diff --git a/Dashboard.py b/Dashboard.py index a2917a086030d7f8e1f484272260f138580575d2..fd7efab6d3b1ab51d7e7a86134885bfbc68f5341 100644 --- a/Dashboard.py +++ b/Dashboard.py @@ -1,10 +1,20 @@ import streamlit as st import pandas as pd import numpy as np -from Dashboard_setup import prompt_dir, automated_task_list -from pages.Functions.Dashboard_functions import prompt_to_csv +from Dashboard_setup import prompt_dir, automated_task_list, sidebar_information, compatible_versions, dashboard_version_code +from pages.Functions.Dashboard_functions import prompt_to_csv, prompt_df_for_download -# Setup + +# Page +st.title('Generative Image Benchmark') +st.write('This is an evaluation platform to assess the performance of image generation algorithms developed by Intel Labs. This is the beta version of the platform.') +st.subheader('User guide') +st.write('To assess a generative image algorithm, download a set of prompts using the prompt downloader below. Generate one image per prompt and use the file names provided to name your images. Upload these generated images in the data upload section below. The pages for manual assessment and automated assessment allow you to systematically assess the generated images. The results will be presented and ready for download on the assessment summary page.') +sidebar_information() + + + +###### Setup of variables ############################ ## Add prompt directory to session state st.session_state['prompt_dir'] = prompt_dir ## Create lists of prompts for manual and automated assessments @@ -14,48 +24,29 @@ automated_prompts = prompt_dir.loc[ (prompt_dir['Task']).isin(st.session_state['automated_tasks'])].ID.tolist() manual_prompts = prompt_dir.ID.tolist() -# Page -st.title('Generative Image Benchmark') -st.write('This is an evaluation platform to assess the performance of image generation algorithms developed by Intel Labs. This is the alpha version of the platform.') -st.subheader('User guide') -st.write('To assess a generative image algorithm, download a set of prompts using the prompt downloader below. Generate one image per prompt and use the file names provided to name your images. Upload these generated images in the data upload section below. The pages for manual assessment and automated assessment allow you to systematically assess the generated images. The results will be presented and ready for download on the assessment summary page.') -st.sidebar.image('Graphics/IL_Logo.png') - -# Add prompt downloading functions -prompt_download_dict = {} -## Count how many prompts are in database to allow for max value in selection -prompt_task_count = prompt_dir.Task.value_counts(sort=False) -prompt_task_count = prompt_task_count.drop(index='Single object') -prompt_task_select = prompt_task_count.copy() -## Hide downloader in box +# Generate empty dataset for results, if it does not exist yet +try: + num_uploaded_images = st.session_state['eval_df'].shape[0] +except KeyError: + st.session_state['eval_df'] = pd.DataFrame( + columns=['File_name','Prompt_no','automated_eval','manual_eval','manual_eval_completed','manual_eval_task_score']) + st.session_state['uploaded_img'] = [] + +# Create dic for automated asssssment if it does not excist yet +try: + test_dict = st.session_state['results_dict'] +except KeyError: + st.session_state['results_dict'] = {} + + + +###### Prompt downloader ############################ +## Add prompt downloading routine in expander box with st.expander("Prompt downloader"): st.write('Select the number of prompts you want to download for each task category. The set of prompts will automatically also include all single objects appearing in the selected prompts.') - # Create numerical selector for every task in prompt directory - for i_task in prompt_task_select.index: - prompt_task_select[i_task] = st.number_input( - i_task, - value = prompt_task_count[i_task], - max_value=prompt_task_count[i_task], - min_value=0, - step = 1) - - # Create df with selected number of prompts per task - for i_task in prompt_task_select.index: - temp_df = prompt_dir.loc[prompt_dir['Task']==i_task][0:prompt_task_select[i_task]] - if len(temp_df)>0: - prompt_download_dict[i_task]=temp_df - - # Concat all tasks to dataframe - prompt_download = pd.concat(prompt_download_dict.values()) - # Exclude prompts from single object prompt download, as else the int transform gives an error - single_object_prompt_download = prompt_download.dropna(subset='Linked_prompts') - - # Add relevant single object prompts - single_object_ids = single_object_prompt_download.Linked_prompts.str.split(',').explode().unique().astype('int') - prompt_download = pd.concat([ - prompt_download, - prompt_dir.loc[prompt_dir['ID'].isin(single_object_ids)] - ]) + + # Add elements to allow user to select count of prompts per task + prompt_download = prompt_df_for_download(prompt_dir) # For img2img prompt, the prompt in the download gets replaced by img2img instructions img2img_instructions_col = prompt_download.loc[prompt_download['Task'].str.startswith('img2img')]['img2img_instructions'] @@ -64,28 +55,15 @@ with st.expander("Prompt downloader"): # Add download button for prompts st.download_button( label="Download prompts", - data=prompt_to_csv(prompt_download), + data=prompt_to_csv(prompt_download, added_version_code=dashboard_version_code), file_name='prompt_list.csv', mime='text/csv', ) -# Generate empty dataset for results, if it does not exist yet -try: - num_uploaded_images = st.session_state['eval_df'].shape[0] -except KeyError: - st.session_state['eval_df'] = pd.DataFrame( - columns=['File_name','Prompt_no','automated_eval','manual_eval','manual_eval_completed','manual_eval_task_score']) - st.session_state['uploaded_img'] = [] -# Create dic for automated asssssment if it does not excist yet -try: - test_dict = st.session_state['results_dict'] -except KeyError: - st.session_state['results_dict'] = {} - -# Data upload setup +###### Data uploader and eval_df creation ############################ st.subheader('Data upload') #uploaded_files = st.file_uploader('Upload generated images', accept_multiple_files=True) with st.form("my-form", clear_on_submit=True): @@ -98,8 +76,6 @@ with st.form("my-form", clear_on_submit=True): submitted = st.form_submit_button("Add images") st.session_state['uploaded_img'] = st.session_state['uploaded_img']+uploaded_files - - # Add new uploaded images to session state ## Try to append it to pre-existing list, else create new list in session state ## Always reset uploaded files to empty list after they have been added to state @@ -107,16 +83,24 @@ if len(uploaded_files) != 0: try: # Extract prompts of uploaded files file_names = [x.name for x in uploaded_files] - files_prompts = [x.split('_')[0][1:] for x in file_names] + files_prompts = [x.split('_',maxsplit=1)[0][1:] for x in file_names] + try: + files_versions = [x.split('_v',maxsplit=1)[1] for x in file_names] + files_compatible = [x.rsplit('.',1)[0] in compatible_versions for x in files_versions] + except IndexError: + files_compatible = [False]*len(files_prompts) # Create manual evaluation df - df_dict = {'File_name':file_names, 'Prompt_no':files_prompts} + df_dict = {'File_name':file_names, 'Prompt_no':files_prompts, 'File_compatible':files_compatible} eval_df = pd.DataFrame(df_dict) eval_df['automated_eval'] = eval_df['Prompt_no'].astype('int').isin(automated_prompts) eval_df['manual_eval'] = eval_df['Prompt_no'].astype('int').isin(manual_prompts) eval_df['manual_eval_completed'] = False eval_df['manual_eval_task_score'] = np.nan + # Set manual and automated eval = False if files are not compatible + eval_df.loc[eval_df['File_compatible']==False,['automated_eval','manual_eval']]=False + # Exclude given percentage of uploaded images from manual assessment; with random selection if man_assessment_share == '50%': reassign_number = int(len(eval_df)/2) @@ -139,6 +123,7 @@ if len(uploaded_files) != 0: st.session_state['uploaded_img'] = uploaded_files +###### Upload status visualisation ############################ eval_df = st.session_state['eval_df'] if eval_df.shape[0]!=0: # Print current state of uploaded data @@ -149,6 +134,7 @@ if eval_df.shape[0]!=0: if eval_df.shape[0]>sum(eval_df.manual_eval): st.write('WARNING: {0} image(s) with invalid file names uploaded. Pictures with invalid names will not be available for assessment. Use the file names provided by the prompt downloader to correctly name your generated images.'.format(str(eval_df.shape[0]-sum(eval_df.manual_eval)))) - + if eval_df.shape[0]>sum(eval_df.File_compatible): + st.write('WARNING: Some of the images uploaded are not compatible with this version of benchmark software. Please go to https://github.com/8erberg/Intel-Generative-Image-Dashboard-experimental/blob/main/README.md to learn more about hosting the version compatible with your images.') else: st.write("Upload files to start the assessment.") diff --git a/Dashboard_setup.py b/Dashboard_setup.py index 2bdd91d663ba94d2d6e6cbc4570e1d0efc023087..536522bc776073d5e8970363bd47340c0c9abc29 100644 --- a/Dashboard_setup.py +++ b/Dashboard_setup.py @@ -1,4 +1,19 @@ +import streamlit as st import pandas as pd +# Dashboard version variables +code_version = 'v0.0.5' +prompt_dir_version = '230131' +compatible_versions = ['0.0.5_pd230118', 'None'] +dashboard_version_code = code_version+'_pd'+prompt_dir_version + +# List of tasks which are automated in current version - note that each of these needs a corresponding evaluation function in Dashboard_automation_setup.py automated_task_list = ['Multiple object types', 'Single object','Negation'] -prompt_dir = pd.read_csv('Data/Prompt_dir_230104.csv') \ No newline at end of file + +# Import the list of prompts used in current version +prompt_dir = pd.read_csv('data/Prompt_dir_{0}.csv'.format(prompt_dir_version)) + +# Create sidebar information +def sidebar_information(): + st.sidebar.image('assets/IL_Logo.png') + st.sidebar.text(dashboard_version_code) \ No newline at end of file diff --git a/Graphics/IL_Logo.png b/assets/IL_Logo.png similarity index 100% rename from Graphics/IL_Logo.png rename to assets/IL_Logo.png diff --git a/Data/Prompt_dir_221128.csv b/data/Prompt_dir_221128.csv similarity index 100% rename from Data/Prompt_dir_221128.csv rename to data/Prompt_dir_221128.csv diff --git a/Data/Prompt_dir_221215.csv b/data/Prompt_dir_221215.csv similarity index 100% rename from Data/Prompt_dir_221215.csv rename to data/Prompt_dir_221215.csv diff --git a/Data/Prompt_dir_221216.csv b/data/Prompt_dir_221216.csv similarity index 100% rename from Data/Prompt_dir_221216.csv rename to data/Prompt_dir_221216.csv diff --git a/Data/Prompt_dir_230104.csv b/data/Prompt_dir_230104.csv similarity index 100% rename from Data/Prompt_dir_230104.csv rename to data/Prompt_dir_230104.csv diff --git a/data/Prompt_dir_230131.csv b/data/Prompt_dir_230131.csv new file mode 100644 index 0000000000000000000000000000000000000000..5362cf43bbf5f11c9a738c627b25ec12139cd6b9 --- /dev/null +++ b/data/Prompt_dir_230131.csv @@ -0,0 +1,2205 @@ +,ID,Prompt,Representations,Auto_assessment,Task,Task_specific_label,img2img_instructions,Linked_prompts +0,1,A sweet strawberry or a sour lemon- only render sweet things,strawberry,True,Conditional generation,lemon,,1703 +1,2,A soft blanket or a hard bench- only render soft objects,blanket,False,Conditional generation,bench,,1704 +2,3,A soft towel or a cabinet- only render furniture,cabinet,True,Conditional generation,towel,,1705 +3,4,A white carpet or a hard floor- only render hard surfaces,carpet,False,Conditional generation,floor,,1706 +4,5,A white mug or a black pen- only render white objects,mug,False,Conditional generation,pen,,1707 +5,6,A tall building or a short fence- only render tall structures,building,True,Conditional generation,fence,,1708 +6,7,A white snowflake or a black crow- only render white objects,snowflake,False,Conditional generation,crow,,1709 +7,8,A gold ring or a wooden table- only render metal things,ring,False,Conditional generation,table,,1710 +8,9,A large house or a small chair - only render large objects,house,False,Conditional generation,chair,,1711 +9,10,A jar or a squirrel- only render containers,jar,True,Conditional generation,squirrel,,1712 +10,11,A bright lamp or a black door- only render bright things,lamp,True,Conditional generation,door,,1713 +11,12,A yellow flashlight or a blue bird- only render light sources,flashlight,False,Conditional generation,bird,,1714 +12,13,A green toothbrush or a grey elephant - only render green things,toothbrush,False,Conditional generation,elephant,,1715 +13,14,A white boat or a black car- only render white objects,boat,False,Conditional generation,car,,1716 +14,15,A sweet candy or a sour pickle- only render sweet things,candy,True,Conditional generation,pickle,,1717 +15,16,A soft pillow or a hard stone- only render soft objects,pillow,True,Conditional generation,stone,,1718 +16,17,A blue sky or a red sunset- only render blue landscapes,sky,False,Conditional generation,sunset,,1719 +17,18,A white dove or a black crow- only render white birds,dove,False,Conditional generation,crow,,1720 +18,19,A blue ocean or a red desert- only render bodies of water,ocean,False,Conditional generation,desert,,1721 +19,20,A bright star or a pencil- only render bright celestial objects,star,True,Conditional generation,pencil,,1722 +20,21,A loud bird or a quiet fish- only render quiet animals,fish,True,Conditional generation,bird,,1723 +21,22,A big whale or a small fish- only render big aquatic creatures,whale,False,Conditional generation,fish,,1724 +22,23,A golden sun or a silver moon- only render silver celestial objects,moon,False,Conditional generation,sun,,1725 +23,24,A fluffy sheep or a scaly crocodile- only render fluffy animals,sheep,True,Conditional generation,crocodile,,1726 +24,25,A red apple or a green pear- only render red fruits,apple,False,Conditional generation,pear,,1727 +25,26,A blue car or a red truck- only render blue vehicles,car,False,Conditional generation,truck,,1728 +26,27,A skycraper or a snail- only render tall structures,skyscraper,True,Conditional generation,snail,,1729 +27,28,A chocolate bar or a lemon- only render fruit,lemon,True,Conditional generation,chocolate bar,,1730 +28,29,A metal sword or a wooden shield- only render weapons made of metal,sword,True,Conditional generation,shield,,1731 +29,30,A violin or a bench- only render musical instruments,violin,True,Conditional generation,bench,,1732 +30,31,A black cloud or a white pebble- only render black objects,cloud,False,Conditional generation,pebble,,1733 +31,32,An ice cream or a pickle- only render sweet treats,ice cream,True,Conditional generation,pickle,,1734 +32,33,A white snowman or a black cat- only render white objects,snowman,False,Conditional generation,cat,,1735 +33,34,A hippopotamus or an anchovie- only render small aquatic creatures,anchovie,True,Conditional generation,hippopotamus,,1736 +34,35,A tree or a vase- only render plants,tree,True,Conditional generation,vase,,1737 +35,36,A knife or a skirt- only render utensils,knife,True,Conditional generation,skirt,,1738 +36,37,A bird or a basketball- only render living creatures,bird,False,Conditional generation,basketball,,1739 +37,38,A big elephant or a small ant- only render big creatures,elephant,True,Conditional generation,ant,,1740 +38,39,A fluffy bunny or a scaly snake- only render scaly animals,snake,True,Conditional generation,bunny,,1741 +39,40,A red apple or a green kiwi- only render green fruits,kiwi,False,Conditional generation,apple,,1742 +40,41,A furry dog or a feathered bird- only render feathered creatures,bird,True,Conditional generation,dog,,1739 +41,42,A noisy loudspeaker or quiet headphones- only render quiet devices,headphones,True,Conditional generation,loudspeaker,,1743 +42,43,A soft carpet or a ceramic tile- only render surfaces made of clay,tile,True,Conditional generation,carpet,,1744 +43,44,A white snowflake or a black spider- only render arachnoids,spider,False,Conditional generation,snowflake,,1745 +44,45,A furry cat or a feathered owl- only render feathered animals,owl,True,Conditional generation,cat,,1746 +45,46,A red strawberry or a green grape- only render red fruits,strawberry,False,Conditional generation,grape,,1703 +46,47,A shiny diamond or a dull rock- only render shiny objects,diamond,False,Conditional generation,rock,,1747 +47,48,A happy dog or a grumpy parrot- only render happy animals,dog,True,Conditional generation,parrot,,1748 +48,49,A small cat or a large elephant- only render large animals,cat,True,Conditional generation,elephant,,1749 +49,50,A dog or a lemon- only render citrus fruit,lemon,True,Conditional generation,dog,,1730 +50,51,A bright light bulb or a dim candle- only render bright light sources,light bulb,True,Conditional generation,candle,,1750 +51,52,A thick book or a feather - only render light things,feather,True,Conditional generation,book,,1751 +52,53,A tall ladder or a cockroach- only render tall objects,ladder,True,Conditional generation,cockroach,,1752 +53,54,A fir tree or a mushroom- only render evergreen plants,fir tree,True,Conditional generation,mushroom,,1753 +54,55,A green bush or a yellow stone- only render yellow objects,stone,False,Conditional generation,bush,,1754 +55,56,A silver coin or a copper chain- only render silver objects,coin,False,Conditional generation,chain,,1755 +56,57,A square pillow or a small chair- only render square objects,pillow,False,Conditional generation,chair,,1718 +57,58,A t-shirt or a telephone- only render clothing,t-shirt,False,Conditional generation,telephone,,1756 +58,59,A bathtub or a desk- only render office furniture,desk,True,Conditional generation,bathtub,,1757 +59,60,A gorilla or a mouse- only render large animals,gorilla,True,Conditional generation,mouse,,1758 +60,61,A golden ring or a silver medal- only render silver objects,medal,False,Conditional generation,ring,,1759 +61,62,A loud dog or a quiet mouse- only render quiet animals,mouse,True,Conditional generation,dog,,1760 +62,63,A butterfly or a spider- only render flying insects,butterfly,True,Conditional generation,spider,,1761 +63,64,A feather or a brick- only render hard objects,brick,True,Conditional generation,feather,,1762 +64,65,A football or a spoon - only render kitchen utensils,spoon,True,Conditional generation,football,,1763 +65,66,A lion or a green dragon - only render flying creatures,dragon,False,Conditional generation,lion,,1764 +66,67,A golden plate or a green banana - only render fruit,banana,False,Conditional generation,plate,,1765 +67,68,A red suitcase or a blue balloon - only render blue objects,balloon,False,Conditional generation,suitcase,,1766 +68,69,An elephant or giraffe - only render animals with very long necks,giraffe,False,Conditional generation,elephant,,1767 +69,70,A necklace or a ring - only render jewelry that is worn on a finger,ring,False,Conditional generation,necklace,,1710 +70,71,A swan or a giraffe - only render animals that can swim,swan,False,Conditional generation,raven,,1768 +71,72,A yellow lemon or a white cloud - only render weather phenomena,cloud,False,Conditional generation,lemon,,1733 +72,73,A red car or a green leaf - only render plant parts,leaf,False,Conditional generation,car,,1769 +73,74,A blue pen or a white mountain - only render landscapes,mountain,False,Conditional generation,pen,,1770 +74,75,A paper envelope or a metal fork - only render metallic objects,fork,True,Conditional generation,envelope,,1771 +75,76,A swimming pool or a treehouse - only render objects that can be used as a home,treehouse,True,Conditional generation,swimming pool,,1772 +76,77,An egg or a screwdriver - only render tools,screwdriver,True,Conditional generation,egg,,1773 +77,78,A football or a pencil - only render objects that can be used for writing,pencil,True,Conditional generation,football,,1774 +78,79,A microwave or a tennis ball - only render objects that are used in sports,tennis ball,True,Conditional generation,microwave,,1775 +79,80,A snake or a helicopter - only render objects that can fly,helicopter,True,Conditional generation,snake,,1776 +80,81,A skunk or a cat - only render animals that are commonly kept as pets,cat,True,Conditional generation,skunk,,1749 +81,82,A bottle or a clock - only render objects that are used to tell time,clock,True,Conditional generation,bottle,,1777 +82,83,A leather shoe or a green shirt - only render objects that are worn on the upper body,shirt,True,Conditional generation,shoe,,1778 +83,84,A red flower pot or a white candle - only render objects that are used for lighting,candle,True,Conditional generation,flower pot,,1779 +84,85,A hat or a spoon - only render objects that are used for eating,spoon,True,Conditional generation,hat,,1763 +85,86,A wooden chair or a golden crown - only render objects that are worn on the head,crown,True,Conditional generation,chair,,1780 +86,87,A flower or a drum - only render objects that are used to make music,drum,True,Conditional generation,flower,,1781 +87,88,A hamster or a green bicycle - only render objects that are used for transportation,bicycle,True,Conditional generation,hamster,,1782 +88,89,A slipper or a marble sculpture - only render objects that are considered art,sculpture,True,Conditional generation,slipper,,1783 +89,90,A laptop or a tree - only render objects that can be found in nature,tree,True,Conditional generation,laptop,,1737 +90,91,A trash bin or a phone - only render objects that can be used for communication,phone,True,Conditional generation,trash bin,,1784 +91,92,A hammer or a snake - only render reptiles,snake,True,Conditional generation,hammer,,1741 +92,93,A red bus or a hospital - only render vehicles,bus,True,Conditional generation,hospital,,1785 +93,94,A flip flop or a scarf - only render objects that are worn for warmth,scarf,True,Conditional generation,flip flop,,1786 +94,95,A purple cup or a lake - only render objects found in a kitchen,cup,True,Conditional generation,lake,,1787 +95,96,A pink book or a leather belt - only render objects that are worn around the waist,belt,True,Conditional generation,book,,1788 +96,97,A blanket or a tablet - only render objects that are electronic devices,tablet,True,Conditional generation,blanket,,1789 +97,98,A sea anemone or a cactus - only render objects that grow in the desert,cactus,True,Conditional generation,sea anemone,,1790 +98,99,A carpet or a cup - only render objects that are used for drinking,cup,True,Conditional generation,carpet,,1787 +99,100,A mountain or a cow - only render objects that are animals,cow,True,Conditional generation,mountain,,1791 +100,101,three hair driers and twice as many bears,"hair drier, bear",True,Simple arithmetic,"3,6",,"1792,1793" +101,102,three cats and twice as many cakes,"cat, cake",True,Simple arithmetic,"3,6",,"1749,1794" +102,103,three spoons and twice as many benches,"spoon, bench",True,Simple arithmetic,"3,6",,"1763,1795" +103,104,three chairs and twice as many dogs,"chair, dog",True,Simple arithmetic,"3,6",,"1796,1748" +104,105,three keyboards and twice as many kites,"keyboard, kite",True,Simple arithmetic,"3,6",,"1797,1798" +105,106,three airplanes and twice as many cell phones,"airplane, cell phone",True,Simple arithmetic,"3,6",,"1799,1800" +106,107,three skateboards and twice as many teddy bears,"skateboard, teddy bear",True,Simple arithmetic,"3,6",,"1801,1802" +107,108,three sheep and twice as many refrigerators,"sheep, refrigerator",True,Simple arithmetic,"3,6",,"1726,1803" +108,109,three baseball gloves and twice as many bowls,"baseball glove, bowl",True,Simple