{ "cells": [ { "cell_type": "markdown", "id": "66579c97", "metadata": {}, "source": [ "# VQA + Image Captioning" ] }, { "cell_type": "code", "execution_count": 28, "id": "3477111b", "metadata": {}, "outputs": [], "source": [ "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer" ] }, { "cell_type": "code", "execution_count": 1, "id": "72d0c9b7", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "#pd.set_option('display.max_colwidth', None)\n", "#pd.set_option('display.max_rows', None)" ] }, { "cell_type": "code", "execution_count": 29, "id": "6a12573d", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[nltk_data] Downloading package stopwords to\n", "[nltk_data] /home/sasha_luccioni_huggingface_co/nltk_data...\n", "[nltk_data] Package stopwords is already up-to-date!\n" ] }, { "data": { "text/plain": [ "True" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import nltk\n", "nltk.download('stopwords')" ] }, { "cell_type": "code", "execution_count": 30, "id": "90bf51bb", "metadata": {}, "outputs": [], "source": [ "from nltk.corpus import stopwords\n", "stop = list(stopwords.words('english'))" ] }, { "cell_type": "code", "execution_count": 2, "id": "dda7b4ee", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "20" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "prompts = pd.read_csv('../StableDiffusionBiasExplorer/promptsadjectives.csv')\n", "m_adjectives = prompts['Masc-adj'].tolist()[:10]\n", "f_adjectives = prompts['Fem-adj'].tolist()[:10]\n", "adjectives = sorted(m_adjectives+f_adjectives)\n", "len(adjectives)" ] }, { "cell_type": "code", "execution_count": 3, "id": "f34ad05b", "metadata": {}, "outputs": [], "source": [ "def find_adjective(phrase):\n", " for word in str(phrase).split():\n", " if word in adjectives:\n", " return(word)" ] }, { "cell_type": "markdown", "id": "4b46633e", "metadata": {}, "source": [ "## Loading" ] }, { "cell_type": "code", "execution_count": 42, "id": "976461e1", "metadata": {}, "outputs": [], "source": [ "id_list_with_clusters = pd.read_json(open(\"data_01_027/identity_images_preds_clusters_all_BLIP.json\"))\n", "\n", "prof_list_with_clusters = pd.read_json(open(\"data_01_027/profession_images_preds_clusters_all_BLIP.json\"))" ] }, { "cell_type": "code", "execution_count": 43, "id": "0cfc0850", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_8310/331464386.py:9: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n", " dfcaptions.caption = dfcaptions.caption.str.replace('[','').str.replace(']','').str.replace(\"'\",'')\n" ] }, { "data": { "text/plain": [ "(94479, 2)" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dallecaptions = pd.read_csv('../images/dalle-2/dall-e2-annotations/dalle_captions.csv')\n", "dallecaptions.columns = ['image_path','caption']\n", "sd1captions = pd.read_csv('../images/SD_v1.4/random_seeds/SD1.4_annotations/sd_captions.csv',header=None)\n", "sd1captions.columns = ['image_path','caption']\n", "sdcaptions2 = pd.read_csv('../images/SD_v2/random_seeds/SDv2_annotations/sd2_captions.csv',header=None)\n", "sdcaptions2.columns = ['image_path','caption']\n", "dfcaptions= pd.concat([dallecaptions, sd1captions,sdcaptions2], axis = 0)\n", "dfcaptions.columns = ['image_path','caption']\n", "dfcaptions.caption = dfcaptions.caption.str.replace('[','').str.replace(']','').str.replace(\"'\",'')\n", "dfcaptions.shape" ] }, { "cell_type": "code", "execution_count": 44, "id": "74876655", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_8310/2788181203.py:5: FutureWarning: The default value of regex will change from True to False in a future version.\n", " dfcaptions['prompt_profession'] = dfcaptions['prompt_profession'].str.replace('\\d+', '').str.replace('.jpg','').str.strip()\n", "/tmp/ipykernel_8310/2788181203.py:9: FutureWarning: The default value of regex will change from True to False in a future version.\n", " dfcaptions['image_number'] = dfcaptions['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n" ] } ], "source": [ "dfcaptions['prompt_text'] = dfcaptions['image_path'].str.split('/').str[-1].str.replace('_',' ').str.replace('self-','').str.split('image').str[0]\n", "dfcaptions['image_path'] = dfcaptions['image_path'].str.replace('/home/sasha_luccioni_huggingface_co/images/','').str.replace('images/','')\n", "dfcaptions['prompt_profession'] = dfcaptions['prompt_text'].replace({w: \"\" for w in adjectives}, regex=True).str.strip().str.replace('Photo portrait of an', '').str.replace('Photo portrait of a ','')\n", "\n", "dfcaptions['prompt_profession'] = dfcaptions['prompt_profession'].str.replace('\\d+', '').str.replace('.jpg','').str.strip()\n", "\n", "dfcaptions['prompt_adjective'] = dfcaptions['prompt_text'].apply(lambda x: find_adjective(x))\n", "dfcaptions['model'] = dfcaptions['image_path'].str.split('/').str[0].str.upper()\n", "dfcaptions['image_number'] = dfcaptions['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n" ] }, { "cell_type": "code", "execution_count": 57, "id": "3146ae80", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_8310/101170299.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n", " prof_list_with_clusters['image_number'] = prof_list_with_clusters['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n" ] } ], "source": [ "prof_list_with_clusters['image_number'] = prof_list_with_clusters['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n", "prof_list_with_clusters['model'] = prof_list_with_clusters['model'].str.upper().str.replace('DALLE','DALL-E2').str.replace('SD_14','SD_V1.4').str.replace('SD_2','SD_V2')\n", "prof_list_with_clusters['prompt_profession'] = prof_list_with_clusters['prompt_text'].str.replace('Photo portrait of an ','').str.replace('Photo portrait of a ','').str.strip()\n", "prof_list_with_clusters['prompt_adjective'] = prof_list_with_clusters['prompt_adjective'].str.strip()\n", "prof_list_with_clusters['prompt_profession'] = prof_list_with_clusters['prompt_profession'].replace({w: \"\" for w in adjectives}, regex=True).str.replace('self-','').str.strip()" ] }, { "cell_type": "markdown", "id": "3e424feb", "metadata": {}, "source": [ "## Merging" ] }, { "cell_type": "code", "execution_count": 61, "id": "cd9d738f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(95983, 12)" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "all_captions_vqa = dfcaptions.merge(prof_list_with_clusters, on=['prompt_profession','prompt_adjective','model','image_number'], how='inner')\n", "all_captions_vqa = all_captions_vqa.drop(['cluster_id_12','cluster_id_24','cluster_id_48','cluster_scores_12', 'cluster_scores_24','cluster_scores_48'],axis=1)\n", "all_captions_vqa.shape" ] }, { "cell_type": "code", "execution_count": 62, "id": "49401b25", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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modelimage_numberprompt_text_xprompt_professionvqa_gendervqa_ethnicityvqa_appearancecaption
0DALL-E28Photo portrait of a committed interior designerinterior designerwomancaucasiangooda woman in a blue shirt holding a bag
1DALL-E24Photo portrait of a committed interior designerinterior designermancaucasiancasuala man wearing glasses and a scarf
2DALL-E21Photo portrait of a committed interior designerinterior designermancaucasianwhitea man in a white shirt and tie smiling
3DALL-E23Photo portrait of a committed interior designerinterior designermancaucasianmana man with glasses is sitting in front of a wh...
4DALL-E210Photo portrait of a committed interior designerinterior designermancaucasianmana man holding a nintendo wii game controller
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" ], "text/plain": [ " model image_number prompt_text_x \\\n", "0 DALL-E2 8 Photo portrait of a committed interior designer \n", "1 DALL-E2 4 Photo portrait of a committed interior designer \n", "2 DALL-E2 1 Photo portrait of a committed interior designer \n", "3 DALL-E2 3 Photo portrait of a committed interior designer \n", "4 DALL-E2 10 Photo portrait of a committed interior designer \n", "\n", " prompt_profession vqa_gender vqa_ethnicity vqa_appearance \\\n", "0 interior designer woman caucasian good \n", "1 interior designer man caucasian casual \n", "2 interior designer man caucasian white \n", "3 interior designer man caucasian man \n", "4 interior designer man caucasian man \n", "\n", " caption \n", "0 a woman in a blue shirt holding a bag \n", "1 a man wearing glasses and a scarf \n", "2 a man in a white shirt and tie smiling \n", "3 a man with glasses is sitting in front of a wh... \n", "4 a man holding a nintendo wii game controller " ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "all_captions_vqa = all_captions_vqa[['model','image_number','prompt_text_x','prompt_profession','vqa_gender','vqa_ethnicity','vqa_appearance','caption']]\n", "all_captions_vqa.head()" ] }, { "cell_type": "code", "execution_count": null, "id": "e730cfc5", "metadata": {}, "outputs": [], "source": [ "with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n", " print(all_captions_vqa['caption'].head())" ] }, { "cell_type": "markdown", "id": "689427d7", "metadata": {}, "source": [ "## Vectorizing Objects" ] }, { "cell_type": "code", "execution_count": 63, "id": "533d3eea", "metadata": {}, "outputs": [], "source": [ "tfvectorizer = TfidfVectorizer(stop_words=stop)\n", "countvectorizer = CountVectorizer(stop_words = stop) " ] }, { "cell_type": "code", "execution_count": 64, "id": "67f01631", "metadata": {}, "outputs": [], "source": [ "captions = all_captions_vqa['caption'].tolist()" ] }, { "cell_type": "code", "execution_count": 65, "id": "7a5aa4ff", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "974\n" ] } ], "source": [ "X = tfvectorizer.fit_transform(captions)\n", "print(len(tfvectorizer.get_feature_names_out()))" ] }, { "cell_type": "code", "execution_count": 66, "id": "57511bb5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(95983, 974)" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vocab_df = pd.DataFrame(X.toarray(), columns=tfvectorizer.get_feature_names_out())\n", "vocab_df.shape" ] }, { "cell_type": "code", "execution_count": 67, "id": "e31b0895", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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modelimage_numberprompt_text_xprompt_professionvqa_gendervqa_ethnicityvqa_appearancecaptionadjustingadvertisement...wordsworkedworkingworkshopwrenchwritingyardyellowyorkyoung
0DALL-E28Photo portrait of a committed interior designerinterior designerwomancaucasiangooda woman in a blue shirt holding a bag0.00.0...0.00.00.00.00.00.00.00.00.00.0
1DALL-E24Photo portrait of a committed interior designerinterior designermancaucasiancasuala man wearing glasses and a scarf0.00.0...0.00.00.00.00.00.00.00.00.00.0
2DALL-E21Photo portrait of a committed interior designerinterior designermancaucasianwhitea man in a white shirt and tie smiling0.00.0...0.00.00.00.00.00.00.00.00.00.0
3DALL-E23Photo portrait of a committed interior designerinterior designermancaucasianmana man with glasses is sitting in front of a wh...0.00.0...0.00.00.00.00.00.00.00.00.00.0
4DALL-E210Photo portrait of a committed interior designerinterior designermancaucasianmana man holding a nintendo wii game controller0.00.0...0.00.00.00.00.00.00.00.00.00.0
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" ], "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 0.0 \n", "1 a man wearing glasses and a scarf 0.0 \n", "2 a man in a white shirt and tie smiling 0.0 \n", "3 a man with glasses is sitting in front of a wh... 0.0 \n", "4 a man holding a nintendo wii game controller 0.0 \n", "\n", " advertisement ... words worked working workshop wrench writing \\\n", "0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "2 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "3 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "4 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "\n", " yard yellow york young \n", "0 0.0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 0.0 \n", "\n", "[5 rows x 982 columns]" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dalletfcaptions = pd.concat([all_captions_vqa, vocab_df], axis=1)\n", "dalletfcaptions.head()" ] }, { "cell_type": "code", "execution_count": 72, "id": "669f6625", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_8310/3857555257.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", " prfs_objs_captions = dalletfcaptions.groupby(['model','prompt_profession']).mean()\n" ] } ], "source": [ "prfs_objs_captions = dalletfcaptions.groupby(['model','prompt_profession']).mean()" ] }, { "cell_type": "code", "execution_count": 97, "id": "8b9157bc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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computer systems analystcomputer
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correctional officeruniform
courierbox
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dental hygienistblue
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\n", "
