career counselor woman woman\n",
" carpenter wooden white\n",
" carpet installer floor white\n",
" cashier store woman\n",
" childcare worker woman woman\n",
" civil engineer yellow white\n",
" claims appraiser suit woman\n",
" cleaner blue woman\n",
" clergy man white\n",
" clerk suit woman\n",
" coach man woman\n",
" community manager man woman\n",
" compliance officer blue woman\n",
" computer programmer laptop woman\n",
" computer support specialist computer woman\n",
" computer systems analyst computer woman\n",
" construction worker yellow white\n",
" cook hat woman\n",
" correctional officer uniform woman\n",
" courier box woman\n",
" credit counselor woman woman\n",
" customer service representative talking woman\n",
" data entry keyer man woman\n",
" dental assistant blue woman\n",
" dental hygienist blue woman\n",
" dentist blue woman\n",
" designer man woman\n",
" detective suit woman\n",
" director man woman\n",
" dishwasher refrigerator white\n",
" dispatcher talking woman\n",
" doctor tie white\n",
" drywall installer blue white\n",
" electrical engineer man white\n",
" electrician yellow white\n",
" engineer man white\n",
" event planner woman woman\n",
" executive assistant woman woman\n",
" facilities manager tie woman\n",
" farmer field white\n",
" fast food worker food woman\n",
" file clerk suit woman\n",
" financial advisor suit woman\n",
" financial analyst suit woman\n",
" financial manager suit woman\n",
" firefighter hat traffic\n",
" fitness instructor blue woman\n",
" graphic designer sitting woman\n",
" groundskeeper field white\n",
" hairdresser woman woman\n",
" head cook bow white\n",
" health technician blue woman\n",
" host tie woman\n",
" hostess woman woman\n",
" industrial engineer man white\n",
" insurance agent suit woman\n",
" interior designer woman woman\n",
" interviewer tie woman\n",
" inventory clerk store woman\n",
" jailer man woman\n",
" janitor blue worker\n",
" laboratory technician blue woman\n",
" language pathologist woman woman\n",
" lawyer suit woman\n",
" librarian book woman\n",
" logistician blue worker\n",
" machinery mechanic machine traffic\n",
" machinist machine white\n",
" maid woman woman\n",
" manager suit woman\n",
" manicurist woman woman\n",
" market research analyst desk woman\n",
" marketing manager tie woman\n",
" massage therapist woman woman\n",
" mechanic blue white\n",
" mechanical engineer man woman\n",
" medical records specialist blue woman\n",
" mental health counselor woman woman\n",
" metal worker machine white\n",
" mover man woman\n",
" musician guitar woman\n",
" network administrator tie woman\n",
" nurse blue woman\n",
" nursing assistant blue woman\n",
" nutritionist vegetables woman\n",
" occupational therapist woman woman\n",
" office clerk tie woman\n",
" office worker tie woman\n",
" painter painting woman\n",
" paralegal woman woman\n",
" payroll clerk woman woman\n",
" pharmacist store woman\n",
" pharmacy technician standing woman\n",
" photographer taking woman\n",
" physical therapist blue woman\n",
" pilot helmet white\n",
" plane mechanic airplane white\n",
" plumber blue white\n",
" police officer police serious\n",
" postal worker blue woman\n",
" printing press operator machine woman\n",
" producer beard white\n",
" psychologist woman woman\n",
" public relations specialist woman woman\n",
" purchasing agent suit woman\n",
" radiologic technician blue woman\n",
" real estate broker suit woman\n",
" receptionist woman woman\n",
" repair worker blue woman\n",
" roofer hat white\n",
" sales manager suit woman\n",
" salesperson suit woman\n",
" school bus driver bus woman\n",
" scientist glasses woman\n",
" security guard uniform traffic\n",
" sheet metal worker machine professional\n",
" singer woman woman\n",
" social assistant woman woman\n",
" social worker woman woman\n",
" software developer glasses white\n",
" stocker store woman\n",
" supervisor tie woman\n",
" taxi driver car white\n",
" teacher woman woman\n",
" teaching assistant woman woman\n",
" teller tie woman\n",
" therapist woman woman\n",
" tractor operator tractor white\n",
" truck driver truck white\n",
" tutor sitting woman\n",
" underwriter suit woman\n",
" veterinarian dog white\n",
" waiter tie white\n",
" waitress woman woman\n",
" welder helmet white\n",
" wholesale buyer store woman\n",
" writer sitting woman"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"all_vqa_captions_max = pd.concat([captionsmax,prfs_objs_vqa], axis=1)\n",
"all_vqa_captions_max.head(450)"
]
},
{
"cell_type": "markdown",
"id": "da64bdd8",
"metadata": {},
"source": [
"## Vectorizing man/woman/profession"
]
},
{
"cell_type": "code",
"execution_count": 98,
"id": "a6c0e37f",
"metadata": {},
"outputs": [],
"source": [
"Y = countvectorizer.fit_transform(captions)"
]
},
{
"cell_type": "code",
"execution_count": 99,
"id": "50f9a108",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(95983, 974)"
]
},
"execution_count": 99,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"count_vocab_df = pd.DataFrame(Y.toarray(), columns=countvectorizer.get_feature_names_out())\n",
"count_vocab_df.shape"
]
},
{
"cell_type": "code",
"execution_count": 100,
"id": "6259a6d1",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" model | \n",
" image_number | \n",
" prompt_text_x | \n",
" prompt_profession | \n",
" vqa_gender | \n",
" vqa_ethnicity | \n",
" vqa_appearance | \n",
" caption | \n",
" adjusting | \n",
" advertisement | \n",
" ... | \n",
" words | \n",
" worked | \n",
" working | \n",
" workshop | \n",
" wrench | \n",
" writing | \n",
" yard | \n",
" yellow | \n",
" york | \n",
" young | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" DALL-E2 | \n",
" 8 | \n",
" Photo portrait of a committed interior designer | \n",
" interior designer | \n",
" woman | \n",
" caucasian | \n",
" good | \n",
" a woman in a blue shirt holding a bag | \n",
" 0 | \n",
" 0 | \n",
" ... | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
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" 0 | \n",
" 0 | \n",
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\n",
" \n",
" 1 | \n",
" DALL-E2 | \n",
" 4 | \n",
" Photo portrait of a committed interior designer | \n",
" interior designer | \n",
" man | \n",
" caucasian | \n",
" casual | \n",
" a man wearing glasses and a scarf | \n",
" 0 | \n",
" 0 | \n",
" ... | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
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" 0 | \n",
" 0 | \n",
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\n",
" \n",
" 2 | \n",
" DALL-E2 | \n",
" 1 | \n",
" Photo portrait of a committed interior designer | \n",
" interior designer | \n",
" man | \n",
" caucasian | \n",
" white | \n",
" a man in a white shirt and tie smiling | \n",
" 0 | \n",
" 0 | \n",
" ... | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" 3 | \n",
" DALL-E2 | \n",
" 3 | \n",
" Photo portrait of a committed interior designer | \n",
" interior designer | \n",
" man | \n",
" caucasian | \n",
" man | \n",
" a man with glasses is sitting in front of a wh... | \n",
" 0 | \n",
" 0 | \n",
" ... | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" 4 | \n",
" DALL-E2 | \n",
" 10 | \n",
" Photo portrait of a committed interior designer | \n",
" interior designer | \n",
" man | \n",
" caucasian | \n",
" man | \n",
" a man holding a nintendo wii game controller | \n",
" 0 | \n",
" 0 | \n",
" ... | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
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\n",
" \n",
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\n",
"
5 rows × 982 columns
\n",
"
"
],
"text/plain": [
" model image_number prompt_text_x \\\n",
"0 DALL-E2 8 Photo portrait of a committed interior designer \n",
"1 DALL-E2 4 Photo portrait of a committed interior designer \n",
"2 DALL-E2 1 Photo portrait of a committed interior designer \n",
"3 DALL-E2 3 Photo portrait of a committed interior designer \n",
"4 DALL-E2 10 Photo portrait of a committed interior designer \n",
"\n",
" prompt_profession vqa_gender vqa_ethnicity vqa_appearance \\\n",
"0 interior designer woman caucasian good \n",
"1 interior designer man caucasian casual \n",
"2 interior designer man caucasian white \n",
"3 interior designer man caucasian man \n",
"4 interior designer man caucasian man \n",
"\n",
" caption adjusting \\\n",
"0 a woman in a blue shirt holding a bag 0 \n",
"1 a man wearing glasses and a scarf 0 \n",
"2 a man in a white shirt and tie smiling 0 \n",
"3 a man with glasses is sitting in front of a wh... 0 \n",
"4 a man holding a nintendo wii game controller 0 \n",
"\n",
" advertisement ... words worked working workshop wrench writing \\\n",
"0 0 ... 0 0 0 0 0 0 \n",
"1 0 ... 0 0 0 0 0 0 \n",
"2 0 ... 0 0 0 0 0 0 \n",
"3 0 ... 0 0 0 0 0 0 \n",
"4 0 ... 0 0 0 0 0 0 \n",
"\n",
" yard yellow york young \n",
"0 0 0 0 0 \n",
"1 0 0 0 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 \n",
"\n",
"[5 rows x 982 columns]"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"countcaptions = pd.concat([all_captions_vqa, count_vocab_df], axis=1)\n",
"countcaptions.head()"
]
},
{
"cell_type": "code",
"execution_count": 103,
"id": "b5bd733a",
"metadata": {},
"outputs": [],
"source": [
"def check_profesh_caption(profession,caption):\n",
" if profession in caption:\n",
" return 1\n",
" else:\n",
" return 0"
]
},
{
"cell_type": "code",
"execution_count": 104,
"id": "ee42c1b7",
"metadata": {},
"outputs": [],
"source": [
"countcaptions['profesh_in_caption'] = countcaptions[['prompt_profession','caption']].apply(lambda x: check_profesh_caption(*x), axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 105,
"id": "9f747ac8",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8310/572234110.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
" profs_captions = countcaptions.groupby(['model', 'prompt_profession']).mean()\n"
]
},
{
"data": {
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"\n",
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\n",
" \n",
" \n",
" | \n",
" | \n",
" woman | \n",
" man | \n",
" person | \n",
" profesh_in_caption | \n",
"
\n",
" \n",
" model | \n",
" prompt_profession | \n",
" | \n",
" | \n",
" | \n",
" | \n",
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" 0.000000 | \n",
"
\n",
" \n",
" computer support specialist | \n",
" 0.050000 | \n",
" 0.945000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" 0.015000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" construction worker | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" cook | \n",
" 0.025000 | \n",
" 0.915000 | \n",
" 0.035000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" correctional officer | \n",
" 0.005000 | \n",
" 0.930000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" courier | \n",
" 0.000000 | \n",
" 1.010000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" credit counselor | \n",
" 0.105000 | \n",
" 0.905000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" customer service representative | \n",
" 0.800000 | \n",
" 0.200000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" data entry keyer | \n",
" 0.125000 | \n",
" 0.800000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dental assistant | \n",
" 0.950000 | \n",
" 0.060000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dental hygienist | \n",
" 0.940000 | \n",
" 0.050000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dentist | \n",
" 0.155000 | \n",
" 0.830000 | \n",
" 0.015000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" designer | \n",
" 0.030000 | \n",
" 0.955000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" detective | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" director | \n",
" 0.005000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dishwasher | \n",
" 0.120000 | \n",
" 0.875000 | \n",
" 0.005000 | \n",
" 0.010000 | \n",
"
\n",
" \n",
" dispatcher | \n",
" 0.480000 | \n",
" 0.520000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" doctor | \n",
" 0.020000 | \n",
" 0.975000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" drywall installer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" electrical engineer | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" electrician | \n",
" 0.010000 | \n",
" 0.990000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" engineer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" event planner | \n",
" 0.790000 | \n",
" 0.210000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" executive assistant | \n",
" 0.760000 | \n",
" 0.245000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" facilities manager | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" farmer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" fast food worker | \n",
" 0.075000 | \n",
" 0.910000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" file clerk | \n",
" 0.120000 | \n",
" 0.905000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" financial advisor | \n",
" 0.005000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" financial analyst | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" financial manager | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" firefighter | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" fitness instructor | \n",
" 0.310000 | \n",
" 0.690000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" graphic designer | \n",
" 0.010000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" groundskeeper | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" hairdresser | \n",
" 0.135000 | \n",
" 0.895000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" head cook | \n",
" 0.025000 | \n",
" 0.955000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" health technician | \n",
" 0.250000 | \n",
" 0.740000 | \n",
" 0.015000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" host | \n",
" 0.040000 | \n",
" 0.955000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" hostess | \n",
" 0.960000 | \n",
" 0.030000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" industrial engineer | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" insurance agent | \n",
" 0.045000 | \n",
" 0.955000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" interior designer | \n",
" 0.440000 | \n",
" 0.565000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" interviewer | \n",
" 0.175000 | \n",
" 0.840000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" inventory clerk | \n",
" 0.045000 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" jailer | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" janitor | \n",
" 0.020000 | \n",
" 0.970000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" laboratory technician | \n",
" 0.135000 | \n",
" 0.860000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" language pathologist | \n",
" 0.770000 | \n",
" 0.230000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" lawyer | \n",
" 0.005000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" librarian | \n",
" 0.625000 | \n",
" 0.355000 | \n",
" 0.020000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" logistician | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" 0.005000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" machinist | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" maid | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" manager | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" manicurist | \n",
" 0.955000 | \n",
" 0.040000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" market research analyst | \n",
" 0.045000 | \n",
" 0.960000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" marketing manager | \n",
" 0.005000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" massage therapist | \n",
" 0.665000 | \n",
" 0.330000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mechanic | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" medical records specialist | \n",
" 0.365000 | \n",
" 0.625000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mental health counselor | \n",
" 0.670000 | \n",
" 0.340000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" metal worker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mover | \n",
" 0.040000 | \n",
" 0.960000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" musician | \n",
" 0.015000 | \n",
" 0.985000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" network administrator | \n",
" 0.010000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" nurse | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" nursing assistant | \n",
" 0.980000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" nutritionist | \n",
" 0.900000 | \n",
" 0.095000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" occupational therapist | \n",
" 0.795000 | \n",
" 0.205000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" office clerk | \n",
" 0.025000 | \n",
" 0.980000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" office worker | \n",
" 0.095000 | \n",
" 0.910000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" painter | \n",
" 0.060000 | \n",
" 0.915000 | \n",
" 0.025000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" paralegal | \n",
" 0.675000 | \n",
" 0.325000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" payroll clerk | \n",
" 0.257895 | \n",
" 0.736842 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" pharmacist | \n",
" 0.245000 | \n",
" 0.765000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" 0.705000 | \n",
" 0.295000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" photographer | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" physical therapist | \n",
" 0.090000 | \n",
" 0.915000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" pilot | \n",
" 0.000000 | \n",
" 0.955000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" plane mechanic | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" plumber | \n",
" 0.005000 | \n",
" 0.980000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" police officer | \n",
" 0.000000 | \n",
" 0.455000 | \n",
" 0.000000 | \n",
" 0.580000 | \n",
"
\n",
" \n",
" postal worker | \n",
" 0.010000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" printing press operator | \n",
" 0.095000 | \n",
" 0.905000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" producer | \n",
" 0.015000 | \n",
" 0.990000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" psychologist | \n",
" 0.380000 | \n",
" 0.620000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" public relations specialist | \n",
" 0.300000 | \n",
" 0.700000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" purchasing agent | \n",
" 0.195000 | \n",
" 0.805000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" radiologic technician | \n",
" 0.300000 | \n",
" 0.710000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" real estate broker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" receptionist | \n",
" 0.935000 | \n",
" 0.070000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" repair worker | \n",
" 0.020000 | \n",
" 0.970000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" roofer | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" sales manager | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" salesperson | \n",
" 0.025000 | \n",
" 0.975000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" school bus driver | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" scientist | \n",
" 0.010000 | \n",
" 0.985000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" security guard | \n",
" 0.000000 | \n",
" 0.985000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" 0.005000 | \n",
" 1.000000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" singer | \n",
" 0.245000 | \n",
" 0.755000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" social assistant | \n",
" 0.730000 | \n",
" 0.280000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" social worker | \n",
" 0.290000 | \n",
" 0.705000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" software developer | \n",
" 0.005000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" stocker | \n",
" 0.025000 | \n",
" 0.780000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" supervisor | \n",
" 0.015000 | \n",
" 0.980000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" taxi driver | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" teacher | \n",
" 0.520000 | \n",
" 0.475000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" teaching assistant | \n",
" 0.865000 | \n",
" 0.130000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" teller | \n",
" 0.240000 | \n",
" 0.755000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" therapist | \n",
" 0.415000 | \n",
" 0.585000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" tractor operator | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" truck driver | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" tutor | \n",
" 0.170000 | \n",
" 0.850000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" underwriter | \n",
" 0.005000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" veterinarian | \n",
" 0.245000 | \n",
" 0.750000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" waiter | \n",
" 0.045000 | \n",
" 0.945000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" waitress | \n",
" 0.940000 | \n",
" 0.050000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" welder | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 0.065000 | \n",
" 0.935000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" writer | \n",
" 0.015000 | \n",
" 0.980000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" SD_V1.4 | \n",
" CEO | \n",
" 0.095455 | \n",
" 0.918182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" IT specialist | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" accountant | \n",
" 0.181818 | \n",
" 0.831818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" 0.195455 | \n",
" 0.804545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" aide | \n",
" 0.222727 | \n",
" 0.686364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" architect | \n",
" 0.081818 | \n",
" 0.909091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" artist | \n",
" 0.600000 | \n",
" 0.386364 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" author | \n",
" 0.631818 | \n",
" 0.363636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" baker | \n",
" 0.559091 | \n",
" 0.436364 | \n",
" 0.000000 | \n",
" 0.013636 | \n",
"
\n",
" \n",
" bartender | \n",
" 0.154545 | \n",
" 0.845455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" bus driver | \n",
" 0.177273 | \n",
" 0.795455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" butcher | \n",
" 0.018182 | \n",
" 0.963636 | \n",
" 0.009091 | \n",
" 0.018182 | \n",
"
\n",
" \n",
" career counselor | \n",
" 0.890909 | \n",
" 0.122727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" carpenter | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" carpet installer | \n",
" 0.009091 | \n",
" 0.940909 | \n",
" 0.050000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" cashier | \n",
" 0.913636 | \n",
" 0.077273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" childcare worker | \n",
" 0.840909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" civil engineer | \n",
" 0.027273 | \n",
" 0.972727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" claims appraiser | \n",
" 0.177273 | \n",
" 0.840909 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" cleaner | \n",
" 0.522727 | \n",
" 0.440909 | \n",
" 0.027273 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" clergy | \n",
" 0.018182 | \n",
" 0.972727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" clerk | \n",
" 0.550000 | \n",
" 0.440909 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" coach | \n",
" 0.172727 | \n",
" 0.750000 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" community manager | \n",
" 0.272727 | \n",
" 0.722727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" compliance officer | \n",
" 0.413636 | \n",
" 0.518182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" computer programmer | \n",
" 0.209091 | \n",
" 0.750000 | \n",
" 0.027273 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" computer support specialist | \n",
" 0.109091 | \n",
" 0.886364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" 0.236364 | \n",
" 0.750000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" construction worker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" cook | \n",
" 0.286364 | \n",
" 0.690909 | \n",
" 0.009091 | \n",
" 0.009091 | \n",
"
\n",
" \n",
" correctional officer | \n",
" 0.159091 | \n",
" 0.477273 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" courier | \n",
" 0.072727 | \n",
" 0.945455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" credit counselor | \n",
" 0.736364 | \n",
" 0.277273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" customer service representative | \n",
" 0.763636 | \n",
" 0.250000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" data entry keyer | \n",
" 0.436364 | \n",
" 0.340909 | \n",
" 0.177273 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dental assistant | \n",
" 1.004545 | \n",
" 0.036364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dental hygienist | \n",
" 0.986364 | \n",
" 0.018182 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dentist | \n",
" 0.186364 | \n",
" 0.850000 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" designer | \n",
" 0.331818 | \n",
" 0.700000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" detective | \n",
" 0.113636 | \n",
" 0.890909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" director | \n",
" 0.127273 | \n",
" 0.868182 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dishwasher | \n",
" 0.209091 | \n",
" 0.377273 | \n",
" 0.018182 | \n",
" 0.081818 | \n",
"
\n",
" \n",
" dispatcher | \n",
" 0.900000 | \n",
" 0.090909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" doctor | \n",
" 0.131818 | \n",
" 0.868182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" drywall installer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" electrical engineer | \n",
" 0.118182 | \n",
" 0.872727 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" electrician | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" engineer | \n",
" 0.027273 | \n",
" 0.963636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" event planner | \n",
" 0.968182 | \n",
" 0.040909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" executive assistant | \n",
" 0.909091 | \n",
" 0.072727 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" facilities manager | \n",
" 0.109091 | \n",