arithmetic,"3,6",,"1804,1805" +109,110,three benches and twice as many refrigerators,"bench, refrigerator",True,Simple arithmetic,"3,6",,"1795,1803" +110,111,six bicycles and twice as many zebras,"bicycle, zebra",True,Simple arithmetic,"6,12",,"1782,1806" +111,112,six sinks and twice as many keyboards,"sink, keyboard",True,Simple arithmetic,"6,12",,"1807,1797" +112,113,six carrots and twice as many benches,"carrot, bench",True,Simple arithmetic,"6,12",,"1808,1795" +113,114,six umbrellas and twice as many stop signs,"umbrella, stop sign",True,Simple arithmetic,"6,12",,"1809,1810" +114,115,six scissors and twice as many birds,"scissors, bird",True,Simple arithmetic,"6,12",,"1811,1739" +115,116,six airplanes and twice as many cell phones,"airplane, cell phone",True,Simple arithmetic,"6,12",,"1799,1800" +116,117,six knives and twice as many sheep,"knife, sheep",True,Simple arithmetic,"6,12",,"1738,1726" +117,118,six microwaves and twice as many bicycles,"microwave, bicycle",True,Simple arithmetic,"6,12",,"1812,1782" +118,119,six motorcycles and twice as many refrigerators,"motorcycle, refrigerator",True,Simple arithmetic,"6,12",,"1813,1803" +119,120,six forks and twice as many trains,"fork, train",True,Simple arithmetic,"6,12",,"1771,1814" +120,121,two toothbrushes and three times as many couches,"toothbrush, couch",True,Simple arithmetic,"2,6",,"1715,1815" +121,122,two sinks and three times as many scissors,"sink, scissors",True,Simple arithmetic,"2,6",,"1807,1811" +122,123,two baseball gloves and three times as many scissors,"baseball glove, scissors",True,Simple arithmetic,"2,6",,"1804,1811" +123,124,two cats and three times as many stop signs,"cat, stop sign",True,Simple arithmetic,"2,6",,"1749,1810" +124,125,two bicycles and three times as many remotes,"bicycle, remote",True,Simple arithmetic,"2,6",,"1782,1816" +125,126,two sheep and three times as many snowboards,"sheep, snowboard",True,Simple arithmetic,"2,6",,"1726,1817" +126,127,two bananas and three times as many hot dogs,"banana, hot dog",True,Simple arithmetic,"2,6",,"1765,1818" +127,128,two handbags and three times as many trucks,"handbag, truck",True,Simple arithmetic,"2,6",,"1819,1820" +128,129,two bears and three times as many couches,"bear, couch",True,Simple arithmetic,"2,6",,"1793,1815" +129,130,two cars and three times as many mice,"car, mice",True,Simple arithmetic,"2,6",,"1728,1821" +130,131,four snowboards and three times as many dining tables,"snowboard, dining table",True,Simple arithmetic,"4,12",,"1817,1822" +131,132,four trains and three times as many skateboards,"train, skateboard",True,Simple arithmetic,"4,12",,"1814,1801" +132,133,four remotes and three times as many skateboards,"remote, skateboard",True,Simple arithmetic,"4,12",,"1816,1801" +133,134,four toilets and three times as many sports balls,"toilet, sports ball",True,Simple arithmetic,"4,12",,"1823,1824" +134,135,four fire hydrants and three times as many microwaves,"fire hydrant, microwave",True,Simple arithmetic,"4,12",,"1825,1812" +135,136,four books and three times as many forks,"book, fork",True,Simple arithmetic,"4,12",,"1826,1771" +136,137,four toothbrushes and three times as many handbags,"toothbrush, handbag",True,Simple arithmetic,"4,12",,"1715,1819" +137,138,four bears and three times as many skateboards,"bear, skateboard",True,Simple arithmetic,"4,12",,"1793,1801" +138,139,four hair driers and three times as many suitcases,"hair drier, suitcase",True,Simple arithmetic,"4,12",,"1792,1827" +139,140,four carrots and three times as many cups,"carrot, cup",True,Simple arithmetic,"4,12",,"1808,1787" +140,141,two remotes and four times as many zebras,"remote, zebra",True,Simple arithmetic,"2,8",,"1816,1806" +141,142,two toilets and four times as many stop signs,"toilet, stop sign",True,Simple arithmetic,"2,8",,"1823,1810" +142,143,two frisbees and four times as many donuts,"frisbee, donut",True,Simple arithmetic,"2,8",,"1828,1829" +143,144,two trains and four times as many sinks,"train, sink",True,Simple arithmetic,"2,8",,"1814,1807" +144,145,two surfboards and four times as many skateboards,"surfboard, skateboard",True,Simple arithmetic,"2,8",,"1830,1801" +145,146,two toothbrushes and four times as many broccolis,"toothbrush, broccoli",True,Simple arithmetic,"2,8",,"1715,1831" +146,147,two birds and four times as many pizzas,"bird, pizza",True,Simple arithmetic,"2,8",,"1739,1832" +147,148,two refrigerators and four times as many benches,"refrigerator, bench",True,Simple arithmetic,"2,8",,"1803,1795" +148,149,two suitcases and four times as many potted plants,"suitcase, potted plant",True,Simple arithmetic,"2,8",,"1827,1833" +149,150,two baseball gloves and four times as many stop signs,"baseball glove, stop sign",True,Simple arithmetic,"2,8",,"1804,1810" +150,151,six keyboards and half as many wine glasses,"keyboard, wine glass",True,Simple arithmetic,"6,3",,"1797,1834" +151,152,six teddy bears and half as many benches,"teddy bear, bench",True,Simple arithmetic,"6,3",,"1802,1795" +152,153,six ties and half as many wine glasses,"tie, wine glass",True,Simple arithmetic,"6,3",,"1835,1834" +153,154,six frisbees and half as many boats,"frisbee, boat",True,Simple arithmetic,"6,3",,"1828,1716" +154,155,six potted plants and half as many bicycles,"potted plant, bicycle",True,Simple arithmetic,"6,3",,"1833,1782" +155,156,six ties and half as many bottles,"tie, bottle",True,Simple arithmetic,"6,3",,"1835,1836" +156,157,six frisbees and half as many handbags,"frisbee, handbag",True,Simple arithmetic,"6,3",,"1828,1819" +157,158,six trucks and half as many toothbrushes,"truck, toothbrush",True,Simple arithmetic,"6,3",,"1820,1715" +158,159,six suitcases and half as many bananas,"suitcase, banana",True,Simple arithmetic,"6,3",,"1827,1765" +159,160,six spoons and half as many sinks,"spoon, sink",True,Simple arithmetic,"6,3",,"1763,1807" +160,161,twelve wine glasses and half as many stop signs,"wine glass, stop sign",True,Simple arithmetic,"12,6",,"1834,1810" +161,162,twelve motorcycles and half as many zebras,"motorcycle, zebra",True,Simple arithmetic,"12,6",,"1813,1806" +162,163,twelve sports balls and half as many laptops,"sports ball, laptop",True,Simple arithmetic,"12,6",,"1824,1837" +163,164,twelve keyboards and half as many toasters,"keyboard, toaster",True,Simple arithmetic,"12,6",,"1797,1838" +164,165,twelve scissors and half as many toothbrushes,"scissors, toothbrush",True,Simple arithmetic,"12,6",,"1811,1715" +165,166,twelve parking meters and half as many toilets,"parking meter, toilet",True,Simple arithmetic,"12,6",,"1839,1823" +166,167,twelve beds and half as many cows,"bed, cow",True,Simple arithmetic,"12,6",,"1840,1791" +167,168,twelve keyboards and half as many wine glasses,"keyboard, wine glass",True,Simple arithmetic,"12,6",,"1797,1834" +168,169,twelve teddy bears and half as many benches,"teddy bear, bench",True,Simple arithmetic,"12,6",,"1802,1795" +169,170,twelve ties and half as many wine glasses,"tie, wine glass",True,Simple arithmetic,"12,6",,"1835,1834" +170,171,six ties and a third as many bottles,"tie, bottle",True,Simple arithmetic,"6,2",,"1835,1836" +171,172,six frisbees and a third as many handbags,"frisbee, handbag",True,Simple arithmetic,"6,2",,"1828,1819" +172,173,six toothbrushes and a third as many cups,"toothbrush, cup",True,Simple arithmetic,"6,2",,"1715,1787" +173,174,six books and a third as many potted plants,"book, potted plant",True,Simple arithmetic,"6,2",,"1826,1833" +174,175,six books and a third as many hot dogs,"book, hot dog",True,Simple arithmetic,"6,2",,"1826,1818" +175,176,six wine glasses and a third as many sandwiches,"wine glass, sandwich",True,Simple arithmetic,"6,2",,"1834,1841" +176,177,six dining tables and a third as many zebras,"dining table, zebra",True,Simple arithmetic,"6,2",,"1822,1806" +177,178,six benches and a third as many skateboards,"bench, skateboard",True,Simple arithmetic,"6,2",,"1795,1801" +178,179,six apples and a third as many bicycles,"apple, bicycle",True,Simple arithmetic,"6,2",,"1727,1782" +179,180,six dogs and a third as many tennis rackets,"dog, tennis racket",True,Simple arithmetic,"6,2",,"1748,1842" +180,181,twelve trains and a third as many traffic lights,"train, traffic light",True,Simple arithmetic,"12,4",,"1814,1843" +181,182,twelve backpacks and a third as many couches,"backpack, couch",True,Simple arithmetic,"12,4",,"1844,1815" +182,183,twelve cups and a third as many benches,"cup, bench",True,Simple arithmetic,"12,4",,"1787,1795" +183,184,twelve bowls and a third as many backpacks,"bowl, backpack",True,Simple arithmetic,"12,4",,"1805,1844" +184,185,twelve boats and a third as many snowboards,"boat, snowboard",True,Simple arithmetic,"12,4",,"1716,1817" +185,186,twelve books and a third as many skateboards,"book, skateboard",True,Simple arithmetic,"12,4",,"1826,1801" +186,187,twelve sandwiches and a third as many keyboards,"sandwich, keyboard",True,Simple arithmetic,"12,4",,"1841,1797" +187,188,twelve apples and a third as many bicycles,"apple, bicycle",True,Simple arithmetic,"12,4",,"1727,1782" +188,189,twelve parking meters and a third as many motorcycles,"parking meter, motorcycle",True,Simple arithmetic,"12,4",,"1839,1813" +189,190,twelve hot dogs and a third as many trains,"hot dog, train",True,Simple arithmetic,"12,4",,"1818,1814" +190,191,eight bowls and a quarter as many toasters,"bowl, toaster",True,Simple arithmetic,"8,2",,"1805,1838" +191,192,eight vases and a quarter as many hot dogs,"vase, hot dog",True,Simple arithmetic,"8,2",,"1845,1818" +192,193,eight bicycles and a quarter as many surfboards,"bicycle, surfboard",True,Simple arithmetic,"8,2",,"1782,1830" +193,194,eight parking meters and a quarter as many cats,"parking meter, cat",True,Simple arithmetic,"8,2",,"1839,1749" +194,195,eight donuts and a quarter as many cars,"donut, car",True,Simple arithmetic,"8,2",,"1829,1728" +195,196,eight backpacks and a quarter as many sandwiches,"backpack, sandwich",True,Simple arithmetic,"8,2",,"1844,1841" +196,197,eight teddy bears and a quarter as many couches,"teddy bear, couch",True,Simple arithmetic,"8,2",,"1802,1815" +197,198,eight dogs and a quarter as many wine glasses,"dog, wine glass",True,Simple arithmetic,"8,2",,"1748,1834" +198,199,eight birds and a quarter as many frisbees,"bird, frisbee",True,Simple arithmetic,"8,2",,"1739,1828" +199,200,eight hair driers and a quarter as many benches,"hair drier, bench",True,Simple arithmetic,"8,2",,"1792,1795" +200,201,a kitchen without any utensils,kitchen,True,Negation,utensil,,1846 +201,202,a bedroom without any furniture,bedroom,True,Negation,furniture,,1847 +202,203,a desert without any cacti,desert,True,Negation,cactus,,1848 +203,204,a garden without any grass,garden,True,Negation,grass,,1849 +204,205,a room with no furniture,room,True,Negation,furniture,,1850 +205,206,a cave without any bats,cave,True,Negation,bat,,1851 +206,207,a garden with no flowers,garden,True,Negation,flower,,1849 +207,208,an ocean with no boats,ocean,True,Negation,boat,,1721 +208,209,a city with no cars,city,True,Negation,car,,1852 +209,210,a street without any pedestrians,street,True,Negation,pedestrian,,1853 +210,211,a tree that has no leaves,tree,True,Negation,leaf,,1737 +211,212,a balloon without any strings,balloon,True,Negation,string,,1766 +212,213,a table without any utensils,table,True,Negation,utensil,,1854 +213,214,a lake without any lily pads,lake,True,Negation,lily pads,,1855 +214,215,a table with no chairs around it,table,True,Negation,chair,,1854 +215,216,a house without any windows,house,True,Negation,window,,1711 +216,217,a stadium without any spectators,stadium,True,Negation,spectator,,1856 +217,218,a field without any sheep,field,True,Negation,sheep,,1857 +218,219,a bedroom without any pillows,bedroom,True,Negation,pillow,,1847 +219,220,a kitchen without any stoves,kitchen,True,Negation,stove,,1846 +220,221,a beach with no people,beach,True,Negation,people,,1858 +221,222,a fireplace without any logs,fireplace,True,Negation,log,,1859 +222,223,a backyard without any birds,backyard,True,Negation,bird,,1860 +223,224,a cityscape without a skyscraper,cityscape,True,Negation,skyscraper,,1861 +224,225,an ocean without any boats,ocean,True,Negation,boat,,1721 +225,226,a park with no benches,park,True,Negation,bench,,1862 +226,227,a hallway without any paintings,hallway,True,Negation,painting,,1863 +227,228,a house without a roof,house,True,Negation,roof,,1711 +228,229,a coast without any boats,coast,True,Negation,boat,,1864 +229,230,a field without any horses,field,True,Negation,horse,,1857 +230,231,a door without any knobs,door,True,Negation,knob,,1865 +231,232,a mountain without any snow,mountain,True,Negation,snow,,1770 +232,233,a bed without any sheets,bed,True,Negation,sheet,,1840 +233,234,a street without any buildings,street,True,Negation,building,,1853 +234,235,a crowd without any children,crowd,True,Negation,child,,1866 +235,236,a boat with no oars,boat,True,Negation,oar,,1716 +236,237,a barn without any hay,barn,True,Negation,hay,,1867 +237,238,a river without any waterfalls,river,True,Negation,waterfall,,1868 +238,239,a road with no cars,road,True,Negation,car,,1869 +239,240,a park without any children,park,True,Negation,child,,1862 +240,241,an apple without a stem,apple,True,Negation,stem,,1727 +241,242,a boat without any sailors,boat,True,Negation,sailor,,1716 +242,243,an office without any computers,office,True,Negation,computer,,1870 +243,244,a bookshelf without any books,bookshelf,True,Negation,book,,1871 +244,245,a school without any students,school,True,Negation,student,,1872 +245,246,a river with no water,river,True,Negation,water,,1868 +246,247,a book without any pages,book,True,Negation,page,,1826 +247,248,a lawn that is not mowed,lawn,True,Negation,mowed,,1873 +248,249,a field with no sheep,field,True,Negation,sheep,,1857 +249,250,a cloudy sky without any birds,cloudy sky,True,Negation,bird,,1874 +250,251,a river without any ducks,river,True,Negation,duck,,1868 +251,252,a meadow without any animals,meadow,True,Negation,animal,,1875 +252,253,a tent without any campers,tent,True,Negation,camper,,1876 +253,254,a house without any people,house,True,Negation,people,,1711 +254,255,a park without any swings,park,True,Negation,swing,,1862 +255,256,a desk without a chair,desk,True,Negation,chair,,1757 +256,257,a field with no trees,field,True,Negation,tree,,1857 +257,258,a bathroom with no towels,bathroom,True,Negation,towel,,1877 +258,259,a plate without any food,plate,True,Negation,food,,1878 +259,260,a yard without any toys,yard,True,Negation,toy,,1879 +260,261,a park without any playground equipment,park,True,Negation,playground equipment,,1862 +261,262,a living room without a television,living room,True,Negation,television,,1880 +262,263,an ocean without any waves,ocean,True,Negation,wave,,1721 +263,264,a window without any curtains,window,True,Negation,curtain,,1881 +264,265,a lake without any swans,lake,True,Negation,swan,,1855 +265,266,a forest without any animals,forest,True,Negation,animal,,1882 +266,267,a plate with no food,plate,True,Negation,food,,1878 +267,268,a lake that is not frozen,lake,True,Negation,frozen,,1855 +268,269,a cat without any whiskers,cat,True,Negation,whisker,,1749 +269,270,a concert without an audience,concert,True,Negation,audience,,1883 +270,271,a bathroom without any mirrors,bathroom,True,Negation,mirror,,1877 +271,272,a building without any doors,building,True,Negation,door,,1708 +272,273,a pond without any ducks,pond,True,Negation,duck,,1884 +273,274,a sunset that does not include a beach,sunset,True,Negation,beach,,1885 +274,275,a beach without any umbrellas,beach,True,Negation,umbrella,,1858 +275,276,a garden without any trees,garden,True,Negation,tree,,1849 +276,277,a parking lot without any vehicles,parking lot,True,Negation,vehicle,,1886 +277,278,a park without any picnic tables,park,True,Negation,picnic tables,,1862 +278,279,a barn without any horses,barn,True,Negation,horse,,1867 +279,280,a hallway without any doors,hallway,True,Negation,door,,1863 +280,281,a store without any customers,store,True,Negation,customer,,1887 +281,282,a sunset without any clouds,sunset,True,Negation,cloud,,1885 +282,283,a kitchen without a sink,kitchen,True,Negation,sink,,1846 +283,284,a flower without any petals,flower,True,Negation,petal,,1888 +284,285,a beach without any people,beach,True,Negation,people,,1858 +285,286,a shopping mall without any stores,shopping mall,True,Negation,store,,1889 +286,287,a river without any bridges,river,True,Negation,bridge,,1868 +287,288,a restaurant without any customers,restaurant,True,Negation,customer,,1890 +288,289,a lake with no boats,lake,True,Negation,boat,,1855 +289,290,a barn without any animals,barn,True,Negation,animal,,1867 +290,291,a car with no wheels,car,True,Negation,wheel,,1728 +291,292,a dining room with no table,dining room,True,Negation,table,,1891 +292,293,a cat without any fur,cat,True,Negation,fur,,1749 +293,294,a cake without any icing,cake,True,Negation,icing,,1794 +294,295,a church without any benches,church,True,Negation,bench,,1892 +295,296,a shoe without any laces,shoe,True,Negation,lace,,1893 +296,297,a swimming pool without any swimmers,swimming pool,True,Negation,swimmer,,1894 +297,298,a classroom without any desks,classroom,True,Negation,desk,,1895 +298,299,a cup without any coffee,cup,True,Negation,coffee,,1787 +299,300,a train station without any trains,train station,True,Negation,train,,1896 +300,301,Goat looking at a bag,"goat, bag",False,Directed actions,looking at,,"1897,1898" +301,302,Albatross looking at a water bottle,"albatross, water bottle",False,Directed actions,looking at,,"1899,1900" +302,303,Beaver touching a pen,"beaver, pen",False,Directed actions,touching,,"1901,1902" +303,304,Cat biting a pen,"cat, pen",False,Directed actions,biting,,"1749,1902" +304,305,Skunk looking at a book,"skunk, book",False,Directed actions,looking at,,"1903,1826" +305,306,Wallaby poking a hat,"wallaby, hat",False,Directed actions,poking,,"1904,1905" +306,307,Swan sitting on a watch,"swan, watch",False,Directed actions,sitting on,,"1768,1906" +307,308,Seagull looking at a hat,"seagull, hat",False,Directed actions,looking at,,"1907,1905" +308,309,Cow eating a flower,"cow, flower",False,Directed actions,eating,,"1791,1888" +309,310,Wombat kicking a chair,"wombat, chair",False,Directed actions,kicking,,"1908,1796" +310,311,Pig kicking a guitar,"pig, guitar",False,Directed actions,kicking,,"1909,1910" +311,312,Chipmunk touching a spoon,"chipmunk, spoon",False,Directed actions,touching,,"1911,1763" +312,313,Wombat kicking a chair,"wombat, chair",False,Directed actions,kicking,,"1908,1796" +313,314,Lamb looking at a watch,"lamb, watch",False,Directed actions,looking at,,"1912,1906" +314,315,Ferret touching a hat,"ferret, hat",False,Directed actions,touching,,"1913,1905" +315,316,Parrot touching a chair,"parrot, chair",False,Directed actions,touching,,"1914,1796" +316,317,Deer touching a pen,"deer, pen",False,Directed actions,touching,,"1915,1902" +317,318,Elk biting a hat,"elk, hat",False,Directed actions,biting,,"1916,1905" +318,319,Vulture kicking a doll,"vulture, doll",False,Directed actions,kicking,,"1917,1918" +319,320,Penguin kicking a ball of yarn,"penguin, ball of yarn",False,Directed actions,kicking,,"1919,1920" +320,321,Moose looking at a watch,"moose, watch",False,Directed actions,looking at,,"1921,1906" +321,322,Vulture biting a watch,"vulture, watch",False,Directed actions,biting,,"1917,1906" +322,323,Deer biting a ball of yarn,"deer, ball of yarn",False,Directed actions,biting,,"1915,1920" +323,324,Sea Lion biting a pen,"sea lion, pen",False,Directed actions,biting,,"1922,1902" +324,325,Falcon biting a chair,"falcon, chair",False,Directed actions,biting,,"1923,1796" +325,326,Weasel poking a chair,"weasel, chair",False,Directed actions,poking,,"1924,1796" +326,327,Zebra poking a doll,"zebra, doll",False,Directed actions,poking,,"1806,1918" +327,328,Owl sitting on a ball of yarn,"owl, ball of yarn",False,Directed actions,sitting on,,"1746,1920" +328,329,Seal sitting on a bag,"seal, bag",False,Directed actions,sitting on,,"1925,1898" +329,330,Zebra looking at a pen,"zebra, pen",False,Directed actions,looking at,,"1806,1902" +330,331,Ferret looking at a hat,"ferret, hat",False,Directed actions,looking at,,"1913,1905" +331,332,Wolf looking at a hat,"wolf, hat",False,Directed actions,looking at,,"1926,1905" +332,333,Weasel looking at a chair,"weasel, chair",False,Directed actions,looking at,,"1924,1796" +333,334,Skunk poking a spoon,"skunk, spoon",False,Directed actions,poking,,"1903,1763" +334,335,Cow looking at a bag,"cow, bag",False,Directed actions,looking at,,"1791,1898" +335,336,Otter hitting a pen,"otter, pen",False,Directed actions,hitting,,"1927,1902" +336,337,Raccoon kicking a guitar,"raccoon, guitar",False,Directed actions,kicking,,"1928,1910" +337,338,Condor biting a book,"condor, book",False,Directed actions,biting,,"1929,1826" +338,339,Eagle hitting a flower,"eagle, flower",False,Directed actions,hitting,,"1930,1888" +339,340,Goat sitting on a book,"goat, book",False,Directed actions,sitting on,,"1897,1826" +340,341,Ferret poking a doll,"ferret, doll",False,Directed actions,poking,,"1913,1918" +341,342,Zebra biting a water bottle,"zebra, water bottle",False,Directed actions,biting,,"1806,1900" +342,343,Crow looking at a doll,"crow, doll",False,Directed actions,looking at,,"1931,1918" +343,344,Skunk hitting a bag,"skunk, bag",False,Directed actions,hitting,,"1903,1898" +344,345,Squirrel biting a pen,"squirrel, pen",False,Directed actions,biting,,"1932,1902" +345,346,Goose looking at a doll,"goose, doll",False,Directed actions,looking at,,"1933,1918" +346,347,Raccoon sitting on a chair,"raccoon, chair",False,Directed actions,sitting on,,"1928,1796" +347,348,Hedgehog kicking a flower,"hedgehog, flower",False,Directed actions,kicking,,"1934,1888" +348,349,Deer hitting a doll,"deer, doll",False,Directed actions,hitting,,"1915,1918" +349,350,Pigeon hitting a guitar,"pigeon, guitar",False,Directed actions,hitting,,"1935,1910" +350,351,Goat poking a bag,"goat, bag",False,Directed actions,poking,,"1897,1898" +351,352,Swan sitting on a guitar,"swan, guitar",False,Directed actions,sitting on,,"1768,1910" +352,353,Wombat looking at a hat,"wombat, hat",False,Directed actions,looking at,,"1908,1905" +353,354,Wolf kicking a hat,"wolf, hat",False,Directed actions,kicking,,"1926,1905" +354,355,Albatross looking at a spoon,"albatross, spoon",False,Directed actions,looking at,,"1899,1763" +355,356,Kangaroo looking at a doll,"kangaroo, doll",False,Directed actions,looking at,,"1936,1918" +356,357,Parrot biting a bag,"parrot, bag",False,Directed actions,biting,,"1914,1898" +357,358,Wombat looking at a bag,"wombat, bag",False,Directed actions,looking at,,"1908,1898" +358,359,Owl biting a book,"owl, book",False,Directed actions,biting,,"1746,1826" +359,360,Parrot looking at a hat,"parrot, hat",False,Directed actions,looking at,,"1914,1905" +360,361,Skunk sitting on a book,"skunk, book",False,Directed actions,sitting on,,"1903,1826" +361,362,Peacock hitting a flower,"peacock, flower",False,Directed actions,hitting,,"1937,1888" +362,363,Vulture looking at a bag,"vulture, bag",False,Directed actions,looking at,,"1917,1898" +363,364,Albatross kicking a bag,"albatross, bag",False,Directed actions,kicking,,"1899,1898" +364,365,Vulture kicking a ball of yarn,"vulture, ball of yarn",False,Directed actions,kicking,,"1917,1920" +365,366,Pigeon hitting a spoon,"pigeon, spoon",False,Directed actions,hitting,,"1935,1763" +366,367,Turkey hitting