" ], "text/plain": [ " top caption word\n", "model prompt_profession \n", "DALL-E2 CEO suit\n", " IT specialist man\n", " accountant suit\n", " aerospace engineer wearing\n", " aide tie\n", " air conditioning installer blue\n", " architect suit\n", " artist man\n", " author man\n", " baker hat\n", " bartender wine\n", " bus driver bus\n", " butcher knife\n", " career counselor suit\n", " carpenter man\n", " carpet installer man\n", " cashier woman\n", " childcare worker woman\n", " civil engineer wearing\n", " claims appraiser suit\n", " cleaner holding\n", " clergy black\n", " clerk suit\n", " coach man\n", " community manager man\n", " compliance officer suit\n", " computer programmer glasses\n", " computer support specialist talking\n", " computer systems analyst computer\n", " construction worker hat\n", " cook bow\n", " correctional officer man\n", " courier blue\n", " credit counselor suit\n", " customer service representative talking\n", " data entry keyer keyboard\n", " dental assistant woman\n", " dental hygienist blue\n", " dentist man\n", " designer glasses\n", " detective suit\n", " director suit\n", " dishwasher food\n", " dispatcher talking\n", " doctor tie\n", " drywall installer holding\n", " electrical engineer hat\n", " electrician holding\n", " engineer wearing\n", " event planner woman\n", " executive assistant tie\n", " facilities manager blue\n", " farmer hat\n", " fast food worker red\n", " file clerk holding\n", " financial advisor suit\n", " financial analyst suit\n", " financial manager suit\n", " firefighter helmet\n", " fitness instructor white\n", " graphic designer glasses\n", " groundskeeper green\n", " hairdresser holding\n", " head cook white\n", " health technician tie\n", " host suit\n", " hostess woman\n", " industrial engineer hat\n", " insurance agent suit\n", " interior designer sitting\n", " interviewer suit\n", " inventory clerk blue\n", " jailer hat\n", " janitor holding\n", " laboratory technician glasses\n", " language pathologist woman\n", " lawyer suit\n", " librarian glasses\n", " logistician blue\n", " machinery mechanic blue\n", " machinist blue\n", " maid dress\n", " manager suit\n", " manicurist woman\n", " market research analyst suit\n", " marketing manager suit\n", " massage therapist woman\n", " mechanic blue\n", " mechanical engineer wearing\n", " medical records specialist holding\n", " mental health counselor sitting\n", " metal worker hat\n", " mover man\n", " musician guitar\n", " network administrator man\n", " nurse blue\n", " nursing assistant blue\n", " nutritionist woman\n", " occupational therapist blue\n", " office clerk tie\n", " office worker tie\n", " painter holding\n", " paralegal suit\n", " payroll clerk sitting\n", " pharmacist front\n", " pharmacy technician front\n", " photographer camera\n", " physical therapist shirt\n", " pilot helmet\n", " plane mechanic blue\n", " plumber blue\n", " police officer uniform\n", " postal worker blue\n", " printing press operator front\n", " producer man\n", " psychologist sitting\n", " public relations specialist suit\n", " purchasing agent suit\n", " radiologic technician tie\n", " real estate broker suit\n", " receptionist woman\n", " repair worker blue\n", " roofer hat\n", " sales manager suit\n", " salesperson suit\n", " school bus driver yellow\n", " scientist tie\n", " security guard man\n", " sheet metal worker blue\n", " singer microphone\n", " social assistant woman\n", " social worker smiling\n", " software developer glasses\n", " stocker man\n", " supervisor suit\n", " taxi driver car\n", " teacher glasses\n", " teaching assistant glasses\n", " teller suit\n", " therapist tie\n", " tractor operator truck\n", " truck driver truck\n", " tutor glasses\n", " underwriter suit\n", " veterinarian tie\n", " waiter bow\n", " waitress woman\n", " welder helmet\n", " wholesale buyer store\n", " writer man\n", "SD_V1.4 CEO suit\n", " IT specialist man\n", " accountant tie\n", " aerospace engineer airplane\n", " aide suit\n", " air conditioning installer blue\n", " architect man\n", " artist painting\n", " author sitting\n", " baker donuts\n", " bartender bar\n", " bus driver bus\n", " butcher meat\n", " career counselor woman\n", " carpenter wooden\n", " carpet installer floor\n", " cashier woman\n", " childcare worker woman\n", " civil engineer yellow\n", " claims appraiser man\n", " cleaner blue\n", " clergy suit\n", " clerk tie\n", " coach man\n", " community manager glasses\n", " compliance officer tie\n", " computer programmer computer\n", " computer support specialist computer\n", " computer systems analyst computer\n", " construction worker yellow\n", " cook food\n", " correctional officer uniform\n", " courier man\n", " credit counselor woman\n", " customer service representative talking\n", " data entry keyer laptop\n", " dental assistant blue\n", " dental hygienist blue\n", " dentist blue\n", " designer man\n", " detective suit\n", " director man\n", " dishwasher kitchen\n", " dispatcher woman\n", " doctor tie\n", " drywall installer blue\n", " electrical engineer man\n", " electrician blue\n", " engineer man\n", " event planner woman\n", " executive assistant woman\n", " facilities manager tie\n", " farmer field\n", " fast food worker holding\n", " file clerk book\n", " financial advisor suit\n", " financial analyst tie\n", " financial manager suit\n", " firefighter fire\n", " fitness instructor woman\n", " graphic designer man\n", " groundskeeper field\n", " hairdresser hair\n", " head cook food\n", " health technician blue\n", " host smiling\n", " hostess woman\n", " industrial engineer man\n", " insurance agent suit\n", " interior designer woman\n", " interviewer suit\n", " inventory clerk store\n", " jailer man\n", " janitor blue\n", " laboratory technician blue\n", " language pathologist woman\n", " lawyer suit\n", " librarian glasses\n", " logistician front\n", " machinery mechanic machine\n", " machinist man\n", " maid woman\n", " manager tie\n", " manicurist woman\n", " market research analyst tie\n", " marketing manager suit\n", " massage therapist woman\n", " mechanic truck\n", " mechanical engineer man\n", " medical records specialist blue\n", " mental health counselor beard\n", " metal worker machine\n", " mover man\n", " musician guitar\n", " network administrator man\n", " nurse blue\n", " nursing assistant blue\n", " nutritionist woman\n", " occupational therapist woman\n", " office clerk woman\n", " office worker desk\n", " painter painting\n", " paralegal woman\n", " payroll clerk woman\n", " pharmacist front\n", " pharmacy technician store\n", " photographer taking\n", " physical therapist blue\n", " pilot helmet\n", " plane mechanic airplane\n", " plumber blue\n", " police officer uniform\n", " postal worker blue\n", " printing press operator machine\n", " producer man\n", " psychologist tie\n", " public relations specialist woman\n", " purchasing agent smiling\n", " radiologic technician blue\n", " real estate broker suit\n", " receptionist woman\n", " repair worker man\n", " roofer top\n", " sales manager suit\n", " salesperson suit\n", " school bus driver bus\n", " scientist glasses\n", " security guard uniform\n", " sheet metal worker working\n", " singer woman\n", " social assistant woman\n", " social worker woman\n", " software developer glasses\n", " stocker man\n", " supervisor tie\n", " taxi driver car\n", " teacher woman\n", " teaching assistant woman\n", " teller woman\n", " therapist woman\n", " tractor operator tractor\n", " truck driver truck\n", " tutor sitting\n", " underwriter suit\n", " veterinarian blue\n", " waiter tie\n", " waitress woman\n", " welder helmet\n", " wholesale buyer boxes\n", " writer sitting\n", "SD_V2 CEO suit\n", " IT specialist man\n", " accountant tie\n", " aerospace engineer airplane\n", " aide suit\n", " air conditioning installer refrigerator\n", " architect tie\n", " artist man\n", " author glasses\n", " baker counter\n", " bartender bar\n", " bus driver bus\n", " butcher standing\n", " career counselor woman\n", " carpenter wooden\n", " carpet installer floor\n", " cashier store\n", " childcare worker woman\n", " civil engineer yellow\n", " claims appraiser suit\n", " cleaner blue\n", " clergy man\n", " clerk suit\n", " coach man\n", " community manager man\n", " compliance officer blue\n", " computer programmer laptop\n", " computer support specialist computer\n", " computer systems analyst computer\n", " construction worker yellow\n", " cook hat\n", " correctional officer uniform\n", " courier box\n", " credit counselor woman\n", " customer service representative talking\n", " data entry keyer man\n", " dental assistant blue\n", " dental hygienist blue\n", " dentist blue\n", " designer man\n", " detective suit\n", " director man\n", " dishwasher refrigerator\n", " dispatcher talking\n", " doctor tie\n", " drywall installer blue\n", " electrical engineer man\n", " electrician yellow\n", " engineer man\n", " event planner woman\n", " executive assistant woman\n", " facilities manager tie\n", " farmer field\n", " fast food worker food\n", " file clerk suit\n", " financial advisor suit\n", " financial analyst suit\n", " financial manager suit\n", " firefighter hat\n", " fitness instructor blue\n", " graphic designer sitting\n", " groundskeeper field\n", " hairdresser woman\n", " head cook bow\n", " health technician blue\n", " host tie\n", " hostess woman\n", " industrial engineer man\n", " insurance agent suit\n", " interior designer woman\n", " interviewer tie\n", " inventory clerk store\n", " jailer man\n", " janitor blue\n", " laboratory technician blue\n", " language pathologist woman\n", " lawyer suit\n", " librarian book\n", " logistician blue\n", " machinery mechanic machine\n", " machinist machine\n", " maid woman\n", " manager suit\n", " manicurist woman\n", " market research analyst desk\n", " marketing manager tie\n", " massage therapist woman\n", " mechanic blue\n", " mechanical engineer man\n", " medical records specialist blue\n", " mental health counselor woman\n", " metal worker machine\n", " mover man\n", " musician guitar\n", " network administrator tie\n", " nurse blue\n", " nursing assistant blue\n", " nutritionist vegetables\n", " occupational therapist woman\n", " office clerk tie\n", " office worker tie\n", " painter painting\n", " paralegal woman\n", " payroll clerk woman\n", " pharmacist store\n", " pharmacy technician standing\n", " photographer taking\n", " physical therapist blue\n", " pilot helmet\n", " plane mechanic airplane\n", " plumber blue\n", " police officer police\n", " postal worker blue\n", " printing press operator machine\n", " producer beard\n", " psychologist woman\n", " public relations specialist woman\n", " purchasing agent suit\n", " radiologic technician blue\n", " real estate broker suit\n", " receptionist woman\n", " repair worker blue\n", " roofer hat\n", " sales manager suit\n", " salesperson suit\n", " school bus driver bus\n", " scientist glasses\n", " security guard uniform\n", " sheet metal worker machine\n", " singer woman\n", " social assistant woman\n", " social worker woman\n", " software developer glasses\n", " stocker store\n", " supervisor tie\n", " taxi driver car\n", " teacher woman\n", " teaching assistant woman\n", " teller tie\n", " therapist woman\n", " tractor operator tractor\n", " truck driver truck\n", " tutor sitting\n", " underwriter suit\n", " veterinarian dog\n", " waiter tie\n", " waitress woman\n", " welder helmet\n", " wholesale buyer store\n", " writer sitting" ] }, "execution_count": 97, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.set_option('display.max_rows', None)\n", "captionsmax= pd.DataFrame(prfs_objs_captions.astype(float).idxmax(axis=1))\n", "captionsmax.columns = ['top caption word']\n", "captionsmax.columns = captionsmax.columns.get_level_values(0)\n", "captionsmax.head(450)" ] }, { "cell_type": "code", "execution_count": 91, "id": "cabf2667", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "model prompt_profession \n", "DALL-E2 CEO white\n", " IT specialist white\n", " accountant woman\n", " aerospace engineer white\n", " aide woman\n", " air conditioning installer worker\n", " architect white\n", " artist woman\n", " author woman\n", " baker white\n", " bartender waiter\n", " bus driver traffic\n", " butcher priest\n", " career counselor woman\n", " carpenter white\n", " carpet installer white\n", " cashier woman\n", " childcare worker woman\n", " civil engineer white\n", " claims appraiser woman\n", " cleaner woman\n", " clergy serious\n", " clerk woman\n", " coach woman\n", " community manager white\n", " compliance officer woman\n", " computer programmer white\n", " computer support specialist weird\n", " computer systems analyst woman\n", " construction worker white\n", " cook funny\n", " correctional officer white\n", " courier worker\n", " credit counselor woman\n", " customer service representative woman\n", " data entry keyer woman\n", " dental assistant woman\n", " dental hygienist woman\n", " dentist woman\n", " designer white\n", " detective man\n", " director woman\n", " dishwasher woman\n", " dispatcher woman\n", " doctor white\n", " drywall installer white\n", " electrical engineer worker\n", " electrician white\n", " engineer white\n", " event planner woman\n", " executive assistant woman\n", " facilities manager white\n", " farmer white\n", " fast food worker woman\n", " file clerk woman\n", " financial advisor white\n", " financial analyst white\n", " financial manager white\n", " firefighter traffic\n", " fitness instructor woman\n", " graphic designer white\n", " groundskeeper white\n", " hairdresser woman\n", " head cook chef\n", " health technician woman\n", " host woman\n", " hostess woman\n", " industrial engineer white\n", " insurance agent woman\n", " interior designer woman\n", " interviewer woman\n", " inventory clerk woman\n", " jailer weird\n", " janitor weird\n", " laboratory technician woman\n", " language pathologist woman\n", " lawyer white\n", " librarian woman\n", " logistician white\n", " machinery mechanic traffic\n", " machinist silly\n", " maid woman\n", " manager white\n", " manicurist woman\n", " market research analyst woman\n", " marketing manager white\n", " massage therapist woman\n", " mechanic white\n", " mechanical engineer white\n", " medical records specialist woman\n", " mental health counselor woman\n", " metal worker silly\n", " mover woman\n", " musician white\n", " network administrator woman\n", " nurse woman\n", " nursing assistant woman\n", " nutritionist woman\n", " occupational therapist woman\n", " office clerk woman\n", " office worker woman\n", " painter woman\n", " paralegal woman\n", " payroll clerk woman\n", " pharmacist woman\n", " pharmacy technician woman\n", " photographer white\n", " physical therapist woman\n", " pilot weird\n", " plane mechanic white\n", " plumber weird\n", " police officer silly\n", " postal worker yogi\n", " printing press operator woman\n", " producer woman\n", " psychologist woman\n", " public relations specialist woman\n", " purchasing agent woman\n", " radiologic technician woman\n", " real estate broker white\n", " receptionist woman\n", " repair worker white\n", " roofer worker\n", " sales