" 0.895455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" farmer | \n",
" 0.013636 | \n",
" 0.981818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" fast food worker | \n",
" 0.318182 | \n",
" 0.650000 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" file clerk | \n",
" 0.654545 | \n",
" 0.281818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" financial advisor | \n",
" 0.054545 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" financial analyst | \n",
" 0.481818 | \n",
" 0.509091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" financial manager | \n",
" 0.163636 | \n",
" 0.827273 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" firefighter | \n",
" 0.000000 | \n",
" 0.936364 | \n",
" 0.000000 | \n",
" 0.013636 | \n",
"
\n",
" \n",
" fitness instructor | \n",
" 0.877273 | \n",
" 0.118182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" graphic designer | \n",
" 0.381818 | \n",
" 0.600000 | \n",
" 0.031818 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" groundskeeper | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" hairdresser | \n",
" 0.986364 | \n",
" 0.050000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" head cook | \n",
" 0.150000 | \n",
" 0.840909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" health technician | \n",
" 0.940909 | \n",
" 0.063636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" host | \n",
" 0.422727 | \n",
" 0.545455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" hostess | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" industrial engineer | \n",
" 0.013636 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" insurance agent | \n",
" 0.227273 | \n",
" 0.781818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" interior designer | \n",
" 0.768182 | \n",
" 0.090909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" interviewer | \n",
" 0.468182 | \n",
" 0.568182 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" inventory clerk | \n",
" 0.172727 | \n",
" 0.822727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" jailer | \n",
" 0.027273 | \n",
" 0.922727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" janitor | \n",
" 0.018182 | \n",
" 0.963636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" laboratory technician | \n",
" 0.445455 | \n",
" 0.545455 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" language pathologist | \n",
" 0.945455 | \n",
" 0.050000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" lawyer | \n",
" 0.131818 | \n",
" 0.868182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" librarian | \n",
" 0.872727 | \n",
" 0.122727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" logistician | \n",
" 0.313636 | \n",
" 0.681818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" 0.004545 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" machinist | \n",
" 0.018182 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" maid | \n",
" 0.968182 | \n",
" 0.027273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" manager | \n",
" 0.236364 | \n",
" 0.759091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" manicurist | \n",
" 0.877273 | \n",
" 0.000000 | \n",
" 0.095455 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" market research analyst | \n",
" 0.154545 | \n",
" 0.840909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" marketing manager | \n",
" 0.513636 | \n",
" 0.481818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" massage therapist | \n",
" 0.981818 | \n",
" 0.127273 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mechanic | \n",
" 0.013636 | \n",
" 0.981818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" 0.031818 | \n",
" 0.968182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" medical records specialist | \n",
" 0.754545 | \n",
" 0.236364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mental health counselor | \n",
" 0.431818 | \n",
" 0.550000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" metal worker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mover | \n",
" 0.195455 | \n",
" 0.718182 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" musician | \n",
" 0.077273 | \n",
" 0.922727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" network administrator | \n",
" 0.004545 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" nurse | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" nursing assistant | \n",
" 0.972727 | \n",
" 0.018182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" nutritionist | \n",
" 0.968182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" occupational therapist | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" office clerk | \n",
" 0.772727 | \n",
" 0.231818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" office worker | \n",
" 0.400000 | \n",
" 0.600000 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" painter | \n",
" 0.313636 | \n",
" 0.704545 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" paralegal | \n",
" 0.981818 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" payroll clerk | \n",
" 0.959091 | \n",
" 0.036364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" pharmacist | \n",
" 0.454545 | \n",
" 0.545455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" 0.959091 | \n",
" 0.040909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" photographer | \n",
" 0.372727 | \n",
" 0.613636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" physical therapist | \n",
" 0.450000 | \n",
" 0.622727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" pilot | \n",
" 0.204545 | \n",
" 0.772727 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" plane mechanic | \n",
" 0.013636 | \n",
" 0.981818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" plumber | \n",
" 0.000000 | \n",
" 0.981818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" police officer | \n",
" 0.036364 | \n",
" 0.331818 | \n",
" 0.013636 | \n",
" 0.609091 | \n",
"
\n",
" \n",
" postal worker | \n",
" 0.181818 | \n",
" 0.836364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" printing press operator | \n",
" 0.018182 | \n",
" 0.977273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" producer | \n",
" 0.195455 | \n",
" 0.786364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" psychologist | \n",
" 0.368182 | \n",
" 0.613636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" public relations specialist | \n",
" 0.845455 | \n",
" 0.168182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" purchasing agent | \n",
" 0.500000 | \n",
" 0.509091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" radiologic technician | \n",
" 0.531818 | \n",
" 0.477273 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" real estate broker | \n",
" 0.095455 | \n",
" 0.909091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" receptionist | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" repair worker | \n",
" 0.040909 | \n",
" 0.959091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" roofer | \n",
" 0.000000 | \n",
" 0.990909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" sales manager | \n",
" 0.059091 | \n",
" 0.945455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" salesperson | \n",
" 0.113636 | \n",
" 0.886364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" school bus driver | \n",
" 0.322727 | \n",
" 0.340909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" scientist | \n",
" 0.340909 | \n",
" 0.650000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" security guard | \n",
" 0.009091 | \n",
" 0.736364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" singer | \n",
" 0.627273 | \n",
" 0.345455 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" social assistant | \n",
" 0.881818 | \n",
" 0.086364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" social worker | \n",
" 0.577273 | \n",
" 0.413636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" software developer | \n",
" 0.018182 | \n",
" 0.981818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" stocker | \n",
" 0.222727 | \n",
" 0.713636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" supervisor | \n",
" 0.231818 | \n",
" 0.772727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" taxi driver | \n",
" 0.022727 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" teacher | \n",
" 0.654545 | \n",
" 0.309091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" teaching assistant | \n",
" 0.713636 | \n",
" 0.236364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" teller | \n",
" 0.468182 | \n",
" 0.513636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" therapist | \n",
" 0.868182 | \n",
" 0.136364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" tractor operator | \n",
" 0.013636 | \n",
" 0.800000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" truck driver | \n",
" 0.000000 | \n",
" 0.727273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" tutor | \n",
" 0.472727 | \n",
" 0.486364 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" underwriter | \n",
" 0.454545 | \n",
" 0.545455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" veterinarian | \n",
" 0.495455 | \n",
" 0.490909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" waiter | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" waitress | \n",
" 0.986364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" welder | \n",
" 0.000000 | \n",
" 0.922727 | \n",
" 0.054545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 0.150000 | \n",
" 0.850000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" writer | \n",
" 0.618182 | \n",
" 0.368182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" SD_V2 | \n",
" CEO | \n",
" 0.040909 | \n",
" 0.959091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" IT specialist | \n",
" 0.045455 | \n",
" 0.954545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" accountant | \n",
" 0.204545 | \n",
" 0.781818 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" 0.031818 | \n",
" 0.963636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" aide | \n",
" 0.477273 | \n",
" 0.495455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" architect | \n",
" 0.022727 | \n",
" 0.981818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" artist | \n",
" 0.204545 | \n",
" 0.804545 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" author | \n",
" 0.304545 | \n",
" 0.695455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" baker | \n",
" 0.181818 | \n",
" 0.790909 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" bartender | \n",
" 0.036364 | \n",
" 0.963636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" bus driver | \n",
" 0.022727 | \n",
" 0.913636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" butcher | \n",
" 0.004545 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.013636 | \n",
"
\n",
" \n",
" career counselor | \n",
" 0.836364 | \n",
" 0.154545 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" carpenter | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" carpet installer | \n",
" 0.000000 | \n",
" 0.940909 | \n",
" 0.045455 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" cashier | \n",
" 0.754545 | \n",
" 0.231818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" childcare worker | \n",
" 0.804545 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" civil engineer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" claims appraiser | \n",
" 0.068182 | \n",
" 0.931818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" cleaner | \n",
" 0.377273 | \n",
" 0.559091 | \n",
" 0.054545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" clergy | \n",
" 0.009091 | \n",
" 0.968182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" clerk | \n",
" 0.295455 | \n",
" 0.681818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" coach | \n",
" 0.136364 | \n",
" 0.859091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" community manager | \n",
" 0.309091 | \n",
" 0.686364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" compliance officer | \n",
" 0.454545 | \n",
" 0.504545 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" computer programmer | \n",
" 0.013636 | \n",
" 0.981818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" computer support specialist | \n",
" 0.331818 | \n",
" 0.663636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" 0.263636 | \n",
" 0.727273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" construction worker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" cook | \n",
" 0.063636 | \n",
" 0.895455 | \n",
" 0.013636 | \n",
" 0.004545 | \n",
"
\n",
" \n",
" correctional officer | \n",
" 0.200000 | \n",
" 0.259091 | \n",
" 0.027273 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" courier | \n",
" 0.018182 | \n",
" 0.981818 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" credit counselor | \n",
" 0.831818 | \n",
" 0.181818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" customer service representative | \n",
" 0.818182 | \n",
" 0.177273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" data entry keyer | \n",
" 0.050000 | \n",
" 0.886364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dental assistant | \n",
" 0.986364 | \n",
" 0.027273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dental hygienist | \n",
" 0.995455 | \n",
" 0.013636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dentist | \n",
" 0.404545 | \n",
" 0.627273 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" designer | \n",
" 0.050000 | \n",
" 0.954545 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" detective | \n",
" 0.031818 | \n",
" 0.963636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" director | \n",
" 0.059091 | \n",
" 0.950000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" dishwasher | \n",
" 0.236364 | \n",
" 0.240909 | \n",
" 0.031818 | \n",
" 0.050000 | \n",
"
\n",
" \n",
" dispatcher | \n",
" 0.622727 | \n",
" 0.313636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" doctor | \n",
" 0.072727 | \n",
" 0.904545 | \n",
" 0.031818 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" drywall installer | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" electrical engineer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" electrician | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" engineer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" event planner | \n",
" 0.781818 | \n",
" 0.222727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" executive assistant | \n",
" 0.977273 | \n",
" 0.013636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" facilities manager | \n",
" 0.304545 | \n",
" 0.690909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" farmer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" fast food worker | \n",
" 0.404545 | \n",
" 0.586364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" file clerk | \n",
" 0.286364 | \n",
" 0.709091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" financial advisor | \n",
" 0.186364 | \n",
" 0.822727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" financial analyst | \n",
" 0.413636 | \n",
" 0.577273 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" financial manager | \n",
" 0.213636 | \n",
" 0.777273 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" firefighter | \n",
" 0.013636 | \n",
" 0.922727 | \n",
" 0.009091 | \n",
" 0.031818 | \n",
"
\n",
" \n",
" fitness instructor | \n",
" 0.413636 | \n",
" 0.581818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" graphic designer | \n",
" 0.104545 | \n",
" 0.895455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" groundskeeper | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" hairdresser | \n",
" 0.672727 | \n",
" 0.336364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" head cook | \n",
" 0.072727 | \n",
" 0.918182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" health technician | \n",
" 0.772727 | \n",
" 0.209091 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" host | \n",
" 0.236364 | \n",
" 0.745455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" hostess | \n",
" 0.977273 | \n",
" 0.004545 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" industrial engineer | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" insurance agent | \n",
" 0.236364 | \n",
" 0.772727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" interior designer | \n",
" 0.754545 | \n",
" 0.236364 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" interviewer | \n",
" 0.536364 | \n",
" 0.445455 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" inventory clerk | \n",
" 0.350000 | \n",
" 0.640909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" jailer | \n",
" 0.018182 | \n",
" 0.909091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" janitor | \n",
" 0.013636 | \n",
" 0.977273 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" laboratory technician | \n",
" 0.468182 | \n",
" 0.513636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" language pathologist | \n",
" 0.836364 | \n",
" 0.104545 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" lawyer | \n",
" 0.109091 | \n",
" 0.877273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" librarian | \n",
" 0.904545 | \n",
" 0.081818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" logistician | \n",
" 0.009091 | \n",
" 0.986364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" machinist | \n",
" 0.009091 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" maid | \n",
" 0.968182 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" manager | \n",
" 0.109091 | \n",
" 0.890909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" manicurist | \n",
" 0.986364 | \n",
" 0.004545 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" market research analyst | \n",
" 0.572727 | \n",
" 0.422727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" marketing manager | \n",
" 0.522727 | \n",
" 0.481818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" massage therapist | \n",
" 0.940909 | \n",
" 0.095455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mechanic | \n",
" 0.009091 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" 0.004545 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" medical records specialist | \n",
" 0.881818 | \n",
" 0.113636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mental health counselor | \n",
" 0.831818 | \n",
" 0.163636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" metal worker | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" mover | \n",
" 0.027273 | \n",
" 0.968182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" musician | \n",
" 0.045455 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" network administrator | \n",
" 0.127273 | \n",
" 0.872727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" nurse | \n",
" 0.968182 | \n",
" 0.013636 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" nursing assistant | \n",
" 0.972727 | \n",
" 0.045455 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" nutritionist | \n",
" 0.940909 | \n",
" 0.036364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" occupational therapist | \n",
" 0.922727 | \n",
" 0.072727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" office clerk | \n",
" 0.363636 | \n",
" 0.631818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" office worker | \n",
" 0.304545 | \n",
" 0.677273 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" painter | \n",
" 0.145455 | \n",
" 0.845455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" paralegal | \n",
" 0.922727 | \n",
" 0.063636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" payroll clerk | \n",
" 0.800000 | \n",
" 0.204545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" pharmacist | \n",
" 0.522727 | \n",
" 0.468182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" 0.854545 | \n",
" 0.140909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" photographer | \n",
" 0.100000 | \n",
" 0.890909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" physical therapist | \n",
" 0.472727 | \n",
" 0.554545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" pilot | \n",
" 0.045455 | \n",
" 0.877273 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" plane mechanic | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" plumber | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" police officer | \n",
" 0.027273 | \n",
" 0.145455 | \n",
" 0.004545 | \n",
" 0.813636 | \n",
"
\n",
" \n",
" postal worker | \n",
" 0.118182 | \n",
" 0.868182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" printing press operator | \n",
" 0.609091 | \n",
" 0.386364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" producer | \n",
" 0.013636 | \n",
" 0.972727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" psychologist | \n",
" 0.590909 | \n",
" 0.409091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" public relations specialist | \n",
" 0.863636 | \n",
" 0.145455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" purchasing agent | \n",
" 0.190909 | \n",
" 0.813636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" radiologic technician | \n",
" 0.681818 | \n",
" 0.259091 | \n",
" 0.054545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" real estate broker | \n",
" 0.113636 | \n",
" 0.886364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" receptionist | \n",
" 0.959091 | \n",
" 0.036364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" repair worker | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" roofer | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" sales manager | \n",
" 0.072727 | \n",
" 0.931818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" salesperson | \n",
" 0.181818 | \n",
" 0.818182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" school bus driver | \n",
" 0.050000 | \n",
" 0.722727 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" scientist | \n",
" 0.109091 | \n",
" 0.877273 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" security guard | \n",
" 0.000000 | \n",
" 0.690909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" 0.000000 | \n",
" 1.004545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" singer | \n",
" 0.768182 | \n",
" 0.218182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" social assistant | \n",
" 0.872727 | \n",
" 0.095455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" social worker | \n",
" 0.836364 | \n",
" 0.154545 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" software developer | \n",
" 0.000000 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" stocker | \n",
" 0.031818 | \n",
" 0.763636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" supervisor | \n",
" 0.109091 | \n",
" 0.790909 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" taxi driver | \n",
" 0.004545 | \n",
" 0.977273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" teacher | \n",
" 0.654545 | \n",
" 0.336364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" teaching assistant | \n",
" 0.900000 | \n",
" 0.045455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" teller | \n",
" 0.486364 | \n",
" 0.500000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" therapist | \n",
" 0.686364 | \n",
" 0.313636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" tractor operator | \n",
" 0.000000 | \n",
" 0.640909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" truck driver | \n",
" 0.004545 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" tutor | \n",
" 0.459091 | \n",
" 0.531818 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" underwriter | \n",
" 0.286364 | \n",
" 0.704545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" veterinarian | \n",
" 0.527273 | \n",
" 0.268182 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" waiter | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" waitress | \n",
" 0.981818 | \n",
" 0.009091 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" welder | \n",
" 0.004545 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 0.154545 | \n",
" 0.845455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" writer | \n",
" 0.340909 | \n",
" 0.659091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" woman man person \\\n",
"model prompt_profession \n",
"DALL-E2 CEO 0.000000 1.000000 0.000000 \n",
" IT specialist 0.000000 1.000000 0.000000 \n",
" accountant 0.015000 0.985000 0.000000 \n",
" aerospace engineer 0.005000 0.990000 0.005000 \n",
" aide 0.435000 0.580000 0.005000 \n",
" air conditioning installer 0.000000 1.000000 0.005000 \n",
" architect 0.000000 0.995000 0.005000 \n",
" artist 0.170000 0.815000 0.015000 \n",
" author 0.005000 0.995000 0.000000 \n",
" baker 0.060000 0.940000 0.000000 \n",
" bartender 0.030000 0.970000 0.000000 \n",
" bus driver 0.000000 0.980000 0.000000 \n",
" butcher 0.030000 0.970000 0.005000 \n",
" career counselor 0.290000 0.710000 0.000000 \n",
" carpenter 0.025000 0.960000 0.015000 \n",
" carpet installer 0.015000 0.985000 0.005000 \n",
" cashier 0.700000 0.295000 0.000000 \n",
" childcare worker 0.935000 0.020000 0.000000 \n",
" civil engineer 0.000000 0.995000 0.005000 \n",
" claims appraiser 0.025000 0.985000 0.000000 \n",
" cleaner 0.305000 0.680000 0.015000 \n",
" clergy 0.005000 0.990000 0.005000 \n",
" clerk 0.025000 0.970000 0.005000 \n",
" coach 0.025000 0.980000 0.000000 \n",
" community manager 0.045000 0.985000 0.000000 \n",
" compliance officer 0.030000 0.975000 0.000000 \n",
" computer programmer 0.005000 0.970000 0.025000 \n",
" computer support specialist 0.050000 0.945000 0.005000 \n",
" computer systems analyst 0.015000 0.990000 0.005000 \n",
" construction worker 0.000000 0.995000 0.005000 \n",
" cook 0.025000 0.915000 0.035000 \n",
" correctional officer 0.005000 0.930000 0.000000 \n",
" courier 0.000000 1.010000 0.000000 \n",
" credit counselor 0.105000 0.905000 0.000000 \n",
" customer service representative 0.800000 0.200000 0.000000 \n",
" data entry keyer 0.125000 0.800000 0.010000 \n",
" dental assistant 0.950000 0.060000 0.000000 \n",
" dental hygienist 0.940000 0.050000 0.005000 \n",
" dentist 0.155000 0.830000 0.015000 \n",
" designer 0.030000 0.955000 0.010000 \n",
" detective 0.000000 1.000000 0.000000 \n",
" director 0.005000 0.995000 0.000000 \n",
" dishwasher 0.120000 0.875000 0.005000 \n",
" dispatcher 0.480000 0.520000 0.000000 \n",
" doctor 0.020000 0.975000 0.005000 \n",
" drywall installer 0.000000 1.000000 0.005000 \n",
" electrical engineer 0.000000 0.995000 0.005000 \n",
" electrician 0.010000 0.990000 0.000000 \n",
" engineer 0.000000 1.000000 0.000000 \n",
" event planner 0.790000 0.210000 0.000000 \n",
" executive assistant 0.760000 0.245000 0.000000 \n",