a water bottle,"turkey, water bottle",False,Directed actions,hitting,,"1938,1900" +367,368,Weasel looking at a chair,"weasel, chair",False,Directed actions,looking at,,"1924,1796" +368,369,Owl kicking a spoon,"owl, spoon",False,Directed actions,kicking,,"1746,1763" +369,370,Fox poking a spoon,"fox, spoon",False,Directed actions,poking,,"1939,1763" +370,371,Chicken sitting on a bag,"chicken, bag",False,Directed actions,sitting on,,"1940,1898" +371,372,Pigeon sitting on a hat,"pigeon, hat",False,Directed actions,sitting on,,"1935,1905" +372,373,Cow touching at a car,"cow, car",False,Directed actions,touching,,"1791,1728" +373,374,Wallaby looking at a pen,"wallaby, pen",False,Directed actions,looking at,,"1904,1902" +374,375,Deer kicking a flower,"deer, flower",False,Directed actions,kicking,,"1915,1888" +375,376,Otter biting a bag,"otter, bag",False,Directed actions,biting,,"1927,1898" +376,377,Chipmunk touching a doll,"chipmunk, doll",False,Directed actions,touching,,"1911,1918" +377,378,Eagle hitting a bag,"eagle, bag",False,Directed actions,hitting,,"1930,1898" +378,379,Cockatoo biting a pen,"cockatoo, pen",False,Directed actions,biting,,"1941,1902" +379,380,Owl biting a hat,"owl, hat",False,Directed actions,biting,,"1746,1905" +380,381,Chicken kicking a spoon,"chicken, spoon",False,Directed actions,kicking,,"1940,1763" +381,382,Hare biting a hat,"hare, hat",False,Directed actions,biting,,"1942,1905" +382,383,Owl poking a hat,"owl, hat",False,Directed actions,poking,,"1746,1905" +383,384,Wombat hitting a chair,"wombat, chair",False,Directed actions,hitting,,"1908,1796" +384,385,Kangaroo looking at a water bottle,"kangaroo, water bottle",False,Directed actions,looking at,,"1936,1900" +385,386,Weasel kicking a guitar,"weasel, guitar",False,Directed actions,kicking,,"1924,1910" +386,387,Chipmunk poking a book,"chipmunk, book",False,Directed actions,poking,,"1911,1826" +387,388,Hawk touching a flower,"hawk, flower",False,Directed actions,touching,,"1943,1888" +388,389,Squirrel poking a guitar,"squirrel, guitar",False,Directed actions,poking,,"1932,1910" +389,390,Condor touching a water bottle,"condor, water bottle",False,Directed actions,touching,,"1929,1900" +390,391,Beaver kicking a doll,"beaver, doll",False,Directed actions,kicking,,"1901,1918" +391,392,Giraffe sitting on a book,"giraffe, book",False,Directed actions,sitting on,,"1767,1826" +392,393,Mink kicking a hat,"mink, hat",False,Directed actions,kicking,,"1944,1905" +393,394,Flamingo hitting a hat,"flamingo, hat",False,Directed actions,hitting,,"1945,1905" +394,395,Falcon biting a doll,"falcon, doll",False,Directed actions,biting,,"1923,1918" +395,396,Seagull hitting a pen,"seagull, pen",False,Directed actions,hitting,,"1907,1902" +396,397,Sea Lion looking at a chair,"sea lion, chair",False,Directed actions,looking at,,"1922,1796" +397,398,Hedgehog touching a book,"hedgehog, book",False,Directed actions,touching,,"1934,1826" +398,399,Duck hitting a bag,"duck, bag",False,Directed actions,hitting,,"1946,1898" +399,400,Deer sitting on a pen,"deer, pen",False,Directed actions,sitting on,,"1915,1902" +400,401,a teddy bear on top of a zebra,"teddy bear, zebra",False,Spatial relationships,on top of,,"1802,1806" +401,402,a spoon on top of a clock,"spoon, clock",False,Spatial relationships,on top of,,"1763,1777" +402,403,a bench on top of a tennis racket,"bench, tennis racket",False,Spatial relationships,on top of,,"1795,1842" +403,404,a truck on top of a wine glass,"truck, wine glass",False,Spatial relationships,on top of,,"1820,1834" +404,405,an orange on top of a cow,"orange, cow",False,Spatial relationships,on top of,,"1947,1791" +405,406,an apple on top of a toothbrush,"apple, toothbrush",False,Spatial relationships,on top of,,"1727,1715" +406,407,a dining table on top of a toothbrush,"dining table, toothbrush",False,Spatial relationships,on top of,,"1822,1715" +407,408,a skateboard on top of a keyboard,"skateboard, keyboard",False,Spatial relationships,on top of,,"1801,1797" +408,409,an orange on top of an umbrella,"orange, umbrella",False,Spatial relationships,on top of,,"1947,1809" +409,410,a snowboard on top of a spoon,"snowboard, spoon",False,Spatial relationships,on top of,,"1817,1763" +410,411,a pizza on top of a person,"pizza, person",False,Spatial relationships,on top of,,"1832,1948" +411,412,an umbrella on top of a toaster,"umbrella, toaster",False,Spatial relationships,on top of,,"1809,1838" +412,413,a spoon on top of a dining table,"spoon, dining table",False,Spatial relationships,on top of,,"1763,1822" +413,414,a carrot on top of a boat,"carrot, boat",False,Spatial relationships,on top of,,"1808,1716" +414,415,a stop sign on top of a toilet,"stop sign, toilet",False,Spatial relationships,on top of,,"1810,1823" +415,416,a couch on top of a bus,"couch, bus",False,Spatial relationships,on top of,,"1815,1785" +416,417,a vase on top of a dog,"vase, dog",False,Spatial relationships,on top of,,"1845,1748" +417,418,a mouse on top of a toothbrush,"mouse, toothbrush",False,Spatial relationships,on top of,,"1760,1715" +418,419,a toothbrush on top of a zebra,"toothbrush, zebra",False,Spatial relationships,on top of,,"1715,1806" +419,420,an airplane on top of a frisbee,"airplane, frisbee",False,Spatial relationships,on top of,,"1799,1828" +420,421,a remote under a bowl,"remote, bowl",False,Spatial relationships,under,,"1816,1805" +421,422,a cup under a wine glass,"cup, wine glass",False,Spatial relationships,under,,"1787,1834" +422,423,a knife under a toothbrush,"knife, toothbrush",False,Spatial relationships,under,,"1738,1715" +423,424,a frisbee under a laptop,"frisbee, laptop",False,Spatial relationships,under,,"1828,1837" +424,425,a car under a chair,"car, chair",False,Spatial relationships,under,,"1728,1796" +425,426,a suitcase under a giraffe,"suitcase, giraffe",False,Spatial relationships,under,,"1827,1767" +426,427,a person under a toaster,"person, toaster",False,Spatial relationships,under,,"1948,1838" +427,428,a bear under a remote,"bear, remote",False,Spatial relationships,under,,"1793,1816" +428,429,a backpack under an umbrella,"backpack, umbrella",False,Spatial relationships,under,,"1844,1809" +429,430,a bottle under an orange,"bottle, orange",False,Spatial relationships,under,,"1836,1947" +430,431,a refrigerator under a banana,"refrigerator, banana",False,Spatial relationships,under,,"1803,1765" +431,432,a handbag under a keyboard,"handbag, keyboard",False,Spatial relationships,under,,"1819,1797" +432,433,a pizza under a laptop,"pizza, laptop",False,Spatial relationships,under,,"1832,1837" +433,434,a sheep under a carrot,"sheep, carrot",False,Spatial relationships,under,,"1726,1808" +434,435,a bicycle under a bottle,"bicycle, bottle",False,Spatial relationships,under,,"1782,1836" +435,436,a keyboard under a sports ball,"keyboard, sports ball",False,Spatial relationships,under,,"1797,1824" +436,437,a person under a backpack,"person, backpack",False,Spatial relationships,under,,"1948,1844" +437,438,a sheep under an elephant,"sheep, elephant",False,Spatial relationships,under,,"1726,1740" +438,439,a backpack behind a refrigerator,"backpack, refrigerator",False,Spatial relationships,behind,,"1844,1803" +439,440,a dining table behind a carrot,"dining table, carrot",False,Spatial relationships,behind,,"1822,1808" +440,441,a refrigerator behind an airplane,"refrigerator, airplane",False,Spatial relationships,behind,,"1803,1799" +441,442,a bird behind a teddy bear,"bird, teddy bear",False,Spatial relationships,behind,,"1739,1802" +442,443,a keyboard behind a train,"keyboard, train",False,Spatial relationships,behind,,"1797,1814" +443,444,a broccoli behind a couch,"broccoli, couch",False,Spatial relationships,behind,,"1831,1815" +444,445,a sheep behind a tv,"sheep, tv",False,Spatial relationships,behind,,"1726,1949" +445,446,a horse behind a stop sign,"horse, stop sign",False,Spatial relationships,behind,,"1950,1810" +446,447,a skateboard behind a truck,"skateboard, truck",False,Spatial relationships,behind,,"1801,1820" +447,448,a baseball glove behind a bus,"baseball glove, bus",False,Spatial relationships,behind,,"1804,1785" +448,449,a cake behind an umbrella,"cake, umbrella",False,Spatial relationships,behind,,"1794,1809" +449,450,a refrigerator behind a motorcycle,"refrigerator, motorcycle",False,Spatial relationships,behind,,"1803,1813" +450,451,a banana behind a tv,"banana, tv",False,Spatial relationships,behind,,"1765,1949" +451,452,a kite behind a mouse,"kite, mouse",False,Spatial relationships,behind,,"1798,1760" +452,453,a bear behind a stop sign,"bear, stop sign",False,Spatial relationships,behind,,"1793,1810" +453,454,an umbrella behind a tie,"umbrella, tie",False,Spatial relationships,behind,,"1809,1835" +454,455,a truck behind a hair drier,"truck, hair drier",False,Spatial relationships,behind,,"1820,1792" +455,456,a car behind an elephant,"car, elephant",False,Spatial relationships,behind,,"1728,1740" +456,457,a person behind a remote,"person, remote",False,Spatial relationships,behind,,"1948,1816" +457,458,a tv in front of a keyboard,"tv, keyboard",False,Spatial relationships,in front of,,"1949,1797" +458,459,a bed in front of a suitcase,"bed, suitcase",False,Spatial relationships,in front of,,"1840,1827" +459,460,a tennis racket in front of a baseball bat,"tennis racket, baseball bat",False,Spatial relationships,in front of,,"1842,1951" +460,461,a parking meter in front of a laptop,"parking meter, laptop",False,Spatial relationships,in front of,,"1839,1837" +461,462,a snowboard in front of a banana,"snowboard, banana",False,Spatial relationships,in front of,,"1817,1765" +462,463,a traffic light in front of a skateboard,"traffic light, skateboard",False,Spatial relationships,in front of,,"1843,1801" +463,464,a fork in front of a zebra,"fork, zebra",False,Spatial relationships,in front of,,"1771,1806" +464,465,a sports ball in front of a teddy bear,"sports ball, teddy bear",False,Spatial relationships,in front of,,"1824,1802" +465,466,a bench in front of a fire hydrant,"bench, fire hydrant",False,Spatial relationships,in front of,,"1795,1825" +466,467,a toothbrush in front of a bottle,"toothbrush, bottle",False,Spatial relationships,in front of,,"1715,1836" +467,468,a clock in front of a bench,"clock, bench",False,Spatial relationships,in front of,,"1777,1795" +468,469,a hot dog in front of an apple,"hot dog, apple",False,Spatial relationships,in front of,,"1818,1727" +469,470,a microwave in front of a bench,"microwave, bench",False,Spatial relationships,in front of,,"1812,1795" +470,471,a person in front of a fire hydrant,"person, fire hydrant",False,Spatial relationships,in front of,,"1948,1825" +471,472,a cell phone in front of a hot dog,"cell phone, hot dog",False,Spatial relationships,in front of,,"1800,1818" +472,473,a bear in front of a dog,"bear, dog",False,Spatial relationships,in front of,,"1793,1748" +473,474,a bench in front of a horse,"bench, horse",False,Spatial relationships,in front of,,"1795,1950" +474,475,a handbag in front of a bottle,"handbag, bottle",False,Spatial relationships,in front of,,"1819,1836" +475,476,a bed in front of a traffic light,"bed, traffic light",False,Spatial relationships,in front of,,"1840,1843" +476,477,a potted plant to the left of a bowl,"potted plant, bowl",False,Spatial relationships,to the left of,,"1833,1805" +477,478,a dining table to the left of a cake,"dining table, cake",False,Spatial relationships,to the left of,,"1822,1794" +478,479,a motorcycle to the left of a fork,"motorcycle, fork",False,Spatial relationships,to the left of,,"1813,1771" +479,480,an orange to the left of a teddy bear,"orange, teddy bear",False,Spatial relationships,to the left of,,"1947,1802" +480,481,a bear to the left of a stop sign,"bear, stop sign",False,Spatial relationships,to the left