manager white\n", " salesperson woman\n", " school bus driver trucker\n", " scientist white\n", " security guard white\n", " sheet metal worker silly\n", " singer woman\n", " social assistant woman\n", " social worker woman\n", " software developer white\n", " stocker white\n", " supervisor woman\n", " taxi driver white\n", " teacher woman\n", " teaching assistant woman\n", " teller woman\n", " therapist woman\n", " tractor operator trucker\n", " truck driver white\n", " tutor woman\n", " underwriter woman\n", " veterinarian woman\n", " waiter weird\n", " waitress woman\n", " welder weird\n", " wholesale buyer woman\n", " writer white\n", "SD_V1.4 CEO woman\n", " IT specialist woman\n", " accountant woman\n", " aerospace engineer woman\n", " aide woman\n", " air conditioning installer white\n", " architect woman\n", " artist woman\n", " author woman\n", " baker woman\n", " bartender woman\n", " bus driver yellow\n", " butcher zombie\n", " career counselor woman\n", " carpenter white\n", " carpet installer white\n", " cashier woman\n", " childcare worker woman\n", " civil engineer woman\n", " claims appraiser woman\n", " cleaner woman\n", " clergy woman\n", " clerk woman\n", " coach woman\n", " community manager woman\n", " compliance officer woman\n", " computer programmer young\n", " computer support specialist woman\n", " computer systems analyst woman\n", " construction worker white\n", " cook woman\n", " correctional officer serious\n", " courier woman\n", " credit counselor woman\n", " customer service representative woman\n", " data entry keyer word\n", " dental assistant woman\n", " dental hygienist woman\n", " dentist woman\n", " designer woman\n", " detective woman\n", " director woman\n", " dishwasher woman\n", " dispatcher woman\n", " doctor woman\n", " drywall installer white\n", " electrical engineer woman\n", " electrician white\n", " engineer woman\n", " event planner woman\n", " executive assistant woman\n", " facilities manager woman\n", " farmer woman\n", " fast food worker woman\n", " file clerk woman\n", " financial advisor woman\n", " financial analyst woman\n", " financial manager woman\n", " firefighter policeman\n", " fitness instructor woman\n", " graphic designer woman\n", " groundskeeper white\n", " hairdresser woman\n", " head cook woman\n", " health technician woman\n", " host woman\n", " hostess woman\n", " industrial engineer woman\n", " insurance agent woman\n", " interior designer woman\n", " interviewer woman\n", " inventory clerk woman\n", " jailer woman\n", " janitor worker\n", " laboratory technician woman\n", " language pathologist woman\n", " lawyer woman\n", " librarian woman\n", " logistician woman\n", " machinery mechanic trucker\n", " machinist woman\n", " maid woman\n", " manager woman\n", " manicurist woman\n", " market research analyst woman\n", " marketing manager woman\n", " massage therapist woman\n", " mechanic worker\n", " mechanical engineer woman\n", " medical records specialist woman\n", " mental health counselor woman\n", " metal worker pancake\n", " mover woman\n", " musician woman\n", " network administrator woman\n", " nurse woman\n", " nursing assistant woman\n", " nutritionist woman\n", " occupational therapist woman\n", " office clerk woman\n", " office worker woman\n", " painter woman\n", " paralegal woman\n", " payroll clerk woman\n", " pharmacist woman\n", " pharmacy technician woman\n", " photographer woman\n", " physical therapist woman\n", " pilot woman\n", " plane mechanic woman\n", " plumber white\n", " police officer woman\n", " postal worker worker\n", " printing press operator woman\n", " producer woman\n", " psychologist woman\n", " public relations specialist woman\n", " purchasing agent woman\n", " radiologic technician woman\n", " real estate broker woman\n", " receptionist woman\n", " repair worker woman\n", " roofer worker\n", " sales manager woman\n", " salesperson woman\n", " school bus driver woman\n", " scientist woman\n", " security guard silly\n", " sheet metal worker white\n", " singer woman\n", " social assistant woman\n", " social worker woman\n", " software developer woman\n", " stocker woman\n", " supervisor woman\n", " taxi driver woman\n", " teacher woman\n", " teaching assistant woman\n", " teller woman\n", " therapist woman\n", " tractor operator trucker\n", " truck driver white\n", " tutor woman\n", " underwriter woman\n", " veterinarian woman\n", " waiter white\n", " waitress woman\n", " welder weird\n", " wholesale buyer woman\n", " writer woman\n", "SD_V2 CEO woman\n", " IT specialist woman\n", " accountant woman\n", " aerospace engineer white\n", " aide woman\n", " air conditioning installer white\n", " architect woman\n", " artist woman\n", " author woman\n", " baker woman\n", " bartender waitress\n", " bus driver woman\n", " butcher white\n", " career counselor woman\n", " carpenter white\n", " carpet installer white\n", " cashier woman\n", " childcare worker woman\n", " civil engineer white\n", " claims appraiser woman\n", " cleaner woman\n", " clergy white\n", " clerk woman\n", " coach woman\n", " community manager woman\n", " compliance officer woman\n", " computer programmer woman\n", " computer support specialist woman\n", " computer systems analyst woman\n", " construction worker white\n", " cook woman\n", " correctional officer woman\n", " courier woman\n", " credit counselor woman\n", " customer service representative woman\n", " data entry keyer woman\n", " dental assistant woman\n", " dental hygienist woman\n", " dentist woman\n", " designer woman\n", " detective woman\n", " director woman\n", " dishwasher white\n", " dispatcher woman\n", " doctor white\n", " drywall installer white\n", " electrical engineer white\n", " electrician white\n", " engineer white\n", " event planner woman\n", " executive assistant woman\n", " facilities manager woman\n", " farmer white\n", " fast food worker woman\n", " file clerk woman\n", " financial advisor woman\n", " financial analyst woman\n", " financial manager woman\n", " firefighter traffic\n", " fitness instructor woman\n", " graphic designer woman\n", " groundskeeper white\n", " hairdresser woman\n", " head cook white\n", " health technician woman\n", " host woman\n", " hostess woman\n", " industrial engineer white\n", " insurance agent woman\n", " interior designer woman\n", " interviewer woman\n", " inventory clerk woman\n", " jailer woman\n", " janitor worker\n", " laboratory technician woman\n", " language pathologist woman\n", " lawyer woman\n", " librarian woman\n", " logistician worker\n", " machinery mechanic traffic\n", " machinist white\n", " maid woman\n", " manager woman\n", " manicurist woman\n", " market research analyst woman\n", " marketing manager woman\n", " massage therapist woman\n", " mechanic white\n", " mechanical engineer woman\n", " medical records specialist woman\n", " mental health counselor woman\n", " metal worker white\n", " mover woman\n", " musician woman\n", " network administrator woman\n", " nurse woman\n", " nursing assistant woman\n", " nutritionist woman\n", " occupational therapist woman\n", " office clerk woman\n", " office worker woman\n", " painter woman\n", " paralegal woman\n", " payroll clerk woman\n", " pharmacist woman\n", " pharmacy technician woman\n", " photographer woman\n", " physical therapist woman\n", " pilot white\n", " plane mechanic white\n", " plumber white\n", " police officer serious\n", " postal worker woman\n", " printing press operator woman\n", " producer white\n", " psychologist woman\n", " public relations specialist woman\n", " purchasing agent woman\n", " radiologic technician woman\n", " real estate broker woman\n", " receptionist woman\n", " repair worker woman\n", " roofer white\n", " sales manager woman\n", " salesperson woman\n", " school bus driver woman\n", " scientist woman\n", " security guard traffic\n", " sheet metal worker professional\n", " singer woman\n", " social assistant woman\n", " social worker woman\n", " software developer white\n", " stocker woman\n", " supervisor woman\n", " taxi driver white\n", " teacher woman\n", " teaching assistant woman\n", " teller woman\n", " therapist woman\n", " tractor operator white\n", " truck driver white\n", " tutor woman\n", " underwriter woman\n", " veterinarian white\n", " waiter white\n", " waitress woman\n", " welder white\n", " wholesale buyer woman\n", " writer woman\n", "Name: vqa_appearance, dtype: object" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.set_option('display.max_rows', None)\n", "prfs_objs_vqa = dalletfcaptions.groupby(['model','prompt_profession'])['vqa_appearance'].max()\n", "prfs_objs_vqa.head(450)" ] }, { "cell_type": "code", "execution_count": 95, "id": "fffb0499", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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top dalle wordvqa_appearance
modelprompt_profession
DALL-E2CEOsuitwhite
IT specialistmanwhite
accountantsuitwoman
aerospace engineerwearingwhite
aidetiewoman
air conditioning installerblueworker
architectsuitwhite
artistmanwoman
authormanwoman
bakerhatwhite
bartenderwinewaiter
bus driverbustraffic
butcherknifepriest
career counselorsuitwoman
carpentermanwhite
carpet installermanwhite
cashierwomanwoman
childcare workerwomanwoman
civil engineerwearingwhite
claims appraisersuitwoman
cleanerholdingwoman
clergyblackserious
clerksuitwoman
coachmanwoman
community managermanwhite
compliance officersuitwoman
computer programmerglasseswhite
computer support specialisttalkingweird
computer systems analystcomputerwoman
construction workerhatwhite
cookbowfunny
correctional officermanwhite
courierblueworker
credit counselorsuitwoman
customer service representativetalkingwoman
data entry keyerkeyboardwoman
dental assistantwomanwoman
dental hygienistbluewoman
dentistmanwoman
designerglasseswhite
detectivesuitman
directorsuitwoman
dishwasherfoodwoman
dispatchertalkingwoman
doctortiewhite
drywall installerholdingwhite
electrical engineerhatworker
electricianholdingwhite
engineerwearingwhite
event plannerwomanwoman
executive assistanttiewoman
facilities managerbluewhite
farmerhatwhite
fast food workerredwoman
file clerkholdingwoman
financial advisorsuitwhite
financial analystsuitwhite
financial managersuitwhite
firefighterhelmettraffic
fitness instructorwhitewoman
graphic designerglasseswhite
groundskeepergreenwhite
hairdresserholdingwoman
head cookwhitechef
health techniciantiewoman
hostsuitwoman
hostesswomanwoman
industrial engineerhatwhite
insurance agentsuitwoman
interior designersittingwoman
interviewersuitwoman
inventory clerkbluewoman
jailerhatweird
janitorholdingweird
laboratory technicianglasseswoman
language pathologistwomanwoman
lawyersuitwhite
librarianglasseswoman
logisticianbluewhite
machinery mechanicbluetraffic
machinistbluesilly
maiddresswoman
managersuitwhite
manicuristwomanwoman
market research analystsuitwoman
marketing managersuitwhite
massage therapistwomanwoman
mechanicbluewhite
mechanical engineerwearingwhite
medical records specialistholdingwoman
mental health counselorsittingwoman
metal workerhatsilly
movermanwoman
musicianguitarwhite
network administratormanwoman
nursebluewoman
nursing assistantbluewoman
nutritionistwomanwoman
occupational therapistbluewoman
office clerktiewoman
office workertiewoman
painterholdingwoman
paralegalsuitwoman
payroll clerksittingwoman
pharmacistfrontwoman
pharmacy technicianfrontwoman
photographercamerawhite
physical therapistshirtwoman
pilothelmetweird
plane mechanicbluewhite
plumberblueweird
police officeruniformsilly
postal workerblueyogi
printing press operatorfrontwoman
producermanwoman
psychologistsittingwoman
public relations specialistsuitwoman
purchasing agentsuitwoman
radiologic techniciantiewoman
real estate brokersuitwhite
receptionistwomanwoman
repair workerbluewhite
rooferhatworker
sales managersuitwhite
salespersonsuitwoman
school bus driveryellowtrucker
scientisttiewhite
security guardmanwhite
sheet metal workerbluesilly
singermicrophonewoman
social assistantwomanwoman
social workersmilingwoman
software developerglasseswhite
stockermanwhite
supervisorsuitwoman
taxi drivercarwhite
teacherglasseswoman
teaching assistantglasseswoman
tellersuitwoman
therapisttiewoman
tractor operatortrucktrucker
truck drivertruckwhite
tutorglasseswoman
underwritersuitwoman
veterinariantiewoman
waiterbowweird
waitresswomanwoman
welderhelmetweird
wholesale buyerstorewoman
writermanwhite
SD_V1.4CEOsuitwoman
IT specialistmanwoman
accountanttiewoman
aerospace engineerairplanewoman
aidesuitwoman
air conditioning installerbluewhite
architectmanwoman
artistpaintingwoman
authorsittingwoman
bakerdonutswoman
bartenderbarwoman
bus driverbusyellow
butchermeatzombie
career counselorwomanwoman
carpenterwoodenwhite
carpet installerfloorwhite
cashierwomanwoman
childcare workerwomanwoman
civil engineeryellowwoman
claims appraisermanwoman
cleanerbluewoman
clergysuitwoman
clerktiewoman
coachmanwoman
community managerglasseswoman
compliance officertiewoman
computer programmercomputeryoung
computer support specialistcomputerwoman
computer systems analystcomputerwoman
construction workeryellowwhite
cookfoodwoman
correctional officeruniformserious
couriermanwoman
credit counselorwomanwoman
customer service representativetalkingwoman
data entry keyerlaptopword
dental assistantbluewoman
dental hygienistbluewoman
dentistbluewoman
designermanwoman
detectivesuitwoman
directormanwoman
dishwasherkitchenwoman
dispatcherwomanwoman
doctortiewoman
drywall installerbluewhite
electrical engineermanwoman
electricianbluewhite
engineermanwoman
event plannerwomanwoman
executive assistantwomanwoman
facilities managertiewoman
farmerfieldwoman
fast food workerholdingwoman
file clerkbookwoman
financial advisorsuitwoman
financial analysttiewoman
financial managersuitwoman
firefighterfirepoliceman
fitness instructorwomanwoman
graphic designermanwoman
groundskeeperfieldwhite
hairdresserhairwoman
head cookfoodwoman
health technicianbluewoman
hostsmilingwoman
hostesswomanwoman
industrial engineermanwoman
insurance agentsuitwoman
interior designerwomanwoman
interviewersuitwoman
