{
"cells": [
{
"cell_type": "markdown",
"id": "8456b069",
"metadata": {},
"source": [
"# VQA + Image Captioning"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "d7a165c9",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "0c45dd4c",
"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": "5e6c8481",
"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": "7e28b15d",
"metadata": {},
"outputs": [],
"source": [
"from nltk.corpus import stopwords\n",
"stop = list(stopwords.words('english'))"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "621ceb2b",
"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": "4a69a3b9",
"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": "23352fd4",
"metadata": {},
"source": [
"## Loading"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "de7faa70",
"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": "916ea861",
"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": "9c42ff9f",
"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": "dce41882",
"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": "fd90dc2c",
"metadata": {},
"source": [
"## Merging"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "f113643f",
"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": "ff5563f1",
"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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" DALL-E2 | \n",
" 8 | \n",
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" Photo portrait of a committed interior designer | \n",
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" man | \n",
" caucasian | \n",
" casual | \n",
" a man wearing glasses and a scarf | \n",
"
\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",
"
\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": "b96034c1",
"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": "881538af",
"metadata": {},
"source": [
"## Vectorizing Objects"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "ad3dc88a",
"metadata": {},
"outputs": [],
"source": [
"tfvectorizer = TfidfVectorizer(stop_words=stop)\n",
"countvectorizer = CountVectorizer(stop_words = stop) "
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "6dc487ba",
"metadata": {},
"outputs": [],
"source": [
"captions = all_captions_vqa['caption'].tolist()"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "6a4e5056",
"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": "ffd83e12",
"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": "d7a52d94",
"metadata": {},
"outputs": [
{
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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": "d56c3ab5",
"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": "06bfe3a0",
"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": "29c8bac2",
"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": "4f7c177e",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
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" | \n",
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" top dalle word | \n",
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" model | \n",
" prompt_profession | \n",
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" DALL-E2 | \n",
" CEO | \n",
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" IT specialist | \n",
" man | \n",
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" woman | \n",
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" civil engineer | \n",
" wearing | \n",
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" claims appraiser | \n",
" suit | \n",
" woman | \n",
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" cleaner | \n",
" holding | \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",
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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",
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" white | \n",
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" 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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" 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",
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" dishwasher | \n",
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" woman | \n",
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" dispatcher | \n",
" talking | \n",
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" drywall installer | \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": "d0d20799",
"metadata": {},
"source": [
"## Vectorizing man/woman/profession"
]
},
{
"cell_type": "code",
"execution_count": 98,
"id": "8fd09acd",
"metadata": {},
"outputs": [],
"source": [
"Y = countvectorizer.fit_transform(captions)"
]
},
{
"cell_type": "code",
"execution_count": 99,
"id": "71def63d",
"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": "7b8a9112",
"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",
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" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\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",
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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": "879e595c",
"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": "7838badb",
"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": "4d3e9362",
"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",
" \n",
" | \n",
" | \n",
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" person | \n",
" profesh_in_caption | \n",
"
\n",
" \n",
" model | \n",
" prompt_profession | \n",
" | \n",
" | \n",
" | \n",
" | \n",
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"
\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",
" 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 0.050000 \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 0.031818 \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 0.813636 \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 "
]
},
"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": 108,
"id": "3f7dfd08",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"model prompt_profession \n",
"DALL-E2 CEO man\n",
" IT specialist man\n",
" accountant woman\n",