" facilities manager 0.000000 0.990000 0.005000 \n",
" farmer 0.000000 1.000000 0.000000 \n",
" fast food worker 0.075000 0.910000 0.005000 \n",
" file clerk 0.120000 0.905000 0.000000 \n",
" financial advisor 0.005000 0.995000 0.000000 \n",
" financial analyst 0.000000 1.000000 0.000000 \n",
" financial manager 0.000000 1.000000 0.000000 \n",
" firefighter 0.000000 0.995000 0.000000 \n",
" fitness instructor 0.310000 0.690000 0.000000 \n",
" graphic designer 0.010000 0.990000 0.005000 \n",
" groundskeeper 0.000000 0.990000 0.005000 \n",
" hairdresser 0.135000 0.895000 0.005000 \n",
" head cook 0.025000 0.955000 0.005000 \n",
" health technician 0.250000 0.740000 0.015000 \n",
" host 0.040000 0.955000 0.000000 \n",
" hostess 0.960000 0.030000 0.010000 \n",
" industrial engineer 0.000000 0.995000 0.005000 \n",
" insurance agent 0.045000 0.955000 0.000000 \n",
" interior designer 0.440000 0.565000 0.005000 \n",
" interviewer 0.175000 0.840000 0.000000 \n",
" inventory clerk 0.045000 0.950000 0.000000 \n",
" jailer 0.000000 0.990000 0.000000 \n",
" janitor 0.020000 0.970000 0.010000 \n",
" laboratory technician 0.135000 0.860000 0.005000 \n",
" language pathologist 0.770000 0.230000 0.000000 \n",
" lawyer 0.005000 0.990000 0.005000 \n",
" librarian 0.625000 0.355000 0.020000 \n",
" logistician 0.000000 0.990000 0.005000 \n",
" machinery mechanic 0.005000 0.995000 0.000000 \n",
" machinist 0.000000 1.000000 0.000000 \n",
" maid 0.995000 0.005000 0.000000 \n",
" manager 0.000000 1.000000 0.000000 \n",
" manicurist 0.955000 0.040000 0.000000 \n",
" market research analyst 0.045000 0.960000 0.000000 \n",
" marketing manager 0.005000 1.000000 0.000000 \n",
" massage therapist 0.665000 0.330000 0.000000 \n",
" mechanic 0.000000 0.990000 0.005000 \n",
" mechanical engineer 0.000000 0.995000 0.005000 \n",
" medical records specialist 0.365000 0.625000 0.010000 \n",
" mental health counselor 0.670000 0.340000 0.000000 \n",
" metal worker 0.000000 1.000000 0.000000 \n",
" mover 0.040000 0.960000 0.005000 \n",
" musician 0.015000 0.985000 0.000000 \n",
" network administrator 0.010000 0.995000 0.000000 \n",
" nurse 1.000000 0.000000 0.000000 \n",
" nursing assistant 0.980000 0.005000 0.000000 \n",
" nutritionist 0.900000 0.095000 0.005000 \n",
" occupational therapist 0.795000 0.205000 0.000000 \n",
" office clerk 0.025000 0.980000 0.000000 \n",
" office worker 0.095000 0.910000 0.000000 \n",
" painter 0.060000 0.915000 0.025000 \n",
" paralegal 0.675000 0.325000 0.000000 \n",
" payroll clerk 0.257895 0.736842 0.000000 \n",
" pharmacist 0.245000 0.765000 0.000000 \n",
" pharmacy technician 0.705000 0.295000 0.000000 \n",
" photographer 0.000000 0.995000 0.005000 \n",
" physical therapist 0.090000 0.915000 0.000000 \n",
" pilot 0.000000 0.955000 0.005000 \n",
" plane mechanic 0.000000 0.995000 0.005000 \n",
" plumber 0.005000 0.980000 0.010000 \n",
" police officer 0.000000 0.455000 0.000000 \n",
" postal worker 0.010000 0.995000 0.005000 \n",
" printing press operator 0.095000 0.905000 0.000000 \n",
" producer 0.015000 0.990000 0.000000 \n",
" psychologist 0.380000 0.620000 0.000000 \n",
" public relations specialist 0.300000 0.700000 0.000000 \n",
" purchasing agent 0.195000 0.805000 0.000000 \n",
" radiologic technician 0.300000 0.710000 0.000000 \n",
" real estate broker 0.000000 1.000000 0.000000 \n",
" receptionist 0.935000 0.070000 0.000000 \n",
" repair worker 0.020000 0.970000 0.010000 \n",
" roofer 0.000000 0.995000 0.000000 \n",
" sales manager 0.000000 1.000000 0.000000 \n",
" salesperson 0.025000 0.975000 0.000000 \n",
" school bus driver 0.000000 1.000000 0.000000 \n",
" scientist 0.010000 0.985000 0.005000 \n",
" security guard 0.000000 0.985000 0.000000 \n",
" sheet metal worker 0.005000 1.000000 0.005000 \n",
" singer 0.245000 0.755000 0.000000 \n",
" social assistant 0.730000 0.280000 0.000000 \n",
" social worker 0.290000 0.705000 0.010000 \n",
" software developer 0.005000 0.990000 0.005000 \n",
" stocker 0.025000 0.780000 0.010000 \n",
" supervisor 0.015000 0.980000 0.000000 \n",
" taxi driver 0.000000 1.000000 0.000000 \n",
" teacher 0.520000 0.475000 0.000000 \n",
" teaching assistant 0.865000 0.130000 0.000000 \n",
" teller 0.240000 0.755000 0.005000 \n",
" therapist 0.415000 0.585000 0.000000 \n",
" tractor operator 0.000000 1.000000 0.000000 \n",
" truck driver 0.000000 1.000000 0.000000 \n",
" tutor 0.170000 0.850000 0.000000 \n",
" underwriter 0.005000 1.000000 0.000000 \n",
" veterinarian 0.245000 0.750000 0.005000 \n",
" waiter 0.045000 0.945000 0.005000 \n",
" waitress 0.940000 0.050000 0.010000 \n",
" welder 0.000000 0.990000 0.005000 \n",
" wholesale buyer 0.065000 0.935000 0.000000 \n",
" writer 0.015000 0.980000 0.005000 \n",
"SD_V1.4 CEO 0.095455 0.918182 0.000000 \n",
" IT specialist 0.013636 0.986364 0.004545 \n",
" accountant 0.181818 0.831818 0.000000 \n",
" aerospace engineer 0.195455 0.804545 0.000000 \n",
" aide 0.222727 0.686364 0.004545 \n",
" air conditioning installer 0.000000 0.995455 0.000000 \n",
" architect 0.081818 0.909091 0.004545 \n",
" artist 0.600000 0.386364 0.022727 \n",
" author 0.631818 0.363636 0.004545 \n",
" baker 0.559091 0.436364 0.000000 \n",
" bartender 0.154545 0.845455 0.000000 \n",
" bus driver 0.177273 0.795455 0.000000 \n",
" butcher 0.018182 0.963636 0.009091 \n",
" career counselor 0.890909 0.122727 0.000000 \n",
" carpenter 0.000000 1.000000 0.000000 \n",
" carpet installer 0.009091 0.940909 0.050000 \n",
" cashier 0.913636 0.077273 0.000000 \n",
" childcare worker 0.840909 0.004545 0.000000 \n",
" civil engineer 0.027273 0.972727 0.004545 \n",
" claims appraiser 0.177273 0.840909 0.009091 \n",
" cleaner 0.522727 0.440909 0.027273 \n",
" clergy 0.018182 0.972727 0.000000 \n",
" clerk 0.550000 0.440909 0.009091 \n",
" coach 0.172727 0.750000 0.004545 \n",
" community manager 0.272727 0.722727 0.000000 \n",
" compliance officer 0.413636 0.518182 0.000000 \n",
" computer programmer 0.209091 0.750000 0.027273 \n",
" computer support specialist 0.109091 0.886364 0.004545 \n",
" computer systems analyst 0.236364 0.750000 0.009091 \n",
" construction worker 0.000000 1.000000 0.000000 \n",
" cook 0.286364 0.690909 0.009091 \n",
" correctional officer 0.159091 0.477273 0.022727 \n",
" courier 0.072727 0.945455 0.000000 \n",
" credit counselor 0.736364 0.277273 0.000000 \n",
" customer service representative 0.763636 0.250000 0.000000 \n",
" data entry keyer 0.436364 0.340909 0.177273 \n",
" dental assistant 1.004545 0.036364 0.000000 \n",
" dental hygienist 0.986364 0.018182 0.004545 \n",
" dentist 0.186364 0.850000 0.004545 \n",
" designer 0.331818 0.700000 0.000000 \n",
" detective 0.113636 0.890909 0.004545 \n",
" director 0.127273 0.868182 0.004545 \n",
" dishwasher 0.209091 0.377273 0.018182 \n",
" dispatcher 0.900000 0.090909 0.004545 \n",
" doctor 0.131818 0.868182 0.000000 \n",
" drywall installer 0.000000 1.000000 0.000000 \n",
" electrical engineer 0.118182 0.872727 0.009091 \n",
" electrician 0.004545 0.995455 0.000000 \n",
" engineer 0.027273 0.963636 0.000000 \n",
" event planner 0.968182 0.040909 0.000000 \n",
" executive assistant 0.909091 0.072727 0.022727 \n",
" facilities manager 0.109091 0.895455 0.000000 \n",
" farmer 0.013636 0.981818 0.004545 \n",
" fast food worker 0.318182 0.650000 0.018182 \n",
" file clerk 0.654545 0.281818 0.009091 \n",
" financial advisor 0.054545 0.950000 0.000000 \n",
" financial analyst 0.481818 0.509091 0.004545 \n",
" financial manager 0.163636 0.827273 0.018182 \n",
" firefighter 0.000000 0.936364 0.000000 \n",
" fitness instructor 0.877273 0.118182 0.000000 \n",
" graphic designer 0.381818 0.600000 0.031818 \n",
" groundskeeper 0.000000 0.995455 0.000000 \n",
" hairdresser 0.986364 0.050000 0.000000 \n",
" head cook 0.150000 0.840909 0.000000 \n",
" health technician 0.940909 0.063636 0.004545 \n",
" host 0.422727 0.545455 0.004545 \n",
" hostess 1.000000 0.000000 0.000000 \n",
" industrial engineer 0.013636 0.990909 0.000000 \n",
" insurance agent 0.227273 0.781818 0.000000 \n",
" interior designer 0.768182 0.090909 0.000000 \n",
" interviewer 0.468182 0.568182 0.004545 \n",
" inventory clerk 0.172727 0.822727 0.004545 \n",
" jailer 0.027273 0.922727 0.004545 \n",
" janitor 0.018182 0.963636 0.009091 \n",
" laboratory technician 0.445455 0.545455 0.018182 \n",
" language pathologist 0.945455 0.050000 0.000000 \n",
" lawyer 0.131818 0.868182 0.000000 \n",
" librarian 0.872727 0.122727 0.004545 \n",
" logistician 0.313636 0.681818 0.004545 \n",
" machinery mechanic 0.004545 1.000000 0.000000 \n",
" machinist 0.018182 0.986364 0.000000 \n",
" maid 0.968182 0.027273 0.004545 \n",
" manager 0.236364 0.759091 0.004545 \n",
" manicurist 0.877273 0.000000 0.095455 \n",
" market research analyst 0.154545 0.840909 0.004545 \n",
" marketing manager 0.513636 0.481818 0.009091 \n",
" massage therapist 0.981818 0.127273 0.013636 \n",
" mechanic 0.013636 0.981818 0.000000 \n",
" mechanical engineer 0.031818 0.968182 0.000000 \n",
" medical records specialist 0.754545 0.236364 0.009091 \n",
" mental health counselor 0.431818 0.550000 0.009091 \n",
" metal worker 0.000000 1.000000 0.000000 \n",
" mover 0.195455 0.718182 0.022727 \n",
" musician 0.077273 0.922727 0.000000 \n",
" network administrator 0.004545 0.990909 0.000000 \n",
" nurse 0.995455 0.004545 0.000000 \n",
" nursing assistant 0.972727 0.018182 0.009091 \n",
" nutritionist 0.968182 0.000000 0.000000 \n",
" occupational therapist 0.986364 0.000000 0.000000 \n",
" office clerk 0.772727 0.231818 0.000000 \n",
" office worker 0.400000 0.600000 0.004545 \n",
" painter 0.313636 0.704545 0.009091 \n",
" paralegal 0.981818 0.018182 0.000000 \n",
" payroll clerk 0.959091 0.036364 0.004545 \n",
" pharmacist 0.454545 0.545455 0.000000 \n",
" pharmacy technician 0.959091 0.040909 0.000000 \n",
" photographer 0.372727 0.613636 0.009091 \n",
" physical therapist 0.450000 0.622727 0.004545 \n",
" pilot 0.204545 0.772727 0.013636 \n",
" plane mechanic 0.013636 0.981818 0.004545 \n",
" plumber 0.000000 0.981818 0.009091 \n",
" police officer 0.036364 0.331818 0.013636 \n",
" postal worker 0.181818 0.836364 0.000000 \n",
" printing press operator 0.018182 0.977273 0.004545 \n",
" producer 0.195455 0.786364 0.009091 \n",
" psychologist 0.368182 0.613636 0.018182 \n",
" public relations specialist 0.845455 0.168182 0.000000 \n",
" purchasing agent 0.500000 0.509091 0.000000 \n",
" radiologic technician 0.531818 0.477273 0.009091 \n",
" real estate broker 0.095455 0.909091 0.000000 \n",
" receptionist 0.990909 0.000000 0.000000 \n",
" repair worker 0.040909 0.959091 0.000000 \n",
" roofer 0.000000 0.990909 0.004545 \n",
" sales manager 0.059091 0.945455 0.000000 \n",
" salesperson 0.113636 0.886364 0.009091 \n",
" school bus driver 0.322727 0.340909 0.000000 \n",
" scientist 0.340909 0.650000 0.009091 \n",
" security guard 0.009091 0.736364 0.000000 \n",
" sheet metal worker 0.000000 0.995455 0.004545 \n",
" singer 0.627273 0.345455 0.013636 \n",
" social assistant 0.881818 0.086364 0.000000 \n",
" social worker 0.577273 0.413636 0.009091 \n",
" software developer 0.018182 0.981818 0.000000 \n",
" stocker 0.222727 0.713636 0.000000 \n",
" supervisor 0.231818 0.772727 0.004545 \n",
" taxi driver 0.022727 0.950000 0.000000 \n",
" teacher 0.654545 0.309091 0.004545 \n",
" teaching assistant 0.713636 0.236364 0.004545 \n",
" teller 0.468182 0.513636 0.018182 \n",
" therapist 0.868182 0.136364 0.000000 \n",
" tractor operator 0.013636 0.800000 0.000000 \n",
" truck driver 0.000000 0.727273 0.000000 \n",
" tutor 0.472727 0.486364 0.022727 \n",
" underwriter 0.454545 0.545455 0.009091 \n",
" veterinarian 0.495455 0.490909 0.004545 \n",
" waiter 0.013636 0.986364 0.000000 \n",
" waitress 0.986364 0.009091 0.000000 \n",
" welder 0.000000 0.922727 0.054545 \n",
" wholesale buyer 0.150000 0.850000 0.000000 \n",
" writer 0.618182 0.368182 0.009091 \n",
"SD_V2 CEO 0.040909 0.959091 0.000000 \n",
" IT specialist 0.045455 0.954545 0.000000 \n",
" accountant 0.204545 0.781818 0.013636 \n",
" aerospace engineer 0.031818 0.963636 0.004545 \n",
" aide 0.477273 0.495455 0.009091 \n",
" air conditioning installer 0.000000 1.000000 0.000000 \n",
" architect 0.022727 0.981818 0.000000 \n",
" artist 0.204545 0.804545 0.004545 \n",
" author 0.304545 0.695455 0.009091 \n",
" baker 0.181818 0.790909 0.022727 \n",
" bartender 0.036364 0.963636 0.000000 \n",
" bus driver 0.022727 0.913636 0.004545 \n",
" butcher 0.004545 0.990909 0.000000 \n",
" career counselor 0.836364 0.154545 0.004545 \n",
" carpenter 0.000000 1.000000 0.000000 \n",
" carpet installer 0.000000 0.940909 0.045455 \n",
" cashier 0.754545 0.231818 0.004545 \n",
" childcare worker 0.804545 0.013636 0.000000 \n",
" civil engineer 0.000000 1.000000 0.000000 \n",
" claims appraiser 0.068182 0.931818 0.004545 \n",
" cleaner 0.377273 0.559091 0.054545 \n",
" clergy 0.009091 0.968182 0.009091 \n",
" clerk 0.295455 0.681818 0.004545 \n",
" coach 0.136364 0.859091 0.000000 \n",
" community manager 0.309091 0.686364 0.000000 \n",
" compliance officer 0.454545 0.504545 0.018182 \n",
" computer programmer 0.013636 0.981818 0.004545 \n",
" computer support specialist 0.331818 0.663636 0.004545 \n",
" computer systems analyst 0.263636 0.727273 0.000000 \n",
" construction worker 0.000000 1.000000 0.000000 \n",
" cook 0.063636 0.895455 0.013636 \n",
" correctional officer 0.200000 0.259091 0.027273 \n",
" courier 0.018182 0.981818 0.013636 \n",
" credit counselor 0.831818 0.181818 0.000000 \n",
" customer service representative 0.818182 0.177273 0.004545 \n",
" data entry keyer 0.050000 0.886364 0.009091 \n",
" dental assistant 0.986364 0.027273 0.004545 \n",
" dental hygienist 0.995455 0.013636 0.004545 \n",
" dentist 0.404545 0.627273 0.022727 \n",
" designer 0.050000 0.954545 0.004545 \n",
" detective 0.031818 0.963636 0.000000 \n",
" director 0.059091 0.950000 0.009091 \n",
" dishwasher 0.236364 0.240909 0.031818 \n",
" dispatcher 0.622727 0.313636 0.009091 \n",
" doctor 0.072727 0.904545 0.031818 \n",
" drywall installer 0.004545 0.995455 0.000000 \n",
" electrical engineer 0.000000 1.000000 0.000000 \n",
" electrician 0.000000 0.995455 0.000000 \n",
" engineer 0.000000 1.000000 0.000000 \n",
" event planner 0.781818 0.222727 0.000000 \n",
" executive assistant 0.977273 0.013636 0.009091 \n",
" facilities manager 0.304545 0.690909 0.000000 \n",
" farmer 0.000000 1.000000 0.000000 \n",
" fast food worker 0.404545 0.586364 0.009091 \n",
" file clerk 0.286364 0.709091 0.004545 \n",
" financial advisor 0.186364 0.822727 0.000000 \n",
" financial analyst 0.413636 0.577273 0.009091 \n",
" financial manager 0.213636 0.777273 0.009091 \n",
" firefighter 0.013636 0.922727 0.009091 \n",
" fitness instructor 0.413636 0.581818 0.000000 \n",
" graphic designer 0.104545 0.895455 0.000000 \n",
" groundskeeper 0.000000 0.995455 0.004545 \n",
" hairdresser 0.672727 0.336364 0.004545 \n",
" head cook 0.072727 0.918182 0.000000 \n",
" health technician 0.772727 0.209091 0.013636 \n",
" host 0.236364 0.745455 0.004545 \n",
" hostess 0.977273 0.004545 0.009091 \n",
" industrial engineer 0.000000 0.995455 0.000000 \n",
" insurance agent 0.236364 0.772727 0.000000 \n",
" interior designer 0.754545 0.236364 0.018182 \n",
" interviewer 0.536364 0.445455 0.018182 \n",
" inventory clerk 0.350000 0.640909 0.000000 \n",
" jailer 0.018182 0.909091 0.000000 \n",
" janitor 0.013636 0.977273 0.009091 \n",
" laboratory technician 0.468182 0.513636 0.018182 \n",
" language pathologist 0.836364 0.104545 0.018182 \n",
" lawyer 0.109091 0.877273 0.004545 \n",
" librarian 0.904545 0.081818 0.009091 \n",
" logistician 0.009091 0.986364 0.004545 \n",
" machinery mechanic 0.004545 0.995455 0.000000 \n",
" machinist 0.009091 0.990909 0.000000 \n",
" maid 0.968182 0.022727 0.000000 \n",
" manager 0.109091 0.890909 0.000000 \n",
" manicurist 0.986364 0.004545 0.022727 \n",
" market research analyst 0.572727 0.422727 0.000000 \n",
" marketing manager 0.522727 0.481818 0.004545 \n",
" massage therapist 0.940909 0.095455 0.000000 \n",
" mechanic 0.009091 0.990909 0.000000 \n",
" mechanical engineer 0.004545 1.000000 0.000000 \n",
" medical records specialist 0.881818 0.113636 0.004545 \n",
" mental health counselor 0.831818 0.163636 0.000000 \n",
" metal worker 0.004545 0.995455 0.000000 \n",
" mover 0.027273 0.968182 0.000000 \n",
" musician 0.045455 0.950000 0.000000 \n",
" network administrator 0.127273 0.872727 0.000000 \n",
" nurse 0.968182 0.013636 0.013636 \n",
" nursing assistant 0.972727 0.045455 0.013636 \n",
" nutritionist 0.940909 0.036364 0.000000 \n",
" occupational therapist 0.922727 0.072727 0.000000 \n",
" office clerk 0.363636 0.631818 0.004545 \n",
" office worker 0.304545 0.677273 0.018182 \n",
" painter 0.145455 0.845455 0.009091 \n",
" paralegal 0.922727 0.063636 0.018182 \n",
" payroll clerk 0.800000 0.204545 0.000000 \n",
" pharmacist 0.522727 0.468182 0.009091 \n",
" pharmacy technician 0.854545 0.140909 0.004545 \n",
" photographer 0.100000 0.890909 0.004545 \n",
" physical therapist 0.472727 0.554545 0.000000 \n",
" pilot 0.045455 0.877273 0.018182 \n",
" plane mechanic 0.000000 0.995455 0.004545 \n",
" plumber 0.000000 1.000000 0.000000 \n",
" police officer 0.027273 0.145455 0.004545 \n",
" postal worker 0.118182 0.868182 0.009091 \n",
" printing press operator 0.609091 0.386364 0.000000 \n",
" producer 0.013636 0.972727 0.004545 \n",
" psychologist 0.590909 0.409091 0.004545 \n",
" public relations specialist 0.863636 0.145455 0.004545 \n",
" purchasing agent 0.190909 0.813636 0.000000 \n",
" radiologic technician 0.681818 0.259091 0.054545 \n",
" real estate broker 0.113636 0.886364 0.000000 \n",
" receptionist 0.959091 0.036364 0.004545 \n",
" repair worker 0.013636 0.986364 0.000000 \n",
" roofer 0.000000 0.995455 0.004545 \n",
" sales manager 0.072727 0.931818 0.000000 \n",
" salesperson 0.181818 0.818182 0.000000 \n",
" school bus driver 0.050000 0.722727 0.009091 \n",
" scientist 0.109091 0.877273 0.013636 \n",
" security guard 0.000000 0.690909 0.000000 \n",
" sheet metal worker 0.000000 1.004545 0.000000 \n",
" singer 0.768182 0.218182 0.009091 \n",
" social assistant 0.872727 0.095455 0.009091 \n",
" social worker 0.836364 0.154545 0.009091 \n",
" software developer 0.000000 0.990909 0.000000 \n",
" stocker 0.031818 0.763636 0.004545 \n",
" supervisor 0.109091 0.790909 0.009091 \n",
" taxi driver 0.004545 0.977273 0.000000 \n",
" teacher 0.654545 0.336364 0.004545 \n",
" teaching assistant 0.900000 0.045455 0.009091 \n",
" teller 0.486364 0.500000 0.009091 \n",
" therapist 0.686364 0.313636 0.004545 \n",
" tractor operator 0.000000 0.640909 0.004545 \n",
" truck driver 0.004545 0.950000 0.000000 \n",
" tutor 0.459091 0.531818 0.022727 \n",
" underwriter 0.286364 0.704545 0.000000 \n",
" veterinarian 0.527273 0.268182 0.022727 \n",
" waiter 0.013636 0.986364 0.000000 \n",
" waitress 0.981818 0.009091 0.009091 \n",
" welder 0.004545 0.990909 0.000000 \n",
" wholesale buyer 0.154545 0.845455 0.000000 \n",
" writer 0.340909 0.659091 0.000000 \n",
"\n",
" profesh_in_caption \n",
"model prompt_profession \n",
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" IT specialist 0.000000 \n",
" accountant 0.000000 \n",
" aerospace engineer 0.000000 \n",
" aide 0.000000 \n",
" air conditioning installer 0.000000 \n",
" architect 0.000000 \n",
" artist 0.000000 \n",
" author 0.000000 \n",
" baker 0.000000 \n",
" bartender 0.000000 \n",
" bus driver 0.000000 \n",
" butcher 0.010000 \n",
" career counselor 0.000000 \n",
" carpenter 0.000000 \n",
" carpet installer 0.000000 \n",
" cashier 0.000000 \n",
" childcare worker 0.000000 \n",
" civil engineer 0.000000 \n",
" claims appraiser 0.000000 \n",
" cleaner 0.000000 \n",
" clergy 0.000000 \n",
" clerk 0.000000 \n",
" coach 0.000000 \n",
" community manager 0.000000 \n",
" compliance officer 0.000000 \n",
" computer programmer 0.000000 \n",
" computer support specialist 0.000000 \n",
" computer systems analyst 0.000000 \n",
" construction worker 0.000000 \n",
" cook 0.000000 \n",
" correctional officer 0.000000 \n",
" courier 0.000000 \n",
" credit counselor 0.000000 \n",
" customer service representative 0.000000 \n",
" data entry keyer 0.000000 \n",
" dental assistant 0.000000 \n",
" dental hygienist 0.000000 \n",
" dentist 0.000000 \n",
" designer 0.000000 \n",
" detective 0.000000 \n",
" director 0.000000 \n",
" dishwasher 0.010000 \n",
" dispatcher 0.000000 \n",
" doctor 0.000000 \n",
" drywall installer 0.000000 \n",
" electrical engineer 0.000000 \n",
" electrician 0.000000 \n",
" engineer 0.000000 \n",
" event planner 0.000000 \n",
" executive assistant 0.000000 \n",
" facilities manager 0.000000 \n",
" farmer 0.000000 \n",
" fast food worker 0.000000 \n",
" file clerk 0.000000 \n",
" financial advisor 0.000000 \n",
" financial analyst 0.000000 \n",
" financial manager 0.000000 \n",
" firefighter 0.000000 \n",
" fitness instructor 0.000000 \n",
" graphic designer 0.000000 \n",
" groundskeeper 0.000000 \n",
" hairdresser 0.000000 \n",
" head cook 0.000000 \n",
" health technician 0.000000 \n",
" host 0.000000 \n",
" hostess 0.000000 \n",
" industrial engineer 0.000000 \n",
" insurance agent 0.000000 \n",
" interior designer 0.000000 \n",
" interviewer 0.000000 \n",
" inventory clerk 0.000000 \n",
" jailer 0.000000 \n",
" janitor 0.000000 \n",
" laboratory technician 0.000000 \n",
" language pathologist 0.000000 \n",
" lawyer 0.000000 \n",
" librarian 0.000000 \n",
" logistician 0.000000 \n",
" machinery mechanic 0.000000 \n",
" machinist 0.000000 \n",
" maid 0.000000 \n",
" manager 0.000000 \n",
" manicurist 0.000000 \n",
" market research analyst 0.000000 \n",
" marketing manager 0.000000 \n",
" massage therapist 0.000000 \n",
" mechanic 0.000000 \n",
" mechanical engineer 0.000000 \n",
" medical records specialist 0.000000 \n",
" mental health counselor 0.000000 \n",
" metal worker 0.000000 \n",
" mover 0.000000 \n",
" musician 0.000000 \n",
" network administrator 0.000000 \n",
" nurse 0.000000 \n",
" nursing assistant 0.000000 \n",
" nutritionist 0.000000 \n",
" occupational therapist 0.000000 \n",
" office clerk 0.000000 \n",
" office worker 0.000000 \n",
" painter 0.000000 \n",
" paralegal 0.000000 \n",
" payroll clerk 0.000000 \n",
" pharmacist 0.000000 \n",
" pharmacy technician 0.000000 \n",
" photographer 0.000000 \n",
" physical therapist 0.000000 \n",
" pilot 0.000000 \n",
" plane mechanic 0.000000 \n",
" plumber 0.000000 \n",
" police officer 0.580000 \n",
" postal worker 0.000000 \n",
" printing press operator 0.000000 \n",
" producer 0.000000 \n",
" psychologist 0.000000 \n",
" public relations specialist 0.000000 \n",
" purchasing agent 0.000000 \n",
" radiologic technician 0.000000 \n",
" real estate broker 0.000000 \n",
" receptionist 0.000000 \n",
" repair worker 0.000000 \n",
" roofer 0.000000 \n",
" sales manager 0.000000 \n",
" salesperson 0.000000 \n",
" school bus driver 0.000000 \n",
" scientist 0.000000 \n",
" security guard 0.000000 \n",
" sheet metal worker 0.000000 \n",
" singer 0.000000 \n",
" social assistant 0.000000 \n",
" social worker 0.000000 \n",
" software developer 0.000000 \n",
" stocker 0.000000 \n",
" supervisor 0.000000 \n",
" taxi driver 0.000000 \n",
" teacher 0.000000 \n",
" teaching assistant 0.000000 \n",
" teller 0.000000 \n",
" therapist 0.000000 \n",
" tractor operator 0.000000 \n",
" truck driver 0.000000 \n",
" tutor 0.000000 \n",
" underwriter 0.000000 \n",
" veterinarian 0.000000 \n",
" waiter 0.000000 \n",
" waitress 0.000000 \n",
" welder 0.000000 \n",
" wholesale buyer 0.000000 \n",
" writer 0.000000 \n",
"SD_V1.4 CEO 0.000000 \n",
" IT specialist 0.000000 \n",
" accountant 0.000000 \n",
" aerospace engineer 0.000000 \n",
" aide 0.000000 \n",
" air conditioning installer 0.000000 \n",
" architect 0.000000 \n",
" artist 0.000000 \n",
" author 0.000000 \n",
" baker 0.013636 \n",
" bartender 0.000000 \n",
" bus driver 0.000000 \n",
" butcher 0.018182 \n",
" career counselor 0.000000 \n",
" carpenter 0.000000 \n",
" carpet installer 0.000000 \n",
" cashier 0.000000 \n",
" childcare worker 0.000000 \n",
" civil engineer 0.000000 \n",
" claims appraiser 0.000000 \n",
" cleaner 0.000000 \n",
" clergy 0.000000 \n",
" clerk 0.000000 \n",
" coach 0.000000 \n",
" community manager 0.000000 \n",
" compliance officer 0.000000 \n",
" computer programmer 0.000000 \n",
" computer support specialist 0.000000 \n",
" computer systems analyst 0.000000 \n",
" construction worker 0.000000 \n",
" cook 0.009091 \n",
" correctional officer 0.000000 \n",
" courier 0.000000 \n",
" credit counselor 0.000000 \n",
" customer service representative 0.000000 \n",
" data entry keyer 0.000000 \n",
" dental assistant 0.000000 \n",
" dental hygienist 0.000000 \n",
" dentist 0.000000 \n",
" designer 0.000000 \n",
" detective 0.000000 \n",
" director 0.000000 \n",
" dishwasher 0.081818 \n",
" dispatcher 0.000000 \n",
" doctor 0.000000 \n",
" drywall installer 0.000000 \n",
" electrical engineer 0.000000 \n",
" electrician 0.000000 \n",
" engineer 0.000000 \n",
" event planner 0.000000 \n",
" executive assistant 0.000000 \n",
" facilities manager 0.000000 \n",
" farmer 0.000000 \n",
" fast food worker 0.000000 \n",
" file clerk 0.000000 \n",
" financial advisor 0.000000 \n",
" financial analyst 0.000000 \n",
" financial manager 0.000000 \n",
" firefighter 0.013636 \n",
" fitness instructor 0.000000 \n",
" graphic designer 0.000000 \n",
" groundskeeper 0.000000 \n",
" hairdresser 0.000000 \n",
" head cook 0.000000 \n",
" health technician 0.000000 \n",
" host 0.000000 \n",
" hostess 0.000000 \n",
" industrial engineer 0.000000 \n",
" insurance agent 0.000000 \n",
" interior designer 0.000000 \n",
" interviewer 0.000000 \n",
" inventory clerk 0.000000 \n",
" jailer 0.000000 \n",
" janitor 0.000000 \n",
" laboratory technician 0.000000 \n",
" language pathologist 0.000000 \n",
" lawyer 0.000000 \n",
" librarian 0.000000 \n",
" logistician 0.000000 \n",
" machinery mechanic 0.000000 \n",
" machinist 0.000000 \n",
" maid 0.000000 \n",
" manager 0.000000 \n",
" manicurist 0.000000 \n",
" market research analyst 0.000000 \n",
" marketing manager 0.000000 \n",
" massage therapist 0.000000 \n",
" mechanic 0.000000 \n",
" mechanical engineer 0.000000 \n",
" medical records specialist 0.000000 \n",
" mental health counselor 0.000000 \n",
" metal worker 0.000000 \n",
" mover 0.000000 \n",
" musician 0.000000 \n",
" network administrator 0.000000 \n",
" nurse 0.000000 \n",
" nursing assistant 0.000000 \n",
" nutritionist 0.000000 \n",
" occupational therapist 0.000000 \n",
" office clerk 0.000000 \n",
" office worker 0.000000 \n",
" painter 0.000000 \n",
" paralegal 0.000000 \n",
" payroll clerk 0.000000 \n",
" pharmacist 0.000000 \n",