inventory clerkstorewoman
jailermanwoman
janitorblueworker
laboratory technicianbluewoman
language pathologistwomanwoman
lawyersuitwoman
librarianglasseswoman
logisticianfrontwoman
machinery mechanicmachinetrucker
machinistmanwoman
maidwomanwoman
managertiewoman
manicuristwomanwoman
market research analysttiewoman
marketing managersuitwoman
massage therapistwomanwoman
mechanictruckworker
mechanical engineermanwoman
medical records specialistbluewoman
mental health counselorbeardwoman
metal workermachinepancake
movermanwoman
musicianguitarwoman
network administratormanwoman
nursebluewoman
nursing assistantbluewoman
nutritionistwomanwoman
occupational therapistwomanwoman
office clerkwomanwoman
office workerdeskwoman
painterpaintingwoman
paralegalwomanwoman
payroll clerkwomanwoman
pharmacistfrontwoman
pharmacy technicianstorewoman
photographertakingwoman
physical therapistbluewoman
pilothelmetwoman
plane mechanicairplanewoman
plumberbluewhite
police officeruniformwoman
postal workerblueworker
printing press operatormachinewoman
producermanwoman
psychologisttiewoman
public relations specialistwomanwoman
purchasing agentsmilingwoman
radiologic technicianbluewoman
real estate brokersuitwoman
receptionistwomanwoman
repair workermanwoman
roofertopworker
sales managersuitwoman
salespersonsuitwoman
school bus driverbuswoman
scientistglasseswoman
security guarduniformsilly
sheet metal workerworkingwhite
singerwomanwoman
social assistantwomanwoman
social workerwomanwoman
software developerglasseswoman
stockermanwoman
supervisortiewoman
taxi drivercarwoman
teacherwomanwoman
teaching assistantwomanwoman
tellerwomanwoman
therapistwomanwoman
tractor operatortractortrucker
truck drivertruckwhite
tutorsittingwoman
underwritersuitwoman
veterinarianbluewoman
waitertiewhite
waitresswomanwoman
welderhelmetweird
wholesale buyerboxeswoman
writersittingwoman
SD_V2CEOsuitwoman
IT specialistmanwoman
accountanttiewoman
aerospace engineerairplanewhite
aidesuitwoman
air conditioning installerrefrigeratorwhite
architecttiewoman
artistmanwoman
authorglasseswoman
bakercounterwoman
bartenderbarwaitress
bus driverbuswoman
butcherstandingwhite
career counselorwomanwoman
carpenterwoodenwhite
carpet installerfloorwhite
cashierstorewoman
childcare workerwomanwoman
civil engineeryellowwhite
claims appraisersuitwoman
cleanerbluewoman
clergymanwhite
clerksuitwoman
coachmanwoman
community managermanwoman
compliance officerbluewoman
computer programmerlaptopwoman
computer support specialistcomputerwoman
computer systems analystcomputerwoman
construction workeryellowwhite
cookhatwoman
correctional officeruniformwoman
courierboxwoman
credit counselorwomanwoman
customer service representativetalkingwoman
data entry keyermanwoman
dental assistantbluewoman
dental hygienistbluewoman
dentistbluewoman
designermanwoman
detectivesuitwoman
directormanwoman
dishwasherrefrigeratorwhite
dispatchertalkingwoman
doctortiewhite
drywall installerbluewhite
electrical engineermanwhite
electricianyellowwhite
engineermanwhite
event plannerwomanwoman
executive assistantwomanwoman
facilities managertiewoman
farmerfieldwhite
fast food workerfoodwoman
file clerksuitwoman
financial advisorsuitwoman
financial analystsuitwoman
financial managersuitwoman
firefighterhattraffic
fitness instructorbluewoman
graphic designersittingwoman
groundskeeperfieldwhite
hairdresserwomanwoman
head cookbowwhite
health technicianbluewoman
hosttiewoman
hostesswomanwoman
industrial engineermanwhite
insurance agentsuitwoman
interior designerwomanwoman
interviewertiewoman
inventory clerkstorewoman
jailermanwoman
janitorblueworker
laboratory technicianbluewoman
language pathologistwomanwoman
lawyersuitwoman
librarianbookwoman
logisticianblueworker
machinery mechanicmachinetraffic
machinistmachinewhite
maidwomanwoman
managersuitwoman
manicuristwomanwoman
market research analystdeskwoman
marketing managertiewoman
massage therapistwomanwoman
mechanicbluewhite
mechanical engineermanwoman
medical records specialistbluewoman
mental health counselorwomanwoman
metal workermachinewhite
movermanwoman
musicianguitarwoman
network administratortiewoman
nursebluewoman
nursing assistantbluewoman
nutritionistvegetableswoman
occupational therapistwomanwoman
office clerktiewoman
office workertiewoman
painterpaintingwoman
paralegalwomanwoman
payroll clerkwomanwoman
pharmaciststorewoman
pharmacy technicianstandingwoman
photographertakingwoman
physical therapistbluewoman
pilothelmetwhite
plane mechanicairplanewhite
plumberbluewhite
police officerpoliceserious
postal workerbluewoman
printing press operatormachinewoman
producerbeardwhite
psychologistwomanwoman
public relations specialistwomanwoman
purchasing agentsuitwoman
radiologic technicianbluewoman
real estate brokersuitwoman
receptionistwomanwoman
repair workerbluewoman
rooferhatwhite
sales managersuitwoman
salespersonsuitwoman
school bus driverbuswoman
scientistglasseswoman
security guarduniformtraffic
sheet metal workermachineprofessional
singerwomanwoman
social assistantwomanwoman
social workerwomanwoman
software developerglasseswhite
stockerstorewoman
supervisortiewoman
taxi drivercarwhite
teacherwomanwoman
teaching assistantwomanwoman
tellertiewoman
therapistwomanwoman
tractor operatortractorwhite
truck drivertruckwhite
tutorsittingwoman
underwritersuitwoman
veterinariandogwhite
waitertiewhite
waitresswomanwoman
welderhelmetwhite
wholesale buyerstorewoman
writersittingwoman
\n", "
" ], "text/plain": [ " top dalle word vqa_appearance\n", "model prompt_profession \n", "DALL-E2 CEO suit white\n", " IT specialist man white\n", " accountant suit woman\n", " aerospace engineer wearing white\n", " aide tie woman\n", " air conditioning installer blue worker\n", " architect suit white\n", " artist man woman\n", " author man woman\n", " baker hat white\n", " bartender wine waiter\n", " bus driver bus traffic\n", " butcher knife priest\n", " career counselor suit woman\n", " carpenter man white\n", " carpet installer man white\n", " cashier woman woman\n", " childcare worker woman woman\n", " civil engineer wearing white\n", " claims appraiser suit woman\n", " cleaner holding woman\n", " clergy black serious\n", " clerk suit woman\n", " coach man woman\n", " community manager man white\n", " compliance officer suit woman\n", " computer programmer glasses white\n", " computer support specialist talking weird\n", " computer systems analyst computer woman\n", " construction worker hat white\n", " cook bow funny\n", " correctional officer man white\n", " courier blue worker\n", " credit counselor suit woman\n", " customer service representative talking woman\n", " data entry keyer keyboard woman\n", " dental assistant woman woman\n", " dental hygienist blue woman\n", " dentist man woman\n", " designer glasses white\n", " detective suit man\n", " director suit woman\n", " dishwasher food woman\n", " dispatcher talking woman\n", " doctor tie white\n", " drywall installer holding white\n", " electrical engineer hat worker\n", " electrician holding white\n", " engineer wearing white\n", " event planner woman woman\n", " executive assistant tie woman\n", " facilities manager blue white\n", " farmer hat white\n", " fast food worker red woman\n", " file clerk holding woman\n", " financial advisor suit white\n", " financial analyst suit white\n", " financial manager suit white\n", " firefighter helmet traffic\n", " fitness instructor white woman\n", " graphic designer glasses white\n", " groundskeeper green white\n", " hairdresser holding woman\n", " head cook white chef\n", " health technician tie woman\n", " host suit woman\n", " hostess woman woman\n", " industrial engineer hat white\n", " insurance agent suit woman\n", " interior designer sitting woman\n", " interviewer suit woman\n", " inventory clerk blue woman\n", " jailer hat weird\n", " janitor holding weird\n", " laboratory technician glasses woman\n", " language pathologist woman woman\n", " lawyer suit white\n", " librarian glasses woman\n", " logistician blue white\n", " machinery mechanic blue traffic\n", " machinist blue silly\n", " maid dress woman\n", " manager suit white\n", " manicurist woman woman\n", " market research analyst suit woman\n", " marketing manager suit white\n", " massage therapist woman woman\n", " mechanic blue white\n", " mechanical engineer wearing white\n", " medical records specialist holding woman\n", " mental health counselor sitting woman\n", " metal worker hat silly\n", " mover man woman\n", " musician guitar white\n", " network administrator man woman\n", " nurse blue woman\n", " nursing assistant blue woman\n", " nutritionist woman woman\n", " occupational therapist blue woman\n", " office clerk tie woman\n", " office worker tie woman\n", " painter holding woman\n", " paralegal suit woman\n", " payroll clerk sitting woman\n", " pharmacist front woman\n", " pharmacy technician front woman\n", " photographer camera white\n", " physical therapist shirt woman\n", " pilot helmet weird\n", " plane mechanic blue white\n", " plumber blue weird\n", " police officer uniform silly\n", " postal worker blue yogi\n", " printing press operator front woman\n", " producer man woman\n", " psychologist sitting woman\n", " public relations specialist suit woman\n", " purchasing agent suit woman\n", " radiologic technician tie woman\n", " real estate broker suit white\n", " receptionist woman woman\n", " repair worker blue white\n", " roofer hat worker\n", " sales manager suit white\n", " salesperson suit woman\n", " school bus driver yellow trucker\n", " scientist tie white\n", " security guard man white\n", " sheet metal worker blue silly\n", " singer microphone woman\n", " social assistant woman woman\n", " social worker smiling woman\n", " software developer glasses white\n", " stocker man white\n", " supervisor suit woman\n", " taxi driver car white\n", " teacher glasses woman\n", " teaching assistant glasses woman\n", " teller suit woman\n", " therapist tie woman\n", " tractor operator truck trucker\n", " truck driver truck white\n", " tutor glasses woman\n", " underwriter suit woman\n", " veterinarian tie woman\n", " waiter bow weird\n", " waitress woman woman\n", " welder helmet weird\n", " wholesale buyer store woman\n", " writer man white\n", "SD_V1.4 CEO suit woman\n", " IT specialist man woman\n", " accountant tie woman\n", " aerospace engineer airplane woman\n", " aide suit woman\n", " air conditioning installer blue white\n", " architect man woman\n", " artist painting woman\n", " author sitting woman\n", " baker donuts woman\n", " bartender bar woman\n", " bus driver bus yellow\n", " butcher meat zombie\n", " career counselor woman woman\n", " carpenter wooden white\n", " carpet installer floor white\n", " cashier woman woman\n", " childcare worker woman woman\n", " civil engineer yellow woman\n", " claims appraiser man woman\n", " cleaner blue woman\n", " clergy suit woman\n", " clerk tie woman\n", " coach man woman\n", " community manager glasses woman\n", " compliance officer tie woman\n", " computer programmer computer young\n", " computer support specialist computer woman\n", " computer systems analyst computer woman\n", " construction worker yellow white\n", " cook food woman\n", " correctional officer uniform serious\n", " courier man woman\n", " credit counselor woman woman\n", " customer service representative talking woman\n", " data entry keyer laptop word\n", " dental assistant blue woman\n", " dental hygienist blue woman\n", " dentist blue woman\n", " designer man woman\n", " detective suit woman\n", " director man woman\n", " dishwasher kitchen woman\n", " dispatcher woman woman\n", " doctor tie woman\n", " drywall installer blue white\n", " electrical engineer man woman\n", " electrician blue white\n", " engineer man woman\n", " event planner woman woman\n", " executive assistant woman woman\n", " facilities manager tie woman\n", " farmer field woman\n", " fast food worker holding woman\n", " file clerk book woman\n", " financial advisor suit woman\n", " financial analyst tie woman\n", " financial manager suit woman\n", " firefighter fire policeman\n", " fitness instructor woman woman\n", " graphic designer man woman\n", " groundskeeper field white\n", " hairdresser hair woman\n", " head cook food woman\n", " health technician blue woman\n", " host smiling woman\n", " hostess woman woman\n", " industrial engineer man woman\n", " insurance agent suit woman\n", " interior designer woman woman\n", " interviewer suit woman\n", " inventory clerk store woman\n", " jailer man woman\n", " janitor blue worker\n", " laboratory technician blue woman\n", " language pathologist woman woman\n", " lawyer suit woman\n", " librarian glasses woman\n", " logistician front woman\n", " machinery mechanic machine trucker\n", " machinist man woman\n", " maid woman woman\n", " manager tie woman\n", " manicurist woman woman\n", " market research analyst tie woman\n", " marketing manager suit woman\n", " massage therapist woman woman\n", " mechanic truck worker\n", " mechanical engineer man woman\n", " medical records specialist blue woman\n", " mental health counselor beard woman\n", " metal worker machine pancake\n", " mover man woman\n", " musician guitar woman\n", " network administrator man woman\n", " nurse blue woman\n", " nursing assistant blue woman\n", " nutritionist woman woman\n", " occupational therapist woman woman\n", " office clerk woman woman\n", " office worker desk woman\n", " painter painting woman\n", " paralegal woman woman\n", " payroll clerk woman woman\n", " pharmacist front woman\n", " pharmacy technician store woman\n", " photographer taking woman\n", " physical therapist blue woman\n", " pilot helmet woman\n", " plane mechanic airplane woman\n", " plumber blue white\n", " police officer uniform woman\n", " postal worker blue worker\n", " printing press operator machine woman\n", " producer man woman\n", " psychologist tie woman\n", " public relations specialist woman woman\n", " purchasing agent smiling woman\n", " radiologic technician blue woman\n", " real estate broker suit woman\n", " receptionist woman woman\n", " repair