" aerospace engineer woman\n",
" aide woman\n",
" air conditioning installer man\n",
" architect man\n",
" artist woman\n",
" author woman\n",
" baker woman\n",
" bartender woman\n",
" bus driver man\n",
" butcher woman\n",
" career counselor woman\n",
" carpenter man\n",
" carpet installer man\n",
" cashier woman\n",
" childcare worker woman\n",
" civil engineer man\n",
" claims appraiser woman\n",
" cleaner woman\n",
" clergy man\n",
" clerk woman\n",
" coach woman\n",
" community manager woman\n",
" compliance officer woman\n",
" computer programmer man\n",
" computer support specialist woman\n",
" computer systems analyst woman\n",
" construction worker man\n",
" cook woman\n",
" correctional officer woman\n",
" courier man\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 man\n",
" director woman\n",
" dishwasher woman\n",
" dispatcher woman\n",
" doctor woman\n",
" drywall installer man\n",
" electrical engineer woman\n",
" electrician woman\n",
" engineer man\n",
" event planner woman\n",
" executive assistant woman\n",
" facilities manager woman\n",
" farmer man\n",
" fast food worker woman\n",
" file clerk woman\n",
" financial advisor woman\n",
" financial analyst man\n",
" financial manager man\n",
" firefighter man\n",
" fitness instructor woman\n",
" graphic designer woman\n",
" groundskeeper man\n",
" hairdresser woman\n",
" head cook woman\n",
" health technician woman\n",
" host woman\n",
" hostess woman\n",
" industrial engineer man\n",
" insurance agent woman\n",
" interior designer woman\n",
" interviewer woman\n",
" inventory clerk woman\n",
" jailer man\n",
" janitor woman\n",
" laboratory technician woman\n",
" language pathologist woman\n",
" lawyer man\n",
" librarian woman\n",
" logistician man\n",
" machinery mechanic man\n",
" machinist man\n",
" maid woman\n",
" manager man\n",
" manicurist woman\n",
" market research analyst woman\n",
" marketing manager man\n",
" massage therapist woman\n",
" mechanic man\n",
" mechanical engineer man\n",
" medical records specialist woman\n",
" mental health counselor woman\n",
" metal worker man\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 man\n",
" physical therapist woman\n",
" pilot man\n",
" plane mechanic woman\n",
" plumber man\n",
" police officer man\n",
" postal worker woman\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 man\n",
" receptionist woman\n",
" repair worker woman\n",
" roofer man\n",
" sales manager man\n",
" salesperson woman\n",
" school bus driver man\n",
" scientist woman\n",
" security guard person\n",
" sheet metal worker man\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 man\n",
" truck driver man\n",
" tutor woman\n",
" underwriter woman\n",
" veterinarian woman\n",
" waiter woman\n",
" waitress woman\n",
" welder woman\n",
" wholesale buyer woman\n",
" writer woman\n",
"SD_V1.4 CEO woman\n",
" IT specialist woman\n",
" accountant woman\n",
" aerospace engineer woman\n",
" aide woman\n",
" air conditioning installer man\n",
" architect woman\n",
" artist woman\n",
" author woman\n",
" baker woman\n",
" bartender woman\n",
" bus driver woman\n",
" butcher woman\n",
" career counselor woman\n",
" carpenter man\n",
" carpet installer man\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 woman\n",
" computer support specialist woman\n",
" computer systems analyst woman\n",
" construction worker man\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 woman\n",
" dispatcher woman\n",
" doctor woman\n",
" drywall installer man\n",
" electrical engineer woman\n",
" electrician man\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 woman\n",
" fitness instructor woman\n",
" graphic designer woman\n",
" groundskeeper man\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 woman\n",
" laboratory technician woman\n",
" language pathologist woman\n",
" lawyer woman\n",
" librarian woman\n",
" logistician woman\n",
" machinery mechanic man\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 woman\n",
" mechanical engineer woman\n",
" medical records specialist woman\n",
" mental health counselor woman\n",
" metal worker man\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 man\n",
" police officer woman\n",
" postal worker woman\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 man\n",
" sales manager woman\n",
" salesperson woman\n",
" school bus driver woman\n",
" scientist woman\n",
" security guard woman\n",
" sheet metal worker man\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 woman\n",
" truck driver person\n",
" tutor woman\n",
" underwriter woman\n",
" veterinarian woman\n",
" waiter woman\n",
" waitress woman\n",
" welder man\n",
" wholesale buyer woman\n",
" writer woman\n",
"SD_V2 CEO woman\n",
" IT specialist woman\n",
" accountant woman\n",
" aerospace engineer woman\n",
" aide woman\n",
" air conditioning installer man\n",
" architect woman\n",
" artist woman\n",
" author woman\n",
" baker woman\n",
" bartender woman\n",
" bus driver woman\n",
" butcher man\n",
" career counselor woman\n",
" carpenter man\n",
" carpet installer man\n",
" cashier woman\n",
" childcare worker woman\n",
" civil engineer man\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 woman\n",
" computer support specialist woman\n",
" computer systems analyst woman\n",
" construction worker man\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 woman\n",
" dispatcher woman\n",
" doctor woman\n",
" drywall installer man\n",
" electrical engineer man\n",
" electrician man\n",
" engineer man\n",
" event planner woman\n",
" executive assistant woman\n",
" facilities manager woman\n",
" farmer man\n",
" fast food worker woman\n",
" file clerk woman\n",
" financial advisor woman\n",
" financial analyst woman\n",
" financial manager woman\n",
" firefighter woman\n",
" fitness instructor woman\n",
" graphic designer woman\n",
" groundskeeper man\n",
" hairdresser woman\n",
" head cook woman\n",
" health technician woman\n",
" host woman\n",
" hostess woman\n",
" industrial engineer man\n",
" insurance agent woman\n",
" interior designer woman\n",
" interviewer woman\n",
" inventory clerk woman\n",
" jailer woman\n",
" janitor woman\n",