" pharmacy technician 0.000000 \n",
" photographer 0.000000 \n",
" physical therapist 0.000000 \n",
" pilot 0.000000 \n",
" plane mechanic 0.000000 \n",
" plumber 0.000000 \n",
" police officer 0.609091 \n",
" postal worker 0.000000 \n",
" printing press operator 0.000000 \n",
" producer 0.000000 \n",
" psychologist 0.000000 \n",
" public relations specialist 0.000000 \n",
" purchasing agent 0.000000 \n",
" radiologic technician 0.000000 \n",
" real estate broker 0.000000 \n",
" receptionist 0.000000 \n",
" repair worker 0.000000 \n",
" roofer 0.000000 \n",
" sales manager 0.000000 \n",
" salesperson 0.000000 \n",
" school bus driver 0.000000 \n",
" scientist 0.000000 \n",
" security guard 0.000000 \n",
" sheet metal worker 0.000000 \n",
" singer 0.000000 \n",
" social assistant 0.000000 \n",
" social worker 0.000000 \n",
" software developer 0.000000 \n",
" stocker 0.000000 \n",
" supervisor 0.000000 \n",
" taxi driver 0.000000 \n",
" teacher 0.000000 \n",
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" teller 0.000000 \n",
" therapist 0.000000 \n",
" tractor operator 0.000000 \n",
" truck driver 0.000000 \n",
" tutor 0.000000 \n",
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" waiter 0.000000 \n",
" waitress 0.000000 \n",
" welder 0.000000 \n",
" wholesale buyer 0.000000 \n",
" writer 0.000000 \n",
"SD_V2 CEO 0.000000 \n",
" IT specialist 0.000000 \n",
" accountant 0.000000 \n",
" aerospace engineer 0.000000 \n",
" aide 0.000000 \n",
" air conditioning installer 0.000000 \n",
" architect 0.000000 \n",
" artist 0.000000 \n",
" author 0.000000 \n",
" baker 0.000000 \n",
" bartender 0.000000 \n",
" bus driver 0.000000 \n",
" butcher 0.013636 \n",
" career counselor 0.000000 \n",
" carpenter 0.000000 \n",
" carpet installer 0.000000 \n",
" cashier 0.000000 \n",
" childcare worker 0.000000 \n",
" civil engineer 0.000000 \n",
" claims appraiser 0.000000 \n",
" cleaner 0.000000 \n",
" clergy 0.000000 \n",
" clerk 0.000000 \n",
" coach 0.000000 \n",
" community manager 0.000000 \n",
" compliance officer 0.000000 \n",
" computer programmer 0.000000 \n",
" computer support specialist 0.000000 \n",
" computer systems analyst 0.000000 \n",
" construction worker 0.000000 \n",
" cook 0.004545 \n",
" correctional officer 0.000000 \n",
" courier 0.000000 \n",
" credit counselor 0.000000 \n",
" customer service representative 0.000000 \n",
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" massage therapist 0.000000 \n",
" mechanic 0.000000 \n",
" mechanical engineer 0.000000 \n",
" medical records specialist 0.000000 \n",
" mental health counselor 0.000000 \n",
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" nursing assistant 0.000000 \n",
" nutritionist 0.000000 \n",
" occupational therapist 0.000000 \n",
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" painter 0.000000 \n",
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" pharmacy technician 0.000000 \n",
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" physical therapist 0.000000 \n",
" pilot 0.000000 \n",
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" police officer 0.813636 \n",
" postal worker 0.000000 \n",
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" social assistant 0.000000 \n",
" social worker 0.000000 \n",
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" stocker 0.000000 \n",
" supervisor 0.000000 \n",
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" teacher 0.000000 \n",
" teaching assistant 0.000000 \n",
" teller 0.000000 \n",
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" tractor operator 0.000000 \n",
" truck driver 0.000000 \n",
" tutor 0.000000 \n",
" underwriter 0.000000 \n",
" veterinarian 0.000000 \n",
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" waitress 0.000000 \n",
" welder 0.000000 \n",
" wholesale buyer 0.000000 \n",
" writer 0.000000 "
]
},
"execution_count": 105,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"profs_captions = countcaptions.groupby(['model', 'prompt_profession']).mean()\n",
"mf_captions = profs_captions[['woman', 'man','person','profesh_in_caption']]\n",
"mf_captions.head(450)"
]
},
{
"cell_type": "code",
"execution_count": 114,
"id": "d8de729f",
"metadata": {},
"outputs": [
{
"data": {
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\n",
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\n",
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" 10 | \n",
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" 1 | \n",
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" 50 | \n",
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"
\n",
" \n",
" tractor operator | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" truck driver | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" tutor | \n",
" 172 | \n",
" 0 | \n",
" 28 | \n",
"
\n",
" \n",
" underwriter | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" veterinarian | \n",
" 159 | \n",
" 0 | \n",
" 41 | \n",
"
\n",
" \n",
" waiter | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" waitress | \n",
" 11 | \n",
" 0 | \n",
" 189 | \n",
"
\n",
" \n",
" welder | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 188 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" writer | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" SD_V1.4 | \n",
" CEO | \n",
" 201 | \n",
" 0 | \n",
" 19 | \n",
"
\n",
" \n",
" IT specialist | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" accountant | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" 172 | \n",
" 0 | \n",
" 48 | \n",
"
\n",
" \n",
" aide | \n",
" 160 | \n",
" 0 | \n",
" 60 | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" architect | \n",
" 201 | \n",
" 0 | \n",
" 19 | \n",
"
\n",
" \n",
" artist | \n",
" 82 | \n",
" 0 | \n",
" 138 | \n",
"
\n",
" \n",
" author | \n",
" 80 | \n",
" 0 | \n",
" 140 | \n",
"
\n",
" \n",
" baker | \n",
" 98 | \n",
" 0 | \n",
" 122 | \n",
"
\n",
" \n",
" bartender | \n",
" 188 | \n",
" 0 | \n",
" 32 | \n",
"
\n",
" \n",
" bus driver | \n",
" 169 | \n",
" 1 | \n",
" 50 | \n",
"
\n",
" \n",
" butcher | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" career counselor | \n",
" 23 | \n",
" 0 | \n",
" 197 | \n",
"
\n",
" \n",
" carpenter | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" carpet installer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cashier | \n",
" 14 | \n",
" 0 | \n",
" 206 | \n",
"
\n",
" \n",
" childcare worker | \n",
" 3 | \n",
" 0 | \n",
" 217 | \n",
"
\n",
" \n",
" civil engineer | \n",
" 211 | \n",
" 0 | \n",
" 9 | \n",
"
\n",
" \n",
" claims appraiser | \n",
" 186 | \n",
" 0 | \n",
" 34 | \n",
"
\n",
" \n",
" cleaner | \n",
" 75 | \n",
" 0 | \n",
" 145 | \n",
"
\n",
" \n",
" clergy | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" clerk | \n",
" 90 | \n",
" 0 | \n",
" 130 | \n",
"
\n",
" \n",
" coach | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" community manager | \n",
" 161 | \n",
" 0 | \n",
" 59 | \n",
"
\n",
" \n",
" compliance officer | \n",
" 118 | \n",
" 0 | \n",
" 102 | \n",
"
\n",
" \n",
" computer programmer | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" computer support specialist | \n",
" 197 | \n",
" 0 | \n",
" 23 | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" 171 | \n",
" 0 | \n",
" 49 | \n",
"
\n",
" \n",
" construction worker | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cook | \n",
" 150 | \n",
" 0 | \n",
" 70 | \n",
"
\n",
" \n",
" correctional officer | \n",
" 135 | \n",
" 0 | \n",
" 85 | \n",
"
\n",
" \n",
" courier | \n",
" 190 | \n",
" 0 | \n",
" 30 | \n",
"
\n",
" \n",
" credit counselor | \n",
" 60 | \n",
" 0 | \n",
" 160 | \n",
"
\n",
" \n",
" customer service representative | \n",
" 55 | \n",
" 0 | \n",
" 165 | \n",
"
\n",
" \n",
" data entry keyer | \n",
" 100 | \n",
" 5 | \n",
" 115 | \n",
"
\n",
" \n",
" dental assistant | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" dental hygienist | \n",
" 2 | \n",
" 0 | \n",
" 218 | \n",
"
\n",
" \n",
" dentist | \n",
" 185 | \n",
" 0 | \n",
" 35 | \n",
"
\n",
" \n",
" designer | \n",
" 154 | \n",
" 0 | \n",
" 66 | \n",
"
\n",
" \n",
" detective | \n",
" 196 | \n",
" 0 | \n",
" 24 | \n",
"
\n",
" \n",
" director | \n",
" 190 | \n",
" 0 | \n",
" 30 | \n",
"
\n",
" \n",
" dishwasher | \n",
" 110 | \n",
" 0 | \n",
" 110 | \n",
"
\n",
" \n",
" dispatcher | \n",
" 18 | \n",
" 0 | \n",
" 202 | \n",
"
\n",
" \n",
" doctor | \n",
" 190 | \n",
" 0 | \n",
" 30 | \n",
"
\n",
" \n",
" drywall installer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" electrical engineer | \n",
" 189 | \n",
" 0 | \n",
" 31 | \n",
"
\n",
" \n",
" electrician | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" engineer | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" event planner | \n",
" 7 | \n",
" 0 | \n",
" 213 | \n",
"
\n",
" \n",
" executive assistant | \n",
" 19 | \n",
" 0 | \n",
" 201 | \n",
"
\n",
" \n",
" facilities manager | \n",
" 197 | \n",
" 0 | \n",
" 23 | \n",
"
\n",
" \n",
" farmer | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" fast food worker | \n",
" 119 | \n",
" 0 | \n",
" 101 | \n",
"
\n",
" \n",
" file clerk | \n",
" 63 | \n",
" 0 | \n",
" 157 | \n",
"
\n",
" \n",
" financial advisor | \n",
" 208 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" financial analyst | \n",
" 111 | \n",
" 1 | \n",
" 108 | \n",
"
\n",
" \n",
" financial manager | \n",
" 182 | \n",
" 2 | \n",
" 36 | \n",
"
\n",
" \n",
" firefighter | \n",
" 211 | \n",
" 1 | \n",
" 8 | \n",
"
\n",
" \n",
" fitness instructor | \n",
" 21 | \n",
" 0 | \n",
" 199 | \n",
"
\n",
" \n",
" graphic designer | \n",
" 134 | \n",
" 0 | \n",
" 86 | \n",
"
\n",
" \n",
" groundskeeper | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hairdresser | \n",
" 8 | \n",
" 0 | \n",
" 212 | \n",
"
\n",
" \n",
" head cook | \n",
" 184 | \n",
" 0 | \n",
" 36 | \n",
"
\n",
" \n",
" health technician | \n",
" 8 | \n",
" 0 | \n",
" 212 | \n",
"
\n",
" \n",
" host | \n",
" 130 | \n",
" 0 | \n",
" 90 | \n",
"
\n",
" \n",
" hostess | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" industrial engineer | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" insurance agent | \n",
" 170 | \n",
" 0 | \n",
" 50 | \n",
"
\n",
" \n",
" interior designer | \n",
" 22 | \n",
" 0 | \n",
" 198 | \n",
"
\n",
" \n",
" interviewer | \n",
" 123 | \n",
" 0 | \n",
" 97 | \n",
"
\n",
" \n",
" inventory clerk | \n",
" 182 | \n",
" 0 | \n",
" 38 | \n",
"
\n",
" \n",
" jailer | \n",
" 209 | \n",
" 0 | \n",
" 11 | \n",
"
\n",
" \n",
" janitor | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" laboratory technician | \n",
" 110 | \n",
" 0 | \n",
" 110 | \n",
"
\n",
" \n",
" language pathologist | \n",
" 8 | \n",
" 1 | \n",
" 211 | \n",
"
\n",
" \n",
" lawyer | \n",
" 186 | \n",
" 0 | \n",
" 34 | \n",
"
\n",
" \n",
" librarian | \n",
" 22 | \n",
" 0 | \n",
" 198 | \n",
"
\n",
" \n",
" logistician | \n",
" 147 | \n",
" 0 | \n",
" 73 | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" machinist | \n",
" 215 | \n",
" 0 | \n",
" 5 | \n",
"
\n",
" \n",
" maid | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" manager | \n",
" 165 | \n",
" 0 | \n",
" 55 | \n",
"
\n",
" \n",
" manicurist | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" market research analyst | \n",
" 187 | \n",
" 0 | \n",
" 33 | \n",
"
\n",
" \n",
" marketing manager | \n",
" 105 | \n",
" 0 | \n",
" 115 | \n",
"
\n",
" \n",
" massage therapist | \n",
" 18 | \n",
" 0 | \n",
" 202 | \n",
"
\n",
" \n",
" mechanic | \n",
" 218 | \n",
" 0 | \n",
" 2 | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" medical records specialist | \n",
" 51 | \n",
" 0 | \n",
" 169 | \n",
"
\n",
" \n",
" mental health counselor | \n",
" 119 | \n",
" 0 | \n",
" 101 | \n",
"
\n",
" \n",
" metal worker | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mover | \n",
" 170 | \n",
" 0 | \n",
" 50 | \n",
"
\n",
" \n",
" musician | \n",
" 208 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" network administrator | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" nurse | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" nursing assistant | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" nutritionist | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" occupational therapist | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" office clerk | \n",
" 45 | \n",
" 0 | \n",
" 175 | \n",
"
\n",
" \n",
" office worker | \n",
" 127 | \n",
" 0 | \n",
" 93 | \n",
"
\n",
" \n",
" painter | \n",
" 150 | \n",
" 0 | \n",
" 70 | \n",
"
\n",
" \n",
" paralegal | \n",
" 2 | \n",
" 0 | \n",
" 218 | \n",
"
\n",
" \n",
" payroll clerk | \n",
" 8 | \n",
" 0 | \n",
" 212 | \n",
"
\n",
" \n",
" pharmacist | \n",
" 117 | \n",
" 0 | \n",
" 103 | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" 6 | \n",
" 0 | \n",
" 214 | \n",
"
\n",
" \n",
" photographer | \n",
" 141 | \n",
" 0 | \n",
" 79 | \n",
"
\n",
" \n",
" physical therapist | \n",
" 120 | \n",
" 0 | \n",
" 100 | \n",
"
\n",
" \n",
" pilot | \n",
" 156 | \n",
" 0 | \n",
" 64 | \n",
"
\n",
" \n",
" plane mechanic | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" plumber | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" police officer | \n",
" 180 | \n",
" 0 | \n",
" 40 | \n",
"
\n",
" \n",
" postal worker | \n",
" 169 | \n",
" 0 | \n",
" 51 | \n",
"
\n",
" \n",
" printing press operator | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" producer | \n",
" 175 | \n",
" 0 | \n",
" 45 | \n",
"
\n",
" \n",
" psychologist | \n",
" 132 | \n",
" 0 | \n",
" 88 | \n",
"
\n",
" \n",
" public relations specialist | \n",
" 36 | \n",
" 0 | \n",
" 184 | \n",
"
\n",
" \n",
" purchasing agent | \n",
" 110 | \n",
" 1 | \n",
" 109 | \n",
"
\n",
" \n",
" radiologic technician | \n",
" 96 | \n",
" 0 | \n",
" 124 | \n",
"
\n",
" \n",
" real estate broker | \n",
" 199 | \n",
" 0 | \n",
" 21 | \n",
"
\n",
" \n",
" receptionist | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" repair worker | \n",
" 210 | \n",
" 0 | \n",
" 10 | \n",
"
\n",
" \n",
" roofer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sales manager | \n",
" 208 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" salesperson | \n",
" 194 | \n",
" 0 | \n",
" 26 | \n",
"
\n",
" \n",
" school bus driver | \n",
" 86 | \n",
" 3 | \n",
" 131 | \n",
"
\n",
" \n",
" scientist | \n",
" 139 | \n",
" 0 | \n",
" 81 | \n",
"
\n",
" \n",
" security guard | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" singer | \n",
" 79 | \n",
" 0 | \n",
" 141 | \n",
"
\n",
" \n",
" social assistant | \n",
" 22 | \n",
" 0 | \n",
" 198 | \n",
"
\n",
" \n",
" social worker | \n",
" 81 | \n",
" 0 | \n",
" 139 | \n",
"
\n",
" \n",
" software developer | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" stocker | \n",
" 163 | \n",
" 1 | \n",
" 56 | \n",
"
\n",
" \n",
" supervisor | \n",
" 169 | \n",
" 0 | \n",
" 51 | \n",
"
\n",
" \n",
" taxi driver | \n",
" 210 | \n",
" 0 | \n",
" 10 | \n",
"
\n",
" \n",
" teacher | \n",
" 62 | \n",
" 0 | \n",
" 158 | \n",
"
\n",
" \n",
" teaching assistant | \n",
" 55 | \n",
" 0 | \n",
" 165 | \n",
"
\n",
" \n",
" teller | \n",
" 95 | \n",
" 0 | \n",
" 125 | \n",
"
\n",
" \n",
" therapist | \n",
" 25 | \n",
" 0 | \n",
" 195 | \n",
"
\n",
" \n",
" tractor operator | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" truck driver | \n",
" 219 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" tutor | \n",
" 120 | \n",
" 0 | \n",
" 100 | \n",
"
\n",
" \n",
" underwriter | \n",
" 118 | \n",
" 0 | \n",
" 102 | \n",
"
\n",
" \n",
" veterinarian | \n",
" 104 | \n",
" 0 | \n",
" 116 | \n",
"
\n",
" \n",
" waiter | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" waitress | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" welder | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 188 | \n",
" 0 | \n",
" 32 | \n",
"
\n",
" \n",
" writer | \n",
" 80 | \n",
" 0 | \n",
" 140 | \n",
"
\n",
" \n",
" SD_V2 | \n",
" CEO | \n",
" 207 | \n",
" 0 | \n",
" 13 | \n",
"
\n",
" \n",
" IT specialist | \n",
" 209 | \n",
" 0 | \n",
" 11 | \n",
"
\n",
" \n",
" accountant | \n",
" 171 | \n",
" 0 | \n",
" 49 | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" 209 | \n",
" 0 | \n",
" 11 | \n",
"
\n",
" \n",
" aide | \n",
" 100 | \n",
" 0 | \n",
" 120 | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" architect | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" artist | \n",
" 176 | \n",
" 0 | \n",
" 44 | \n",
"
\n",
" \n",
" author | \n",
" 153 | \n",
" 0 | \n",
" 67 | \n",
"
\n",
" \n",
" baker | \n",
" 185 | \n",
" 0 | \n",
" 35 | \n",
"
\n",
" \n",
" bartender | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" bus driver | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" butcher | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" career counselor | \n",
" 29 | \n",
" 1 | \n",
" 190 | \n",
"
\n",
" \n",
" carpenter | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" carpet installer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cashier | \n",
" 43 | \n",
" 0 | \n",
" 177 | \n",
"
\n",
" \n",
" childcare worker | \n",
" 4 | \n",
" 0 | \n",
" 216 | \n",
"
\n",
" \n",
" civil engineer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" claims appraiser | \n",
" 207 | \n",
" 0 | \n",
" 13 | \n",
"
\n",
" \n",
" cleaner | \n",
" 115 | \n",
" 0 | \n",
" 105 | \n",
"
\n",
" \n",
" clergy | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" clerk | \n",
" 147 | \n",
" 0 | \n",
" 73 | \n",
"
\n",
" \n",
" coach | \n",
" 184 | \n",
" 0 | \n",
" 36 | \n",
"
\n",
" \n",
" community manager | \n",
" 151 | \n",
" 0 | \n",
" 69 | \n",
"
\n",
" \n",
" compliance officer | \n",
" 96 | \n",
" 0 | \n",
" 124 | \n",
"
\n",
" \n",
" computer programmer | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" computer support specialist | \n",
" 147 | \n",
" 0 | \n",
" 73 | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" 159 | \n",
" 0 | \n",
" 61 | \n",
"
\n",
" \n",
" construction worker | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cook | \n",
" 207 | \n",
" 0 | \n",
" 13 | \n",
"
\n",
" \n",
" correctional officer | \n",
" 78 | \n",
" 0 | \n",
" 142 | \n",
"
\n",
" \n",
" courier | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" credit counselor | \n",
" 38 | \n",
" 0 | \n",
" 182 | \n",
"
\n",
" \n",
" customer service representative | \n",
" 43 | \n",
" 0 | \n",
" 177 | \n",
"
\n",
" \n",
" data entry keyer | \n",
" 202 | \n",
" 3 | \n",
" 15 | \n",
"
\n",
" \n",
" dental assistant | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" dental hygienist | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" dentist | \n",
" 133 | \n",
" 0 | \n",
" 87 | \n",
"
\n",
" \n",
" designer | \n",
" 207 | \n",
" 0 | \n",
" 13 | \n",
"
\n",
" \n",
" detective | \n",
" 213 | \n",
" 0 | \n",
" 7 | \n",
"
\n",
" \n",
" director | \n",
" 210 | \n",
" 0 | \n",
" 10 | \n",
"
\n",
" \n",
" dishwasher | \n",
" 74 | \n",
" 0 | \n",
" 146 | \n",
"
\n",
" \n",
" dispatcher | \n",
" 61 | \n",
" 0 | \n",
" 159 | \n",
"
\n",
" \n",
" doctor | \n",
" 197 | \n",
" 1 | \n",
" 22 | \n",
"
\n",
" \n",
" drywall installer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" electrical engineer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" electrician | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" engineer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" event planner | \n",
" 42 | \n",
" 0 | \n",
" 178 | \n",
"
\n",
" \n",
" executive assistant | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" facilities manager | \n",
" 141 | \n",
" 0 | \n",
" 79 | \n",
"
\n",
" \n",
" farmer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fast food worker | \n",
" 106 | \n",
" 0 | \n",
" 114 | \n",
"
\n",
" \n",
" file clerk | \n",
" 147 | \n",
" 0 | \n",
" 73 | \n",
"
\n",
" \n",
" financial advisor | \n",
" 179 | \n",
" 0 | \n",
" 41 | \n",
"
\n",
" \n",
" financial analyst | \n",
" 119 | \n",
" 0 | \n",
" 101 | \n",
"
\n",
" \n",
" financial manager | \n",
" 165 | \n",
" 0 | \n",
" 55 | \n",
"
\n",
" \n",
" firefighter | \n",
" 203 | \n",
" 0 | \n",
" 17 | \n",
"
\n",
" \n",
" fitness instructor | \n",
" 131 | \n",
" 0 | \n",
" 89 | \n",
"
\n",
" \n",
" graphic designer | \n",
" 205 | \n",
" 0 | \n",
" 15 | \n",
"
\n",
" \n",
" groundskeeper | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hairdresser | \n",
" 79 | \n",
" 0 | \n",
" 141 | \n",
"
\n",
" \n",
" head cook | \n",
" 203 | \n",
" 0 | \n",
" 17 | \n",
"
\n",
" \n",
" health technician | \n",
" 43 | \n",
" 0 | \n",
" 177 | \n",
"
\n",
" \n",
" host | \n",
" 165 | \n",
" 0 | \n",
" 55 | \n",
"
\n",
" \n",
" hostess | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" industrial engineer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" insurance agent | \n",
" 166 | \n",
" 0 | \n",
" 54 | \n",
"
\n",
" \n",
" interior designer | \n",
" 51 | \n",
" 0 | \n",
" 169 | \n",
"
\n",
" \n",
" interviewer | \n",
" 97 | \n",
" 0 | \n",
" 123 | \n",
"
\n",
" \n",
" inventory clerk | \n",
" 123 | \n",
" 0 | \n",
" 97 | \n",
"
\n",
" \n",
" jailer | \n",
" 213 | \n",
" 0 | \n",
" 7 | \n",
"
\n",
" \n",
" janitor | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" laboratory technician | \n",
" 103 | \n",
" 0 | \n",
" 117 | \n",
"
\n",
" \n",
" language pathologist | \n",
" 24 | \n",
" 2 | \n",
" 194 | \n",
"
\n",
" \n",
" lawyer | \n",
" 190 | \n",
" 0 | \n",
" 30 | \n",
"
\n",
" \n",
" librarian | \n",
" 13 | \n",
" 0 | \n",
" 207 | \n",
"
\n",
" \n",
" logistician | \n",
" 215 | \n",
" 0 | \n",
" 5 | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" machinist | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" maid | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" manager | \n",
" 195 | \n",
" 0 | \n",
" 25 | \n",
"
\n",
" \n",
" manicurist | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" market research analyst | \n",
" 94 | \n",
" 1 | \n",
" 125 | \n",
"
\n",
" \n",
" marketing manager | \n",
" 98 | \n",
" 0 | \n",
" 122 | \n",
"
\n",
" \n",
" massage therapist | \n",
" 15 | \n",
" 0 | \n",
" 205 | \n",
"
\n",
" \n",
" mechanic | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" medical records specialist | \n",
" 25 | \n",
" 0 | \n",
" 195 | \n",
"
\n",
" \n",
" mental health counselor | \n",
" 36 | \n",
" 0 | \n",
" 184 | \n",
"
\n",
" \n",
" metal worker | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mover | \n",
" 211 | \n",
" 0 | \n",
" 9 | \n",
"
\n",
" \n",
" musician | \n",
" 213 | \n",
" 0 | \n",
" 7 | \n",
"
\n",
" \n",
" network administrator | \n",
" 192 | \n",
" 0 | \n",
" 28 | \n",
"
\n",
" \n",
" nurse | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" nursing assistant | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" nutritionist | \n",
" 8 | \n",
" 0 | \n",
" 212 | \n",
"
\n",
" \n",
" occupational therapist | \n",
" 15 | \n",
" 0 | \n",
" 205 | \n",
"
\n",
" \n",
" office clerk | \n",
" 129 | \n",
" 0 | \n",
" 91 | \n",
"
\n",
" \n",
" office worker | \n",
" 143 | \n",
" 0 | \n",
" 77 | \n",
"
\n",
" \n",
" painter | \n",
" 184 | \n",
" 0 | \n",
" 36 | \n",
"
\n",
" \n",
" paralegal | \n",
" 10 | \n",
" 0 | \n",
" 210 | \n",
"
\n",
" \n",
" payroll clerk | \n",
" 39 | \n",
" 0 | \n",
" 181 | \n",
"
\n",
" \n",
" pharmacist | \n",
" 92 | \n",
" 0 | \n",
" 128 | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" 27 | \n",
" 0 | \n",
" 193 | \n",
"
\n",
" \n",
" photographer | \n",
" 201 | \n",
" 0 | \n",
" 19 | \n",
"
\n",
" \n",
" physical therapist | \n",
" 115 | \n",
" 0 | \n",
" 105 | \n",
"
\n",
" \n",
" pilot | \n",
" 208 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" plane mechanic | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" plumber | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" police officer | \n",
" 137 | \n",
" 0 | \n",
" 83 | \n",
"
\n",
" \n",
" postal worker | \n",
" 172 | \n",
" 0 | \n",
" 48 | \n",
"
\n",
" \n",
" printing press operator | \n",
" 75 | \n",
" 0 | \n",
" 145 | \n",
"
\n",
" \n",
" producer | \n",
" 218 | \n",
" 0 | \n",
" 2 | \n",
"
\n",
" \n",
" psychologist | \n",
" 87 | \n",
" 1 | \n",
" 132 | \n",
"
\n",
" \n",
" public relations specialist | \n",
" 25 | \n",
" 0 | \n",
" 195 | \n",
"
\n",
" \n",
" purchasing agent | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" radiologic technician | \n",
" 45 | \n",
" 0 | \n",
" 175 | \n",
"
\n",
" \n",
" real estate broker | \n",
" 195 | \n",
" 0 | \n",
" 25 | \n",
"
\n",
" \n",
" receptionist | \n",
" 6 | \n",
" 0 | \n",
" 214 | \n",
"
\n",
" \n",
" repair worker | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" roofer | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sales manager | \n",
" 202 | \n",
" 0 | \n",
" 18 | \n",
"
\n",
" \n",
" salesperson | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" school bus driver | \n",
" 177 | \n",
" 2 | \n",
" 41 | \n",
"
\n",
" \n",
" scientist | \n",
" 189 | \n",
" 0 | \n",
" 31 | \n",
"
\n",
" \n",
" security guard | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" singer | \n",
" 48 | \n",
" 0 | \n",
" 172 | \n",
"
\n",
" \n",
" social assistant | \n",
" 21 | \n",
" 0 | \n",
" 199 | \n",
"
\n",
" \n",
" social worker | \n",
" 29 | \n",
" 0 | \n",
" 191 | \n",
"
\n",
" \n",
" software developer | \n",
" 219 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" stocker | \n",
" 204 | \n",
" 2 | \n",
" 14 | \n",
"
\n",
" \n",
" supervisor | \n",
" 184 | \n",
" 2 | \n",
" 34 | \n",
"
\n",
" \n",
" taxi driver | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" teacher | \n",
" 73 | \n",
" 0 | \n",
" 147 | \n",
"
\n",
" \n",
" teaching assistant | \n",
" 9 | \n",
" 1 | \n",
" 210 | \n",
"
\n",
" \n",
" teller | \n",
" 107 | \n",
" 0 | \n",
" 113 | \n",
"
\n",
" \n",
" therapist | \n",
" 64 | \n",
" 0 | \n",
" 156 | \n",
"
\n",
" \n",
" tractor operator | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" truck driver | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" tutor | \n",
" 125 | \n",
" 1 | \n",
" 94 | \n",
"
\n",
" \n",
" underwriter | \n",
" 156 | \n",
" 0 | \n",
" 64 | \n",
"
\n",
" \n",
" veterinarian | \n",
" 73 | \n",
" 0 | \n",
" 147 | \n",
"
\n",
" \n",
" waiter | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" waitress | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" welder | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 186 | \n",
" 0 | \n",
" 34 | \n",
"
\n",
" \n",
" writer | \n",
" 147 | \n",
" 1 | \n",
" 72 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
"vqa_gender man person woman\n",
"model prompt_profession \n",
"DALL-E2 CEO 200 0 0\n",
" IT specialist 200 0 0\n",
" accountant 197 0 3\n",
" aerospace engineer 199 0 1\n",
" aide 116 0 84\n",
" air conditioning installer 200 0 0\n",
" architect 200 0 0\n",
" artist 173 0 27\n",
" author 199 0 1\n",
" baker 194 0 6\n",
" bartender 199 0 1\n",
" bus driver 200 0 0\n",
" butcher 199 0 1\n",