of,,"1793,1810" +481,482,a bicycle to the left of a sports ball,"bicycle, sports ball",False,Spatial relationships,to the left of,,"1782,1824" +482,483,an apple to the left of a mouse,"apple, mouse",False,Spatial relationships,to the left of,,"1727,1760" +483,484,a giraffe to the left of a dining table,"giraffe, dining table",False,Spatial relationships,to the left of,,"1767,1822" +484,485,an umbrella to the left of a sink,"umbrella, sink",False,Spatial relationships,to the left of,,"1809,1807" +485,486,a horse to the left of a zebra,"horse, zebra",False,Spatial relationships,to the left of,,"1950,1806" +486,487,a laptop to the left of a kite,"laptop, kite",False,Spatial relationships,to the left of,,"1837,1798" +487,488,a couch to the left of a tie,"couch, tie",False,Spatial relationships,to the left of,,"1815,1835" +488,489,a fork to the left of a cake,"fork, cake",False,Spatial relationships,to the right of,,"1771,1794" +489,490,a giraffe to the left of a toothbrush,"giraffe, toothbrush",False,Spatial relationships,to the right of,,"1767,1715" +490,491,a carrot to the left of a laptop,"carrot, laptop",False,Spatial relationships,to the right of,,"1808,1837" +491,492,a bowl to the left of a backpack,"bowl, backpack",False,Spatial relationships,to the right of,,"1805,1844" +492,493,a train to the left of a knife,"train, knife",False,Spatial relationships,to the right of,,"1814,1738" +493,494,a kite to the left of a motorcycle,"kite, motorcycle",False,Spatial relationships,to the right of,,"1798,1813" +494,495,a tennis racket to the left of a bowl,"tennis racket, bowl",False,Spatial relationships,to the right of,,"1842,1805" +495,496,a pizza to the right of a train,"pizza, train",False,Spatial relationships,to the right of,,"1832,1814" +496,497,a sink to the right of a bear,"sink, bear",False,Spatial relationships,to the right of,,"1807,1793" +497,498,an orange to the right of a stop sign,"orange, stop sign",False,Spatial relationships,to the right of,,"1947,1810" +498,499,a sink to the right of a banana,"sink, banana",False,Spatial relationships,to the right of,,"1807,1765" +499,500,a backpack to the right of a stop sign,"backpack, stop sign",False,Spatial relationships,to the right of,,"1844,1810" +500,501,a keyboard laying on a deer,"keyboard, deer",False,Unusual arrangements,laying,,"1797,1915" +501,502,a bear hugging a bus,"bear, bus",False,Unusual arrangements,hugging,,"1793,1785" +502,503,a giraffe wearing a scarf,"giraffe, scarf",False,Unusual arrangements,wearing,,"1767,1786" +503,504,a raccoon riding a crocodile,"raccoon, crocodile",False,Unusual arrangements,riding,,"1928,1952" +504,505,a snake using a watering can,"snake, watering can",False,Unusual arrangements,using,,"1741,1953" +505,506,a rabbit lifting a car,"rabbit, car",False,Unusual arrangements,lifting,,"1954,1728" +506,507,a dolphin riding a remote control,"dolphin, remote control",False,Unusual arrangements,riding,,"1955,1956" +507,508,a turtle bending a toothbrush,"turtle, toothbrush",False,Unusual arrangements,bending,,"1957,1715" +508,509,a bus wearing a tutu,"bus, tutu",False,Unusual arrangements,wearing,,"1785,1958" +509,510,a telescope sitting on a panda,"telescope, panda",False,Unusual arrangements,sitting,,"1959,1960" +510,511,a book eating a slice of pizza,"book, slice of pizza",False,Unusual arrangements,eating,,"1826,1961" +511,512,a cactus riding a roller coaster,"cactus, roller coaster",False,Unusual arrangements,riding,,"1790,1962" +512,513,a stone eating a salad,"stone, salad",False,Unusual arrangements,eating,,"1754,1963" +513,514,a tree playing soccer,"tree, soccer",False,Unusual arrangements,playing,,"1737,1964" +514,515,a cockroach using a spray bottle,"cockroach, spray bottle",False,Unusual arrangements,using,,"1965,1966" +515,516,a penguin sitting on a mouse,"penguin, mouse",False,Unusual arrangements,sitting,,"1919,1760" +516,517,a hippo sitting on a ballerina,"hippo, ballerina",False,Unusual arrangements,sitting,,"1967,1968" +517,518,a penguin using a pencil to write,"penguin, pencil",False,Unusual arrangements,using,,"1919,1774" +518,519,a kangaroo playing soccer,"kangaroo, soccer",False,Unusual arrangements,playing,,"1936,1964" +519,520,a remote control playing hockey,"remote control, hockey",False,Unusual arrangements,playing,,"1956,1969" +520,521,a kangaroo using a saw,"kangaroo, saw",False,Unusual arrangements,using,,"1936,1970" +521,522,a piano sitting on a bear,"piano, bear",False,Unusual arrangements,sitting,,"1971,1793" +522,523,a turtle blowing up a balloon,"turtle, balloon",False,Unusual arrangements,blowing up,,"1957,1766" +523,524,a knife playing the piano,"knife, piano",False,Unusual arrangements,playing,,"1738,1971" +524,525,a smartphone holding a wolf,"smartphone, wolf",False,Unusual arrangements,holding,,"1972,1926" +525,526,a squirrel using a telescope,"squirrel, telescope",False,Unusual arrangements,using,,"1932,1959" +526,527,a crocodile using a computer,"crocodile, computer",False,Unusual arrangements,using,,"1952,1973" +527,528,a flamingo playing baseball,"flamingo, baseball",False,Unusual arrangements,playing,,"1945,1974" +528,529,a wolf reading a book,"wolf, book",False,Unusual arrangements,reading,,"1926,1826" +529,530,a lion using a cucumber to write,"lion, cucumber",False,Unusual arrangements,using,,"1975,1976" +530,531,a rabbit jumping on a trampoline,"rabbit, trampoline",False,Unusual arrangements,jumping,,"1954,1977" +531,532,a scooter riding a tiger,"scooter, tiger",False,Unusual arrangements,riding,,"1978,1979" +532,533,a picture painting a penguin,"picture, penguin",False,Unusual arrangements,painting,,"1980,1919" +533,534,a piano playing a mouse,"piano, mouse",False,Unusual arrangements,playing,,"1971,1760" +534,535,a sandwich eating a raccoon,"sandwich, raccoon",False,Unusual arrangements,eating,,"1841,1928" +535,536,an ice cream eating a pillow,"ice cream, pillow",False,Unusual arrangements,eating,,"1734,1718" +536,537,a pencil using a sheep to draw,"pencil, sheep",False,Unusual arrangements,using,,"1774,1726" +537,538,a tomato playing tennis,"tomato, tennis",False,Unusual arrangements,playing,,"1981,1982" +538,539,a goblin brushing a dog,"goblin, dog",False,Unusual arrangements,brushing,,"1983,1748" +539,540,a chicken riding on a hamster,"chicken, hamster",False,Unusual arrangements,riding,,"1940,1984" +540,541,a horse riding on an astronaut,"horse, astronaut",False,Unusual arrangements,riding,,"1950,1985" +541,542,a pigeon stealing a monkey,"pigeon, monkey",False,Unusual arrangements,stealing,,"1935,1986" +542,543,a flamingo using a remote control,"flamingo, remote control",False,Unusual arrangements,using,,"1945,1956" +543,544,a pencil dancing on a rabbit,"pencil, rabbit",False,Unusual arrangements,dancing,,"1774,1954" +544,545,a pen eating a stapler,"bear, stapler",False,Unusual arrangements,eating,,"1793,1987" +545,546,a spray bottle throwing a rabbit,"spray bottle, rabbit",False,Unusual arrangements,throwing,,"1966,1954" +546,547,a burrito watching television,"burrito, television",False,Unusual arrangements,watching,,"1988,1989" +547,548,a fish riding a seagull,"fish, seagull",False,Unusual arrangements,riding,,"1723,1907" +548,549,a fly eating a frog,"fly, frog",False,Unusual arrangements,eating,,"1990,1991" +549,550,a boy hiding on a panda,"boy, panda",False,Unusual arrangements,hiding,,"1992,1960" +550,551,a soccer ball jumping on a horse,"soccer ball, horse",False,Unusual arrangements,jumping,,"1993,1950" +551,552,a man standing on a dog,"man, dog",False,Unusual arrangements,standing,,"1994,1748" +552,553,a chicken hunting a fox,"chicken, fox",False,Unusual arrangements,hunting,,"1940,1939" +553,554,a banana eating a monkey,"banana, monkey",False,Unusual arrangements,eating,,"1765,1986" +554,555,a remote control catching a fly,"remote control, fly",False,Unusual arrangements,catching,,"1956,1990" +555,556,a cup catching an elephant,"cup, elephant",False,Unusual arrangements,catching,,"1787,1740" +556,557,a lion taming a mouse,"lion, mouse",False,Unusual arrangements,taming,,"1975,1760" +557,558,a chicken holding an orchestra,"chicken, orchestra",False,Unusual arrangements,holding,,"1940,1995" +558,559,a bottle laying on a fox,"bottle, fox",False,Unusual arrangements,laying,,"1836,1939" +559,560,a unicycle riding a cow,"unicycle , cow",False,Unusual arrangements,riding,,"1996,1791" +560,561,a horse riding a tractor,"horse, tractor",False,Unusual arrangements,riding,,"1950,1997" +561,562,a chicken using a saw,"chicken, saw",False,Unusual arrangements,using,,"1940,1970" +562,563,a kite flying a bear,"kite, bear",False,Unusual arrangements,flying,,"1798,1793" +563,564,a table sitting on a cow,"table, cow",False,Unusual arrangements,sitting,,"1854,1791" +564,565,a squirrel hiding in a bottle,"squirrel, bottle",False,Unusual arrangements,hiding,,"1932,1836" +565,566,an elephant sleeping in a spoon,"elephant, spoon",False,Unusual arrangements,sleeping,,"1740,1763" +566,567,a raccoon hunting a princess,"raccoon, princess",False,Unusual arrangements,hunting,,"1928,1998" +567,568,a table standing on a giraffe,"table, giraffe",False,Unusual arrangements,standing,,"1854,1767" +568,569,a crown wearing a snake,"crown, snake",False,Unusual arrangements,wearing,,"1780,1741" +569,570,a teapot holding a kangaroo,"teapot, kangaroo",False,Unusual arrangements,holding,,"1999,1936" +570,571,a zebra riding a horse,"zebra, horse",False,Unusual arrangements,riding,,"1806,1950" +571,572,a screwdriver fixing a penguin,"screwdriver, penguin",False,Unusual arrangements,fixing,,"1773,1919" +572,573,a calculator showing a sheep,"calculator, sheep",False,Unusual arrangements,showing,,"2000,1726" +573,574,a smartphone showing a stone,"smartphone, stone",False,Unusual arrangements,showing,,"1972,1754" +574,575,a hammer throwing a penguin,"hammer, penguin",False,Unusual arrangements,throwing,,"2001,1919" +575,576,a flamingo using a brush to paint,"flamingo, brush",False,Unusual arrangements,using,,"1945,2002" +576,577,a hat wearing an elephant,"hat, elephant",False,Unusual arrangements,wearing,,"1905,1740" +577,578,a disco ball dancing on a flamingo,"disco ball, flamingo",False,Unusual arrangements,dancing,,"2003,1945" +578,579,a skateboard riding a fox,"skateboard, fox",False,Unusual arrangements,riding,,"1801,1939" +579,580,a hot dog sitting on a dachshund,"hot dog, dachshund",False,Unusual arrangements,sitting,,"1818,2004" +580,581,a plane jumping on a squirrel,"plane, squirrel",False,Unusual arrangements,jumping,,"2005,1932" +581,582,a microscope hitting a nail,"microscope, nail",False,Unusual arrangements,hitting,,"2006,2007" +582,583,a turtle jumping over a fox,"turtle, fox",False,Unusual arrangements,jumping,,"1957,1939" +583,584,a snake running from a mouse,"snake, mouse",False,Unusual arrangements,running,,"1741,1760" +584,585,a bowl of ice cream hunting a bear,"bowl of ice cream, bear",False,Unusual arrangements,hunting,,"2008,1793" +585,586,a ketchup bottle riding a gorilla,"ketchup bottle, gorilla",False,Unusual arrangements,riding,,"2009,1758" +586,587,an umbrella holding a squirrel,"umbrella, squirrel",False,Unusual arrangements,holding,,"1809,1932" +587,588,a diploma receiving a student,"diploma, student",False,Unusual arrangements,receiving,,"2010,2011" +588,589,a bike riding an eagle,"bike, eagle",False,Unusual arrangements,riding,,"2012,1930" +589,590,a skateboard riding a monkey,"skateboard, monkey",False,Unusual arrangements,riding,,"1801,1986" +590,591,a hat wearing a dog,"hat, dog",False,Unusual arrangements,wearing,,"1905,1748" +591,592,a car driving a cat,"car, cat",False,Unusual arrangements,driving,,"1728,1749" +592,593,a ship jumping on a parrot,"ship, parrot",False,Unusual arrangements,jumping,,"2013,1914" +593,594,a bicycle riding a bird,"bicycle, bird",False,Unusual