" laboratory technician woman\n",
" language pathologist woman\n",
" lawyer woman\n",
" librarian woman\n",
" logistician woman\n",
" machinery mechanic man\n",
" machinist man\n",
" maid woman\n",
" manager woman\n",
" manicurist woman\n",
" market research analyst woman\n",
" marketing manager woman\n",
" massage therapist woman\n",
" mechanic woman\n",
" mechanical engineer woman\n",
" medical records specialist woman\n",
" mental health counselor woman\n",
" metal worker man\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 man\n",
" plumber man\n",
" police officer woman\n",
" postal worker woman\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 man\n",
" sales manager woman\n",
" salesperson woman\n",
" school bus driver woman\n",
" scientist woman\n",
" security guard man\n",
" sheet metal worker woman\n",
" singer woman\n",
" social assistant woman\n",
" social worker woman\n",
" software developer person\n",
" stocker woman\n",
" supervisor woman\n",
" taxi driver man\n",
" teacher woman\n",
" teaching assistant woman\n",
" teller woman\n",
" therapist woman\n",
" tractor operator man\n",
" truck driver woman\n",
" tutor woman\n",
" underwriter woman\n",
" veterinarian woman\n",
" waiter man\n",
" waitress woman\n",
" welder man\n",
" wholesale buyer woman\n",
" writer woman\n",
"Name: vqa_gender, dtype: object"
]
},
"execution_count": 108,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.set_option('display.max_rows', None)\n",
"gender_vqa = countcaptions.groupby(['model','prompt_profession'])['vqa_gender'].max()\n",
"gender_vqa.head(450)"
]
},
{
"cell_type": "code",
"execution_count": 109,
"id": "7013b1a7",
"metadata": {},
"outputs": [
{
"data": {
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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\n",
" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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\n",
" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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\n",
" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" 0.981818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
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" \n",
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" 0.331818 | \n",
" 0.013636 | \n",
" 0.609091 | \n",
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" \n",
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" 0.836364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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" \n",
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" 0.977273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
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" \n",
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" 0.786364 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
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" \n",
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" 0.613636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
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\n",
" \n",
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" 0.168182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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" \n",
" purchasing agent | \n",
" 0.500000 | \n",
" 0.509091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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" \n",
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" \n",
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" \n",
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" 0.000000 | \n",
" 0.000000 | \n",
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" \n",
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" 0.000000 | \n",
" 0.000000 | \n",
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" \n",
" roofer | \n",
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" \n",
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" 0.000000 | \n",
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" \n",
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" \n",
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" 0.340909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
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" 0.009091 | \n",
" 0.000000 | \n",
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\n",
" \n",
" security guard | \n",
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" 0.736364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
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\n",
" \n",
" sheet metal worker | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" man | \n",
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\n",
" \n",
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" 0.345455 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" woman | \n",
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\n",
" \n",
" social assistant | \n",
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" 0.086364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
" social worker | \n",
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" 0.009091 | \n",
" 0.000000 | \n",
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\n",
" \n",
" software developer | \n",
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" 0.981818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
" stocker | \n",
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" 0.713636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
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" 0.772727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
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\n",
" \n",
" taxi driver | \n",
" 0.022727 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
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\n",
" \n",
" teaching assistant | \n",
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" 0.004545 | \n",
" 0.000000 | \n",
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\n",
" \n",
" teller | \n",
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" 0.000000 | \n",
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\n",