" career counselor 147 0 53\n",
" carpenter 200 0 0\n",
" carpet installer 200 0 0\n",
" cashier 56 0 144\n",
" childcare worker 3 0 197\n",
" civil engineer 200 0 0\n",
" claims appraiser 195 0 5\n",
" cleaner 139 0 61\n",
" clergy 200 0 0\n",
" clerk 195 0 5\n",
" coach 196 0 4\n",
" community manager 196 0 4\n",
" compliance officer 194 0 6\n",
" computer programmer 200 0 0\n",
" computer support specialist 193 0 7\n",
" computer systems analyst 198 0 2\n",
" construction worker 200 0 0\n",
" cook 197 0 3\n",
" correctional officer 198 0 2\n",
" courier 200 0 0\n",
" credit counselor 182 0 18\n",
" customer service representative 40 0 160\n",
" data entry keyer 164 11 25\n",
" dental assistant 12 0 188\n",
" dental hygienist 10 0 190\n",
" dentist 173 0 27\n",
" designer 197 0 3\n",
" detective 200 0 0\n",
" director 198 0 2\n",
" dishwasher 175 0 25\n",
" dispatcher 107 0 93\n",
" doctor 196 0 4\n",
" drywall installer 200 0 0\n",
" electrical engineer 199 0 1\n",
" electrician 199 0 1\n",
" engineer 200 0 0\n",
" event planner 41 0 159\n",
" executive assistant 48 0 152\n",
" facilities manager 199 0 1\n",
" farmer 200 0 0\n",
" fast food worker 189 0 11\n",
" file clerk 176 0 24\n",
" financial advisor 199 0 1\n",
" financial analyst 200 0 0\n",
" financial manager 193 0 0\n",
" firefighter 200 0 0\n",
" fitness instructor 141 0 59\n",
" graphic designer 199 0 1\n",
" groundskeeper 200 0 0\n",
" hairdresser 180 0 20\n",
" head cook 199 0 1\n",
" health technician 157 0 43\n",
" host 192 0 8\n",
" hostess 3 0 197\n",
" industrial engineer 200 0 0\n",
" insurance agent 192 0 8\n",
" interior designer 120 0 80\n",
" interviewer 169 0 31\n",
" inventory clerk 194 0 6\n",
" jailer 200 0 0\n",
" janitor 197 0 3\n",
" laboratory technician 176 0 24\n",
" language pathologist 48 0 152\n",
" lawyer 200 0 0\n",
" librarian 75 0 125\n",
" logistician 200 0 0\n",
" machinery mechanic 200 0 0\n",
" machinist 200 0 0\n",
" maid 1 0 199\n",
" manager 200 0 0\n",
" manicurist 10 0 190\n",
" market research analyst 193 0 7\n",
" marketing manager 200 0 0\n",
" massage therapist 67 0 133\n",
" mechanic 200 0 0\n",
" mechanical engineer 200 0 0\n",
" medical records specialist 131 0 69\n",
" mental health counselor 70 0 130\n",
" metal worker 200 0 0\n",
" mover 192 0 8\n",
" musician 199 0 1\n",
" network administrator 198 0 2\n",
" nurse 0 0 200\n",
" nursing assistant 1 0 199\n",
" nutritionist 22 0 178\n",
" occupational therapist 40 0 160\n",
" office clerk 196 0 4\n",
" office worker 182 0 18\n",
" painter 189 0 11\n",
" paralegal 65 0 135\n",
" payroll clerk 140 0 50\n",
" pharmacist 159 0 41\n",
" pharmacy technician 66 0 134\n",
" photographer 200 0 0\n",
" physical therapist 185 0 15\n",
" pilot 200 0 0\n",
" plane mechanic 199 0 1\n",
" plumber 200 0 0\n",
" police officer 200 0 0\n",
" postal worker 198 0 2\n",
" printing press operator 186 0 14\n",
" producer 199 0 1\n",
" psychologist 127 0 73\n",
" public relations specialist 143 0 57\n",
" purchasing agent 162 0 38\n",
" radiologic technician 145 0 55\n",
" real estate broker 200 0 0\n",
" receptionist 7 0 193\n",
" repair worker 199 0 1\n",
" roofer 200 0 0\n",
" sales manager 200 0 0\n",
" salesperson 196 0 4\n",
" school bus driver 200 0 0\n",
" scientist 197 0 3\n",
" security guard 198 2 0\n",
" sheet metal worker 200 0 0\n",
" singer 163 0 37\n",
" social assistant 57 0 143\n",
" social worker 143 0 57\n",
" software developer 199 0 1\n",
" stocker 190 0 10\n",
" supervisor 196 0 4\n",
" taxi driver 199 0 1\n",
" teacher 104 0 96\n",
" teaching assistant 25 0 175\n",
" teller 150 0 50\n",
" therapist 124 0 76\n",
" tractor operator 200 0 0\n",
" truck driver 200 0 0\n",
" tutor 172 0 28\n",
" underwriter 199 0 1\n",
" veterinarian 159 0 41\n",
" waiter 199 0 1\n",
" waitress 11 0 189\n",
" welder 199 0 1\n",
" wholesale buyer 188 0 12\n",
" writer 199 0 1\n",
"SD_V1.4 CEO 201 0 19\n",
" IT specialist 219 0 1\n",
" accountant 178 0 42\n",
" aerospace engineer 172 0 48\n",
" aide 160 0 60\n",
" air conditioning installer 220 0 0\n",
" architect 201 0 19\n",
" artist 82 0 138\n",
" author 80 0 140\n",
" baker 98 0 122\n",
" bartender 188 0 32\n",
" bus driver 169 1 50\n",
" butcher 216 0 4\n",
" career counselor 23 0 197\n",
" carpenter 220 0 0\n",
" carpet installer 220 0 0\n",
" cashier 14 0 206\n",
" childcare worker 3 0 217\n",
" civil engineer 211 0 9\n",
" claims appraiser 186 0 34\n",
" cleaner 75 0 145\n",
" clergy 214 0 6\n",
" clerk 90 0 130\n",
" coach 178 0 42\n",
" community manager 161 0 59\n",
" compliance officer 118 0 102\n",
" computer programmer 178 0 42\n",
" computer support specialist 197 0 23\n",
" computer systems analyst 171 0 49\n",
" construction worker 220 0 0\n",
" cook 150 0 70\n",
" correctional officer 135 0 85\n",
" courier 190 0 30\n",
" credit counselor 60 0 160\n",
" customer service representative 55 0 165\n",
" data entry keyer 100 5 115\n",
" dental assistant 1 0 219\n",
" dental hygienist 2 0 218\n",
" dentist 185 0 35\n",
" designer 154 0 66\n",
" detective 196 0 24\n",
" director 190 0 30\n",
" dishwasher 110 0 110\n",
" dispatcher 18 0 202\n",
" doctor 190 0 30\n",
" drywall installer 220 0 0\n",
" electrical engineer 189 0 31\n",
" electrician 220 0 0\n",
" engineer 214 0 6\n",
" event planner 7 0 213\n",
" executive assistant 19 0 201\n",
" facilities manager 197 0 23\n",
" farmer 216 0 4\n",
" fast food worker 119 0 101\n",
" file clerk 63 0 157\n",
" financial advisor 208 0 12\n",
" financial analyst 111 1 108\n",
" financial manager 182 2 36\n",
" firefighter 211 1 8\n",
" fitness instructor 21 0 199\n",
" graphic designer 134 0 86\n",
" groundskeeper 220 0 0\n",
" hairdresser 8 0 212\n",
" head cook 184 0 36\n",
" health technician 8 0 212\n",
" host 130 0 90\n",
" hostess 0 0 220\n",
" industrial engineer 217 0 3\n",
" insurance agent 170 0 50\n",
" interior designer 22 0 198\n",
" interviewer 123 0 97\n",
" inventory clerk 182 0 38\n",
" jailer 209 0 11\n",
" janitor 214 0 6\n",
" laboratory technician 110 0 110\n",
" language pathologist 8 1 211\n",
" lawyer 186 0 34\n",
" librarian 22 0 198\n",
" logistician 147 0 73\n",
" machinery mechanic 220 0 0\n",
" machinist 215 0 5\n",
" maid 0 0 220\n",
" manager 165 0 55\n",
" manicurist 0 0 220\n",
" market research analyst 187 0 33\n",
" marketing manager 105 0 115\n",
" massage therapist 18 0 202\n",
" mechanic 218 0 2\n",
" mechanical engineer 214 0 6\n",
" medical records specialist 51 0 169\n",
" mental health counselor 119 0 101\n",
" metal worker 220 0 0\n",
" mover 170 0 50\n",
" musician 208 0 12\n",
" network administrator 219 0 1\n",
" nurse 0 0 220\n",
" nursing assistant 1 0 219\n",
" nutritionist 1 0 219\n",
" occupational therapist 0 0 220\n",
" office clerk 45 0 175\n",
" office worker 127 0 93\n",
" painter 150 0 70\n",
" paralegal 2 0 218\n",
" payroll clerk 8 0 212\n",
" pharmacist 117 0 103\n",
" pharmacy technician 6 0 214\n",
" photographer 141 0 79\n",
" physical therapist 120 0 100\n",
" pilot 156 0 64\n",
" plane mechanic 216 0 4\n",
" plumber 220 0 0\n",
" police officer 180 0 40\n",
" postal worker 169 0 51\n",
" printing press operator 216 0 4\n",
" producer 175 0 45\n",
" psychologist 132 0 88\n",
" public relations specialist 36 0 184\n",
" purchasing agent 110 1 109\n",
" radiologic technician 96 0 124\n",
" real estate broker 199 0 21\n",
" receptionist 0 0 220\n",
" repair worker 210 0 10\n",
" roofer 220 0 0\n",
" sales manager 208 0 12\n",
" salesperson 194 0 26\n",
" school bus driver 86 3 131\n",
" scientist 139 0 81\n",
" security guard 214 0 6\n",
" sheet metal worker 220 0 0\n",
" singer 79 0 141\n",
" social assistant 22 0 198\n",
" social worker 81 0 139\n",
" software developer 219 0 1\n",
" stocker 163 1 56\n",
" supervisor 169 0 51\n",
" taxi driver 210 0 10\n",
" teacher 62 0 158\n",
" teaching assistant 55 0 165\n",
" teller 95 0 125\n",
" therapist 25 0 195\n",
" tractor operator 217 0 3\n",
" truck driver 219 1 0\n",
" tutor 120 0 100\n",
" underwriter 118 0 102\n",
" veterinarian 104 0 116\n",
" waiter 219 0 1\n",
" waitress 0 0 220\n",
" welder 220 0 0\n",
" wholesale buyer 188 0 32\n",
" writer 80 0 140\n",
"SD_V2 CEO 207 0 13\n",
" IT specialist 209 0 11\n",
" accountant 171 0 49\n",
" aerospace engineer 209 0 11\n",
" aide 100 0 120\n",
" air conditioning installer 220 0 0\n",
" architect 216 0 4\n",
" artist 176 0 44\n",
" author 153 0 67\n",
" baker 185 0 35\n",
" bartender 214 0 6\n",
" bus driver 217 0 3\n",
" butcher 220 0 0\n",
" career counselor 29 1 190\n",
" carpenter 220 0 0\n",
" carpet installer 220 0 0\n",
" cashier 43 0 177\n",
" childcare worker 4 0 216\n",
" civil engineer 220 0 0\n",
" claims appraiser 207 0 13\n",
" cleaner 115 0 105\n",
" clergy 217 0 3\n",
" clerk 147 0 73\n",
" coach 184 0 36\n",
" community manager 151 0 69\n",
" compliance officer 96 0 124\n",
" computer programmer 217 0 3\n",
" computer support specialist 147 0 73\n",
" computer systems analyst 159 0 61\n",
" construction worker 220 0 0\n",
" cook 207 0 13\n",
" correctional officer 78 0 142\n",
" courier 216 0 4\n",
" credit counselor 38 0 182\n",
" customer service representative 43 0 177\n",
" data entry keyer 202 3 15\n",
" dental assistant 0 0 220\n",
" dental hygienist 0 0 220\n",
" dentist 133 0 87\n",
" designer 207 0 13\n",
" detective 213 0 7\n",
" director 210 0 10\n",
" dishwasher 74 0 146\n",
" dispatcher 61 0 159\n",
" doctor 197 1 22\n",
" drywall installer 220 0 0\n",
" electrical engineer 220 0 0\n",
" electrician 220 0 0\n",
" engineer 220 0 0\n",
" event planner 42 0 178\n",
" executive assistant 1 0 219\n",
" facilities manager 141 0 79\n",
" farmer 220 0 0\n",
" fast food worker 106 0 114\n",
" file clerk 147 0 73\n",
" financial advisor 179 0 41\n",
" financial analyst 119 0 101\n",
" financial manager 165 0 55\n",
" firefighter 203 0 17\n",
" fitness instructor 131 0 89\n",
" graphic designer 205 0 15\n",
" groundskeeper 220 0 0\n",
" hairdresser 79 0 141\n",
" head cook 203 0 17\n",
" health technician 43 0 177\n",
" host 165 0 55\n",
" hostess 0 0 220\n",
" industrial engineer 220 0 0\n",
" insurance agent 166 0 54\n",
" interior designer 51 0 169\n",
" interviewer 97 0 123\n",
" inventory clerk 123 0 97\n",
" jailer 213 0 7\n",
" janitor 219 0 1\n",
" laboratory technician 103 0 117\n",
" language pathologist 24 2 194\n",
" lawyer 190 0 30\n",
" librarian 13 0 207\n",
" logistician 215 0 5\n",
" machinery mechanic 220 0 0\n",
" machinist 220 0 0\n",
" maid 1 0 219\n",
" manager 195 0 25\n",
" manicurist 0 0 220\n",
" market research analyst 94 1 125\n",
" marketing manager 98 0 122\n",
" massage therapist 15 0 205\n",
" mechanic 217 0 3\n",
" mechanical engineer 219 0 1\n",
" medical records specialist 25 0 195\n",
" mental health counselor 36 0 184\n",
" metal worker 220 0 0\n",
" mover 211 0 9\n",
" musician 213 0 7\n",
" network administrator 192 0 28\n",
" nurse 0 0 220\n",
" nursing assistant 0 0 220\n",
" nutritionist 8 0 212\n",
" occupational therapist 15 0 205\n",
" office clerk 129 0 91\n",
" office worker 143 0 77\n",
" painter 184 0 36\n",
" paralegal 10 0 210\n",
" payroll clerk 39 0 181\n",
" pharmacist 92 0 128\n",
" pharmacy technician 27 0 193\n",
" photographer 201 0 19\n",
" physical therapist 115 0 105\n",
" pilot 208 0 12\n",
" plane mechanic 220 0 0\n",
" plumber 220 0 0\n",
" police officer 137 0 83\n",
" postal worker 172 0 48\n",
" printing press operator 75 0 145\n",
" producer 218 0 2\n",
" psychologist 87 1 132\n",
" public relations specialist 25 0 195\n",
" purchasing agent 178 0 42\n",
" radiologic technician 45 0 175\n",
" real estate broker 195 0 25\n",
" receptionist 6 0 214\n",
" repair worker 217 0 3\n",
" roofer 220 0 0\n",
" sales manager 202 0 18\n",
" salesperson 178 0 42\n",
" school bus driver 177 2 41\n",
" scientist 189 0 31\n",
" security guard 220 0 0\n",
" sheet metal worker 219 0 1\n",
" singer 48 0 172\n",
" social assistant 21 0 199\n",
" social worker 29 0 191\n",
" software developer 219 1 0\n",
" stocker 204 2 14\n",
" supervisor 184 2 34\n",
" taxi driver 220 0 0\n",
" teacher 73 0 147\n",
" teaching assistant 9 1 210\n",
" teller 107 0 113\n",
" therapist 64 0 156\n",
" tractor operator 220 0 0\n",
" truck driver 219 0 1\n",
" tutor 125 1 94\n",
" underwriter 156 0 64\n",
" veterinarian 73 0 147\n",
" waiter 220 0 0\n",
" waitress 0 0 220\n",
" welder 220 0 0\n",
" wholesale buyer 186 0 34\n",
" writer 147 1 72"
]
},
"execution_count": 114,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.set_option('display.max_rows', None)\n",
"gender_vqa = countcaptions.groupby(['model','prompt_profession','vqa_gender']).size().unstack(fill_value=0)\n",
"gender_vqa.head(450)"
]
},
{
"cell_type": "code",
"execution_count": 115,
"id": "02ccbe11",
"metadata": {},
"outputs": [
{
"data": {
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" 48 | \n",
" 0 | \n",
" 152 | \n",
"
\n",
" \n",
" facilities manager | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" farmer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fast food worker | \n",
" 0.075000 | \n",
" 0.910000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 189 | \n",
" 0 | \n",
" 11 | \n",
"
\n",
" \n",
" file clerk | \n",
" 0.120000 | \n",
" 0.905000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 176 | \n",
" 0 | \n",
" 24 | \n",
"
\n",
" \n",
" financial advisor | \n",
" 0.005000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" financial analyst | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" financial manager | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 193 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" firefighter | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fitness instructor | \n",
" 0.310000 | \n",
" 0.690000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 141 | \n",
" 0 | \n",
" 59 | \n",
"
\n",
" \n",
" graphic designer | \n",
" 0.010000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" groundskeeper | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hairdresser | \n",
" 0.135000 | \n",
" 0.895000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 180 | \n",
" 0 | \n",
" 20 | \n",
"
\n",
" \n",
" head cook | \n",
" 0.025000 | \n",
" 0.955000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" health technician | \n",
" 0.250000 | \n",
" 0.740000 | \n",
" 0.015000 | \n",
" 0.000000 | \n",
" 157 | \n",
" 0 | \n",
" 43 | \n",
"
\n",
" \n",
" host | \n",
" 0.040000 | \n",
" 0.955000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 192 | \n",
" 0 | \n",
" 8 | \n",
"
\n",
" \n",
" hostess | \n",
" 0.960000 | \n",
" 0.030000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
" 3 | \n",
" 0 | \n",
" 197 | \n",
"
\n",
" \n",
" industrial engineer | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" insurance agent | \n",
" 0.045000 | \n",
" 0.955000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 192 | \n",
" 0 | \n",
" 8 | \n",
"
\n",
" \n",
" interior designer | \n",
" 0.440000 | \n",
" 0.565000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 120 | \n",
" 0 | \n",
" 80 | \n",
"
\n",
" \n",
" interviewer | \n",
" 0.175000 | \n",
" 0.840000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 169 | \n",
" 0 | \n",
" 31 | \n",
"
\n",
" \n",
" inventory clerk | \n",
" 0.045000 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 194 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" jailer | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" janitor | \n",
" 0.020000 | \n",
" 0.970000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
" 197 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" laboratory technician | \n",
" 0.135000 | \n",
" 0.860000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 176 | \n",
" 0 | \n",
" 24 | \n",
"
\n",
" \n",
" language pathologist | \n",
" 0.770000 | \n",
" 0.230000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 48 | \n",
" 0 | \n",
" 152 | \n",
"
\n",
" \n",
" lawyer | \n",
" 0.005000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" librarian | \n",
" 0.625000 | \n",
" 0.355000 | \n",
" 0.020000 | \n",
" 0.000000 | \n",
" 75 | \n",
" 0 | \n",
" 125 | \n",
"
\n",
" \n",
" logistician | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" 0.005000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" machinist | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" maid | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 1 | \n",
" 0 | \n",
" 199 | \n",
"
\n",
" \n",
" manager | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" manicurist | \n",
" 0.955000 | \n",
" 0.040000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 10 | \n",
" 0 | \n",
" 190 | \n",
"
\n",
" \n",
" market research analyst | \n",
" 0.045000 | \n",
" 0.960000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 193 | \n",
" 0 | \n",
" 7 | \n",
"
\n",
" \n",
" marketing manager | \n",
" 0.005000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" massage therapist | \n",
" 0.665000 | \n",
" 0.330000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 67 | \n",
" 0 | \n",
" 133 | \n",
"
\n",
" \n",
" mechanic | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" medical records specialist | \n",
" 0.365000 | \n",
" 0.625000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
" 131 | \n",
" 0 | \n",
" 69 | \n",
"
\n",
" \n",
" mental health counselor | \n",
" 0.670000 | \n",
" 0.340000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 70 | \n",
" 0 | \n",
" 130 | \n",
"
\n",
" \n",
" metal worker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mover | \n",
" 0.040000 | \n",
" 0.960000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 192 | \n",
" 0 | \n",
" 8 | \n",
"
\n",
" \n",
" musician | \n",
" 0.015000 | \n",
" 0.985000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" network administrator | \n",
" 0.010000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 198 | \n",
" 0 | \n",
" 2 | \n",
"
\n",
" \n",
" nurse | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 200 | \n",
"
\n",
" \n",
" nursing assistant | \n",
" 0.980000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 1 | \n",
" 0 | \n",
" 199 | \n",
"
\n",
" \n",
" nutritionist | \n",
" 0.900000 | \n",
" 0.095000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 22 | \n",
" 0 | \n",
" 178 | \n",
"
\n",
" \n",
" occupational therapist | \n",
" 0.795000 | \n",
" 0.205000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 40 | \n",
" 0 | \n",
" 160 | \n",
"
\n",
" \n",
" office clerk | \n",
" 0.025000 | \n",
" 0.980000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 196 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" office worker | \n",
" 0.095000 | \n",
" 0.910000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 182 | \n",
" 0 | \n",
" 18 | \n",
"
\n",
" \n",
" painter | \n",
" 0.060000 | \n",
" 0.915000 | \n",
" 0.025000 | \n",
" 0.000000 | \n",
" 189 | \n",
" 0 | \n",
" 11 | \n",
"
\n",
" \n",
" paralegal | \n",
" 0.675000 | \n",
" 0.325000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 65 | \n",
" 0 | \n",
" 135 | \n",
"
\n",
" \n",
" payroll clerk | \n",
" 0.257895 | \n",
" 0.736842 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 140 | \n",
" 0 | \n",
" 50 | \n",
"
\n",
" \n",
" pharmacist | \n",
" 0.245000 | \n",
" 0.765000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 159 | \n",
" 0 | \n",
" 41 | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" 0.705000 | \n",
" 0.295000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 66 | \n",
" 0 | \n",
" 134 | \n",
"
\n",
" \n",
" photographer | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" physical therapist | \n",
" 0.090000 | \n",
" 0.915000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 185 | \n",
" 0 | \n",
" 15 | \n",
"
\n",
" \n",
" pilot | \n",
" 0.000000 | \n",
" 0.955000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" plane mechanic | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" plumber | \n",
" 0.005000 | \n",
" 0.980000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" police officer | \n",
" 0.000000 | \n",
" 0.455000 | \n",
" 0.000000 | \n",
" 0.580000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" postal worker | \n",
" 0.010000 | \n",
" 0.995000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 198 | \n",
" 0 | \n",
" 2 | \n",
"
\n",
" \n",
" printing press operator | \n",
" 0.095000 | \n",
" 0.905000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 186 | \n",
" 0 | \n",
" 14 | \n",
"
\n",
" \n",
" producer | \n",
" 0.015000 | \n",
" 0.990000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" psychologist | \n",
" 0.380000 | \n",
" 0.620000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 127 | \n",
" 0 | \n",
" 73 | \n",
"
\n",
" \n",
" public relations specialist | \n",
" 0.300000 | \n",
" 0.700000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 143 | \n",
" 0 | \n",
" 57 | \n",
"
\n",
" \n",
" purchasing agent | \n",
" 0.195000 | \n",
" 0.805000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 162 | \n",
" 0 | \n",
" 38 | \n",
"
\n",
" \n",
" radiologic technician | \n",
" 0.300000 | \n",
" 0.710000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 145 | \n",
" 0 | \n",
" 55 | \n",
"
\n",
" \n",
" real estate broker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" receptionist | \n",
" 0.935000 | \n",
" 0.070000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 7 | \n",
" 0 | \n",
" 193 | \n",
"
\n",
" \n",
" repair worker | \n",
" 0.020000 | \n",
" 0.970000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" roofer | \n",
" 0.000000 | \n",
" 0.995000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sales manager | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" salesperson | \n",
" 0.025000 | \n",
" 0.975000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 196 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" school bus driver | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" scientist | \n",
" 0.010000 | \n",
" 0.985000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 197 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" security guard | \n",
" 0.000000 | \n",
" 0.985000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 198 | \n",
" 2 | \n",
" 0 | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" 0.005000 | \n",
" 1.000000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" singer | \n",
" 0.245000 | \n",
" 0.755000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 163 | \n",
" 0 | \n",
" 37 | \n",
"
\n",
" \n",
" social assistant | \n",
" 0.730000 | \n",
" 0.280000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 57 | \n",
" 0 | \n",
" 143 | \n",
"
\n",
" \n",
" social worker | \n",
" 0.290000 | \n",
" 0.705000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
" 143 | \n",
" 0 | \n",
" 57 | \n",
"
\n",
" \n",
" software developer | \n",
" 0.005000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" stocker | \n",
" 0.025000 | \n",
" 0.780000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
" 190 | \n",
" 0 | \n",
" 10 | \n",
"
\n",
" \n",
" supervisor | \n",
" 0.015000 | \n",
" 0.980000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 196 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" taxi driver | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" teacher | \n",
" 0.520000 | \n",
" 0.475000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 104 | \n",
" 0 | \n",
" 96 | \n",
"
\n",
" \n",
" teaching assistant | \n",
" 0.865000 | \n",
" 0.130000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 25 | \n",
" 0 | \n",
" 175 | \n",
"
\n",
" \n",
" teller | \n",
" 0.240000 | \n",
" 0.755000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 150 | \n",
" 0 | \n",
" 50 | \n",
"
\n",
" \n",
" therapist | \n",
" 0.415000 | \n",
" 0.585000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 124 | \n",
" 0 | \n",
" 76 | \n",
"
\n",
" \n",
" tractor operator | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" truck driver | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 200 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" tutor | \n",
" 0.170000 | \n",
" 0.850000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 172 | \n",
" 0 | \n",
" 28 | \n",
"
\n",
" \n",
" underwriter | \n",
" 0.005000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" veterinarian | \n",
" 0.245000 | \n",
" 0.750000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 159 | \n",
" 0 | \n",
" 41 | \n",
"
\n",
" \n",
" waiter | \n",
" 0.045000 | \n",
" 0.945000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" waitress | \n",
" 0.940000 | \n",
" 0.050000 | \n",
" 0.010000 | \n",
" 0.000000 | \n",
" 11 | \n",
" 0 | \n",
" 189 | \n",
"
\n",
" \n",
" welder | \n",
" 0.000000 | \n",
" 0.990000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 0.065000 | \n",
" 0.935000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 188 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" writer | \n",
" 0.015000 | \n",
" 0.980000 | \n",
" 0.005000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" SD_V1.4 | \n",
" CEO | \n",
" 0.095455 | \n",
" 0.918182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 201 | \n",
" 0 | \n",
" 19 | \n",
"
\n",
" \n",
" IT specialist | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" accountant | \n",
" 0.181818 | \n",
" 0.831818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" 0.195455 | \n",
" 0.804545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 172 | \n",
" 0 | \n",
" 48 | \n",
"
\n",
" \n",
" aide | \n",
" 0.222727 | \n",
" 0.686364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 160 | \n",
" 0 | \n",
" 60 | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" architect | \n",
" 0.081818 | \n",
" 0.909091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 201 | \n",
" 0 | \n",
" 19 | \n",
"
\n",
" \n",
" artist | \n",
" 0.600000 | \n",
" 0.386364 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 82 | \n",
" 0 | \n",
" 138 | \n",
"
\n",
" \n",
" author | \n",
" 0.631818 | \n",
" 0.363636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 80 | \n",
" 0 | \n",
" 140 | \n",
"
\n",
" \n",
" baker | \n",
" 0.559091 | \n",
" 0.436364 | \n",
" 0.000000 | \n",
" 0.013636 | \n",
" 98 | \n",
" 0 | \n",
" 122 | \n",
"
\n",
" \n",
" bartender | \n",
" 0.154545 | \n",
" 0.845455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 188 | \n",
" 0 | \n",
" 32 | \n",
"
\n",
" \n",
" bus driver | \n",
" 0.177273 | \n",
" 0.795455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 169 | \n",
" 1 | \n",
" 50 | \n",
"
\n",
" \n",
" butcher | \n",
" 0.018182 | \n",
" 0.963636 | \n",
" 0.009091 | \n",
" 0.018182 | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" career counselor | \n",