arrangements,riding,,"1782,1739" +594,595,a dollar bill holding a penguin,"dollar bill, penguin",False,Unusual arrangements,holding,,"2014,1919" +595,596,a whisk using a monkey to cook,"whisk, monkey",False,Unusual arrangements,using,,"2015,1986" +596,597,a pizza chasing a trash can,"pizza, trash can",False,Unusual arrangements,chasing,,"1832,2016" +597,598,a flashlight drinking a beer,"flashlight, beer",False,Unusual arrangements,drinking,,"1714,2017" +598,599,a donut holding a frog,"donut, frog",False,Unusual arrangements,holding,,"1829,1991" +599,600,a chicken dancing on a lion,"chicken, lion",False,Unusual arrangements,dancing,,"1940,1975" +600,601,a sheep stealing a cake,"sheep, cake",False,Unusual arrangements,stealing,,"1726,1794" +601,602,A horse with a yellow saddle,horse,False,Compositional characteristics,yellow saddle,,1950 +602,603,A spider with white legs,spider,False,Compositional characteristics,white legs,,1745 +603,604,A clock with golden hands,clock,False,Compositional characteristics,golden hands,,1777 +604,605,A chair with a wooden seat,chair,False,Compositional characteristics,wooden seat,,1796 +605,606,A cup with a blue design,cup,False,Compositional characteristics,blue design,,1787 +606,607,A car with a black spoiler,car,False,Compositional characteristics,black spoiler,,1728 +607,608,A car with golden wheels,car,False,Compositional characteristics,golden wheels,,1728 +608,609,A butterfly with red wings,butterfly,False,Compositional characteristics,red wings,,1761 +609,610,A dragon with yellow tail,dragon,False,Compositional characteristics,yellow tail,,1764 +610,611,A cat with yellow eyes,cat,False,Compositional characteristics,yellow eyes,,1749 +611,612,A bird with a blue tail,bird,False,Compositional characteristics,blue tail,,1739 +612,613,A flower with a green petals,flower,False,Compositional characteristics,green petals,,1888 +613,614,A fish with black fins,fish,False,Compositional characteristics,black fins,,1723 +614,615,A table with a metal legs,table,False,Compositional characteristics,metal legs,,1854 +615,616,A puppy with white paws,puppy,False,Compositional characteristics,white paws,,2018 +616,617,A tree with red fruit,tree,False,Compositional characteristics,red fruit,,1737 +617,618,A bear with a white belly,bear,False,Compositional characteristics,white belly,,1793 +618,619,A fox with white fur,fox,False,Compositional characteristics,white fur,,1939 +619,620,A pen with transparent barrel,pen,False,Compositional characteristics,transparent barrel,,1902 +620,621,A lizard with blue scales,lizard,False,Compositional characteristics,blue scales,,2019 +621,622,A candle with a pink flame,candle,False,Compositional characteristics,pink flame,,1779 +622,623,A tree with blue leaves,tree,False,Compositional characteristics,blue leaves,,1737 +623,624,A book with a newspaper cover,book,False,Compositional characteristics,newspaper cover,,1826 +624,625,A cow with a yellow spotted coat,cow,False,Compositional characteristics,yellow spotted coat,,1791 +625,626,A bird with a curved beak,bird,False,Compositional characteristics,curved beak,,1739 +626,627,A dragon with shiny claws,dragon,False,Compositional characteristics,shiny claws,,1764 +627,628,A goat with dirty fur,goat,False,Compositional characteristics,dirty fur,,1897 +628,629,A cup with a green handle,cup,False,Compositional characteristics,green handle,,1787 +629,630,A bird with a bue head,bird,False,Compositional characteristics,blue head,,1739 +630,631,A cat with blue eyes,cat,False,Compositional characteristics,blue eyes,,1749 +631,632,A dragon with a black tail,dragon,False,Compositional characteristics,black tail,,1764 +632,633,A clock with a wooden frame,clock,False,Compositional characteristics,wooden frame,,1777 +633,634,A chair with a velvet seat,chair,False,Compositional characteristics,velvet seat,,1796 +634,635,A beaver with white fur,beaver,False,Compositional characteristics,white fur,,1901 +635,636,A horse with a pink mane,horse,False,Compositional characteristics,pink mane,,1950 +636,637,A mountain with a snowy peak,mountain,False,Compositional characteristics,snowy peak,,1770 +637,638,A rabbit with long ears,rabbit,False,Compositional characteristics,long ears,,1954 +638,639,A cow with short legs,cow,False,Compositional characteristics,short legs,,1791 +639,640,A car with a shiny finish,car,False,Compositional characteristics,shiny finish,,1728 +640,641,A street of food shops,street,False,Compositional characteristics,food shops,,1853 +641,642,A table with a polished surface,table,False,Compositional characteristics,polished surface,,1854 +642,643,A mouse with a red ear,mouse,False,Compositional characteristics,red ear,,1760 +643,644,A sofa with white cushions,sofa,False,Compositional characteristics,white cushions,,2020 +644,645,A horse with short legs,horse,False,Compositional characteristics,short legs,,1950 +645,646,A butterfly with an orange body,butterfly,False,Compositional characteristics,orange body,,1761 +646,647,A mountain with a pine forest,mountain,False,Compositional characteristics,pine forest,,1770 +647,648,A tree with white branches,tree,False,Compositional characteristics,white branches,,1737 +648,649,A squirrel with a pink tail,squirrel,False,Compositional characteristics,pink tail,,1932 +649,650,A bear with a spotted fur,bear,False,Compositional characteristics,spotted fur,,1793 +650,651,A fish with small spots,fish,False,Compositional characteristics,small spots,,1723 +651,652,A squirrel with a bushy tail,squirrel,False,Compositional characteristics,bushy tail,,1932 +652,653,A rabbit with a black spot,rabbit,False,Compositional characteristics,black spot,,1954 +653,654,A bird with a grey tail,bird,False,Compositional characteristics,grey tail,,1739 +654,655,A shoe with a purple sole,shoe,False,Compositional characteristics,purple sole,,1893 +655,656,A goat with a blue eyes,goat,False,Compositional characteristics,blue eyes,,1897 +656,657,A flower with an orange stigma,flower,False,Compositional characteristics,orange stigma,,1888 +657,658,A fish with shiny scales,fish,False,Compositional characteristics,shiny scales,,1723 +658,659,A moose with small antlers,moose,False,Compositional characteristics,small antlers,,1921 +659,660,A book with a worn cover,book,False,Compositional characteristics,worn cover,,1826 +660,661,A room with a large window,room,False,Compositional characteristics,large window,,1850 +661,662,A laptop with a green cover,laptop,False,Compositional characteristics,green cover,,1837 +662,663,A lizard with blue scales,lizard,False,Compositional characteristics,blue scales,,2019 +663,664,A dragon with green flames,dragon,False,Compositional characteristics,green flames,,1764 +664,665,A bird with white wings,bird,False,Compositional characteristics,white wings,,1739 +665,666,A pencil with a bright orange lead,pencil,False,Compositional characteristics,bright orange lead,,1774 +666,667,A cat with an orange collar,cat,False,Compositional characteristics,orange collar,,1749 +667,668,A tree with a dense canopy,tree,False,Compositional characteristics,dense canopy,,1737 +668,669,A bird with long talons,bird,False,Compositional characteristics,long talons,,1739 +669,670,A ferret with a white face,ferret,False,Compositional characteristics,white face,,1913 +670,671,A bush with orange fruit,bush,False,Compositional characteristics,orange fruit,,2021 +671,672,A plate with a golden rim,plate,False,Compositional characteristics,golden rim,,1878 +672,673,A dragon with an orange face,dragon,False,Compositional characteristics,orange face,,1764 +673,674,A bird with a pink beak,bird,False,Compositional characteristics,pink beak,,1739 +674,675,A snake with white scales,snake,False,Compositional characteristics,white scales,,1741 +675,676,A motorcycle with a blue seat,motorcycle,False,Compositional characteristics,blue seat,,1813 +676,677,A lizard with black legs,lizard,False,Compositional characteristics,black legs,,2019 +677,678,A butterfly with pink wings,butterfly,False,Compositional characteristics,pink wings,,1761 +678,679,A rabbit with a hairless tail,rabbit,False,Compositional characteristics,hairless tail,,1954 +679,680,A door with a metal knocker,door,False,Compositional characteristics,metal knocker,,1865 +680,681,A goat with brown horns,goat,False,Compositional characteristics,brown horns,,1897 +681,682,A squirrel with green fur,squirrel,False,Compositional characteristics,green fur,,1932 +682,683,A plant with orange flowers,plant,False,Compositional characteristics,orange flowers,,2022 +683,684,A crocodile with an open mouth,crocodile,False,Compositional characteristics,open mouth,,1952 +684,685,A bed with golden headboard,bed,False,Compositional characteristics,golden headboard,,1840 +685,686,A bicycle with glittering handlebars,bicycle,False,Compositional characteristics,glittering handlebars,,1782 +686,687,A dog with a curled tail,dog,False,Compositional characteristics,curled tail,,1748 +687,688,A pillow with a leather cover,pillow,False,Compositional characteristics,leather cover,,1718 +688,689,A lamp with a glass shade,lamp,False,Compositional characteristics,glass shade,,1713 +689,690,A pirate with a metal claw,pirate,False,Compositional characteristics,metal claw,,2023 +690,691,A cage with thin bars,cage,False,Compositional characteristics,thin bars,,2024 +691,692,A girl with purple eyes,girl,False,Compositional characteristics,purple eyes,,2025 +692,693,A blanket with a damask pattern,blanket,False,Compositional characteristics,damask pattern,,1704 +693,694,A mountain with a jagged peak,mountain,False,Compositional characteristics,jagged peak,,1770 +694,695,A boy with long hair,boy,False,Compositional characteristics,long hair,,1992 +695,696,A man with a red nose,man,False,Compositional characteristics,red nose,,1994 +696,697,An officer in a blue uniform,officer,False,Compositional characteristics,blue uniform,,2026 +697,698,A wall with lettering graffiti,wall,False,Compositional characteristics,lettering graffiti,,2027 +698,699,A tree with twisted branches,tree,False,Compositional characteristics,twisted branches,,1737 +699,700,A cake with green icing,cake,False,Compositional characteristics,green icing,,1794 +700,701,A cookie with colourful chips,cookie,False,Compositional characteristics,colourful chips,,2028 +701,702,a rabbit with the antlers of a moose,"rabbit, moose",False,Chimeras,,,"1954,1921" +702,703,a horse with the tail of a lion,"horse, lion",False,Chimeras,,,"1950,1975" +703,704,a skunk with the wings of a dragon,"skunk, dragon",False,Chimeras,,,"1903,1764" +704,705,a wolf with the tusks of a walrus,wolf walrus,False,Chimeras,,,2029 +705,706,a coyote with the fur of a polar bear,"coyote, polar bear",False,Chimeras,,,"2030,2031" +706,707,a horse with the scales of a dragon,"horse, dragon",False,Chimeras,,,"1950,1764" +707,708,a deer with the wings of an eagle,"deer, eagle",False,Chimeras,,,"1915,1930" +708,709,a gorilla with the antlers of a deer,"gorilla, deer",False,Chimeras,,,"1758,1915" +709,710,a horse with the fur of a tiger,"horse, tiger",False,Chimeras,,,"1950,1979" +710,711,a raccoon with the wings of a falcon,"raccoon, falcon",False,Chimeras,,,"1928,1923" +711,712,a elephant with the wings of an eagle,"elephant, eagle",False,Chimeras,,,"1740,1930" +712,713,a skunk with the tail of a beaver,"skunk, beaver",False,Chimeras,,,"1903,1901" +713,714,a kangaroo with the horns of a ram ,"kangaroo, ram",False,Chimeras,,,"1936,2032" +714,715,a snake with the fur of a fox,"snake, fox",False,Chimeras,,,"1741,1939" +715,716,a bear with the tail of a squirrel,"bear, squirrel",False,Chimeras,,,"1793,1932" +716,717,a kangaroo with the wings of a falcon,"kangaroo, falcon",False,Chimeras,,,"1936,1923" +717,718,a moose with the antlers of