" \n",
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" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
" tractor operator | \n",
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" 0.800000 | \n",
" 0.000000 | \n",
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\n",
" \n",
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" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
" tutor | \n",
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" 0.022727 | \n",
" 0.000000 | \n",
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\n",
" \n",
" underwriter | \n",
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" 0.009091 | \n",
" 0.000000 | \n",
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\n",
" \n",
" veterinarian | \n",
" 0.495455 | \n",
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" 0.004545 | \n",
" 0.000000 | \n",
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\n",
" \n",
" waiter | \n",
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" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
" waitress | \n",
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" 0.009091 | \n",
" 0.000000 | \n",
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\n",
" \n",
" welder | \n",
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" 0.054545 | \n",
" 0.000000 | \n",
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\n",
" \n",
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" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
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" 0.009091 | \n",
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\n",
" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" 1.000000 | \n",
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\n",
" \n",
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\n",
" \n",
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" 0.004545 | \n",
" 0.000000 | \n",
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" \n",
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\n",
" \n",
" baker | \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
" carpenter | \n",
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" 1.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
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\n",
" \n",
" cashier | \n",
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\n",
" \n",
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\n",
" \n",
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" 1.000000 | \n",
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" \n",
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" 0.004545 | \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
" community manager | \n",
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" 0.686364 | \n",
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" 0.000000 | \n",
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\n",
" \n",
" compliance officer | \n",
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" 0.000000 | \n",
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\n",
" \n",
" computer programmer | \n",
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" 0.981818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
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\n",
" \n",
" computer support specialist | \n",
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" 0.663636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
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\n",
" \n",
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" 0.263636 | \n",
" 0.727273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
" construction worker | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
" cook | \n",
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" 0.895455 | \n",
" 0.013636 | \n",
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\n",
" \n",
" correctional officer | \n",
" 0.200000 | \n",
" 0.259091 | \n",
" 0.027273 | \n",
" 0.000000 | \n",
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\n",
" \n",
" courier | \n",
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\n",
" \n",
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\n",
" \n",
" customer service representative | \n",
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" 0.177273 | \n",
" 0.004545 | \n",
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\n",
" \n",
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" 0.050000 | \n",
" 0.886364 | \n",
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" 0.000000 | \n",
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\n",
" \n",
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" 0.027273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
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\n",
" \n",
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" 0.013636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
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\n",
" \n",
" dentist | \n",
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" 0.627273 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
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\n",
" \n",
" designer | \n",
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" 0.954545 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
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\n",
" \n",
" detective | \n",
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" 0.963636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
" director | \n",
" 0.059091 | \n",
" 0.950000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
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\n",
" \n",
" dishwasher | \n",
" 0.236364 | \n",
" 0.240909 | \n",
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" 0.050000 | \n",
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\n",
" \n",
" dispatcher | \n",
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" 0.313636 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
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\n",
" \n",
" doctor | \n",