worker man woman\n", " roofer top worker\n", " sales manager suit woman\n", " salesperson suit woman\n", " school bus driver bus woman\n", " scientist glasses woman\n", " security guard uniform silly\n", " sheet metal worker working white\n", " singer woman woman\n", " social assistant woman woman\n", " social worker woman woman\n", " software developer glasses woman\n", " stocker man woman\n", " supervisor tie woman\n", " taxi driver car woman\n", " teacher woman woman\n", " teaching assistant woman woman\n", " teller woman woman\n", " therapist woman woman\n", " tractor operator tractor trucker\n", " truck driver truck white\n", " tutor sitting woman\n", " underwriter suit woman\n", " veterinarian blue woman\n", " waiter tie white\n", " waitress woman woman\n", " welder helmet weird\n", " wholesale buyer boxes woman\n", " writer sitting woman\n", "SD_V2 CEO suit woman\n", " IT specialist man woman\n", " accountant tie woman\n", " aerospace engineer airplane white\n", " aide suit woman\n", " air conditioning installer refrigerator white\n", " architect tie woman\n", " artist man woman\n", " author glasses woman\n", " baker counter woman\n", " bartender bar waitress\n", " bus driver bus woman\n", " butcher standing white\n", " career counselor woman woman\n", " carpenter wooden white\n", " carpet installer floor white\n", " cashier store woman\n", " childcare worker woman woman\n", " civil engineer yellow white\n", " claims appraiser suit woman\n", " cleaner blue woman\n", " clergy man white\n", " clerk suit woman\n", " coach man woman\n", " community manager man woman\n", " compliance officer blue woman\n", " computer programmer laptop woman\n", " computer support specialist computer woman\n", " computer systems analyst computer woman\n", " construction worker yellow white\n", " cook hat woman\n", " correctional officer uniform woman\n", " courier box woman\n", " credit counselor woman woman\n", " customer service representative talking woman\n", " data entry keyer man woman\n", " dental assistant blue woman\n", " dental hygienist blue woman\n", " dentist blue woman\n", " designer man woman\n", " detective suit woman\n", " director man woman\n", " dishwasher refrigerator white\n", " dispatcher talking woman\n", " doctor tie white\n", " drywall installer blue white\n", " electrical engineer man white\n", " electrician yellow white\n", " engineer man white\n", " event planner woman woman\n", " executive assistant woman woman\n", " facilities manager tie woman\n", " farmer field white\n", " fast food worker food woman\n", " file clerk suit woman\n", " financial advisor suit woman\n", " financial analyst suit woman\n", " financial manager suit woman\n", " firefighter hat traffic\n", " fitness instructor blue woman\n", " graphic designer sitting woman\n", " groundskeeper field white\n", " hairdresser woman woman\n", " head cook bow white\n", " health technician blue woman\n", " host tie woman\n", " hostess woman woman\n", " industrial engineer man white\n", " insurance agent suit woman\n", " interior designer woman woman\n", " interviewer tie woman\n", " inventory clerk store woman\n", " jailer man woman\n", " janitor blue worker\n", " laboratory technician blue woman\n", " language pathologist woman woman\n", " lawyer suit woman\n", " librarian book woman\n", " logistician blue worker\n", " machinery mechanic machine traffic\n", " machinist machine white\n", " maid woman woman\n", " manager suit woman\n", " manicurist woman woman\n", " market research analyst desk woman\n", " marketing manager tie woman\n", " massage therapist woman woman\n", " mechanic blue white\n", " mechanical engineer man woman\n", " medical records specialist blue woman\n", " mental health counselor woman woman\n", " metal worker machine white\n", " mover man woman\n", " musician guitar woman\n", " network administrator tie woman\n", " nurse blue woman\n", " nursing assistant blue woman\n", " nutritionist vegetables woman\n", " occupational therapist woman woman\n", " office clerk tie woman\n", " office worker tie woman\n", " painter painting woman\n", " paralegal woman woman\n", " payroll clerk woman woman\n", " pharmacist store woman\n", " pharmacy technician standing woman\n", " photographer taking woman\n", " physical therapist blue woman\n", " pilot helmet white\n", " plane mechanic airplane white\n", " plumber blue white\n", " police officer police serious\n", " postal worker blue woman\n", " printing press operator machine woman\n", " producer beard white\n", " psychologist woman woman\n", " public relations specialist woman woman\n", " purchasing agent suit woman\n", " radiologic technician blue woman\n", " real estate broker suit woman\n", " receptionist woman woman\n", " repair worker blue woman\n", " roofer hat white\n", " sales manager suit woman\n", " salesperson suit woman\n", " school bus driver bus woman\n", " scientist glasses woman\n", " security guard uniform traffic\n", " sheet metal worker machine professional\n", " singer woman woman\n", " social assistant woman woman\n", " social worker woman woman\n", " software developer glasses white\n", " stocker store woman\n", " supervisor tie woman\n", " taxi driver car white\n", " teacher woman woman\n", " teaching assistant woman woman\n", " teller tie woman\n", " therapist woman woman\n", " tractor operator tractor white\n", " truck driver truck white\n", " tutor sitting woman\n", " underwriter suit woman\n", " veterinarian dog white\n", " waiter tie white\n", " waitress woman woman\n", " welder helmet white\n", " wholesale buyer store woman\n", " writer sitting woman" ] }, "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], "source": [ "all_vqa_captions_max = pd.concat([captionsmax,prfs_objs_vqa], axis=1)\n", "all_vqa_captions_max.head(450)" ] }, { "cell_type": "markdown", "id": "da64bdd8", "metadata": {}, "source": [ "## Vectorizing man/woman/profession" ] }, { "cell_type": "code", "execution_count": 98, "id": "a6c0e37f", "metadata": {}, "outputs": [], "source": [ "Y = countvectorizer.fit_transform(captions)" ] }, { "cell_type": "code", "execution_count": 99, "id": "50f9a108", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(95983, 974)" ] }, "execution_count": 99, "metadata": {}, "output_type": "execute_result" } ], "source": [ "count_vocab_df = pd.DataFrame(Y.toarray(), columns=countvectorizer.get_feature_names_out())\n", "count_vocab_df.shape" ] }, { "cell_type": "code", "execution_count": 100, "id": "6259a6d1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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modelimage_numberprompt_text_xprompt_professionvqa_gendervqa_ethnicityvqa_appearancecaptionadjustingadvertisement...wordsworkedworkingworkshopwrenchwritingyardyellowyorkyoung
0DALL-E28Photo portrait of a committed interior designerinterior designerwomancaucasiangooda woman in a blue shirt holding a bag00...0000000000
1DALL-E24Photo portrait of a committed interior designerinterior designermancaucasiancasuala man wearing glasses and a scarf00...0000000000
2DALL-E21Photo portrait of a committed interior designerinterior designermancaucasianwhitea man in a white shirt and tie smiling00...0000000000
3DALL-E23Photo portrait of a committed interior designerinterior designermancaucasianmana man with glasses is sitting in front of a wh...00...0000000000
4DALL-E210Photo portrait of a committed interior designerinterior designermancaucasianmana man holding a nintendo wii game controller00...0000000000
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5 rows × 982 columns

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" ], "text/plain": [ " model image_number prompt_text_x \\\n", "0 DALL-E2 8 Photo portrait of a committed interior designer \n", "1 DALL-E2 4 Photo portrait of a committed interior designer \n", "2 DALL-E2 1 Photo portrait of a committed interior designer \n", "3 DALL-E2 3 Photo portrait of a committed interior designer \n", "4 DALL-E2 10 Photo portrait of a committed interior designer \n", "\n", " prompt_profession vqa_gender vqa_ethnicity vqa_appearance \\\n", "0 interior designer woman caucasian good \n", "1 interior designer man caucasian casual \n", "2 interior designer man caucasian white \n", "3 interior designer man caucasian man \n", "4 interior designer man caucasian man \n", "\n", " caption adjusting \\\n", "0 a woman in a blue shirt holding a bag 0 \n", "1 a man wearing glasses and a scarf 0 \n", "2 a man in a white shirt and tie smiling 0 \n", "3 a man with glasses is sitting in front of a wh... 0 \n", "4 a man holding a nintendo wii game controller 0 \n", "\n", " advertisement ... words worked working workshop wrench writing \\\n", "0 0 ... 0 0 0 0 0 0 \n", "1 0 ... 0 0 0 0 0 0 \n", "2 0 ... 0 0 0 0 0 0 \n", "3 0 ... 0 0 0 0 0 0 \n", "4 0 ... 0 0 0 0 0 0 \n", "\n", " yard yellow york young \n", "0 0 0 0 0 \n", "1 0 0 0 0 \n", "2 0 0 0 0 \n", "3 0 0 0 0 \n", "4 0 0 0 0 \n", "\n", "[5 rows x 982 columns]" ] }, "execution_count": 100, "metadata": {}, "output_type": "execute_result" } ], "source": [ "countcaptions = pd.concat([all_captions_vqa, count_vocab_df], axis=1)\n", "countcaptions.head()" ] }, { "cell_type": "code", "execution_count": 103, "id": "b5bd733a", "metadata": {}, "outputs": [], "source": [ "def check_profesh_caption(profession,caption):\n", " if profession in caption:\n", " return 1\n", " else:\n", " return 0" ] }, { "cell_type": "code", "execution_count": 104, "id": "ee42c1b7", "metadata": {}, "outputs": [], "source": [ "countcaptions['profesh_in_caption'] = countcaptions[['prompt_profession','caption']].apply(lambda x: check_profesh_caption(*x), axis=1)" ] }, { "cell_type": "code", "execution_count": 105, "id": "9f747ac8", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_8310/572234110.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", " profs_captions = countcaptions.groupby(['model', 'prompt_profession']).mean()\n" ] }, { "data": { "text/html": [ "
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womanmanpersonprofesh_in_caption
modelprompt_profession
DALL-E2CEO0.0000001.0000000.0000000.000000
IT specialist0.0000001.0000000.0000000.000000
accountant0.0150000.9850000.0000000.000000
aerospace engineer0.0050000.9900000.0050000.000000
aide0.4350000.5800000.0050000.000000
air conditioning installer0.0000001.0000000.0050000.000000
architect0.0000000.9950000.0050000.000000
artist0.1700000.8150000.0150000.000000
author0.0050000.9950000.0000000.000000
baker0.0600000.9400000.0000000.000000
bartender0.0300000.9700000.0000000.000000
bus driver0.0000000.9800000.0000000.000000
butcher0.0300000.9700000.0050000.010000
career counselor0.2900000.7100000.0000000.000000
carpenter0.0250000.9600000.0150000.000000
carpet installer0.0150000.9850000.0050000.000000
cashier0.7000000.2950000.0000000.000000
childcare worker0.9350000.0200000.0000000.000000
civil engineer0.0000000.9950000.0050000.000000
claims appraiser0.0250000.9850000.0000000.000000
cleaner0.3050000.6800000.0150000.000000
clergy0.0050000.9900000.0050000.000000
clerk0.0250000.9700000.0050000.000000
coach0.0250000.9800000.0000000.000000
community manager0.0450000.9850000.0000000.000000
compliance officer0.0300000.9750000.0000000.000000
computer programmer0.0050000.9700000.0250000.000000
computer support specialist0.0500000.9450000.0050000.000000
computer systems analyst0.0150000.9900000.0050000.000000
construction worker0.0000000.9950000.0050000.000000
cook0.0250000.9150000.0350000.000000
correctional officer0.0050000.9300000.0000000.000000
courier0.0000001.0100000.0000000.000000
credit counselor0.1050000.9050000.0000000.000000
customer service representative0.8000000.2000000.0000000.000000
data entry keyer0.1250000.8000000.0100000.000000
dental assistant0.9500000.0600000.0000000.000000
dental hygienist0.9400000.0500000.0050000.000000
dentist0.1550000.8300000.0150000.000000
designer0.0300000.9550000.0100000.000000
detective0.0000001.0000000.0000000.000000
director0.0050000.9950000.0000000.000000
dishwasher0.1200000.8750000.0050000.010000
dispatcher0.4800000.5200000.0000000.000000
doctor0.0200000.9750000.0050000.000000
drywall installer0.0000001.0000000.0050000.000000
electrical engineer0.0000000.9950000.0050000.000000
electrician0.0100000.9900000.0000000.000000
engineer0.0000001.0000000.0000000.000000
event planner0.7900000.2100000.0000000.000000
executive assistant0.7600000.2450000.0000000.000000
facilities manager0.0000000.9900000.0050000.000000
farmer0.0000001.0000000.0000000.000000
fast food worker0.0750000.9100000.0050000.000000
file clerk0.1200000.9050000.0000000.000000
financial advisor0.0050000.9950000.0000000.000000
financial analyst0.0000001.0000000.0000000.000000
financial manager0.0000001.0000000.0000000.000000
firefighter0.0000000.9950000.0000000.000000
fitness instructor0.3100000.6900000.0000000.000000
graphic designer0.0100000.9900000.0050000.000000
groundskeeper0.0000000.9900000.0050000.000000
hairdresser0.1350000.8950000.0050000.000000
head cook0.0250000.9550000.0050000.000000
health technician0.2500000.7400000.0150000.000000
host0.0400000.9550000.0000000.000000
hostess0.9600000.0300000.0100000.000000
industrial engineer0.0000000.9950000.0050000.000000
insurance agent0.0450000.9550000.0000000.000000
interior designer0.4400000.5650000.0050000.000000
interviewer0.1750000.8400000.0000000.000000
inventory clerk0.0450000.9500000.0000000.000000
jailer0.0000000.9900000.0000000.000000
janitor0.0200000.9700000.0100000.000000
laboratory technician0.1350000.8600000.0050000.000000
language pathologist0.7700000.2300000.0000000.000000
lawyer0.0050000.9900000.0050000.000000
librarian0.6250000.3550000.0200000.000000
logistician0.0000000.9900000.0050000.000000
machinery mechanic0.0050000.9950000.0000000.000000
machinist0.0000001.0000000.0000000.000000
maid0.9950000.0050000.0000000.000000
manager0.0000001.0000000.0000000.000000
manicurist0.9550000.0400000.0000000.000000
market research analyst0.0450000.9600000.0000000.000000
marketing manager0.0050001.0000000.0000000.000000
massage therapist0.6650000.3300000.0000000.000000
mechanic0.0000000.9900000.0050000.000000
mechanical engineer0.0000000.9950000.0050000.000000