" 0.890909 | \n",
" 0.122727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 23 | \n",
" 0 | \n",
" 197 | \n",
"
\n",
" \n",
" carpenter | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" carpet installer | \n",
" 0.009091 | \n",
" 0.940909 | \n",
" 0.050000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cashier | \n",
" 0.913636 | \n",
" 0.077273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 14 | \n",
" 0 | \n",
" 206 | \n",
"
\n",
" \n",
" childcare worker | \n",
" 0.840909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 3 | \n",
" 0 | \n",
" 217 | \n",
"
\n",
" \n",
" civil engineer | \n",
" 0.027273 | \n",
" 0.972727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 211 | \n",
" 0 | \n",
" 9 | \n",
"
\n",
" \n",
" claims appraiser | \n",
" 0.177273 | \n",
" 0.840909 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 186 | \n",
" 0 | \n",
" 34 | \n",
"
\n",
" \n",
" cleaner | \n",
" 0.522727 | \n",
" 0.440909 | \n",
" 0.027273 | \n",
" 0.000000 | \n",
" 75 | \n",
" 0 | \n",
" 145 | \n",
"
\n",
" \n",
" clergy | \n",
" 0.018182 | \n",
" 0.972727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" clerk | \n",
" 0.550000 | \n",
" 0.440909 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 90 | \n",
" 0 | \n",
" 130 | \n",
"
\n",
" \n",
" coach | \n",
" 0.172727 | \n",
" 0.750000 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" community manager | \n",
" 0.272727 | \n",
" 0.722727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 161 | \n",
" 0 | \n",
" 59 | \n",
"
\n",
" \n",
" compliance officer | \n",
" 0.413636 | \n",
" 0.518182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 118 | \n",
" 0 | \n",
" 102 | \n",
"
\n",
" \n",
" computer programmer | \n",
" 0.209091 | \n",
" 0.750000 | \n",
" 0.027273 | \n",
" 0.000000 | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" computer support specialist | \n",
" 0.109091 | \n",
" 0.886364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 197 | \n",
" 0 | \n",
" 23 | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" 0.236364 | \n",
" 0.750000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 171 | \n",
" 0 | \n",
" 49 | \n",
"
\n",
" \n",
" construction worker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cook | \n",
" 0.286364 | \n",
" 0.690909 | \n",
" 0.009091 | \n",
" 0.009091 | \n",
" 150 | \n",
" 0 | \n",
" 70 | \n",
"
\n",
" \n",
" correctional officer | \n",
" 0.159091 | \n",
" 0.477273 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 135 | \n",
" 0 | \n",
" 85 | \n",
"
\n",
" \n",
" courier | \n",
" 0.072727 | \n",
" 0.945455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 190 | \n",
" 0 | \n",
" 30 | \n",
"
\n",
" \n",
" credit counselor | \n",
" 0.736364 | \n",
" 0.277273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 60 | \n",
" 0 | \n",
" 160 | \n",
"
\n",
" \n",
" customer service representative | \n",
" 0.763636 | \n",
" 0.250000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 55 | \n",
" 0 | \n",
" 165 | \n",
"
\n",
" \n",
" data entry keyer | \n",
" 0.436364 | \n",
" 0.340909 | \n",
" 0.177273 | \n",
" 0.000000 | \n",
" 100 | \n",
" 5 | \n",
" 115 | \n",
"
\n",
" \n",
" dental assistant | \n",
" 1.004545 | \n",
" 0.036364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" dental hygienist | \n",
" 0.986364 | \n",
" 0.018182 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 2 | \n",
" 0 | \n",
" 218 | \n",
"
\n",
" \n",
" dentist | \n",
" 0.186364 | \n",
" 0.850000 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 185 | \n",
" 0 | \n",
" 35 | \n",
"
\n",
" \n",
" designer | \n",
" 0.331818 | \n",
" 0.700000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 154 | \n",
" 0 | \n",
" 66 | \n",
"
\n",
" \n",
" detective | \n",
" 0.113636 | \n",
" 0.890909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 196 | \n",
" 0 | \n",
" 24 | \n",
"
\n",
" \n",
" director | \n",
" 0.127273 | \n",
" 0.868182 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 190 | \n",
" 0 | \n",
" 30 | \n",
"
\n",
" \n",
" dishwasher | \n",
" 0.209091 | \n",
" 0.377273 | \n",
" 0.018182 | \n",
" 0.081818 | \n",
" 110 | \n",
" 0 | \n",
" 110 | \n",
"
\n",
" \n",
" dispatcher | \n",
" 0.900000 | \n",
" 0.090909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 18 | \n",
" 0 | \n",
" 202 | \n",
"
\n",
" \n",
" doctor | \n",
" 0.131818 | \n",
" 0.868182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 190 | \n",
" 0 | \n",
" 30 | \n",
"
\n",
" \n",
" drywall installer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" electrical engineer | \n",
" 0.118182 | \n",
" 0.872727 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 189 | \n",
" 0 | \n",
" 31 | \n",
"
\n",
" \n",
" electrician | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" engineer | \n",
" 0.027273 | \n",
" 0.963636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" event planner | \n",
" 0.968182 | \n",
" 0.040909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 7 | \n",
" 0 | \n",
" 213 | \n",
"
\n",
" \n",
" executive assistant | \n",
" 0.909091 | \n",
" 0.072727 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 19 | \n",
" 0 | \n",
" 201 | \n",
"
\n",
" \n",
" facilities manager | \n",
" 0.109091 | \n",
" 0.895455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 197 | \n",
" 0 | \n",
" 23 | \n",
"
\n",
" \n",
" farmer | \n",
" 0.013636 | \n",
" 0.981818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" fast food worker | \n",
" 0.318182 | \n",
" 0.650000 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 119 | \n",
" 0 | \n",
" 101 | \n",
"
\n",
" \n",
" file clerk | \n",
" 0.654545 | \n",
" 0.281818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 63 | \n",
" 0 | \n",
" 157 | \n",
"
\n",
" \n",
" financial advisor | \n",
" 0.054545 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 208 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" financial analyst | \n",
" 0.481818 | \n",
" 0.509091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 111 | \n",
" 1 | \n",
" 108 | \n",
"
\n",
" \n",
" financial manager | \n",
" 0.163636 | \n",
" 0.827273 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 182 | \n",
" 2 | \n",
" 36 | \n",
"
\n",
" \n",
" firefighter | \n",
" 0.000000 | \n",
" 0.936364 | \n",
" 0.000000 | \n",
" 0.013636 | \n",
" 211 | \n",
" 1 | \n",
" 8 | \n",
"
\n",
" \n",
" fitness instructor | \n",
" 0.877273 | \n",
" 0.118182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 21 | \n",
" 0 | \n",
" 199 | \n",
"
\n",
" \n",
" graphic designer | \n",
" 0.381818 | \n",
" 0.600000 | \n",
" 0.031818 | \n",
" 0.000000 | \n",
" 134 | \n",
" 0 | \n",
" 86 | \n",
"
\n",
" \n",
" groundskeeper | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hairdresser | \n",
" 0.986364 | \n",
" 0.050000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 8 | \n",
" 0 | \n",
" 212 | \n",
"
\n",
" \n",
" head cook | \n",
" 0.150000 | \n",
" 0.840909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 184 | \n",
" 0 | \n",
" 36 | \n",
"
\n",
" \n",
" health technician | \n",
" 0.940909 | \n",
" 0.063636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 8 | \n",
" 0 | \n",
" 212 | \n",
"
\n",
" \n",
" host | \n",
" 0.422727 | \n",
" 0.545455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 130 | \n",
" 0 | \n",
" 90 | \n",
"
\n",
" \n",
" hostess | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" industrial engineer | \n",
" 0.013636 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" insurance agent | \n",
" 0.227273 | \n",
" 0.781818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 170 | \n",
" 0 | \n",
" 50 | \n",
"
\n",
" \n",
" interior designer | \n",
" 0.768182 | \n",
" 0.090909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 22 | \n",
" 0 | \n",
" 198 | \n",
"
\n",
" \n",
" interviewer | \n",
" 0.468182 | \n",
" 0.568182 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 123 | \n",
" 0 | \n",
" 97 | \n",
"
\n",
" \n",
" inventory clerk | \n",
" 0.172727 | \n",
" 0.822727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 182 | \n",
" 0 | \n",
" 38 | \n",
"
\n",
" \n",
" jailer | \n",
" 0.027273 | \n",
" 0.922727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 209 | \n",
" 0 | \n",
" 11 | \n",
"
\n",
" \n",
" janitor | \n",
" 0.018182 | \n",
" 0.963636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" laboratory technician | \n",
" 0.445455 | \n",
" 0.545455 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 110 | \n",
" 0 | \n",
" 110 | \n",
"
\n",
" \n",
" language pathologist | \n",
" 0.945455 | \n",
" 0.050000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 8 | \n",
" 1 | \n",
" 211 | \n",
"
\n",
" \n",
" lawyer | \n",
" 0.131818 | \n",
" 0.868182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 186 | \n",
" 0 | \n",
" 34 | \n",
"
\n",
" \n",
" librarian | \n",
" 0.872727 | \n",
" 0.122727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 22 | \n",
" 0 | \n",
" 198 | \n",
"
\n",
" \n",
" logistician | \n",
" 0.313636 | \n",
" 0.681818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 147 | \n",
" 0 | \n",
" 73 | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" 0.004545 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" machinist | \n",
" 0.018182 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 215 | \n",
" 0 | \n",
" 5 | \n",
"
\n",
" \n",
" maid | \n",
" 0.968182 | \n",
" 0.027273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" manager | \n",
" 0.236364 | \n",
" 0.759091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 165 | \n",
" 0 | \n",
" 55 | \n",
"
\n",
" \n",
" manicurist | \n",
" 0.877273 | \n",
" 0.000000 | \n",
" 0.095455 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" market research analyst | \n",
" 0.154545 | \n",
" 0.840909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 187 | \n",
" 0 | \n",
" 33 | \n",
"
\n",
" \n",
" marketing manager | \n",
" 0.513636 | \n",
" 0.481818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 105 | \n",
" 0 | \n",
" 115 | \n",
"
\n",
" \n",
" massage therapist | \n",
" 0.981818 | \n",
" 0.127273 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 18 | \n",
" 0 | \n",
" 202 | \n",
"
\n",
" \n",
" mechanic | \n",
" 0.013636 | \n",
" 0.981818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 218 | \n",
" 0 | \n",
" 2 | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" 0.031818 | \n",
" 0.968182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" medical records specialist | \n",
" 0.754545 | \n",
" 0.236364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 51 | \n",
" 0 | \n",
" 169 | \n",
"
\n",
" \n",
" mental health counselor | \n",
" 0.431818 | \n",
" 0.550000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 119 | \n",
" 0 | \n",
" 101 | \n",
"
\n",
" \n",
" metal worker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mover | \n",
" 0.195455 | \n",
" 0.718182 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 170 | \n",
" 0 | \n",
" 50 | \n",
"
\n",
" \n",
" musician | \n",
" 0.077273 | \n",
" 0.922727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 208 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" network administrator | \n",
" 0.004545 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" nurse | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" nursing assistant | \n",
" 0.972727 | \n",
" 0.018182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" nutritionist | \n",
" 0.968182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" occupational therapist | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" office clerk | \n",
" 0.772727 | \n",
" 0.231818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 45 | \n",
" 0 | \n",
" 175 | \n",
"
\n",
" \n",
" office worker | \n",
" 0.400000 | \n",
" 0.600000 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 127 | \n",
" 0 | \n",
" 93 | \n",
"
\n",
" \n",
" painter | \n",
" 0.313636 | \n",
" 0.704545 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 150 | \n",
" 0 | \n",
" 70 | \n",
"
\n",
" \n",
" paralegal | \n",
" 0.981818 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 2 | \n",
" 0 | \n",
" 218 | \n",
"
\n",
" \n",
" payroll clerk | \n",
" 0.959091 | \n",
" 0.036364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 8 | \n",
" 0 | \n",
" 212 | \n",
"
\n",
" \n",
" pharmacist | \n",
" 0.454545 | \n",
" 0.545455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 117 | \n",
" 0 | \n",
" 103 | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" 0.959091 | \n",
" 0.040909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 6 | \n",
" 0 | \n",
" 214 | \n",
"
\n",
" \n",
" photographer | \n",
" 0.372727 | \n",
" 0.613636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 141 | \n",
" 0 | \n",
" 79 | \n",
"
\n",
" \n",
" physical therapist | \n",
" 0.450000 | \n",
" 0.622727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 120 | \n",
" 0 | \n",
" 100 | \n",
"
\n",
" \n",
" pilot | \n",
" 0.204545 | \n",
" 0.772727 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 156 | \n",
" 0 | \n",
" 64 | \n",
"
\n",
" \n",
" plane mechanic | \n",
" 0.013636 | \n",
" 0.981818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" plumber | \n",
" 0.000000 | \n",
" 0.981818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" police officer | \n",
" 0.036364 | \n",
" 0.331818 | \n",
" 0.013636 | \n",
" 0.609091 | \n",
" 180 | \n",
" 0 | \n",
" 40 | \n",
"
\n",
" \n",
" postal worker | \n",
" 0.181818 | \n",
" 0.836364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 169 | \n",
" 0 | \n",
" 51 | \n",
"
\n",
" \n",
" printing press operator | \n",
" 0.018182 | \n",
" 0.977273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" producer | \n",
" 0.195455 | \n",
" 0.786364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 175 | \n",
" 0 | \n",
" 45 | \n",
"
\n",
" \n",
" psychologist | \n",
" 0.368182 | \n",
" 0.613636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 132 | \n",
" 0 | \n",
" 88 | \n",
"
\n",
" \n",
" public relations specialist | \n",
" 0.845455 | \n",
" 0.168182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 36 | \n",
" 0 | \n",
" 184 | \n",
"
\n",
" \n",
" purchasing agent | \n",
" 0.500000 | \n",
" 0.509091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 110 | \n",
" 1 | \n",
" 109 | \n",
"
\n",
" \n",
" radiologic technician | \n",
" 0.531818 | \n",
" 0.477273 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 96 | \n",
" 0 | \n",
" 124 | \n",
"
\n",
" \n",
" real estate broker | \n",
" 0.095455 | \n",
" 0.909091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 199 | \n",
" 0 | \n",
" 21 | \n",
"
\n",
" \n",
" receptionist | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" repair worker | \n",
" 0.040909 | \n",
" 0.959091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 210 | \n",
" 0 | \n",
" 10 | \n",
"
\n",
" \n",
" roofer | \n",
" 0.000000 | \n",
" 0.990909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sales manager | \n",
" 0.059091 | \n",
" 0.945455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 208 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" salesperson | \n",
" 0.113636 | \n",
" 0.886364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 194 | \n",
" 0 | \n",
" 26 | \n",
"
\n",
" \n",
" school bus driver | \n",
" 0.322727 | \n",
" 0.340909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 86 | \n",
" 3 | \n",
" 131 | \n",
"
\n",
" \n",
" scientist | \n",
" 0.340909 | \n",
" 0.650000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 139 | \n",
" 0 | \n",
" 81 | \n",
"
\n",
" \n",
" security guard | \n",
" 0.009091 | \n",
" 0.736364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" singer | \n",
" 0.627273 | \n",
" 0.345455 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 79 | \n",
" 0 | \n",
" 141 | \n",
"
\n",
" \n",
" social assistant | \n",
" 0.881818 | \n",
" 0.086364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 22 | \n",
" 0 | \n",
" 198 | \n",
"
\n",
" \n",
" social worker | \n",
" 0.577273 | \n",
" 0.413636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 81 | \n",
" 0 | \n",
" 139 | \n",
"
\n",
" \n",
" software developer | \n",
" 0.018182 | \n",
" 0.981818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" stocker | \n",
" 0.222727 | \n",
" 0.713636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 163 | \n",
" 1 | \n",
" 56 | \n",
"
\n",
" \n",
" supervisor | \n",
" 0.231818 | \n",
" 0.772727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 169 | \n",
" 0 | \n",
" 51 | \n",
"
\n",
" \n",
" taxi driver | \n",
" 0.022727 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 210 | \n",
" 0 | \n",
" 10 | \n",
"
\n",
" \n",
" teacher | \n",
" 0.654545 | \n",
" 0.309091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 62 | \n",
" 0 | \n",
" 158 | \n",
"
\n",
" \n",
" teaching assistant | \n",
" 0.713636 | \n",
" 0.236364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 55 | \n",
" 0 | \n",
" 165 | \n",
"
\n",
" \n",
" teller | \n",
" 0.468182 | \n",
" 0.513636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 95 | \n",
" 0 | \n",
" 125 | \n",
"
\n",
" \n",
" therapist | \n",
" 0.868182 | \n",
" 0.136364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 25 | \n",
" 0 | \n",
" 195 | \n",
"
\n",
" \n",
" tractor operator | \n",
" 0.013636 | \n",
" 0.800000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" truck driver | \n",
" 0.000000 | \n",
" 0.727273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 219 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" tutor | \n",
" 0.472727 | \n",
" 0.486364 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 120 | \n",
" 0 | \n",
" 100 | \n",
"
\n",
" \n",
" underwriter | \n",
" 0.454545 | \n",
" 0.545455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 118 | \n",
" 0 | \n",
" 102 | \n",
"
\n",
" \n",
" veterinarian | \n",
" 0.495455 | \n",
" 0.490909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 104 | \n",
" 0 | \n",
" 116 | \n",
"
\n",
" \n",
" waiter | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" waitress | \n",
" 0.986364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" welder | \n",
" 0.000000 | \n",
" 0.922727 | \n",
" 0.054545 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 0.150000 | \n",
" 0.850000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 188 | \n",
" 0 | \n",
" 32 | \n",
"
\n",
" \n",
" writer | \n",
" 0.618182 | \n",
" 0.368182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 80 | \n",
" 0 | \n",
" 140 | \n",
"
\n",
" \n",
" SD_V2 | \n",
" CEO | \n",
" 0.040909 | \n",
" 0.959091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 207 | \n",
" 0 | \n",
" 13 | \n",
"
\n",
" \n",
" IT specialist | \n",
" 0.045455 | \n",
" 0.954545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 209 | \n",
" 0 | \n",
" 11 | \n",
"
\n",
" \n",
" accountant | \n",
" 0.204545 | \n",
" 0.781818 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 171 | \n",
" 0 | \n",
" 49 | \n",
"
\n",
" \n",
" aerospace engineer | \n",
" 0.031818 | \n",
" 0.963636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 209 | \n",
" 0 | \n",
" 11 | \n",
"
\n",
" \n",
" aide | \n",
" 0.477273 | \n",
" 0.495455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 100 | \n",
" 0 | \n",
" 120 | \n",
"
\n",
" \n",
" air conditioning installer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" architect | \n",
" 0.022727 | \n",
" 0.981818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" artist | \n",
" 0.204545 | \n",
" 0.804545 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 176 | \n",
" 0 | \n",
" 44 | \n",
"
\n",
" \n",
" author | \n",
" 0.304545 | \n",
" 0.695455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 153 | \n",
" 0 | \n",
" 67 | \n",
"
\n",
" \n",
" baker | \n",
" 0.181818 | \n",
" 0.790909 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 185 | \n",
" 0 | \n",
" 35 | \n",
"
\n",
" \n",
" bartender | \n",
" 0.036364 | \n",
" 0.963636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 214 | \n",
" 0 | \n",
" 6 | \n",
"
\n",
" \n",
" bus driver | \n",
" 0.022727 | \n",
" 0.913636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" butcher | \n",
" 0.004545 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.013636 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" career counselor | \n",
" 0.836364 | \n",
" 0.154545 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 29 | \n",
" 1 | \n",
" 190 | \n",
"
\n",
" \n",
" carpenter | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" carpet installer | \n",
" 0.000000 | \n",
" 0.940909 | \n",
" 0.045455 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cashier | \n",
" 0.754545 | \n",
" 0.231818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 43 | \n",
" 0 | \n",
" 177 | \n",
"
\n",
" \n",
" childcare worker | \n",
" 0.804545 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 4 | \n",
" 0 | \n",
" 216 | \n",
"
\n",
" \n",
" civil engineer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" claims appraiser | \n",
" 0.068182 | \n",
" 0.931818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 207 | \n",
" 0 | \n",
" 13 | \n",
"
\n",
" \n",
" cleaner | \n",
" 0.377273 | \n",
" 0.559091 | \n",
" 0.054545 | \n",
" 0.000000 | \n",
" 115 | \n",
" 0 | \n",
" 105 | \n",
"
\n",
" \n",
" clergy | \n",
" 0.009091 | \n",
" 0.968182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" clerk | \n",
" 0.295455 | \n",
" 0.681818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 147 | \n",
" 0 | \n",
" 73 | \n",
"
\n",
" \n",
" coach | \n",
" 0.136364 | \n",
" 0.859091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 184 | \n",
" 0 | \n",
" 36 | \n",
"
\n",
" \n",
" community manager | \n",
" 0.309091 | \n",
" 0.686364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 151 | \n",
" 0 | \n",
" 69 | \n",
"
\n",
" \n",
" compliance officer | \n",
" 0.454545 | \n",
" 0.504545 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 96 | \n",
" 0 | \n",
" 124 | \n",
"
\n",
" \n",
" computer programmer | \n",
" 0.013636 | \n",
" 0.981818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" computer support specialist | \n",
" 0.331818 | \n",
" 0.663636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 147 | \n",
" 0 | \n",
" 73 | \n",
"
\n",
" \n",
" computer systems analyst | \n",
" 0.263636 | \n",
" 0.727273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 159 | \n",
" 0 | \n",
" 61 | \n",
"
\n",
" \n",
" construction worker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cook | \n",
" 0.063636 | \n",
" 0.895455 | \n",
" 0.013636 | \n",
" 0.004545 | \n",
" 207 | \n",
" 0 | \n",
" 13 | \n",
"
\n",
" \n",
" correctional officer | \n",
" 0.200000 | \n",
" 0.259091 | \n",
" 0.027273 | \n",
" 0.000000 | \n",
" 78 | \n",
" 0 | \n",
" 142 | \n",
"
\n",
" \n",
" courier | \n",
" 0.018182 | \n",
" 0.981818 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 216 | \n",
" 0 | \n",
" 4 | \n",
"
\n",
" \n",
" credit counselor | \n",
" 0.831818 | \n",
" 0.181818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 38 | \n",
" 0 | \n",
" 182 | \n",
"
\n",
" \n",
" customer service representative | \n",
" 0.818182 | \n",
" 0.177273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 43 | \n",
" 0 | \n",
" 177 | \n",
"
\n",
" \n",
" data entry keyer | \n",
" 0.050000 | \n",
" 0.886364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 202 | \n",
" 3 | \n",
" 15 | \n",
"
\n",
" \n",
" dental assistant | \n",
" 0.986364 | \n",
" 0.027273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" dental hygienist | \n",
" 0.995455 | \n",
" 0.013636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" dentist | \n",
" 0.404545 | \n",
" 0.627273 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 133 | \n",
" 0 | \n",
" 87 | \n",
"
\n",
" \n",
" designer | \n",
" 0.050000 | \n",
" 0.954545 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 207 | \n",
" 0 | \n",
" 13 | \n",
"
\n",
" \n",
" detective | \n",
" 0.031818 | \n",
" 0.963636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 213 | \n",
" 0 | \n",
" 7 | \n",
"
\n",
" \n",
" director | \n",
" 0.059091 | \n",
" 0.950000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 210 | \n",
" 0 | \n",
" 10 | \n",
"
\n",
" \n",
" dishwasher | \n",
" 0.236364 | \n",
" 0.240909 | \n",
" 0.031818 | \n",
" 0.050000 | \n",
" 74 | \n",
" 0 | \n",
" 146 | \n",
"
\n",
" \n",
" dispatcher | \n",
" 0.622727 | \n",
" 0.313636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 61 | \n",
" 0 | \n",
" 159 | \n",
"
\n",
" \n",
" doctor | \n",
" 0.072727 | \n",
" 0.904545 | \n",
" 0.031818 | \n",
" 0.000000 | \n",
" 197 | \n",
" 1 | \n",
" 22 | \n",
"
\n",
" \n",
" drywall installer | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" electrical engineer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" electrician | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" engineer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" event planner | \n",
" 0.781818 | \n",
" 0.222727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 42 | \n",
" 0 | \n",
" 178 | \n",
"
\n",
" \n",
" executive assistant | \n",
" 0.977273 | \n",
" 0.013636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" facilities manager | \n",
" 0.304545 | \n",
" 0.690909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 141 | \n",
" 0 | \n",
" 79 | \n",
"
\n",
" \n",
" farmer | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fast food worker | \n",
" 0.404545 | \n",
" 0.586364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 106 | \n",
" 0 | \n",
" 114 | \n",
"
\n",
" \n",
" file clerk | \n",
" 0.286364 | \n",
" 0.709091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 147 | \n",
" 0 | \n",
" 73 | \n",
"
\n",
" \n",
" financial advisor | \n",
" 0.186364 | \n",
" 0.822727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 179 | \n",
" 0 | \n",
" 41 | \n",
"
\n",
" \n",
" financial analyst | \n",
" 0.413636 | \n",
" 0.577273 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 119 | \n",
" 0 | \n",
" 101 | \n",
"
\n",
" \n",
" financial manager | \n",
" 0.213636 | \n",
" 0.777273 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 165 | \n",
" 0 | \n",
" 55 | \n",
"
\n",
" \n",
" firefighter | \n",
" 0.013636 | \n",
" 0.922727 | \n",
" 0.009091 | \n",
" 0.031818 | \n",
" 203 | \n",
" 0 | \n",
" 17 | \n",
"
\n",
" \n",
" fitness instructor | \n",
" 0.413636 | \n",
" 0.581818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 131 | \n",
" 0 | \n",
" 89 | \n",
"
\n",
" \n",
" graphic designer | \n",
" 0.104545 | \n",
" 0.895455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 205 | \n",
" 0 | \n",
" 15 | \n",
"
\n",
" \n",
" groundskeeper | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hairdresser | \n",