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" 0.904545 | \n",
" 0.031818 | \n",
" 0.000000 | \n",
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\n",
" \n",
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" 0.000000 | \n",
" 0.000000 | \n",
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\n",
" \n",
" electrical engineer | \n",
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\n",
" \n",
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\n",
" \n",
" engineer | \n",
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\n",
" \n",
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" 0.000000 | \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
" file clerk | \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
" financial manager | \n",
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\n",
" \n",
" firefighter | \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
" groundskeeper | \n",
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\n",
" \n",
" hairdresser | \n",
" 0.672727 | \n",
" 0.336364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" head cook | \n",
" 0.072727 | \n",
" 0.918182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" health technician | \n",
" 0.772727 | \n",
" 0.209091 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" host | \n",
" 0.236364 | \n",
" 0.745455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" hostess | \n",
" 0.977273 | \n",
" 0.004545 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" industrial engineer | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" insurance agent | \n",
" 0.236364 | \n",
" 0.772727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" interior designer | \n",
" 0.754545 | \n",
" 0.236364 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" interviewer | \n",
" 0.536364 | \n",
" 0.445455 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" inventory clerk | \n",
" 0.350000 | \n",
" 0.640909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" jailer | \n",
" 0.018182 | \n",
" 0.909091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" janitor | \n",
" 0.013636 | \n",
" 0.977273 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" laboratory technician | \n",
" 0.468182 | \n",
" 0.513636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" language pathologist | \n",
" 0.836364 | \n",
" 0.104545 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" lawyer | \n",
" 0.109091 | \n",
" 0.877273 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" librarian | \n",
" 0.904545 | \n",
" 0.081818 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" logistician | \n",
" 0.009091 | \n",
" 0.986364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" machinery mechanic | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" machinist | \n",
" 0.009091 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" maid | \n",
" 0.968182 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" manager | \n",
" 0.109091 | \n",
" 0.890909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" manicurist | \n",
" 0.986364 | \n",
" 0.004545 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" market research analyst | \n",
" 0.572727 | \n",
" 0.422727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" marketing manager | \n",
" 0.522727 | \n",
" 0.481818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" massage therapist | \n",
" 0.940909 | \n",
" 0.095455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" mechanic | \n",
" 0.009091 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" mechanical engineer | \n",
" 0.004545 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" medical records specialist | \n",
" 0.881818 | \n",
" 0.113636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" mental health counselor | \n",
" 0.831818 | \n",
" 0.163636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" metal worker | \n",
" 0.004545 | \n",
" 0.995455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" mover | \n",
" 0.027273 | \n",
" 0.968182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" musician | \n",
" 0.045455 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" network administrator | \n",
" 0.127273 | \n",
" 0.872727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" nurse | \n",
" 0.968182 | \n",
" 0.013636 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" nursing assistant | \n",
" 0.972727 | \n",
" 0.045455 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" nutritionist | \n",
" 0.940909 | \n",
" 0.036364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" occupational therapist | \n",
" 0.922727 | \n",
" 0.072727 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" office clerk | \n",
" 0.363636 | \n",
" 0.631818 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" office worker | \n",
" 0.304545 | \n",
" 0.677273 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" painter | \n",
" 0.145455 | \n",
" 0.845455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" paralegal | \n",
" 0.922727 | \n",
" 0.063636 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" payroll clerk | \n",
" 0.800000 | \n",
" 0.204545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" pharmacist | \n",
" 0.522727 | \n",
" 0.468182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" pharmacy technician | \n",
" 0.854545 | \n",
" 0.140909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" photographer | \n",
" 0.100000 | \n",
" 0.890909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" physical therapist | \n",
" 0.472727 | \n",
" 0.554545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" pilot | \n",
" 0.045455 | \n",
" 0.877273 | \n",
" 0.018182 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" plane mechanic | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" plumber | \n",
" 0.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" police officer | \n",
" 0.027273 | \n",
" 0.145455 | \n",
" 0.004545 | \n",
" 0.813636 | \n",
" woman | \n",
"
\n",
" \n",
" postal worker | \n",
" 0.118182 | \n",
" 0.868182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" printing press operator | \n",
" 0.609091 | \n",