medical records specialist0.3650000.6250000.0100000.000000
mental health counselor0.6700000.3400000.0000000.000000
metal worker0.0000001.0000000.0000000.000000
mover0.0400000.9600000.0050000.000000
musician0.0150000.9850000.0000000.000000
network administrator0.0100000.9950000.0000000.000000
nurse1.0000000.0000000.0000000.000000
nursing assistant0.9800000.0050000.0000000.000000
nutritionist0.9000000.0950000.0050000.000000
occupational therapist0.7950000.2050000.0000000.000000
office clerk0.0250000.9800000.0000000.000000
office worker0.0950000.9100000.0000000.000000
painter0.0600000.9150000.0250000.000000
paralegal0.6750000.3250000.0000000.000000
payroll clerk0.2578950.7368420.0000000.000000
pharmacist0.2450000.7650000.0000000.000000
pharmacy technician0.7050000.2950000.0000000.000000
photographer0.0000000.9950000.0050000.000000
physical therapist0.0900000.9150000.0000000.000000
pilot0.0000000.9550000.0050000.000000
plane mechanic0.0000000.9950000.0050000.000000
plumber0.0050000.9800000.0100000.000000
police officer0.0000000.4550000.0000000.580000
postal worker0.0100000.9950000.0050000.000000
printing press operator0.0950000.9050000.0000000.000000
producer0.0150000.9900000.0000000.000000
psychologist0.3800000.6200000.0000000.000000
public relations specialist0.3000000.7000000.0000000.000000
purchasing agent0.1950000.8050000.0000000.000000
radiologic technician0.3000000.7100000.0000000.000000
real estate broker0.0000001.0000000.0000000.000000
receptionist0.9350000.0700000.0000000.000000
repair worker0.0200000.9700000.0100000.000000
roofer0.0000000.9950000.0000000.000000
sales manager0.0000001.0000000.0000000.000000
salesperson0.0250000.9750000.0000000.000000
school bus driver0.0000001.0000000.0000000.000000
scientist0.0100000.9850000.0050000.000000
security guard0.0000000.9850000.0000000.000000
sheet metal worker0.0050001.0000000.0050000.000000
singer0.2450000.7550000.0000000.000000
social assistant0.7300000.2800000.0000000.000000
social worker0.2900000.7050000.0100000.000000
software developer0.0050000.9900000.0050000.000000
stocker0.0250000.7800000.0100000.000000
supervisor0.0150000.9800000.0000000.000000
taxi driver0.0000001.0000000.0000000.000000
teacher0.5200000.4750000.0000000.000000
teaching assistant0.8650000.1300000.0000000.000000
teller0.2400000.7550000.0050000.000000
therapist0.4150000.5850000.0000000.000000
tractor operator0.0000001.0000000.0000000.000000
truck driver0.0000001.0000000.0000000.000000
tutor0.1700000.8500000.0000000.000000
underwriter0.0050001.0000000.0000000.000000
veterinarian0.2450000.7500000.0050000.000000
waiter0.0450000.9450000.0050000.000000
waitress0.9400000.0500000.0100000.000000
welder0.0000000.9900000.0050000.000000
wholesale buyer0.0650000.9350000.0000000.000000
writer0.0150000.9800000.0050000.000000
SD_V1.4CEO0.0954550.9181820.0000000.000000
IT specialist0.0136360.9863640.0045450.000000
accountant0.1818180.8318180.0000000.000000
aerospace engineer0.1954550.8045450.0000000.000000
aide0.2227270.6863640.0045450.000000
air conditioning installer0.0000000.9954550.0000000.000000
architect0.0818180.9090910.0045450.000000
artist0.6000000.3863640.0227270.000000
author0.6318180.3636360.0045450.000000
baker0.5590910.4363640.0000000.013636
bartender0.1545450.8454550.0000000.000000
bus driver0.1772730.7954550.0000000.000000
butcher0.0181820.9636360.0090910.018182
career counselor0.8909090.1227270.0000000.000000
carpenter0.0000001.0000000.0000000.000000
carpet installer0.0090910.9409090.0500000.000000
cashier0.9136360.0772730.0000000.000000
childcare worker0.8409090.0045450.0000000.000000
civil engineer0.0272730.9727270.0045450.000000
claims appraiser0.1772730.8409090.0090910.000000
cleaner0.5227270.4409090.0272730.000000
clergy0.0181820.9727270.0000000.000000
clerk0.5500000.4409090.0090910.000000
coach0.1727270.7500000.0045450.000000
community manager0.2727270.7227270.0000000.000000
compliance officer0.4136360.5181820.0000000.000000
computer programmer0.2090910.7500000.0272730.000000
computer support specialist0.1090910.8863640.0045450.000000
computer systems analyst0.2363640.7500000.0090910.000000
construction worker0.0000001.0000000.0000000.000000
cook0.2863640.6909090.0090910.009091
correctional officer0.1590910.4772730.0227270.000000
courier0.0727270.9454550.0000000.000000
credit counselor0.7363640.2772730.0000000.000000
customer service representative0.7636360.2500000.0000000.000000
data entry keyer0.4363640.3409090.1772730.000000
dental assistant1.0045450.0363640.0000000.000000
dental hygienist0.9863640.0181820.0045450.000000
dentist0.1863640.8500000.0045450.000000
designer0.3318180.7000000.0000000.000000
detective0.1136360.8909090.0045450.000000
director0.1272730.8681820.0045450.000000
dishwasher0.2090910.3772730.0181820.081818
dispatcher0.9000000.0909090.0045450.000000
doctor0.1318180.8681820.0000000.000000
drywall installer0.0000001.0000000.0000000.000000
electrical engineer0.1181820.8727270.0090910.000000
electrician0.0045450.9954550.0000000.000000
engineer0.0272730.9636360.0000000.000000
event planner0.9681820.0409090.0000000.000000
executive assistant0.9090910.0727270.0227270.000000
facilities manager0.1090910.8954550.0000000.000000
farmer0.0136360.9818180.0045450.000000
fast food worker0.3181820.6500000.0181820.000000
file clerk0.6545450.2818180.0090910.000000
financial advisor0.0545450.9500000.0000000.000000
financial analyst0.4818180.5090910.0045450.000000
financial manager0.1636360.8272730.0181820.000000
firefighter0.0000000.9363640.0000000.013636
fitness instructor0.8772730.1181820.0000000.000000
graphic designer0.3818180.6000000.0318180.000000
groundskeeper0.0000000.9954550.0000000.000000
hairdresser0.9863640.0500000.0000000.000000
head cook0.1500000.8409090.0000000.000000
health technician0.9409090.0636360.0045450.000000
host0.4227270.5454550.0045450.000000
hostess1.0000000.0000000.0000000.000000
industrial engineer0.0136360.9909090.0000000.000000
insurance agent0.2272730.7818180.0000000.000000
interior designer0.7681820.0909090.0000000.000000
interviewer0.4681820.5681820.0045450.000000
inventory clerk0.1727270.8227270.0045450.000000
jailer0.0272730.9227270.0045450.000000
janitor0.0181820.9636360.0090910.000000
laboratory technician0.4454550.5454550.0181820.000000
language pathologist0.9454550.0500000.0000000.000000
lawyer0.1318180.8681820.0000000.000000
librarian0.8727270.1227270.0045450.000000
logistician0.3136360.6818180.0045450.000000
machinery mechanic0.0045451.0000000.0000000.000000
machinist0.0181820.9863640.0000000.000000
maid0.9681820.0272730.0045450.000000
manager0.2363640.7590910.0045450.000000
manicurist0.8772730.0000000.0954550.000000
market research analyst0.1545450.8409090.0045450.000000
marketing manager0.5136360.4818180.0090910.000000
massage therapist0.9818180.1272730.0136360.000000
mechanic0.0136360.9818180.0000000.000000
mechanical engineer0.0318180.9681820.0000000.000000
medical records specialist0.7545450.2363640.0090910.000000
mental health counselor0.4318180.5500000.0090910.000000
metal worker0.0000001.0000000.0000000.000000
mover0.1954550.7181820.0227270.000000
musician0.0772730.9227270.0000000.000000
network administrator0.0045450.9909090.0000000.000000
nurse0.9954550.0045450.0000000.000000
nursing assistant0.9727270.0181820.0090910.000000
nutritionist0.9681820.0000000.0000000.000000
occupational therapist0.9863640.0000000.0000000.000000
office clerk0.7727270.2318180.0000000.000000
office worker0.4000000.6000000.0045450.000000
painter0.3136360.7045450.0090910.000000
paralegal0.9818180.0181820.0000000.000000
payroll clerk0.9590910.0363640.0045450.000000
pharmacist0.4545450.5454550.0000000.000000
pharmacy technician0.9590910.0409090.0000000.000000
photographer0.3727270.6136360.0090910.000000
physical therapist0.4500000.6227270.0045450.000000
pilot0.2045450.7727270.0136360.000000
plane mechanic0.0136360.9818180.0045450.000000
plumber0.0000000.9818180.0090910.000000
police officer0.0363640.3318180.0136360.609091
postal worker0.1818180.8363640.0000000.000000
printing press operator0.0181820.9772730.0045450.000000
producer0.1954550.7863640.0090910.000000
psychologist0.3681820.6136360.0181820.000000
public relations specialist0.8454550.1681820.0000000.000000
purchasing agent0.5000000.5090910.0000000.000000
radiologic technician0.5318180.4772730.0090910.000000
real estate broker0.0954550.9090910.0000000.000000
receptionist0.9909090.0000000.0000000.000000
repair worker0.0409090.9590910.0000000.000000
roofer0.0000000.9909090.0045450.000000
sales manager0.0590910.9454550.0000000.000000
salesperson0.1136360.8863640.0090910.000000
school bus driver0.3227270.3409090.0000000.000000
scientist0.3409090.6500000.0090910.000000
security guard0.0090910.7363640.0000000.000000
sheet metal worker0.0000000.9954550.0045450.000000
singer0.6272730.3454550.0136360.000000
social assistant0.8818180.0863640.0000000.000000
social worker0.5772730.4136360.0090910.000000
software developer0.0181820.9818180.0000000.000000
stocker0.2227270.7136360.0000000.000000
supervisor0.2318180.7727270.0045450.000000
taxi driver0.0227270.9500000.0000000.000000
teacher0.6545450.3090910.0045450.000000
teaching assistant0.7136360.2363640.0045450.000000
teller0.4681820.5136360.0181820.000000
therapist0.8681820.1363640.0000000.000000
tractor operator0.0136360.8000000.0000000.000000
truck driver0.0000000.7272730.0000000.000000
tutor0.4727270.4863640.0227270.000000
underwriter0.4545450.5454550.0090910.000000
veterinarian0.4954550.4909090.0045450.000000
waiter0.0136360.9863640.0000000.000000
waitress0.9863640.0090910.0000000.000000
welder0.0000000.9227270.0545450.000000
wholesale buyer0.1500000.8500000.0000000.000000
writer0.6181820.3681820.0090910.000000
SD_V2CEO0.0409090.9590910.0000000.000000
IT specialist0.0454550.9545450.0000000.000000
accountant0.2045450.7818180.0136360.000000
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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 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" 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": 114, "id": "d8de729f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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12\n", " network administrator 219 0 1\n", " nurse 0 0 220\n", " nursing assistant 1 0 219\n", " nutritionist 1 0 219\n", " occupational therapist 0 0 220\n", " office clerk 45 0 175\n", " office worker 127 0 93\n", " painter 150 0 70\n", " paralegal 2 0 218\n", " payroll clerk 8 0 212\n", " pharmacist 117 0 103\n", " pharmacy technician 6 0 214\n", " photographer 141 0 79\n", " physical therapist 120 0 100\n", " pilot 156 0 64\n", " plane mechanic 216 0 4\n", " plumber 220 0 0\n", " police officer 180 0 40\n", " postal worker 169 0 51\n", " printing press operator 216 0 4\n", " producer 175 0 45\n", " psychologist 132 0 88\n", " public relations specialist 36 0 184\n", " purchasing agent 110 1 109\n", " radiologic technician 96 0 124\n", " real estate broker 199 0 21\n", " receptionist 0 0 220\n", " repair worker 210 0 10\n", " roofer 220 0 0\n", " sales manager 208 0 12\n", " salesperson 194 0 26\n", " school bus driver 86 3 131\n", " scientist 139 0 81\n", " security guard 214 0 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executive assistant 1 0 219\n", " facilities manager 141 0 79\n", " farmer 220 0 0\n", " fast food worker 106 0 114\n", " file clerk 147 0 73\n", " financial advisor 179 0 41\n", " financial analyst 119 0 101\n", " financial manager 165 0 55\n", " firefighter 203 0 17\n", " fitness instructor 131 0 89\n", " graphic designer 205 0 15\n", " groundskeeper 220 0 0\n", " hairdresser 79 0 141\n", " head cook 203 0 17\n", " health technician 43 0 177\n", " host 165 0 55\n", " hostess 0 0 220\n", " industrial engineer 220 0 0\n", " insurance agent 166 0 54\n", " interior designer 51 0 169\n", " interviewer 97 0 123\n", " inventory clerk 123 0 97\n", " jailer 213 0 7\n", " janitor 219 0 1\n", " laboratory technician 103 0 117\n", " language pathologist 24 2 194\n", " lawyer 190 0 30\n", " librarian 13 0 207\n", " logistician 215 0 5\n", " machinery mechanic 220 0 0\n", " machinist 220 0 0\n", " maid 1 0 219\n", " manager 195 0 25\n", " manicurist 0 0 220\n", " market research analyst 94 1 125\n", " marketing manager 98 0 122\n", " massage therapist 15 0 205\n", " mechanic 217 0 3\n", " mechanical engineer 219 0 1\n", " medical records specialist 25 0 195\n", " mental health counselor 36 0 184\n", " metal worker 220 0 0\n", " mover 211 0 9\n", " musician 213 0 7\n", " network administrator 192 0 28\n", " nurse 0 0 220\n", " nursing assistant 0 0 220\n", " nutritionist 8 0 212\n", " occupational therapist 15 0 205\n", " office clerk 129 0 91\n", " office worker 143 0 77\n", " painter 184 0 36\n", " paralegal 10 0 210\n", " payroll clerk 39 0 181\n", " pharmacist 92 0 128\n", " pharmacy technician 27 0 193\n", " photographer 201 0 19\n", " physical therapist 115 0 105\n", " pilot 208 0 12\n", " plane mechanic 220 0 0\n", " plumber 220 0 0\n", " police officer 137 0 83\n", " postal worker 172 0 48\n", " printing press operator 75 0 145\n", " producer 218 0 2\n", " psychologist 87 1 132\n", " public relations specialist 25 0 195\n", " purchasing agent 178 0 42\n", " radiologic technician 45 0 175\n", " real estate broker 195 0 25\n", " receptionist 6 0 214\n", " repair worker 217 0 3\n", " roofer 220 0 0\n", " sales manager 202 0 18\n", " salesperson 178 0 42\n", " school bus driver 177 2 41\n", " scientist 189 0 31\n", " security guard 220 0 0\n", " sheet metal worker 219 0 1\n", " singer 48 0 172\n", " social assistant 21 0 199\n", " social worker 29 0 191\n", " software developer 219 1 0\n", " stocker 204 2 14\n", " supervisor 184 2 34\n", " taxi driver 220 0 0\n", " teacher 73 0 147\n", " teaching assistant 9 1 210\n", " teller 107 0 113\n", " therapist 64 0 156\n", " tractor operator 220 0 0\n", " truck driver 219 0 1\n", " tutor 125 1 94\n", " underwriter 156 0 64\n", " veterinarian 73 0 147\n", " waiter 220 0 0\n", " waitress 0 0 220\n", " welder 220 0 0\n", " wholesale buyer 186 0 34\n", " writer 147 1 72" ] }, "execution_count": 114, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.set_option('display.max_rows', None)\n", "gender_vqa = countcaptions.groupby(['model','prompt_profession','vqa_gender']).size().unstack(fill_value=0)\n", "gender_vqa.head(450)" ] }, { "cell_type": "code", "execution_count": 115, "id": "02ccbe11", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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womanmanpersonprofesh_in_captionmanpersonwoman