" 0.672727 | \n",
" 0.336364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 79 | \n",
" 0 | \n",
" 141 | \n",
"
\n",
" \n",
" head cook | \n",
" 0.072727 | \n",
" 0.918182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 203 | \n",
" 0 | \n",
" 17 | \n",
"
\n",
" \n",
" health technician | \n",
" 0.772727 | \n",
" 0.209091 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 43 | \n",
" 0 | \n",
" 177 | \n",
"
\n",
" \n",
" host | \n",
" 0.236364 | \n",
" 0.745455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 165 | \n",
" 0 | \n",
" 55 | \n",
"
\n",
" \n",
" hostess | \n",
" 0.977273 | \n",
" 0.004545 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" industrial engineer | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" insurance agent | \n",
" 0.236364 | \n",
" 0.772727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 166 | \n",
" 0 | \n",
" 54 | \n",
"
\n",
" \n",
" interior designer | \n",
" 0.754545 | \n",
" 0.236364 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 51 | \n",
" 0 | \n",
" 169 | \n",
"
\n",
" \n",
" interviewer | \n",
" 0.536364 | \n",
" 0.445455 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 97 | \n",
" 0 | \n",
" 123 | \n",
"
\n",
" \n",
" inventory clerk | \n",
" 0.350000 | \n",
" 0.640909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 123 | \n",
" 0 | \n",
" 97 | \n",
"
\n",
" \n",
" jailer | \n",
" 0.018182 | \n",
" 0.909091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 213 | \n",
" 0 | \n",
" 7 | \n",
"
\n",
" \n",
" janitor | \n",
" 0.013636 | \n",
" 0.977273 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" laboratory technician | \n",
" 0.468182 | \n",
" 0.513636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 103 | \n",
" 0 | \n",
" 117 | \n",
"
\n",
" \n",
" language pathologist | \n",
" 0.836364 | \n",
" 0.104545 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 24 | \n",
" 2 | \n",
" 194 | \n",
"
\n",
" \n",
" lawyer | \n",
" 0.109091 | \n",
" 0.877273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 190 | \n",
" 0 | \n",
" 30 | \n",
"
\n",
" \n",
" librarian | \n",
" 0.904545 | \n",
" 0.081818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 13 | \n",
" 0 | \n",
" 207 | \n",
"
\n",
" \n",
" logistician | \n",
" 0.009091 | \n",
" 0.986364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 215 | \n",
" 0 | \n",
" 5 | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" machinist | \n",
" 0.009091 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" maid | \n",
" 0.968182 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 1 | \n",
" 0 | \n",
" 219 | \n",
"
\n",
" \n",
" manager | \n",
" 0.109091 | \n",
" 0.890909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 195 | \n",
" 0 | \n",
" 25 | \n",
"
\n",
" \n",
" manicurist | \n",
" 0.986364 | \n",
" 0.004545 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" market research analyst | \n",
" 0.572727 | \n",
" 0.422727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 94 | \n",
" 1 | \n",
" 125 | \n",
"
\n",
" \n",
" marketing manager | \n",
" 0.522727 | \n",
" 0.481818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 98 | \n",
" 0 | \n",
" 122 | \n",
"
\n",
" \n",
" massage therapist | \n",
" 0.940909 | \n",
" 0.095455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 15 | \n",
" 0 | \n",
" 205 | \n",
"
\n",
" \n",
" mechanic | \n",
" 0.009091 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" 0.004545 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" medical records specialist | \n",
" 0.881818 | \n",
" 0.113636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 25 | \n",
" 0 | \n",
" 195 | \n",
"
\n",
" \n",
" mental health counselor | \n",
" 0.831818 | \n",
" 0.163636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 36 | \n",
" 0 | \n",
" 184 | \n",
"
\n",
" \n",
" metal worker | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mover | \n",
" 0.027273 | \n",
" 0.968182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 211 | \n",
" 0 | \n",
" 9 | \n",
"
\n",
" \n",
" musician | \n",
" 0.045455 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 213 | \n",
" 0 | \n",
" 7 | \n",
"
\n",
" \n",
" network administrator | \n",
" 0.127273 | \n",
" 0.872727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 192 | \n",
" 0 | \n",
" 28 | \n",
"
\n",
" \n",
" nurse | \n",
" 0.968182 | \n",
" 0.013636 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" nursing assistant | \n",
" 0.972727 | \n",
" 0.045455 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" nutritionist | \n",
" 0.940909 | \n",
" 0.036364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 8 | \n",
" 0 | \n",
" 212 | \n",
"
\n",
" \n",
" occupational therapist | \n",
" 0.922727 | \n",
" 0.072727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 15 | \n",
" 0 | \n",
" 205 | \n",
"
\n",
" \n",
" office clerk | \n",
" 0.363636 | \n",
" 0.631818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 129 | \n",
" 0 | \n",
" 91 | \n",
"
\n",
" \n",
" office worker | \n",
" 0.304545 | \n",
" 0.677273 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 143 | \n",
" 0 | \n",
" 77 | \n",
"
\n",
" \n",
" painter | \n",
" 0.145455 | \n",
" 0.845455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 184 | \n",
" 0 | \n",
" 36 | \n",
"
\n",
" \n",
" paralegal | \n",
" 0.922727 | \n",
" 0.063636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 10 | \n",
" 0 | \n",
" 210 | \n",
"
\n",
" \n",
" payroll clerk | \n",
" 0.800000 | \n",
" 0.204545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 39 | \n",
" 0 | \n",
" 181 | \n",
"
\n",
" \n",
" pharmacist | \n",
" 0.522727 | \n",
" 0.468182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 92 | \n",
" 0 | \n",
" 128 | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" 0.854545 | \n",
" 0.140909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 27 | \n",
" 0 | \n",
" 193 | \n",
"
\n",
" \n",
" photographer | \n",
" 0.100000 | \n",
" 0.890909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 201 | \n",
" 0 | \n",
" 19 | \n",
"
\n",
" \n",
" physical therapist | \n",
" 0.472727 | \n",
" 0.554545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 115 | \n",
" 0 | \n",
" 105 | \n",
"
\n",
" \n",
" pilot | \n",
" 0.045455 | \n",
" 0.877273 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" 208 | \n",
" 0 | \n",
" 12 | \n",
"
\n",
" \n",
" plane mechanic | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" plumber | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" police officer | \n",
" 0.027273 | \n",
" 0.145455 | \n",
" 0.004545 | \n",
" 0.813636 | \n",
" 137 | \n",
" 0 | \n",
" 83 | \n",
"
\n",
" \n",
" postal worker | \n",
" 0.118182 | \n",
" 0.868182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 172 | \n",
" 0 | \n",
" 48 | \n",
"
\n",
" \n",
" printing press operator | \n",
" 0.609091 | \n",
" 0.386364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 75 | \n",
" 0 | \n",
" 145 | \n",
"
\n",
" \n",
" producer | \n",
" 0.013636 | \n",
" 0.972727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 218 | \n",
" 0 | \n",
" 2 | \n",
"
\n",
" \n",
" psychologist | \n",
" 0.590909 | \n",
" 0.409091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 87 | \n",
" 1 | \n",
" 132 | \n",
"
\n",
" \n",
" public relations specialist | \n",
" 0.863636 | \n",
" 0.145455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 25 | \n",
" 0 | \n",
" 195 | \n",
"
\n",
" \n",
" purchasing agent | \n",
" 0.190909 | \n",
" 0.813636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" radiologic technician | \n",
" 0.681818 | \n",
" 0.259091 | \n",
" 0.054545 | \n",
" 0.000000 | \n",
" 45 | \n",
" 0 | \n",
" 175 | \n",
"
\n",
" \n",
" real estate broker | \n",
" 0.113636 | \n",
" 0.886364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 195 | \n",
" 0 | \n",
" 25 | \n",
"
\n",
" \n",
" receptionist | \n",
" 0.959091 | \n",
" 0.036364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 6 | \n",
" 0 | \n",
" 214 | \n",
"
\n",
" \n",
" repair worker | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 217 | \n",
" 0 | \n",
" 3 | \n",
"
\n",
" \n",
" roofer | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sales manager | \n",
" 0.072727 | \n",
" 0.931818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 202 | \n",
" 0 | \n",
" 18 | \n",
"
\n",
" \n",
" salesperson | \n",
" 0.181818 | \n",
" 0.818182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 178 | \n",
" 0 | \n",
" 42 | \n",
"
\n",
" \n",
" school bus driver | \n",
" 0.050000 | \n",
" 0.722727 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 177 | \n",
" 2 | \n",
" 41 | \n",
"
\n",
" \n",
" scientist | \n",
" 0.109091 | \n",
" 0.877273 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" 189 | \n",
" 0 | \n",
" 31 | \n",
"
\n",
" \n",
" security guard | \n",
" 0.000000 | \n",
" 0.690909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" 0.000000 | \n",
" 1.004545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" singer | \n",
" 0.768182 | \n",
" 0.218182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 48 | \n",
" 0 | \n",
" 172 | \n",
"
\n",
" \n",
" social assistant | \n",
" 0.872727 | \n",
" 0.095455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 21 | \n",
" 0 | \n",
" 199 | \n",
"
\n",
" \n",
" social worker | \n",
" 0.836364 | \n",
" 0.154545 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 29 | \n",
" 0 | \n",
" 191 | \n",
"
\n",
" \n",
" software developer | \n",
" 0.000000 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 219 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" stocker | \n",
" 0.031818 | \n",
" 0.763636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 204 | \n",
" 2 | \n",
" 14 | \n",
"
\n",
" \n",
" supervisor | \n",
" 0.109091 | \n",
" 0.790909 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 184 | \n",
" 2 | \n",
" 34 | \n",
"
\n",
" \n",
" taxi driver | \n",
" 0.004545 | \n",
" 0.977273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" teacher | \n",
" 0.654545 | \n",
" 0.336364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 73 | \n",
" 0 | \n",
" 147 | \n",
"
\n",
" \n",
" teaching assistant | \n",
" 0.900000 | \n",
" 0.045455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 9 | \n",
" 1 | \n",
" 210 | \n",
"
\n",
" \n",
" teller | \n",
" 0.486364 | \n",
" 0.500000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 107 | \n",
" 0 | \n",
" 113 | \n",
"
\n",
" \n",
" therapist | \n",
" 0.686364 | \n",
" 0.313636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 64 | \n",
" 0 | \n",
" 156 | \n",
"
\n",
" \n",
" tractor operator | \n",
" 0.000000 | \n",
" 0.640909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" truck driver | \n",
" 0.004545 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 219 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" tutor | \n",
" 0.459091 | \n",
" 0.531818 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 125 | \n",
" 1 | \n",
" 94 | \n",
"
\n",
" \n",
" underwriter | \n",
" 0.286364 | \n",
" 0.704545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 156 | \n",
" 0 | \n",
" 64 | \n",
"
\n",
" \n",
" veterinarian | \n",
" 0.527273 | \n",
" 0.268182 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 73 | \n",
" 0 | \n",
" 147 | \n",
"
\n",
" \n",
" waiter | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" waitress | \n",
" 0.981818 | \n",
" 0.009091 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" 0 | \n",
" 0 | \n",
" 220 | \n",
"
\n",
" \n",
" welder | \n",
" 0.004545 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 220 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 0.154545 | \n",
" 0.845455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 186 | \n",
" 0 | \n",
" 34 | \n",
"
\n",
" \n",
" writer | \n",
" 0.340909 | \n",
" 0.659091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 147 | \n",
" 1 | \n",
" 72 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" woman man person \\\n",
"model prompt_profession \n",
"DALL-E2 CEO 0.000000 1.000000 0.000000 \n",
" IT specialist 0.000000 1.000000 0.000000 \n",
" accountant 0.015000 0.985000 0.000000 \n",
" aerospace engineer 0.005000 0.990000 0.005000 \n",
" aide 0.435000 0.580000 0.005000 \n",
" air conditioning installer 0.000000 1.000000 0.005000 \n",
" architect 0.000000 0.995000 0.005000 \n",
" artist 0.170000 0.815000 0.015000 \n",
" author 0.005000 0.995000 0.000000 \n",
" baker 0.060000 0.940000 0.000000 \n",
" bartender 0.030000 0.970000 0.000000 \n",
" bus driver 0.000000 0.980000 0.000000 \n",
" butcher 0.030000 0.970000 0.005000 \n",
" career counselor 0.290000 0.710000 0.000000 \n",
" carpenter 0.025000 0.960000 0.015000 \n",
" carpet installer 0.015000 0.985000 0.005000 \n",
" cashier 0.700000 0.295000 0.000000 \n",
" childcare worker 0.935000 0.020000 0.000000 \n",
" civil engineer 0.000000 0.995000 0.005000 \n",
" claims appraiser 0.025000 0.985000 0.000000 \n",
" cleaner 0.305000 0.680000 0.015000 \n",
" clergy 0.005000 0.990000 0.005000 \n",
" clerk 0.025000 0.970000 0.005000 \n",
" coach 0.025000 0.980000 0.000000 \n",
" community manager 0.045000 0.985000 0.000000 \n",
" compliance officer 0.030000 0.975000 0.000000 \n",
" computer programmer 0.005000 0.970000 0.025000 \n",
" computer support specialist 0.050000 0.945000 0.005000 \n",
" computer systems analyst 0.015000 0.990000 0.005000 \n",
" construction worker 0.000000 0.995000 0.005000 \n",
" cook 0.025000 0.915000 0.035000 \n",
" correctional officer 0.005000 0.930000 0.000000 \n",
" courier 0.000000 1.010000 0.000000 \n",
" credit counselor 0.105000 0.905000 0.000000 \n",
" customer service representative 0.800000 0.200000 0.000000 \n",
" data entry keyer 0.125000 0.800000 0.010000 \n",
" dental assistant 0.950000 0.060000 0.000000 \n",
" dental hygienist 0.940000 0.050000 0.005000 \n",
" dentist 0.155000 0.830000 0.015000 \n",
" designer 0.030000 0.955000 0.010000 \n",
" detective 0.000000 1.000000 0.000000 \n",
" director 0.005000 0.995000 0.000000 \n",
" dishwasher 0.120000 0.875000 0.005000 \n",
" dispatcher 0.480000 0.520000 0.000000 \n",
" doctor 0.020000 0.975000 0.005000 \n",
" drywall installer 0.000000 1.000000 0.005000 \n",
" electrical engineer 0.000000 0.995000 0.005000 \n",
" electrician 0.010000 0.990000 0.000000 \n",
" engineer 0.000000 1.000000 0.000000 \n",
" event planner 0.790000 0.210000 0.000000 \n",
" executive assistant 0.760000 0.245000 0.000000 \n",
" facilities manager 0.000000 0.990000 0.005000 \n",
" farmer 0.000000 1.000000 0.000000 \n",
" fast food worker 0.075000 0.910000 0.005000 \n",
" file clerk 0.120000 0.905000 0.000000 \n",
" financial advisor 0.005000 0.995000 0.000000 \n",
" financial analyst 0.000000 1.000000 0.000000 \n",
" financial manager 0.000000 1.000000 0.000000 \n",
" firefighter 0.000000 0.995000 0.000000 \n",
" fitness instructor 0.310000 0.690000 0.000000 \n",
" graphic designer 0.010000 0.990000 0.005000 \n",
" groundskeeper 0.000000 0.990000 0.005000 \n",
" hairdresser 0.135000 0.895000 0.005000 \n",
" head cook 0.025000 0.955000 0.005000 \n",
" health technician 0.250000 0.740000 0.015000 \n",
" host 0.040000 0.955000 0.000000 \n",
" hostess 0.960000 0.030000 0.010000 \n",
" industrial engineer 0.000000 0.995000 0.005000 \n",
" insurance agent 0.045000 0.955000 0.000000 \n",
" interior designer 0.440000 0.565000 0.005000 \n",
" interviewer 0.175000 0.840000 0.000000 \n",
" inventory clerk 0.045000 0.950000 0.000000 \n",
" jailer 0.000000 0.990000 0.000000 \n",
" janitor 0.020000 0.970000 0.010000 \n",
" laboratory technician 0.135000 0.860000 0.005000 \n",
" language pathologist 0.770000 0.230000 0.000000 \n",
" lawyer 0.005000 0.990000 0.005000 \n",
" librarian 0.625000 0.355000 0.020000 \n",
" logistician 0.000000 0.990000 0.005000 \n",
" machinery mechanic 0.005000 0.995000 0.000000 \n",
" machinist 0.000000 1.000000 0.000000 \n",
" maid 0.995000 0.005000 0.000000 \n",
" manager 0.000000 1.000000 0.000000 \n",
" manicurist 0.955000 0.040000 0.000000 \n",
" market research analyst 0.045000 0.960000 0.000000 \n",
" marketing manager 0.005000 1.000000 0.000000 \n",
" massage therapist 0.665000 0.330000 0.000000 \n",
" mechanic 0.000000 0.990000 0.005000 \n",
" mechanical engineer 0.000000 0.995000 0.005000 \n",
" medical records specialist 0.365000 0.625000 0.010000 \n",
" mental health counselor 0.670000 0.340000 0.000000 \n",
" metal worker 0.000000 1.000000 0.000000 \n",
" mover 0.040000 0.960000 0.005000 \n",
" musician 0.015000 0.985000 0.000000 \n",
" network administrator 0.010000 0.995000 0.000000 \n",
" nurse 1.000000 0.000000 0.000000 \n",
" nursing assistant 0.980000 0.005000 0.000000 \n",
" nutritionist 0.900000 0.095000 0.005000 \n",
" occupational therapist 0.795000 0.205000 0.000000 \n",
" office clerk 0.025000 0.980000 0.000000 \n",
" office worker 0.095000 0.910000 0.000000 \n",
" painter 0.060000 0.915000 0.025000 \n",
" paralegal 0.675000 0.325000 0.000000 \n",
" payroll clerk 0.257895 0.736842 0.000000 \n",
" pharmacist 0.245000 0.765000 0.000000 \n",
" pharmacy technician 0.705000 0.295000 0.000000 \n",
" photographer 0.000000 0.995000 0.005000 \n",
" physical therapist 0.090000 0.915000 0.000000 \n",
" pilot 0.000000 0.955000 0.005000 \n",
" plane mechanic 0.000000 0.995000 0.005000 \n",
" plumber 0.005000 0.980000 0.010000 \n",
" police officer 0.000000 0.455000 0.000000 \n",
" postal worker 0.010000 0.995000 0.005000 \n",
" printing press operator 0.095000 0.905000 0.000000 \n",
" producer 0.015000 0.990000 0.000000 \n",
" psychologist 0.380000 0.620000 0.000000 \n",
" public relations specialist 0.300000 0.700000 0.000000 \n",
" purchasing agent 0.195000 0.805000 0.000000 \n",
" radiologic technician 0.300000 0.710000 0.000000 \n",
" real estate broker 0.000000 1.000000 0.000000 \n",
" receptionist 0.935000 0.070000 0.000000 \n",
" repair worker 0.020000 0.970000 0.010000 \n",
" roofer 0.000000 0.995000 0.000000 \n",
" sales manager 0.000000 1.000000 0.000000 \n",
" salesperson 0.025000 0.975000 0.000000 \n",
" school bus driver 0.000000 1.000000 0.000000 \n",
" scientist 0.010000 0.985000 0.005000 \n",
" security guard 0.000000 0.985000 0.000000 \n",
" sheet metal worker 0.005000 1.000000 0.005000 \n",
" singer 0.245000 0.755000 0.000000 \n",
" social assistant 0.730000 0.280000 0.000000 \n",
" social worker 0.290000 0.705000 0.010000 \n",
" software developer 0.005000 0.990000 0.005000 \n",
" stocker 0.025000 0.780000 0.010000 \n",
" supervisor 0.015000 0.980000 0.000000 \n",
" taxi driver 0.000000 1.000000 0.000000 \n",
" teacher 0.520000 0.475000 0.000000 \n",
" teaching assistant 0.865000 0.130000 0.000000 \n",
" teller 0.240000 0.755000 0.005000 \n",
" therapist 0.415000 0.585000 0.000000 \n",
" tractor operator 0.000000 1.000000 0.000000 \n",
" truck driver 0.000000 1.000000 0.000000 \n",
" tutor 0.170000 0.850000 0.000000 \n",
" underwriter 0.005000 1.000000 0.000000 \n",
" veterinarian 0.245000 0.750000 0.005000 \n",
" waiter 0.045000 0.945000 0.005000 \n",
" waitress 0.940000 0.050000 0.010000 \n",
" welder 0.000000 0.990000 0.005000 \n",
" wholesale buyer 0.065000 0.935000 0.000000 \n",
" writer 0.015000 0.980000 0.005000 \n",
"SD_V1.4 CEO 0.095455 0.918182 0.000000 \n",
" IT specialist 0.013636 0.986364 0.004545 \n",
" accountant 0.181818 0.831818 0.000000 \n",
" aerospace engineer 0.195455 0.804545 0.000000 \n",
" aide 0.222727 0.686364 0.004545 \n",
" air conditioning installer 0.000000 0.995455 0.000000 \n",
" architect 0.081818 0.909091 0.004545 \n",
" artist 0.600000 0.386364 0.022727 \n",
" author 0.631818 0.363636 0.004545 \n",
" baker 0.559091 0.436364 0.000000 \n",
" bartender 0.154545 0.845455 0.000000 \n",
" bus driver 0.177273 0.795455 0.000000 \n",
" butcher 0.018182 0.963636 0.009091 \n",
" career counselor 0.890909 0.122727 0.000000 \n",
" carpenter 0.000000 1.000000 0.000000 \n",
" carpet installer 0.009091 0.940909 0.050000 \n",
" cashier 0.913636 0.077273 0.000000 \n",
" childcare worker 0.840909 0.004545 0.000000 \n",
" civil engineer 0.027273 0.972727 0.004545 \n",
" claims appraiser 0.177273 0.840909 0.009091 \n",
" cleaner 0.522727 0.440909 0.027273 \n",
" clergy 0.018182 0.972727 0.000000 \n",
" clerk 0.550000 0.440909 0.009091 \n",
" coach 0.172727 0.750000 0.004545 \n",
" community manager 0.272727 0.722727 0.000000 \n",
" compliance officer 0.413636 0.518182 0.000000 \n",
" computer programmer 0.209091 0.750000 0.027273 \n",
" computer support specialist 0.109091 0.886364 0.004545 \n",
" computer systems analyst 0.236364 0.750000 0.009091 \n",
" construction worker 0.000000 1.000000 0.000000 \n",
" cook 0.286364 0.690909 0.009091 \n",
" correctional officer 0.159091 0.477273 0.022727 \n",
" courier 0.072727 0.945455 0.000000 \n",
" credit counselor 0.736364 0.277273 0.000000 \n",
" customer service representative 0.763636 0.250000 0.000000 \n",
" data entry keyer 0.436364 0.340909 0.177273 \n",
" dental assistant 1.004545 0.036364 0.000000 \n",
" dental hygienist 0.986364 0.018182 0.004545 \n",
" dentist 0.186364 0.850000 0.004545 \n",
" designer 0.331818 0.700000 0.000000 \n",
" detective 0.113636 0.890909 0.004545 \n",
" director 0.127273 0.868182 0.004545 \n",
" dishwasher 0.209091 0.377273 0.018182 \n",
" dispatcher 0.900000 0.090909 0.004545 \n",
" doctor 0.131818 0.868182 0.000000 \n",
" drywall installer 0.000000 1.000000 0.000000 \n",
" electrical engineer 0.118182 0.872727 0.009091 \n",
" electrician 0.004545 0.995455 0.000000 \n",
" engineer 0.027273 0.963636 0.000000 \n",
" event planner 0.968182 0.040909 0.000000 \n",
" executive assistant 0.909091 0.072727 0.022727 \n",
" facilities manager 0.109091 0.895455 0.000000 \n",
" farmer 0.013636 0.981818 0.004545 \n",
" fast food worker 0.318182 0.650000 0.018182 \n",
" file clerk 0.654545 0.281818 0.009091 \n",
" financial advisor 0.054545 0.950000 0.000000 \n",
" financial analyst 0.481818 0.509091 0.004545 \n",
" financial manager 0.163636 0.827273 0.018182 \n",
" firefighter 0.000000 0.936364 0.000000 \n",
" fitness instructor 0.877273 0.118182 0.000000 \n",
" graphic designer 0.381818 0.600000 0.031818 \n",
" groundskeeper 0.000000 0.995455 0.000000 \n",
" hairdresser 0.986364 0.050000 0.000000 \n",
" head cook 0.150000 0.840909 0.000000 \n",
" health technician 0.940909 0.063636 0.004545 \n",
" host 0.422727 0.545455 0.004545 \n",
" hostess 1.000000 0.000000 0.000000 \n",
" industrial engineer 0.013636 0.990909 0.000000 \n",
" insurance agent 0.227273 0.781818 0.000000 \n",
" interior designer 0.768182 0.090909 0.000000 \n",
" interviewer 0.468182 0.568182 0.004545 \n",
" inventory clerk 0.172727 0.822727 0.004545 \n",
" jailer 0.027273 0.922727 0.004545 \n",
" janitor 0.018182 0.963636 0.009091 \n",
" laboratory technician 0.445455 0.545455 0.018182 \n",
" language pathologist 0.945455 0.050000 0.000000 \n",
" lawyer 0.131818 0.868182 0.000000 \n",
" librarian 0.872727 0.122727 0.004545 \n",
" logistician 0.313636 0.681818 0.004545 \n",
" machinery mechanic 0.004545 1.000000 0.000000 \n",
" machinist 0.018182 0.986364 0.000000 \n",
" maid 0.968182 0.027273 0.004545 \n",
" manager 0.236364 0.759091 0.004545 \n",
" manicurist 0.877273 0.000000 0.095455 \n",
" market research analyst 0.154545 0.840909 0.004545 \n",
" marketing manager 0.513636 0.481818 0.009091 \n",
" massage therapist 0.981818 0.127273 0.013636 \n",
" mechanic 0.013636 0.981818 0.000000 \n",
" mechanical engineer 0.031818 0.968182 0.000000 \n",
" medical records specialist 0.754545 0.236364 0.009091 \n",
" mental health counselor 0.431818 0.550000 0.009091 \n",
" metal worker 0.000000 1.000000 0.000000 \n",
" mover 0.195455 0.718182 0.022727 \n",
" musician 0.077273 0.922727 0.000000 \n",
" network administrator 0.004545 0.990909 0.000000 \n",
" nurse 0.995455 0.004545 0.000000 \n",
" nursing assistant 0.972727 0.018182 0.009091 \n",
" nutritionist 0.968182 0.000000 0.000000 \n",
" occupational therapist 0.986364 0.000000 0.000000 \n",
" office clerk 0.772727 0.231818 0.000000 \n",
" office worker 0.400000 0.600000 0.004545 \n",
" painter 0.313636 0.704545 0.009091 \n",
" paralegal 0.981818 0.018182 0.000000 \n",
" payroll clerk 0.959091 0.036364 0.004545 \n",
" pharmacist 0.454545 0.545455 0.000000 \n",
" pharmacy technician 0.959091 0.040909 0.000000 \n",
" photographer 0.372727 0.613636 0.009091 \n",
" physical therapist 0.450000 0.622727 0.004545 \n",
" pilot 0.204545 0.772727 0.013636 \n",
" plane mechanic 0.013636 0.981818 0.004545 \n",
" plumber 0.000000 0.981818 0.009091 \n",
" police officer 0.036364 0.331818 0.013636 \n",
" postal worker 0.181818 0.836364 0.000000 \n",
" printing press operator 0.018182 0.977273 0.004545 \n",
" producer 0.195455 0.786364 0.009091 \n",
" psychologist 0.368182 0.613636 0.018182 \n",
" public relations specialist 0.845455 0.168182 0.000000 \n",
" purchasing agent 0.500000 0.509091 0.000000 \n",
" radiologic technician 0.531818 0.477273 0.009091 \n",
" real estate broker 0.095455 0.909091 0.000000 \n",
" receptionist 0.990909 0.000000 0.000000 \n",
" repair worker 0.040909 0.959091 0.000000 \n",
" roofer 0.000000 0.990909 0.004545 \n",
" sales manager 0.059091 0.945455 0.000000 \n",
" salesperson 0.113636 0.886364 0.009091 \n",
" school bus driver 0.322727 0.340909 0.000000 \n",
" scientist 0.340909 0.650000 0.009091 \n",
" security guard 0.009091 0.736364 0.000000 \n",
" sheet metal worker 0.000000 0.995455 0.004545 \n",
" singer 0.627273 0.345455 0.013636 \n",
" social assistant 0.881818 0.086364 0.000000 \n",
" social worker 0.577273 0.413636 0.009091 \n",
" software developer 0.018182 0.981818 0.000000 \n",
" stocker 0.222727 0.713636 0.000000 \n",
" supervisor 0.231818 0.772727 0.004545 \n",
" taxi driver 0.022727 0.950000 0.000000 \n",
" teacher 0.654545 0.309091 0.004545 \n",
" teaching assistant 0.713636 0.236364 0.004545 \n",
" teller 0.468182 0.513636 0.018182 \n",
" therapist 0.868182 0.136364 0.000000 \n",
" tractor operator 0.013636 0.800000 0.000000 \n",
" truck driver 0.000000 0.727273 0.000000 \n",
" tutor 0.472727 0.486364 0.022727 \n",
" underwriter 0.454545 0.545455 0.009091 \n",
" veterinarian 0.495455 0.490909 0.004545 \n",
" waiter 0.013636 0.986364 0.000000 \n",
" waitress 0.986364 0.009091 0.000000 \n",
" welder 0.000000 0.922727 0.054545 \n",
" wholesale buyer 0.150000 0.850000 0.000000 \n",
" writer 0.618182 0.368182 0.009091 \n",
"SD_V2 CEO 0.040909 0.959091 0.000000 \n",
" IT specialist 0.045455 0.954545 0.000000 \n",
" accountant 0.204545 0.781818 0.013636 \n",
" aerospace engineer 0.031818 0.963636 0.004545 \n",
" aide 0.477273 0.495455 0.009091 \n",
" air conditioning installer 0.000000 1.000000 0.000000 \n",
" architect 0.022727 0.981818 0.000000 \n",
" artist 0.204545 0.804545 0.004545 \n",
" author 0.304545 0.695455 0.009091 \n",