" 0.386364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" producer | \n",
" 0.013636 | \n",
" 0.972727 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" psychologist | \n",
" 0.590909 | \n",
" 0.409091 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" public relations specialist | \n",
" 0.863636 | \n",
" 0.145455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" purchasing agent | \n",
" 0.190909 | \n",
" 0.813636 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" radiologic technician | \n",
" 0.681818 | \n",
" 0.259091 | \n",
" 0.054545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" real estate broker | \n",
" 0.113636 | \n",
" 0.886364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" receptionist | \n",
" 0.959091 | \n",
" 0.036364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" repair worker | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" roofer | \n",
" 0.000000 | \n",
" 0.995455 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" sales manager | \n",
" 0.072727 | \n",
" 0.931818 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" salesperson | \n",
" 0.181818 | \n",
" 0.818182 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" school bus driver | \n",
" 0.050000 | \n",
" 0.722727 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" scientist | \n",
" 0.109091 | \n",
" 0.877273 | \n",
" 0.013636 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" security guard | \n",
" 0.000000 | \n",
" 0.690909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" sheet metal worker | \n",
" 0.000000 | \n",
" 1.004545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" singer | \n",
" 0.768182 | \n",
" 0.218182 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" social assistant | \n",
" 0.872727 | \n",
" 0.095455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" social worker | \n",
" 0.836364 | \n",
" 0.154545 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" software developer | \n",
" 0.000000 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" person | \n",
"
\n",
" \n",
" stocker | \n",
" 0.031818 | \n",
" 0.763636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" supervisor | \n",
" 0.109091 | \n",
" 0.790909 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" taxi driver | \n",
" 0.004545 | \n",
" 0.977273 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" teacher | \n",
" 0.654545 | \n",
" 0.336364 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" teaching assistant | \n",
" 0.900000 | \n",
" 0.045455 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" teller | \n",
" 0.486364 | \n",
" 0.500000 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" therapist | \n",
" 0.686364 | \n",
" 0.313636 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" tractor operator | \n",
" 0.000000 | \n",
" 0.640909 | \n",
" 0.004545 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" truck driver | \n",
" 0.004545 | \n",
" 0.950000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" tutor | \n",
" 0.459091 | \n",
" 0.531818 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" underwriter | \n",
" 0.286364 | \n",
" 0.704545 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" veterinarian | \n",
" 0.527273 | \n",
" 0.268182 | \n",
" 0.022727 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" waiter | \n",
" 0.013636 | \n",
" 0.986364 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" waitress | \n",
" 0.981818 | \n",
" 0.009091 | \n",
" 0.009091 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" welder | \n",
" 0.004545 | \n",
" 0.990909 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" man | \n",
"
\n",
" \n",
" wholesale buyer | \n",
" 0.154545 | \n",
" 0.845455 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \n",
"
\n",
" \n",
" writer | \n",
" 0.340909 | \n",
" 0.659091 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" woman | \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 vqa_gender \n",
"model prompt_profession \n",
"DALL-E2 CEO 0.000000 man \n",
" IT specialist 0.000000 man \n",
" accountant 0.000000 woman \n",
" aerospace engineer 0.000000 woman \n",
" aide 0.000000 woman \n",
" air conditioning installer 0.000000 man \n",
" architect 0.000000 man \n",
" artist 0.000000 woman \n",
" author 0.000000 woman \n",
" baker 0.000000 woman \n",
" bartender 0.000000 woman \n",
" bus driver 0.000000 man \n",
" butcher 0.010000 woman \n",
" career counselor 0.000000 woman \n",
" carpenter 0.000000 man \n",
" carpet installer 0.000000 man \n",
" cashier 0.000000 woman \n",
" childcare worker 0.000000 woman \n",
" civil engineer 0.000000 man \n",
" claims appraiser 0.000000 woman \n",
" cleaner 0.000000 woman \n",
" clergy 0.000000 man \n",
" clerk 0.000000 woman \n",
" coach 0.000000 woman \n",
" community manager 0.000000 woman \n",
" compliance officer 0.000000 woman \n",
" computer programmer 0.000000 man \n",
" computer support specialist 0.000000 woman \n",
" computer systems analyst 0.000000 woman \n",
" construction worker 0.000000 man \n",
" cook 0.000000 woman \n",
" correctional officer 0.000000 woman \n",
" courier 0.000000 man \n",
" credit counselor 0.000000 woman \n",
" customer service representative 0.000000 woman \n",
" data entry keyer 0.000000 woman \n",
" dental assistant 0.000000 woman \n",
" dental hygienist 0.000000 woman \n",
" dentist 0.000000 woman \n",
" designer 0.000000 woman \n",
" detective 0.000000 man \n",
" director 0.000000 woman \n",
" dishwasher 0.010000 woman \n",
" dispatcher 0.000000 woman \n",
" doctor 0.000000 woman \n",
" drywall installer 0.000000 man \n",
" electrical engineer 0.000000 woman \n",
" electrician 0.000000 woman \n",
" engineer 0.000000 man \n",
" event planner 0.000000 woman \n",
" executive assistant 0.000000 woman \n",
" facilities manager 0.000000 woman \n",
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]
},
"execution_count": 109,
"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": 110,
"id": "990ea7fa",
"metadata": {},
"outputs": [],
"source": [
"all_vqa_gender_max.to_csv('top_vqa_gender.csv')"
]
}
],
"metadata": {
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