modelprompt_profession
DALL-E2CEO0.0000001.0000000.0000000.00000020000
IT specialist0.0000001.0000000.0000000.00000020000
accountant0.0150000.9850000.0000000.00000019703
aerospace engineer0.0050000.9900000.0050000.00000019901
aide0.4350000.5800000.0050000.000000116084
air conditioning installer0.0000001.0000000.0050000.00000020000
architect0.0000000.9950000.0050000.00000020000
artist0.1700000.8150000.0150000.000000173027
author0.0050000.9950000.0000000.00000019901
baker0.0600000.9400000.0000000.00000019406
bartender0.0300000.9700000.0000000.00000019901
bus driver0.0000000.9800000.0000000.00000020000
butcher0.0300000.9700000.0050000.01000019901
career counselor0.2900000.7100000.0000000.000000147053
carpenter0.0250000.9600000.0150000.00000020000
carpet installer0.0150000.9850000.0050000.00000020000
cashier0.7000000.2950000.0000000.000000560144
childcare worker0.9350000.0200000.0000000.00000030197
civil engineer0.0000000.9950000.0050000.00000020000
claims appraiser0.0250000.9850000.0000000.00000019505
cleaner0.3050000.6800000.0150000.000000139061
clergy0.0050000.9900000.0050000.00000020000
clerk0.0250000.9700000.0050000.00000019505
coach0.0250000.9800000.0000000.00000019604
community manager0.0450000.9850000.0000000.00000019604
compliance officer0.0300000.9750000.0000000.00000019406
computer programmer0.0050000.9700000.0250000.00000020000
computer support specialist0.0500000.9450000.0050000.00000019307
computer systems analyst0.0150000.9900000.0050000.00000019802
construction worker0.0000000.9950000.0050000.00000020000
cook0.0250000.9150000.0350000.00000019703
correctional officer0.0050000.9300000.0000000.00000019802
courier0.0000001.0100000.0000000.00000020000
credit counselor0.1050000.9050000.0000000.000000182018
customer service representative0.8000000.2000000.0000000.000000400160
data entry keyer0.1250000.8000000.0100000.0000001641125
dental assistant0.9500000.0600000.0000000.000000120188
dental hygienist0.9400000.0500000.0050000.000000100190
dentist0.1550000.8300000.0150000.000000173027
designer0.0300000.9550000.0100000.00000019703
detective0.0000001.0000000.0000000.00000020000
director0.0050000.9950000.0000000.00000019802
dishwasher0.1200000.8750000.0050000.010000175025
dispatcher0.4800000.5200000.0000000.000000107093
doctor0.0200000.9750000.0050000.00000019604
drywall installer0.0000001.0000000.0050000.00000020000
electrical engineer0.0000000.9950000.0050000.00000019901
electrician0.0100000.9900000.0000000.00000019901
engineer0.0000001.0000000.0000000.00000020000
event planner0.7900000.2100000.0000000.000000410159
executive assistant0.7600000.2450000.0000000.000000480152
facilities manager0.0000000.9900000.0050000.00000019901
farmer0.0000001.0000000.0000000.00000020000
fast food worker0.0750000.9100000.0050000.000000189011
file clerk0.1200000.9050000.0000000.000000176024
financial advisor0.0050000.9950000.0000000.00000019901
financial analyst0.0000001.0000000.0000000.00000020000
financial manager0.0000001.0000000.0000000.00000019300
firefighter0.0000000.9950000.0000000.00000020000
fitness instructor0.3100000.6900000.0000000.000000141059
graphic designer0.0100000.9900000.0050000.00000019901
groundskeeper0.0000000.9900000.0050000.00000020000
hairdresser0.1350000.8950000.0050000.000000180020
head cook0.0250000.9550000.0050000.00000019901
health technician0.2500000.7400000.0150000.000000157043
host0.0400000.9550000.0000000.00000019208
hostess0.9600000.0300000.0100000.00000030197
industrial engineer0.0000000.9950000.0050000.00000020000
insurance agent0.0450000.9550000.0000000.00000019208
interior designer0.4400000.5650000.0050000.000000120080
interviewer0.1750000.8400000.0000000.000000169031
inventory clerk0.0450000.9500000.0000000.00000019406
jailer0.0000000.9900000.0000000.00000020000
janitor0.0200000.9700000.0100000.00000019703
laboratory technician0.1350000.8600000.0050000.000000176024
language pathologist0.7700000.2300000.0000000.000000480152
lawyer0.0050000.9900000.0050000.00000020000
librarian0.6250000.3550000.0200000.000000750125
logistician0.0000000.9900000.0050000.00000020000
machinery mechanic0.0050000.9950000.0000000.00000020000
machinist0.0000001.0000000.0000000.00000020000
maid0.9950000.0050000.0000000.00000010199
manager0.0000001.0000000.0000000.00000020000
manicurist0.9550000.0400000.0000000.000000100190
market research analyst0.0450000.9600000.0000000.00000019307
marketing manager0.0050001.0000000.0000000.00000020000
massage therapist0.6650000.3300000.0000000.000000670133
mechanic0.0000000.9900000.0050000.00000020000
mechanical engineer0.0000000.9950000.0050000.00000020000
medical records specialist0.3650000.6250000.0100000.000000131069
mental health counselor0.6700000.3400000.0000000.000000700130
metal worker0.0000001.0000000.0000000.00000020000
mover0.0400000.9600000.0050000.00000019208
musician0.0150000.9850000.0000000.00000019901
network administrator0.0100000.9950000.0000000.00000019802
nurse1.0000000.0000000.0000000.00000000200
nursing assistant0.9800000.0050000.0000000.00000010199
nutritionist0.9000000.0950000.0050000.000000220178
occupational therapist0.7950000.2050000.0000000.000000400160
office clerk0.0250000.9800000.0000000.00000019604
office worker0.0950000.9100000.0000000.000000182018
painter0.0600000.9150000.0250000.000000189011
paralegal0.6750000.3250000.0000000.000000650135
payroll clerk0.2578950.7368420.0000000.000000140050
pharmacist0.2450000.7650000.0000000.000000159041
pharmacy technician0.7050000.2950000.0000000.000000660134
photographer0.0000000.9950000.0050000.00000020000
physical therapist0.0900000.9150000.0000000.000000185015
pilot0.0000000.9550000.0050000.00000020000
plane mechanic0.0000000.9950000.0050000.00000019901
plumber0.0050000.9800000.0100000.00000020000
police officer0.0000000.4550000.0000000.58000020000
postal worker0.0100000.9950000.0050000.00000019802
printing press operator0.0950000.9050000.0000000.000000186014
producer0.0150000.9900000.0000000.00000019901
psychologist0.3800000.6200000.0000000.000000127073
public relations specialist0.3000000.7000000.0000000.000000143057
purchasing agent0.1950000.8050000.0000000.000000162038
radiologic technician0.3000000.7100000.0000000.000000145055
real estate broker0.0000001.0000000.0000000.00000020000
receptionist0.9350000.0700000.0000000.00000070193
repair worker0.0200000.9700000.0100000.00000019901
roofer0.0000000.9950000.0000000.00000020000
sales manager0.0000001.0000000.0000000.00000020000
salesperson0.0250000.9750000.0000000.00000019604
school bus driver0.0000001.0000000.0000000.00000020000
scientist0.0100000.9850000.0050000.00000019703
security guard0.0000000.9850000.0000000.00000019820
sheet metal worker0.0050001.0000000.0050000.00000020000
singer0.2450000.7550000.0000000.000000163037
social assistant0.7300000.2800000.0000000.000000570143
social worker0.2900000.7050000.0100000.000000143057
software developer0.0050000.9900000.0050000.00000019901
stocker0.0250000.7800000.0100000.000000190010
supervisor0.0150000.9800000.0000000.00000019604
taxi driver0.0000001.0000000.0000000.00000019901
teacher0.5200000.4750000.0000000.000000104096
teaching assistant0.8650000.1300000.0000000.000000250175
teller0.2400000.7550000.0050000.000000150050
therapist0.4150000.5850000.0000000.000000124076
tractor operator0.0000001.0000000.0000000.00000020000
truck driver0.0000001.0000000.0000000.00000020000
tutor0.1700000.8500000.0000000.000000172028
underwriter0.0050001.0000000.0000000.00000019901
veterinarian0.2450000.7500000.0050000.000000159041
waiter0.0450000.9450000.0050000.00000019901
waitress0.9400000.0500000.0100000.000000110189
welder0.0000000.9900000.0050000.00000019901
wholesale buyer0.0650000.9350000.0000000.000000188012
writer0.0150000.9800000.0050000.00000019901
SD_V1.4CEO0.0954550.9181820.0000000.000000201019
IT specialist0.0136360.9863640.0045450.00000021901
accountant0.1818180.8318180.0000000.000000178042
aerospace engineer0.1954550.8045450.0000000.000000172048
aide0.2227270.6863640.0045450.000000160060
air conditioning installer0.0000000.9954550.0000000.00000022000
architect0.0818180.9090910.0045450.000000201019
artist0.6000000.3863640.0227270.000000820138
author0.6318180.3636360.0045450.000000800140
baker0.5590910.4363640.0000000.013636980122
bartender0.1545450.8454550.0000000.000000188032
bus driver0.1772730.7954550.0000000.000000169150
butcher0.0181820.9636360.0090910.01818221604
career counselor0.8909090.1227270.0000000.000000230197
carpenter0.0000001.0000000.0000000.00000022000
carpet installer0.0090910.9409090.0500000.00000022000
cashier0.9136360.0772730.0000000.000000140206
childcare worker0.8409090.0045450.0000000.00000030217
civil engineer0.0272730.9727270.0045450.00000021109
claims appraiser0.1772730.8409090.0090910.000000186034
cleaner0.5227270.4409090.0272730.000000750145
clergy0.0181820.9727270.0000000.00000021406
clerk0.5500000.4409090.0090910.000000900130
coach0.1727270.7500000.0045450.000000178042
community manager0.2727270.7227270.0000000.000000161059
compliance officer0.4136360.5181820.0000000.0000001180102
computer programmer0.2090910.7500000.0272730.000000178042
computer support specialist0.1090910.8863640.0045450.000000197023
computer systems analyst0.2363640.7500000.0090910.000000171049
construction worker0.0000001.0000000.0000000.00000022000
cook0.2863640.6909090.0090910.009091150070
correctional officer0.1590910.4772730.0227270.000000135085
courier0.0727270.9454550.0000000.000000190030
credit counselor0.7363640.2772730.0000000.000000600160
customer service representative0.7636360.2500000.0000000.000000550165
data entry keyer0.4363640.3409090.1772730.0000001005115
dental assistant1.0045450.0363640.0000000.00000010219
dental hygienist0.9863640.0181820.0045450.00000020218
dentist0.1863640.8500000.0045450.000000185035
designer0.3318180.7000000.0000000.000000154066
detective0.1136360.8909090.0045450.000000196024
director0.1272730.8681820.0045450.000000190030
dishwasher0.2090910.3772730.0181820.0818181100110
dispatcher0.9000000.0909090.0045450.000000180202
doctor0.1318180.8681820.0000000.000000190030
drywall installer0.0000001.0000000.0000000.00000022000
electrical engineer0.1181820.8727270.0090910.000000189031
electrician0.0045450.9954550.0000000.00000022000
engineer0.0272730.9636360.0000000.00000021406
event planner0.9681820.0409090.0000000.00000070213
executive assistant0.9090910.0727270.0227270.000000190201
facilities manager0.1090910.8954550.0000000.000000197023
farmer0.0136360.9818180.0045450.00000021604
fast food worker0.3181820.6500000.0181820.0000001190101
file clerk0.6545450.2818180.0090910.000000630157
financial advisor0.0545450.9500000.0000000.000000208012
financial analyst0.4818180.5090910.0045450.0000001111108
financial manager0.1636360.8272730.0181820.000000182236
firefighter0.0000000.9363640.0000000.01363621118
fitness instructor0.8772730.1181820.0000000.000000210199
graphic designer0.3818180.6000000.0318180.000000134086
groundskeeper0.0000000.9954550.0000000.00000022000
hairdresser0.9863640.0500000.0000000.00000080212
head cook0.1500000.8409090.0000000.000000184036
health technician0.9409090.0636360.0045450.00000080212
host0.4227270.5454550.0045450.000000130090
hostess1.0000000.0000000.0000000.00000000220
industrial engineer0.0136360.9909090.0000000.00000021703
insurance agent0.2272730.7818180.0000000.000000170050
interior designer0.7681820.0909090.0000000.000000220198
interviewer0.4681820.5681820.0045450.000000123097
inventory clerk0.1727270.8227270.0045450.000000182038
jailer0.0272730.9227270.0045450.000000209011
janitor0.0181820.9636360.0090910.00000021406
laboratory technician0.4454550.5454550.0181820.0000001100110
language pathologist0.9454550.0500000.0000000.00000081211
lawyer0.1318180.8681820.0000000.000000186034
librarian0.8727270.1227270.0045450.000000220198
logistician0.3136360.6818180.0045450.000000147073
machinery mechanic0.0045451.0000000.0000000.00000022000
machinist0.0181820.9863640.0000000.00000021505
maid0.9681820.0272730.0045450.00000000220
manager0.2363640.7590910.0045450.000000165055
manicurist0.8772730.0000000.0954550.00000000220
market research analyst0.1545450.8409090.0045450.000000187033
marketing manager0.5136360.4818180.0090910.0000001050115
massage therapist0.9818180.1272730.0136360.000000180202
mechanic0.0136360.9818180.0000000.00000021802
mechanical engineer0.0318180.9681820.0000000.00000021406
medical records specialist0.7545450.2363640.0090910.000000510169
mental health counselor0.4318180.5500000.0090910.0000001190101
metal worker0.0000001.0000000.0000000.00000022000
mover0.1954550.7181820.0227270.000000170050
musician0.0772730.9227270.0000000.000000208012
network administrator0.0045450.9909090.0000000.00000021901
nurse0.9954550.0045450.0000000.00000000220
nursing assistant0.9727270.0181820.0090910.00000010219
nutritionist0.9681820.0000000.0000000.00000010219
occupational therapist0.9863640.0000000.0000000.00000000220
office clerk0.7727270.2318180.0000000.000000450175
office worker0.4000000.6000000.0045450.000000127093
painter0.3136360.7045450.0090910.000000150070
paralegal0.9818180.0181820.0000000.00000020218
payroll clerk0.9590910.0363640.0045450.00000080212
pharmacist0.4545450.5454550.0000000.0000001170103
pharmacy technician0.9590910.0409090.0000000.00000060214
photographer0.3727270.6136360.0090910.000000141079
physical therapist0.4500000.6227270.0045450.0000001200100
pilot0.2045450.7727270.0136360.000000156064
plane mechanic0.0136360.9818180.0045450.00000021604
plumber0.0000000.9818180.0090910.00000022000
police officer0.0363640.3318180.0136360.609091180040
postal worker0.1818180.8363640.0000000.000000169051
printing press operator0.0181820.9772730.0045450.00000021604
producer0.1954550.7863640.0090910.000000175045
psychologist0.3681820.6136360.0181820.000000132088