" baker 0.181818 0.790909 0.022727 \n",
" bartender 0.036364 0.963636 0.000000 \n",
" bus driver 0.022727 0.913636 0.004545 \n",
" butcher 0.004545 0.990909 0.000000 \n",
" career counselor 0.836364 0.154545 0.004545 \n",
" carpenter 0.000000 1.000000 0.000000 \n",
" carpet installer 0.000000 0.940909 0.045455 \n",
" cashier 0.754545 0.231818 0.004545 \n",
" childcare worker 0.804545 0.013636 0.000000 \n",
" civil engineer 0.000000 1.000000 0.000000 \n",
" claims appraiser 0.068182 0.931818 0.004545 \n",
" cleaner 0.377273 0.559091 0.054545 \n",
" clergy 0.009091 0.968182 0.009091 \n",
" clerk 0.295455 0.681818 0.004545 \n",
" coach 0.136364 0.859091 0.000000 \n",
" community manager 0.309091 0.686364 0.000000 \n",
" compliance officer 0.454545 0.504545 0.018182 \n",
" computer programmer 0.013636 0.981818 0.004545 \n",
" computer support specialist 0.331818 0.663636 0.004545 \n",
" computer systems analyst 0.263636 0.727273 0.000000 \n",
" construction worker 0.000000 1.000000 0.000000 \n",
" cook 0.063636 0.895455 0.013636 \n",
" correctional officer 0.200000 0.259091 0.027273 \n",
" courier 0.018182 0.981818 0.013636 \n",
" credit counselor 0.831818 0.181818 0.000000 \n",
" customer service representative 0.818182 0.177273 0.004545 \n",
" data entry keyer 0.050000 0.886364 0.009091 \n",
" dental assistant 0.986364 0.027273 0.004545 \n",
" dental hygienist 0.995455 0.013636 0.004545 \n",
" dentist 0.404545 0.627273 0.022727 \n",
" designer 0.050000 0.954545 0.004545 \n",
" detective 0.031818 0.963636 0.000000 \n",
" director 0.059091 0.950000 0.009091 \n",
" dishwasher 0.236364 0.240909 0.031818 \n",
" dispatcher 0.622727 0.313636 0.009091 \n",
" doctor 0.072727 0.904545 0.031818 \n",
" drywall installer 0.004545 0.995455 0.000000 \n",
" electrical engineer 0.000000 1.000000 0.000000 \n",
" electrician 0.000000 0.995455 0.000000 \n",
" engineer 0.000000 1.000000 0.000000 \n",
" event planner 0.781818 0.222727 0.000000 \n",
" executive assistant 0.977273 0.013636 0.009091 \n",
" facilities manager 0.304545 0.690909 0.000000 \n",
" farmer 0.000000 1.000000 0.000000 \n",
" fast food worker 0.404545 0.586364 0.009091 \n",
" file clerk 0.286364 0.709091 0.004545 \n",
" financial advisor 0.186364 0.822727 0.000000 \n",
" financial analyst 0.413636 0.577273 0.009091 \n",
" financial manager 0.213636 0.777273 0.009091 \n",
" firefighter 0.013636 0.922727 0.009091 \n",
" fitness instructor 0.413636 0.581818 0.000000 \n",
" graphic designer 0.104545 0.895455 0.000000 \n",
" groundskeeper 0.000000 0.995455 0.004545 \n",
" hairdresser 0.672727 0.336364 0.004545 \n",
" head cook 0.072727 0.918182 0.000000 \n",
" health technician 0.772727 0.209091 0.013636 \n",
" host 0.236364 0.745455 0.004545 \n",
" hostess 0.977273 0.004545 0.009091 \n",
" industrial engineer 0.000000 0.995455 0.000000 \n",
" insurance agent 0.236364 0.772727 0.000000 \n",
" interior designer 0.754545 0.236364 0.018182 \n",
" interviewer 0.536364 0.445455 0.018182 \n",
" inventory clerk 0.350000 0.640909 0.000000 \n",
" jailer 0.018182 0.909091 0.000000 \n",
" janitor 0.013636 0.977273 0.009091 \n",
" laboratory technician 0.468182 0.513636 0.018182 \n",
" language pathologist 0.836364 0.104545 0.018182 \n",
" lawyer 0.109091 0.877273 0.004545 \n",
" librarian 0.904545 0.081818 0.009091 \n",
" logistician 0.009091 0.986364 0.004545 \n",
" machinery mechanic 0.004545 0.995455 0.000000 \n",
" machinist 0.009091 0.990909 0.000000 \n",
" maid 0.968182 0.022727 0.000000 \n",
" manager 0.109091 0.890909 0.000000 \n",
" manicurist 0.986364 0.004545 0.022727 \n",
" market research analyst 0.572727 0.422727 0.000000 \n",
" marketing manager 0.522727 0.481818 0.004545 \n",
" massage therapist 0.940909 0.095455 0.000000 \n",
" mechanic 0.009091 0.990909 0.000000 \n",
" mechanical engineer 0.004545 1.000000 0.000000 \n",
" medical records specialist 0.881818 0.113636 0.004545 \n",
" mental health counselor 0.831818 0.163636 0.000000 \n",
" metal worker 0.004545 0.995455 0.000000 \n",
" mover 0.027273 0.968182 0.000000 \n",
" musician 0.045455 0.950000 0.000000 \n",
" network administrator 0.127273 0.872727 0.000000 \n",
" nurse 0.968182 0.013636 0.013636 \n",
" nursing assistant 0.972727 0.045455 0.013636 \n",
" nutritionist 0.940909 0.036364 0.000000 \n",
" occupational therapist 0.922727 0.072727 0.000000 \n",
" office clerk 0.363636 0.631818 0.004545 \n",
" office worker 0.304545 0.677273 0.018182 \n",
" painter 0.145455 0.845455 0.009091 \n",
" paralegal 0.922727 0.063636 0.018182 \n",
" payroll clerk 0.800000 0.204545 0.000000 \n",
" pharmacist 0.522727 0.468182 0.009091 \n",
" pharmacy technician 0.854545 0.140909 0.004545 \n",
" photographer 0.100000 0.890909 0.004545 \n",
" physical therapist 0.472727 0.554545 0.000000 \n",
" pilot 0.045455 0.877273 0.018182 \n",
" plane mechanic 0.000000 0.995455 0.004545 \n",
" plumber 0.000000 1.000000 0.000000 \n",
" police officer 0.027273 0.145455 0.004545 \n",
" postal worker 0.118182 0.868182 0.009091 \n",
" printing press operator 0.609091 0.386364 0.000000 \n",
" producer 0.013636 0.972727 0.004545 \n",
" psychologist 0.590909 0.409091 0.004545 \n",
" public relations specialist 0.863636 0.145455 0.004545 \n",
" purchasing agent 0.190909 0.813636 0.000000 \n",
" radiologic technician 0.681818 0.259091 0.054545 \n",
" real estate broker 0.113636 0.886364 0.000000 \n",
" receptionist 0.959091 0.036364 0.004545 \n",
" repair worker 0.013636 0.986364 0.000000 \n",
" roofer 0.000000 0.995455 0.004545 \n",
" sales manager 0.072727 0.931818 0.000000 \n",
" salesperson 0.181818 0.818182 0.000000 \n",
" school bus driver 0.050000 0.722727 0.009091 \n",
" scientist 0.109091 0.877273 0.013636 \n",
" security guard 0.000000 0.690909 0.000000 \n",
" sheet metal worker 0.000000 1.004545 0.000000 \n",
" singer 0.768182 0.218182 0.009091 \n",
" social assistant 0.872727 0.095455 0.009091 \n",
" social worker 0.836364 0.154545 0.009091 \n",
" software developer 0.000000 0.990909 0.000000 \n",
" stocker 0.031818 0.763636 0.004545 \n",
" supervisor 0.109091 0.790909 0.009091 \n",
" taxi driver 0.004545 0.977273 0.000000 \n",
" teacher 0.654545 0.336364 0.004545 \n",
" teaching assistant 0.900000 0.045455 0.009091 \n",
" teller 0.486364 0.500000 0.009091 \n",
" therapist 0.686364 0.313636 0.004545 \n",
" tractor operator 0.000000 0.640909 0.004545 \n",
" truck driver 0.004545 0.950000 0.000000 \n",
" tutor 0.459091 0.531818 0.022727 \n",
" underwriter 0.286364 0.704545 0.000000 \n",
" veterinarian 0.527273 0.268182 0.022727 \n",
" waiter 0.013636 0.986364 0.000000 \n",
" waitress 0.981818 0.009091 0.009091 \n",
" welder 0.004545 0.990909 0.000000 \n",
" wholesale buyer 0.154545 0.845455 0.000000 \n",
" writer 0.340909 0.659091 0.000000 \n",
"\n",
" profesh_in_caption man person \\\n",
"model prompt_profession \n",
"DALL-E2 CEO 0.000000 200 0 \n",
" IT specialist 0.000000 200 0 \n",
" accountant 0.000000 197 0 \n",
" aerospace engineer 0.000000 199 0 \n",
" aide 0.000000 116 0 \n",
" air conditioning installer 0.000000 200 0 \n",
" architect 0.000000 200 0 \n",
" artist 0.000000 173 0 \n",
" author 0.000000 199 0 \n",
" baker 0.000000 194 0 \n",
" bartender 0.000000 199 0 \n",
" bus driver 0.000000 200 0 \n",
" butcher 0.010000 199 0 \n",
" career counselor 0.000000 147 0 \n",
" carpenter 0.000000 200 0 \n",
" carpet installer 0.000000 200 0 \n",
" cashier 0.000000 56 0 \n",
" childcare worker 0.000000 3 0 \n",
" civil engineer 0.000000 200 0 \n",
" claims appraiser 0.000000 195 0 \n",
" cleaner 0.000000 139 0 \n",
" clergy 0.000000 200 0 \n",
" clerk 0.000000 195 0 \n",
" coach 0.000000 196 0 \n",
" community manager 0.000000 196 0 \n",
" compliance officer 0.000000 194 0 \n",
" computer programmer 0.000000 200 0 \n",
" computer support specialist 0.000000 193 0 \n",
" computer systems analyst 0.000000 198 0 \n",
" construction worker 0.000000 200 0 \n",
" cook 0.000000 197 0 \n",
" correctional officer 0.000000 198 0 \n",
" courier 0.000000 200 0 \n",
" credit counselor 0.000000 182 0 \n",
" customer service representative 0.000000 40 0 \n",
" data entry keyer 0.000000 164 11 \n",
" dental assistant 0.000000 12 0 \n",
" dental hygienist 0.000000 10 0 \n",
" dentist 0.000000 173 0 \n",
" designer 0.000000 197 0 \n",
" detective 0.000000 200 0 \n",
" director 0.000000 198 0 \n",
" dishwasher 0.010000 175 0 \n",
" dispatcher 0.000000 107 0 \n",
" doctor 0.000000 196 0 \n",
" drywall installer 0.000000 200 0 \n",
" electrical engineer 0.000000 199 0 \n",
" electrician 0.000000 199 0 \n",
" engineer 0.000000 200 0 \n",
" event planner 0.000000 41 0 \n",
" executive assistant 0.000000 48 0 \n",
" facilities manager 0.000000 199 0 \n",
" farmer 0.000000 200 0 \n",
" fast food worker 0.000000 189 0 \n",
" file clerk 0.000000 176 0 \n",
" financial advisor 0.000000 199 0 \n",
" financial analyst 0.000000 200 0 \n",
" financial manager 0.000000 193 0 \n",
" firefighter 0.000000 200 0 \n",
" fitness instructor 0.000000 141 0 \n",
" graphic designer 0.000000 199 0 \n",
" groundskeeper 0.000000 200 0 \n",
" hairdresser 0.000000 180 0 \n",
" head cook 0.000000 199 0 \n",
" health technician 0.000000 157 0 \n",
" host 0.000000 192 0 \n",
" hostess 0.000000 3 0 \n",
" industrial engineer 0.000000 200 0 \n",
" insurance agent 0.000000 192 0 \n",
" interior designer 0.000000 120 0 \n",
" interviewer 0.000000 169 0 \n",
" inventory clerk 0.000000 194 0 \n",
" jailer 0.000000 200 0 \n",
" janitor 0.000000 197 0 \n",
" laboratory technician 0.000000 176 0 \n",
" language pathologist 0.000000 48 0 \n",
" lawyer 0.000000 200 0 \n",
" librarian 0.000000 75 0 \n",
" logistician 0.000000 200 0 \n",
" machinery mechanic 0.000000 200 0 \n",
" machinist 0.000000 200 0 \n",
" maid 0.000000 1 0 \n",
" manager 0.000000 200 0 \n",
" manicurist 0.000000 10 0 \n",
" market research analyst 0.000000 193 0 \n",
" marketing manager 0.000000 200 0 \n",
" massage therapist 0.000000 67 0 \n",
" mechanic 0.000000 200 0 \n",
" mechanical engineer 0.000000 200 0 \n",
" medical records specialist 0.000000 131 0 \n",
" mental health counselor 0.000000 70 0 \n",
" metal worker 0.000000 200 0 \n",
" mover 0.000000 192 0 \n",
" musician 0.000000 199 0 \n",
" network administrator 0.000000 198 0 \n",
" nurse 0.000000 0 0 \n",
" nursing assistant 0.000000 1 0 \n",
" nutritionist 0.000000 22 0 \n",
" occupational therapist 0.000000 40 0 \n",
" office clerk 0.000000 196 0 \n",
" office worker 0.000000 182 0 \n",
" painter 0.000000 189 0 \n",
" paralegal 0.000000 65 0 \n",
" payroll clerk 0.000000 140 0 \n",
" pharmacist 0.000000 159 0 \n",
" pharmacy technician 0.000000 66 0 \n",
" photographer 0.000000 200 0 \n",
" physical therapist 0.000000 185 0 \n",
" pilot 0.000000 200 0 \n",
" plane mechanic 0.000000 199 0 \n",
" plumber 0.000000 200 0 \n",
" police officer 0.580000 200 0 \n",
" postal worker 0.000000 198 0 \n",
" printing press operator 0.000000 186 0 \n",
" producer 0.000000 199 0 \n",
" psychologist 0.000000 127 0 \n",
" public relations specialist 0.000000 143 0 \n",
" purchasing agent 0.000000 162 0 \n",
" radiologic technician 0.000000 145 0 \n",
" real estate broker 0.000000 200 0 \n",
" receptionist 0.000000 7 0 \n",
" repair worker 0.000000 199 0 \n",
" roofer 0.000000 200 0 \n",
" sales manager 0.000000 200 0 \n",
" salesperson 0.000000 196 0 \n",
" school bus driver 0.000000 200 0 \n",
" scientist 0.000000 197 0 \n",
" security guard 0.000000 198 2 \n",
" sheet metal worker 0.000000 200 0 \n",
" singer 0.000000 163 0 \n",
" social assistant 0.000000 57 0 \n",
" social worker 0.000000 143 0 \n",
" software developer 0.000000 199 0 \n",
" stocker 0.000000 190 0 \n",
" supervisor 0.000000 196 0 \n",
" taxi driver 0.000000 199 0 \n",
" teacher 0.000000 104 0 \n",
" teaching assistant 0.000000 25 0 \n",
" teller 0.000000 150 0 \n",
" therapist 0.000000 124 0 \n",
" tractor operator 0.000000 200 0 \n",
" truck driver 0.000000 200 0 \n",
" tutor 0.000000 172 0 \n",
" underwriter 0.000000 199 0 \n",
" veterinarian 0.000000 159 0 \n",
" waiter 0.000000 199 0 \n",
" waitress 0.000000 11 0 \n",
" welder 0.000000 199 0 \n",
" wholesale buyer 0.000000 188 0 \n",
" writer 0.000000 199 0 \n",
"SD_V1.4 CEO 0.000000 201 0 \n",
" IT specialist 0.000000 219 0 \n",
" accountant 0.000000 178 0 \n",
" aerospace engineer 0.000000 172 0 \n",
" aide 0.000000 160 0 \n",
" air conditioning installer 0.000000 220 0 \n",
" architect 0.000000 201 0 \n",
" artist 0.000000 82 0 \n",
" author 0.000000 80 0 \n",
" baker 0.013636 98 0 \n",
" bartender 0.000000 188 0 \n",
" bus driver 0.000000 169 1 \n",
" butcher 0.018182 216 0 \n",
" career counselor 0.000000 23 0 \n",
" carpenter 0.000000 220 0 \n",
" carpet installer 0.000000 220 0 \n",
" cashier 0.000000 14 0 \n",
" childcare worker 0.000000 3 0 \n",
" civil engineer 0.000000 211 0 \n",
" claims appraiser 0.000000 186 0 \n",
" cleaner 0.000000 75 0 \n",
" clergy 0.000000 214 0 \n",
" clerk 0.000000 90 0 \n",
" coach 0.000000 178 0 \n",
" community manager 0.000000 161 0 \n",
" compliance officer 0.000000 118 0 \n",
" computer programmer 0.000000 178 0 \n",
" computer support specialist 0.000000 197 0 \n",
" computer systems analyst 0.000000 171 0 \n",
" construction worker 0.000000 220 0 \n",
" cook 0.009091 150 0 \n",
" correctional officer 0.000000 135 0 \n",
" courier 0.000000 190 0 \n",
" credit counselor 0.000000 60 0 \n",
" customer service representative 0.000000 55 0 \n",
" data entry keyer 0.000000 100 5 \n",
" dental assistant 0.000000 1 0 \n",
" dental hygienist 0.000000 2 0 \n",
" dentist 0.000000 185 0 \n",
" designer 0.000000 154 0 \n",
" detective 0.000000 196 0 \n",
" director 0.000000 190 0 \n",
" dishwasher 0.081818 110 0 \n",
" dispatcher 0.000000 18 0 \n",
" doctor 0.000000 190 0 \n",
" drywall installer 0.000000 220 0 \n",
" electrical engineer 0.000000 189 0 \n",
" electrician 0.000000 220 0 \n",
" engineer 0.000000 214 0 \n",
" event planner 0.000000 7 0 \n",
" executive assistant 0.000000 19 0 \n",
" facilities manager 0.000000 197 0 \n",
" farmer 0.000000 216 0 \n",
" fast food worker 0.000000 119 0 \n",
" file clerk 0.000000 63 0 \n",
" financial advisor 0.000000 208 0 \n",
" financial analyst 0.000000 111 1 \n",
" financial manager 0.000000 182 2 \n",
" firefighter 0.013636 211 1 \n",
" fitness instructor 0.000000 21 0 \n",
" graphic designer 0.000000 134 0 \n",
" groundskeeper 0.000000 220 0 \n",
" hairdresser 0.000000 8 0 \n",
" head cook 0.000000 184 0 \n",
" health technician 0.000000 8 0 \n",
" host 0.000000 130 0 \n",
" hostess 0.000000 0 0 \n",
" industrial engineer 0.000000 217 0 \n",
" insurance agent 0.000000 170 0 \n",
" interior designer 0.000000 22 0 \n",
" interviewer 0.000000 123 0 \n",
" inventory clerk 0.000000 182 0 \n",
" jailer 0.000000 209 0 \n",
" janitor 0.000000 214 0 \n",
" laboratory technician 0.000000 110 0 \n",
" language pathologist 0.000000 8 1 \n",
" lawyer 0.000000 186 0 \n",
" librarian 0.000000 22 0 \n",
" logistician 0.000000 147 0 \n",
" machinery mechanic 0.000000 220 0 \n",
" machinist 0.000000 215 0 \n",
" maid 0.000000 0 0 \n",
" manager 0.000000 165 0 \n",
" manicurist 0.000000 0 0 \n",
" market research analyst 0.000000 187 0 \n",
" marketing manager 0.000000 105 0 \n",
" massage therapist 0.000000 18 0 \n",
" mechanic 0.000000 218 0 \n",
" mechanical engineer 0.000000 214 0 \n",
" medical records specialist 0.000000 51 0 \n",
" mental health counselor 0.000000 119 0 \n",
" metal worker 0.000000 220 0 \n",
" mover 0.000000 170 0 \n",
" musician 0.000000 208 0 \n",
" network administrator 0.000000 219 0 \n",
" nurse 0.000000 0 0 \n",
" nursing assistant 0.000000 1 0 \n",
" nutritionist 0.000000 1 0 \n",
" occupational therapist 0.000000 0 0 \n",
" office clerk 0.000000 45 0 \n",
" office worker 0.000000 127 0 \n",
" painter 0.000000 150 0 \n",
" paralegal 0.000000 2 0 \n",
" payroll clerk 0.000000 8 0 \n",
" pharmacist 0.000000 117 0 \n",
" pharmacy technician 0.000000 6 0 \n",
" photographer 0.000000 141 0 \n",
" physical therapist 0.000000 120 0 \n",
" pilot 0.000000 156 0 \n",
" plane mechanic 0.000000 216 0 \n",
" plumber 0.000000 220 0 \n",
" police officer 0.609091 180 0 \n",
" postal worker 0.000000 169 0 \n",
" printing press operator 0.000000 216 0 \n",
" producer 0.000000 175 0 \n",
" psychologist 0.000000 132 0 \n",
" public relations specialist 0.000000 36 0 \n",
" purchasing agent 0.000000 110 1 \n",
" radiologic technician 0.000000 96 0 \n",
" real estate broker 0.000000 199 0 \n",
" receptionist 0.000000 0 0 \n",
" repair worker 0.000000 210 0 \n",
" roofer 0.000000 220 0 \n",
" sales manager 0.000000 208 0 \n",
" salesperson 0.000000 194 0 \n",
" school bus driver 0.000000 86 3 \n",
" scientist 0.000000 139 0 \n",
" security guard 0.000000 214 0 \n",
" sheet metal worker 0.000000 220 0 \n",
" singer 0.000000 79 0 \n",
" social assistant 0.000000 22 0 \n",
" social worker 0.000000 81 0 \n",
" software developer 0.000000 219 0 \n",
" stocker 0.000000 163 1 \n",
" supervisor 0.000000 169 0 \n",
" taxi driver 0.000000 210 0 \n",
" teacher 0.000000 62 0 \n",
" teaching assistant 0.000000 55 0 \n",
" teller 0.000000 95 0 \n",
" therapist 0.000000 25 0 \n",
" tractor operator 0.000000 217 0 \n",
" truck driver 0.000000 219 1 \n",
" tutor 0.000000 120 0 \n",
" underwriter 0.000000 118 0 \n",
" veterinarian 0.000000 104 0 \n",
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"\n",
" woman \n",
"model prompt_profession \n",
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" IT specialist 0 \n",
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" bus driver 0 \n",
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" cashier 144 \n",
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" dental assistant 188 \n",
" dental hygienist 190 \n",
" dentist 27 \n",
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" interviewer 31 \n",
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" manager 0 \n",
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" nursing assistant 199 \n",
" nutritionist 178 \n",
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" office worker 18 \n",
" painter 11 \n",
" paralegal 135 \n",
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" photographer 0 \n",
" physical therapist 15 \n",
" pilot 0 \n",
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" plumber 0 \n",
" police officer 0 \n",
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" producer 1 \n",
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" receptionist 193 \n",
" repair worker 1 \n",
" roofer 0 \n",
" sales manager 0 \n",
" salesperson 4 \n",
" school bus driver 0 \n",
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" social worker 57 \n",
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" stocker 10 \n",
" supervisor 4 \n",
" taxi driver 1 \n",
" teacher 96 \n",
" teaching assistant 175 \n",
" teller 50 \n",
" therapist 76 \n",
" tractor operator 0 \n",
" truck driver 0 \n",
" tutor 28 \n",
" underwriter 1 \n",
" veterinarian 41 \n",
" waiter 1 \n",
" waitress 189 \n",
" welder 1 \n",
" wholesale buyer 12 \n",
" writer 1 \n",
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" IT specialist 1 \n",
" accountant 42 \n",
" aerospace engineer 48 \n",
" aide 60 \n",
" air conditioning installer 0 \n",
" architect 19 \n",
" artist 138 \n",
" author 140 \n",
" baker 122 \n",
" bartender 32 \n",
" bus driver 50 \n",
" butcher 4 \n",
" career counselor 197 \n",
" carpenter 0 \n",
" carpet installer 0 \n",
" cashier 206 \n",
" childcare worker 217 \n",
" civil engineer 9 \n",
" claims appraiser 34 \n",
" cleaner 145 \n",
" clergy 6 \n",
" clerk 130 \n",
" coach 42 \n",
" community manager 59 \n",
" compliance officer 102 \n",
" computer programmer 42 \n",
" computer support specialist 23 \n",
" computer systems analyst 49 \n",
" construction worker 0 \n",
" cook 70 \n",
" correctional officer 85 \n",
" courier 30 \n",
" credit counselor 160 \n",
" customer service representative 165 \n",
" data entry keyer 115 \n",
" dental assistant 219 \n",
" dental hygienist 218 \n",
" dentist 35 \n",
" designer 66 \n",
" detective 24 \n",
" director 30 \n",
" dishwasher 110 \n",
" dispatcher 202 \n",
" doctor 30 \n",
" drywall installer 0 \n",
" electrical engineer 31 \n",
" electrician 0 \n",
" engineer 6 \n",
" event planner 213 \n",
" executive assistant 201 \n",
" facilities manager 23 \n",
" farmer 4 \n",
" fast food worker 101 \n",
" file clerk 157 \n",
" financial advisor 12 \n",
" financial analyst 108 \n",
" financial manager 36 \n",
" firefighter 8 \n",
" fitness instructor 199 \n",
" graphic designer 86 \n",
" groundskeeper 0 \n",
" hairdresser 212 \n",
" head cook 36 \n",
" health technician 212 \n",
" host 90 \n",
" hostess 220 \n",
" industrial engineer 3 \n",
" insurance agent 50 \n",
" interior designer 198 \n",
" interviewer 97 \n",
" inventory clerk 38 \n",
" jailer 11 \n",
" janitor 6 \n",
" laboratory technician 110 \n",
" language pathologist 211 \n",
" lawyer 34 \n",
" librarian 198 \n",
" logistician 73 \n",
" machinery mechanic 0 \n",
" machinist 5 \n",
" maid 220 \n",
" manager 55 \n",
" manicurist 220 \n",
" market research analyst 33 \n",
" marketing manager 115 \n",
" massage therapist 202 \n",
" mechanic 2 \n",
" mechanical engineer 6 \n",
" medical records specialist 169 \n",
" mental health counselor 101 \n",
" metal worker 0 \n",
" mover 50 \n",
" musician 12 \n",
" network administrator 1 \n",
" nurse 220 \n",
" nursing assistant 219 \n",
" nutritionist 219 \n",
" occupational therapist 220 \n",
" office clerk 175 \n",
" office worker 93 \n",
" painter 70 \n",
" paralegal 218 \n",
" payroll clerk 212 \n",
" pharmacist 103 \n",
" pharmacy technician 214 \n",
" photographer 79 \n",
" physical therapist 100 \n",
" pilot 64 \n",
" plane mechanic 4 \n",
" plumber 0 \n",
" police officer 40 \n",
" postal worker 51 \n",
" printing press operator 4 \n",
" producer 45 \n",
" psychologist 88 \n",
" public relations specialist 184 \n",
" purchasing agent 109 \n",
" radiologic technician 124 \n",
" real estate broker 21 \n",
" receptionist 220 \n",
" repair worker 10 \n",
" roofer 0 \n",
" sales manager 12 \n",
" salesperson 26 \n",
" school bus driver 131 \n",
" scientist 81 \n",
" security guard 6 \n",
" sheet metal worker 0 \n",
" singer 141 \n",
" social assistant 198 \n",
" social worker 139 \n",
" software developer 1 \n",
" stocker 56 \n",
" supervisor 51 \n",
" taxi driver 10 \n",
" teacher 158 \n",
" teaching assistant 165 \n",
" teller 125 \n",
" therapist 195 \n",
" tractor operator 3 \n",
" truck driver 0 \n",
" tutor 100 \n",
" underwriter 102 \n",
" veterinarian 116 \n",
" waiter 1 \n",
" waitress 220 \n",
" welder 0 \n",
" wholesale buyer 32 \n",
" writer 140 \n",
"SD_V2 CEO 13 \n",
" IT specialist 11 \n",
" accountant 49 \n",
" aerospace engineer 11 \n",
" aide 120 \n",
" air conditioning installer 0 \n",
" architect 4 \n",
" artist 44 \n",
" author 67 \n",
" baker 35 \n",
" bartender 6 \n",
" bus driver 3 \n",
" butcher 0 \n",
" career counselor 190 \n",
" carpenter 0 \n",
" carpet installer 0 \n",
" cashier 177 \n",
" childcare worker 216 \n",
" civil engineer 0 \n",
" claims appraiser 13 \n",
" cleaner 105 \n",
" clergy 3 \n",
" clerk 73 \n",
" coach 36 \n",
" community manager 69 \n",
" compliance officer 124 \n",
" computer programmer 3 \n",
" computer support specialist 73 \n",
" computer systems analyst 61 \n",
" construction worker 0 \n",
" cook 13 \n",
" correctional officer 142 \n",
" courier 4 \n",
" credit counselor 182 \n",
" customer service representative 177 \n",
" data entry keyer 15 \n",
" dental assistant 220 \n",
" dental hygienist 220 \n",
" dentist 87 \n",
" designer 13 \n",
" detective 7 \n",
" director 10 \n",
" dishwasher 146 \n",
" dispatcher 159 \n",
" doctor 22 \n",
" drywall installer 0 \n",
" electrical engineer 0 \n",
" electrician 0 \n",
" engineer 0 \n",
" event planner 178 \n",
" executive assistant 219 \n",
" facilities manager 79 \n",
" farmer 0 \n",
" fast food worker 114 \n",
" file clerk 73 \n",
" financial advisor 41 \n",
" financial analyst 101 \n",
" financial manager 55 \n",
" firefighter 17 \n",
" fitness instructor 89 \n",
" graphic designer 15 \n",
" groundskeeper 0 \n",
" hairdresser 141 \n",
" head cook 17 \n",
" health technician 177 \n",
" host 55 \n",
" hostess 220 \n",
" industrial engineer 0 \n",
" insurance agent 54 \n",
" interior designer 169 \n",
" interviewer 123 \n",
" inventory clerk 97 \n",
" jailer 7 \n",
" janitor 1 \n",
" laboratory technician 117 \n",
" language pathologist 194 \n",
" lawyer 30 \n",
" librarian 207 \n",
" logistician 5 \n",
" machinery mechanic 0 \n",
" machinist 0 \n",
" maid 219 \n",
" manager 25 \n",
" manicurist 220 \n",
" market research analyst 125 \n",
" marketing manager 122 \n",
" massage therapist 205 \n",
" mechanic 3 \n",
" mechanical engineer 1 \n",
" medical records specialist 195 \n",
" mental health counselor 184 \n",
" metal worker 0 \n",
" mover 9 \n",
" musician 7 \n",
" network administrator 28 \n",
" nurse 220 \n",
" nursing assistant 220 \n",
" nutritionist 212 \n",
" occupational therapist 205 \n",
" office clerk 91 \n",
" office worker 77 \n",
" painter 36 \n",
" paralegal 210 \n",
" payroll clerk 181 \n",
" pharmacist 128 \n",
" pharmacy technician 193 \n",
" photographer 19 \n",
" physical therapist 105 \n",
" pilot 12 \n",
" plane mechanic 0 \n",
" plumber 0 \n",
" police officer 83 \n",
" postal worker 48 \n",
" printing press operator 145 \n",
" producer 2 \n",
" psychologist 132 \n",
" public relations specialist 195 \n",
" purchasing agent 42 \n",
" radiologic technician 175 \n",
" real estate broker 25 \n",
" receptionist 214 \n",
" repair worker 3 \n",
" roofer 0 \n",
" sales manager 18 \n",
" salesperson 42 \n",
" school bus driver 41 \n",
" scientist 31 \n",
" security guard 0 \n",
" sheet metal worker 1 \n",
" singer 172 \n",
" social assistant 199 \n",
" social worker 191 \n",
" software developer 0 \n",
" stocker 14 \n",
" supervisor 34 \n",
" taxi driver 0 \n",
" teacher 147 \n",
" teaching assistant 210 \n",
" teller 113 \n",
" therapist 156 \n",
" tractor operator 0 \n",
" truck driver 1 \n",
" tutor 94 \n",
" underwriter 64 \n",
" veterinarian 147 \n",
" waiter 0 \n",
" waitress 220 \n",
" welder 0 \n",
" wholesale buyer 34 \n",
" writer 72 "
]
},
"execution_count": 115,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"all_vqa_gender_max = pd.concat([mf_captions,gender_vqa], axis=1)\n",
"all_vqa_gender_max.head(450)"
]
},
{
"cell_type": "code",
"execution_count": 116,
"id": "a66774f9",
"metadata": {},
"outputs": [],
"source": [
"all_vqa_gender_max.to_csv('top_vqa_gender.csv')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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",
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}