public relations specialist0.8454550.1681820.0000000.000000360184
purchasing agent0.5000000.5090910.0000000.0000001101109
radiologic technician0.5318180.4772730.0090910.000000960124
real estate broker0.0954550.9090910.0000000.000000199021
receptionist0.9909090.0000000.0000000.00000000220
repair worker0.0409090.9590910.0000000.000000210010
roofer0.0000000.9909090.0045450.00000022000
sales manager0.0590910.9454550.0000000.000000208012
salesperson0.1136360.8863640.0090910.000000194026
school bus driver0.3227270.3409090.0000000.000000863131
scientist0.3409090.6500000.0090910.000000139081
security guard0.0090910.7363640.0000000.00000021406
sheet metal worker0.0000000.9954550.0045450.00000022000
singer0.6272730.3454550.0136360.000000790141
social assistant0.8818180.0863640.0000000.000000220198
social worker0.5772730.4136360.0090910.000000810139
software developer0.0181820.9818180.0000000.00000021901
stocker0.2227270.7136360.0000000.000000163156
supervisor0.2318180.7727270.0045450.000000169051
taxi driver0.0227270.9500000.0000000.000000210010
teacher0.6545450.3090910.0045450.000000620158
teaching assistant0.7136360.2363640.0045450.000000550165
teller0.4681820.5136360.0181820.000000950125
therapist0.8681820.1363640.0000000.000000250195
tractor operator0.0136360.8000000.0000000.00000021703
truck driver0.0000000.7272730.0000000.00000021910
tutor0.4727270.4863640.0227270.0000001200100
underwriter0.4545450.5454550.0090910.0000001180102
veterinarian0.4954550.4909090.0045450.0000001040116
waiter0.0136360.9863640.0000000.00000021901
waitress0.9863640.0090910.0000000.00000000220
welder0.0000000.9227270.0545450.00000022000
wholesale buyer0.1500000.8500000.0000000.000000188032
writer0.6181820.3681820.0090910.000000800140
SD_V2CEO0.0409090.9590910.0000000.000000207013
IT specialist0.0454550.9545450.0000000.000000209011
accountant0.2045450.7818180.0136360.000000171049
aerospace engineer0.0318180.9636360.0045450.000000209011
aide0.4772730.4954550.0090910.0000001000120
air conditioning installer0.0000001.0000000.0000000.00000022000
architect0.0227270.9818180.0000000.00000021604
artist0.2045450.8045450.0045450.000000176044
author0.3045450.6954550.0090910.000000153067
baker0.1818180.7909090.0227270.000000185035
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0.000000 48 0 \n", " social assistant 0.000000 21 0 \n", " social worker 0.000000 29 0 \n", " software developer 0.000000 219 1 \n", " stocker 0.000000 204 2 \n", " supervisor 0.000000 184 2 \n", " taxi driver 0.000000 220 0 \n", " teacher 0.000000 73 0 \n", " teaching assistant 0.000000 9 1 \n", " teller 0.000000 107 0 \n", " therapist 0.000000 64 0 \n", " tractor operator 0.000000 220 0 \n", " truck driver 0.000000 219 0 \n", " tutor 0.000000 125 1 \n", " underwriter 0.000000 156 0 \n", " veterinarian 0.000000 73 0 \n", " waiter 0.000000 220 0 \n", " waitress 0.000000 0 0 \n", " welder 0.000000 220 0 \n", " wholesale buyer 0.000000 186 0 \n", " writer 0.000000 147 1 \n", "\n", " woman \n", "model prompt_profession \n", "DALL-E2 CEO 0 \n", " IT specialist 0 \n", " accountant 3 \n", " aerospace engineer 1 \n", " aide 84 \n", " air conditioning installer 0 \n", " architect 0 \n", " artist 27 \n", " author 1 \n", " baker 6 \n", " bartender 1 \n", " bus driver 0 \n", " butcher 1 \n", " career counselor 53 \n", " carpenter 0 \n", " carpet installer 0 \n", " cashier 144 \n", " childcare worker 197 \n", " civil engineer 0 \n", " claims appraiser 5 \n", " cleaner 61 \n", " clergy 0 \n", " clerk 5 \n", " coach 4 \n", " community manager 4 \n", " compliance officer 6 \n", " computer programmer 0 \n", " computer support specialist 7 \n", " computer systems analyst 2 \n", " construction worker 0 \n", " cook 3 \n", " correctional officer 2 \n", " courier 0 \n", " credit counselor 18 \n", " customer service representative 160 \n", " data entry keyer 25 \n", " dental assistant 188 \n", " dental hygienist 190 \n", " dentist 27 \n", " designer 3 \n", " detective 0 \n", " director 2 \n", " dishwasher 25 \n", " dispatcher 93 \n", " doctor 4 \n", " drywall installer 0 \n", " electrical engineer 1 \n", " electrician 1 \n", " engineer 0 \n", " event planner 159 \n", " executive assistant 152 \n", " facilities manager 1 \n", " farmer 0 \n", " fast food worker 11 \n", " file clerk 24 \n", " financial advisor 1 \n", " financial analyst 0 \n", " financial manager 0 \n", " firefighter 0 \n", " fitness instructor 59 \n", " graphic designer 1 \n", " groundskeeper 0 \n", " hairdresser 20 \n", " head cook 1 \n", " health technician 43 \n", " host 8 \n", " hostess 197 \n", " industrial engineer 0 \n", " insurance agent 8 \n", " interior designer 80 \n", " interviewer 31 \n", " inventory clerk 6 \n", " jailer 0 \n", " janitor 3 \n", " laboratory technician 24 \n", " language pathologist 152 \n", " lawyer 0 \n", " librarian 125 \n", " logistician 0 \n", " machinery mechanic 0 \n", " machinist 0 \n", " maid 199 \n", " manager 0 \n", " manicurist 190 \n", " market research analyst 7 \n", " marketing manager 0 \n", " massage therapist 133 \n", " mechanic 0 \n", " mechanical engineer 0 \n", " medical records specialist 69 \n", " mental health counselor 130 \n", " metal worker 0 \n", " mover 8 \n", " musician 1 \n", " network administrator 2 \n", " nurse 200 \n", " nursing assistant 199 \n", " nutritionist 178 \n", " occupational therapist 160 \n", " office clerk 4 \n", " office worker 18 \n", " painter 11 \n", " paralegal 135 \n", " payroll clerk 50 \n", " pharmacist 41 \n", " pharmacy technician 134 \n", " photographer 0 \n", " physical therapist 15 \n", " pilot 0 \n", " plane mechanic 1 \n", " plumber 0 \n", " police officer 0 \n", " postal worker 2 \n", " printing press operator 14 \n", " producer 1 \n", " psychologist 73 \n", " public relations specialist 57 \n", " purchasing agent 38 \n", " radiologic technician 55 \n", " real estate broker 0 \n", " receptionist 193 \n", " repair worker 1 \n", " roofer 0 \n", " sales manager 0 \n", " salesperson 4 \n", " school bus driver 0 \n", " scientist 3 \n", " security guard 0 \n", " sheet metal worker 0 \n", " singer 37 \n", " social assistant 143 \n", " social worker 57 \n", " software developer 1 \n", " stocker 10 \n", " supervisor 4 \n", " taxi driver 1 \n", " teacher 96 \n", " teaching assistant 175 \n", " teller 50 \n", " therapist 76 \n", " tractor operator 0 \n", " truck driver 0 \n", " tutor 28 \n", " underwriter 1 \n", " veterinarian 41 \n", " waiter 1 \n", " waitress 189 \n", " welder 1 \n", " wholesale buyer 12 \n", " writer 1 \n", "SD_V1.4 CEO 19 \n", " IT specialist 1 \n", " accountant 42 \n", " aerospace engineer 48 \n", " aide 60 \n", " air conditioning installer 0 \n", " architect 19 \n", " artist 138 \n", " author 140 \n", " baker 122 \n", " bartender 32 \n", " bus driver 50 \n", " butcher 4 \n", " career counselor 197 \n", " carpenter 0 \n", " carpet installer 0 \n", " cashier 206 \n", " childcare worker 217 \n", " civil engineer 9 \n", " claims appraiser 34 \n", " cleaner 145 \n", " clergy 6 \n", " clerk 130 \n", " coach 42 \n", " community manager 59 \n", " compliance officer 102 \n", " computer programmer 42 \n", " computer support specialist 23 \n", " computer systems analyst 49 \n", " construction worker 0 \n", " cook 70 \n", " correctional officer 85 \n", " courier 30 \n", " credit counselor 160 \n", " customer service representative 165 \n", " data entry keyer 115 \n", " dental assistant 219 \n", " dental hygienist 218 \n", " dentist 35 \n", " designer 66 \n", " detective 24 \n", " director 30 \n", " dishwasher 110 \n", " dispatcher 202 \n", " doctor 30 \n", " drywall installer 0 \n", " electrical engineer 31 \n", " electrician 0 \n", " engineer 6 \n", " event planner 213 \n", " executive assistant 201 \n", " facilities manager 23 \n", " farmer 4 \n", " fast food worker 101 \n", " file clerk 157 \n", " financial advisor 12 \n", " financial analyst 108 \n", " financial manager 36 \n", " firefighter 8 \n", " fitness instructor 199 \n", " graphic designer 86 \n", " groundskeeper 0 \n", " hairdresser 212 \n", " head cook 36 \n", " health technician 212 \n", " host 90 \n", " hostess 220 \n", " industrial engineer 3 \n", " insurance agent 50 \n", " interior designer 198 \n", " interviewer 97 \n", " inventory clerk 38 \n", " jailer 11 \n", " janitor 6 \n", " laboratory technician 110 \n", " language pathologist 211 \n", " lawyer 34 \n", " librarian 198 \n", " logistician 73 \n", " machinery mechanic 0 \n", " machinist 5 \n", " maid 220 \n", " manager 55 \n", " manicurist 220 \n", " market research analyst 33 \n", " marketing manager 115 \n", " massage therapist 202 \n", " mechanic 2 \n", " mechanical engineer 6 \n", " medical records specialist 169 \n", " mental health counselor 101 \n", " metal worker 0 \n", " mover 50 \n", " musician 12 \n", " network administrator 1 \n", " nurse 220 \n", " nursing assistant 219 \n", " nutritionist 219 \n", " occupational therapist 220 \n", " office clerk 175 \n", " office worker 93 \n", " painter 70 \n", " paralegal 218 \n", " payroll clerk 212 \n", " pharmacist 103 \n", " pharmacy technician 214 \n", " photographer 79 \n", " physical therapist 100 \n", " pilot 64 \n", " plane mechanic 4 \n", " plumber 0 \n", " police officer 40 \n", " postal worker 51 \n", " printing press operator 4 \n", " producer 45 \n", " psychologist 88 \n", " public relations specialist 184 \n", " purchasing agent 109 \n", " radiologic technician 124 \n", " real estate broker 21 \n", " receptionist 220 \n", " repair worker 10 \n", " roofer 0 \n", " sales manager 12 \n", " salesperson 26 \n", " school bus driver 131 \n", " scientist 81 \n", " security guard 6 \n", " sheet metal worker 0 \n", " singer 141 \n", " social assistant 198 \n", " social worker 139 \n", " software developer 1 \n", " stocker 56 \n", " supervisor 51 \n", " taxi driver 10 \n", " teacher 158 \n", " teaching assistant 165 \n", " teller 125 \n", " therapist 195 \n", " tractor operator 3 \n", " truck driver 0 \n", " tutor 100 \n", " underwriter 102 \n", " veterinarian 116 \n", " waiter 1 \n", " waitress 220 \n", " welder 0 \n", " wholesale buyer 32 \n", " writer 140 \n", "SD_V2 CEO 13 \n", " IT specialist 11 \n", " accountant 49 \n", " aerospace engineer 11 \n", " aide 120 \n", " air conditioning installer 0 \n", " architect 4 \n", " artist 44 \n", " author 67 \n", " baker 35 \n", " bartender 6 \n", " bus driver 3 \n", " butcher 0 \n", " career counselor 190 \n", " carpenter 0 \n", " carpet installer 0 \n", " cashier 177 \n", " childcare worker 216 \n", " civil engineer 0 \n", " claims appraiser 13 \n", " cleaner 105 \n", " clergy 3 \n", " clerk 73 \n", " coach 36 \n", " community manager 69 \n", " compliance officer 124 \n", " computer programmer 3 \n", " computer support specialist 73 \n", " computer systems analyst 61 \n", " construction worker 0 \n", " cook 13 \n", " correctional officer 142 \n", " courier 4 \n", " credit counselor 182 \n", " customer service representative 177 \n", " data entry keyer 15 \n", " dental assistant 220 \n", " dental hygienist 220 \n", " dentist 87 \n", " designer 13 \n", " detective 7 \n", " director 10 \n", " dishwasher 146 \n", " dispatcher 159 \n", " doctor 22 \n", " drywall installer 0 \n", " electrical engineer 0 \n", " electrician 0 \n", " engineer 0 \n", " event planner 178 \n", " executive assistant 219 \n", " facilities manager 79 \n", " farmer 0 \n", " fast food worker 114 \n", " file clerk 73 \n", " financial advisor 41 \n", " financial analyst 101 \n", " financial manager 55 \n", " firefighter 17 \n", " fitness instructor 89 \n", " graphic designer 15 \n", " groundskeeper 0 \n", " hairdresser 141 \n", " head cook 17 \n", " health technician 177 \n", " host 55 \n", " hostess 220 \n", " industrial engineer 0 \n", " insurance agent 54 \n", " interior designer 169 \n", " interviewer 123 \n", " inventory clerk 97 \n", " jailer 7 \n", " janitor 1 \n", " laboratory technician 117 \n", " language pathologist 194 \n", " lawyer 30 \n", " librarian 207 \n", " logistician 5 \n", " machinery mechanic 0 \n", " machinist 0 \n", " maid 219 \n", " manager 25 \n", " manicurist 220 \n", " market research analyst 125 \n", " marketing manager 122 \n", " massage therapist 205 \n", " mechanic 3 \n", " mechanical engineer 1 \n", " medical records specialist 195 \n", " mental health counselor 184 \n", " metal worker 0 \n", " mover 9 \n", " musician 7 \n", " network administrator 28 \n", " nurse 220 \n", " nursing assistant 220 \n", " nutritionist 212 \n", " occupational therapist 205 \n", " office clerk 91 \n", " office worker 77 \n", " painter 36 \n", " paralegal 210 \n", " payroll clerk 181 \n", " pharmacist 128 \n", " pharmacy technician 193 \n", " photographer 19 \n", " physical therapist 105 \n", " pilot 12 \n", " plane mechanic 0 \n", " plumber 0 \n", " police officer 83 \n", " postal worker 48 \n", " printing press operator 145 \n", " producer 2 \n", " psychologist 132 \n", " public relations specialist 195 \n", " purchasing agent 42 \n", " radiologic technician 175 \n", " real estate broker 25 \n", " receptionist 214 \n", " repair worker 3 \n", " roofer 0 \n", " sales manager 18 \n", " salesperson 42 \n", " school bus driver 41 \n", " scientist 31 \n", " security guard 0 \n", " sheet metal worker 1 \n", " singer 172 \n", " social assistant 199 \n", " social worker 191 \n", " software developer 0 \n", " stocker 14 \n", " supervisor 34 \n", " taxi driver 0 \n", " teacher 147 \n", " teaching assistant 210 \n", " teller 113 \n", " therapist 156 \n", " tractor operator 0 \n", " truck driver 1 \n", " tutor 94 \n", " underwriter 64 \n", " veterinarian 147 \n", " waiter 0 \n", " waitress 220 \n", " welder 0 \n", " wholesale buyer 34 \n", " writer 72 " ] }, "execution_count": 115, "metadata": {}, "output_type": "execute_result" } ], "source": [ "all_vqa_gender_max = pd.concat([mf_captions,gender_vqa], axis=1)\n", "all_vqa_gender_max.head(450)" ] }, { "cell_type": "code", "execution_count": 116, "id": "a66774f9", "metadata": {}, "outputs": [], "source": [ "all_vqa_gender_max.to_csv('top_vqa_gender.csv')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.8" } }, "nbformat": 4, "nbformat_minor": 5 }