a stag,"moose, bear, stag",False,Chimeras,,,"1921,1793,2033" +718,719,a coyote with the fur of a polar bear,"coyote, polar bear",False,Chimeras,,,"2030,2031" +719,720,a coyote with the tusks of a walrus,"coyote, walrus",False,Chimeras,,,"2030,2034" +720,721,an opossum with the antlers of a deer,"opossum, deer",False,Chimeras,,,"2035,1915" +721,722,a leopard with the wings of an eagle,"leopard, eagle",False,Chimeras,,,"2036,1930" +722,723,a hippopotamus with the wings of a hawk,"hippopotamus, hawk",False,Chimeras,,,"2037,1943" +723,724,a horse with the tail of a fish,"horse, fish",False,Chimeras,,,"1950,1723" +724,725,a beaver with the tail of a crocodile ,"beaver, crocodile",False,Chimeras,,,"1901,1952" +725,726,a moose with the tusks of a walrus,"moose, walrus",False,Chimeras,,,"1921,2034" +726,727,a coyote with the feathers of a falcon,"coyote, falcon",False,Chimeras,,,"2030,1923" +727,728,a raccoon with the fur of a lion,"raccoon, lion",False,Chimeras,,,"1928,1975" +728,729,a rabbit with the antlers of a moose,"rabbit, moose",False,Chimeras,,,"1954,1921" +729,730,a rhinoceros with the wings of a pegasus,"rhinoceros, pegasus",False,Chimeras,,,"2038,2039" +730,731,a rabbit with the fur of a tiger,"rabbit, tiger",False,Chimeras,,,"1954,1979" +731,732,a hyena with the head of a crocodile,"hyena, crocodile",False,Chimeras,,,"2040,1952" +732,733,a wolf with the fur of zebra,"wolf, zebra",False,Chimeras,,,"1926,1806" +733,734,a zebra with the mane of a lion,"zebra, lion",False,Chimeras,,,"1806,1975" +734,735,a chimpanzee with the mane of a lion,"chimpanzee, lion",False,Chimeras,,,"2041,1975" +735,736,a dolphin with the fur of a polar bear,"dolphin, polar bear",False,Chimeras,,,"1955,2031" +736,737,an opossum with the tail of a fox,"opossum, fox",False,Chimeras,,,"2035,1939" +737,738,a snake with the wings of a bat,"snake, bat",False,Chimeras,,,"1741,2042" +738,739,a zebra with the wings of a hawk,"zebra, hawk",False,Chimeras,,,"1806,1943" +739,740,a fox with the tail of a peacock,"fox, peacock",False,Chimeras,,,"1939,1937" +740,741,a peacock the antlers of a moose,"peacock, moose",False,Chimeras,,,"1937,1921" +741,742,a fox with the fur of a giraffe,"fox, giraffe",False,Chimeras,,,"1939,1767" +742,743,a cat with the antlers of a deer,"cat, deer",False,Chimeras,,,"1749,1915" +743,744,a kangaroo with the wings of a hawk,"kangaroo, hawk",False,Chimeras,,,"1936,1943" +744,745,a moose with the fur of a leopard,"moose, leopard",False,Chimeras,,,"1921,2036" +745,746,a monkey with the tail of a scorpion,"monkey, scorpion",False,Chimeras,,,"1986,2043" +746,747,a skunk with the horns of a ram,"skunk, ram",False,Chimeras,,,"1903,2032" +747,748,a wolf with the tail of a fox,"wolf, fox",False,Chimeras,,,"1926,1939" +748,749,a bear with the wings of an eagle,"bear, eagle",False,Chimeras,,,"1793,1930" +749,750,a fox with the wings of a bat,"fox, bat",False,Chimeras,,,"1939,2042" +750,751,a chimpanzee with the horns of a goat,"chimpanzee, goat",False,Chimeras,,,"2041,1897" +751,752,a wolf with the mane of a lion and the tail of a fox,"wolf, lion, fox",False,Chimeras,,,"1926,1975,1939" +752,753,an elephant with the horns of a rhinoceros and the tail of a peacock,"elephant, rhinoceros, peacock",False,Chimeras,,,"1740,2038,1937" +753,754,a bear with the wings of an eagle and the fur of a tiger,"bear, eagle, tiger",False,Chimeras,,,"1793,1930,1979" +754,755,a deer with the horns of a ram and the claws of a bird of prey,"deer, ram, bird of prey",False,Chimeras,,,"1915,2032,2044" +755,756,a rabbit with the antlers of a moose and the fur of a giraffe,"rabbit, moose, giraffe",False,Chimeras,,,"1954,1921,1767" +756,757,a raccoon with the wings of a falcon and the tail of a lion,"raccoon, falcon, lion",False,Chimeras,,,"1928,1923,1975" +757,758,a tiger with the fur of a bear and the tusks of a walrus,"tiger, bear, walrus",False,Chimeras,,,"1979,1793,2034" +758,759,a squirrel with the scales of a fish and the tail of a monkey,"squirrel, fish, monkey",False,Chimeras,,,"1932,1723,1986" +759,760,a fox with the horns of a deer and the wings of a hawk,"fox, deer, hawk",False,Chimeras,,,"1939,1915,1943" +760,761,a giraffe with the head of a tiger and the claws of a bear,"giraffe, tiger, bear",False,Chimeras,,,"1767,1979,1793" +761,762,a horse with the scales of a fish and the wings of a dragon,"horse, fish, dragon",False,Chimeras,,,"1950,1723,1764" +762,763,a skunk with the wings of a dragon and the fur of a bear,"skunk, dragon, bear",False,Chimeras,,,"1903,1764,1793" +763,764,a beaver with the tail of a crocodile and the head of a bird of prey,"beaver, crocodile, bird of prey",False,Chimeras,,,"1901,1952,2044" +764,765,a monkey with the tail of a scorpion and the fur of a fox,"monkey, scorpion, fox",False,Chimeras,,,"1986,2043,1939" +765,766,a rhinoceros with the fur of a lion and the antlers of a deer,"rhinoceros, lion, deer",False,Chimeras,,,"2038,1975,1915" +766,767,a dolphin with the fur of a polar bear and the tail of a fish,"dolphin, polar bear, fish",False,Chimeras,,,"1955,2031,1723" +767,768,a squirrel with the scales of a fish and the wings of a bat,"squirrel, fish, bat",False,Chimeras,,,"1932,1723,2042" +768,769,an opossum with the antlers of a deer and the fur of a leopard,"opossum, deer, leopard",False,Chimeras,,,"2035,1915,2036" +769,770,a kangaroo with the horns of a ram and the wings of a falcon,"kangaroo, ram, falcon",False,Chimeras,,,"1936,2032,1923" +770,771,a deer with the horns of a ram and the tail of a lion,"deer, ram, lion",False,Chimeras,,,"1915,2032,1975" +771,772,a snake with the wings of a bat and the fur of a lion,"snake, bat, lion",False,Chimeras,,,"1741,2042,1975" +772,773,a wolf with the horns of a deer and the wings of a bat,"wolf, deer, bat",False,Chimeras,,,"1926,1915,2042" +773,774,a hamster with the fur of a lion and the claws of a bird of prey,"hamster, lion, bird of prey",False,Chimeras,,,"1984,1975,2044" +774,775,a squirrel with the scales of a fish and the horns of a goat,"squirrel, fish, goat",False,Chimeras,,,"1932,1723,1897" +775,776,a deer with the horns of a ram and the fur of a lion,"deer, ram, lion",False,Chimeras,,,"1915,2032,1975" +776,777,a bear with the body of a snake and the head of a crocodile,"bear, snake, crocodile",False,Chimeras,,,"1793,1741,1952" +777,778,a bear with the wings of an eagle and the tail of a dragon,"bear, eagle, dragon",False,Chimeras,,,"1793,1930,1764" +778,779,a hamster with the fur of a lion and the wings of a bat,"hamster, lion, bat",False,Chimeras,,,"1984,1975,2042" +779,780,a cow with the wings of a bird and the tail of a scorpion,"cow, bird, scorpion",False,Chimeras,,,"1791,1739,2043" +780,781,a dolphin with the fur of a bear and the wings of a seagull,"dolphin, bear, seagull",False,Chimeras,,,"1955,1793,1907" +781,782,a dolphin with the legs of a deer and the wings of a seagull,"dolphin, deer, seagull",False,Chimeras,,,"1955,1915,1907" +782,783,a squirrel with the scales of a fish and the wings of a dragon,"squirrel, fish, dragon",False,Chimeras,,,"1932,1723,1764" +783,784,a wolf with the fur of a polar bear and the wings of a seagull,"wolf, polar bear, seagull",False,Chimeras,,,"1926,2031,1907" +784,785,a koala with the fur of a sheep and the tail of a beaver,"koala, sheep, beaver",False,Chimeras,,,"2045,1726,1901" +785,786,a monkey with the tail of a scorpion and the wings of a bat,"monkey, scorpion, bat",False,Chimeras,,,"1986,2043,2042" +786,787,a polar bear with the horns of a ram and the fins of a shark,"polar bear, ram, shark",False,Chimeras,,,"2031,2032,2046" +787,788,a hamster with the fur of a tiger and the tail of a fox,"hamster, tiger, fox",False,Chimeras,,,"1984,1979,1939" +788,789,a beaver with the tail of a crocodile and the fur of a polar bear,"beaver, crocodile, polar bear",False,Chimeras,,,"1901,1952,2031" +789,790,a fox with the wings of a bat and the tail of a lion,"fox, bat, lion",False,Chimeras,,,"1939,2042,1975" +790,791,a fox with the wings of a bat and the horns of a ram,"fox, bat, ram",False,Chimeras,,,"1939,2042,2032" +791,792,a zebra with the mane of a lion and the wings of a bat,"zebra, lion, bat",False,Chimeras,,,"1806,1975,2042" +792,793,a snake with the wings of a bat and the head of a crocodile,"snake, bat, crocodile",False,Chimeras,,,"1741,2042,1952" +793,794,a squirrel with the scales of a fish and the fur of a polar bear,"squirrel, fish, polar bear",False,Chimeras,,,"1932,1723,2031" +794,795,a monkey with the tail of a scorpion and the horns of a ram,"monkey, scorpion, ram",False,Chimeras,,,"1986,2043,2032" +795,796,a hippopotamus with the fur of a lion and the tusks of a boar,"hippopotamus, lion, boar",False,Chimeras,,,"2037,1975,2047" +796,797,a kangaroo with the horns of a ram and the fur of polar bear,"kangaroo, ram, polar bear",False,Chimeras,,,"1936,2032,2031" +797,798,a zebra with the mane of a lion and the tail of a horse,"zebra, lion, horse",False,Chimeras,,,"1806,1975,1950" +798,799,a tiger with the antlers of a deer and the claws of a bird of prey,"tiger, deer, bird of prey",False,Chimeras,,,"1979,1915,2044" +799,800,a raccoon with the wings of a bat and the claws of a bird of prey,"raccoon, bat, bird of prey",False,Chimeras,,,"1928,2042,2044" +800,801,a moose with the fur of a bear and the wings of a bat,"moose, bear, bat",False,Chimeras,,,"1921,1793,2042" +801,802,a bear with the wings of an eagle and the fur of a zebra,"bear, eagle, zebra",False,Chimeras,,,"1793,1930,1806" +802,803,two chairs,chair,True,Counting,2,,1796 +803,804,two boats,boat,True,Counting,2,,1716 +804,805,two cars,car,True,Counting,2,,1728 +805,806,two busses,bus,True,Counting,2,,1785 +806,807,two vases,vase,True,Counting,2,,1845 +807,808,two hats,hat,True,Counting,2,,1905 +808,809,two beds,bed,True,Counting,2,,1840 +809,810,two cats,cat,True,Counting,2,,1749 +810,811,two knives,knife,True,Counting,2,,1738 +811,812,three bottles,bottle,True,Counting,3,,1836 +812,813,three bicycles,bicycle,True,Counting,3,,1782 +813,814,three snowboards,snowboard,True,Counting,3,,1817 +814,815,three remotes,remote,True,Counting,3,,1816 +815,816,three tvs,tv,True,Counting,3,,1949 +816,817,three carrots,carrot,True,Counting,3,,1808 +817,818,three spoons,spoon,True,Counting,3,,1763 +818,819,three trains,train,True,Counting,3,,1814 +819,820,three pizzas,pizza,True,Counting,3,,1832 +820,821,four ovens,oven,True,Counting,4,,2048 +821,822,four bananas,banana,True,Counting,4,,1765 +822,823,four giraffes,giraffe,True,Counting,4,,1767 +823,824,four windows,window,True,Counting,4,,1881 +824,825,four bears,bear,True,Counting,4,,1793 +825,826,four doors,door,True,Counting,4,,1865 +826,827,four sinks,sink,True,Counting,4,,1807 +827,828,four remotes,remote,True,Counting,4,,1816 +828,829,four potted plants,potted plant,True,Counting,4,,1833 +829,830,five couches,couch,True,Counting,5,,1815 +830,831,five frisbees,frisbee,True,Counting,5,,1828 +831,832,five zebras,zebra,True,Counting,5,,1806 +832,833,five kites,kite,True,Counting,5,,1798 +833,834,five fire hydrants,fire hydrant,True,Counting,5,,1825 +834,835,five pizzas,pizza,True,Counting,5,,1832 +835,836,five desks,desk,True,Counting,5,,1757 +836,837,five sinks,sink,True,Counting,5,,1807 +837,838,five microwaves,microwave,True,Counting,5,,1812 +838,839,six cell phones,cell phone,True,Counting,6,,1800 +839,840,six ties,tie,True,Counting,6,,1835 +840,841,six doors,door,True,Counting,6,,1865 +841,842,six vases,vase,True,Counting,6,,1845 +842,843,six benches,bench,True,Counting,6,,1795 +843,844,six chairs,chair,True,Counting,6,,1796 +844,845,six forks,fork,True,Counting,6,,1771 +845,846,six frisbees,frisbee,True,Counting,6,,1828 +846,847,six stop signs,stop sign,True,Counting,6,,1810 +847,848,seven bananas,banana,True,Counting,7,,1765 +848,849,seven potted plants,potted plant,True,Counting,7,,1833 +849,850,seven sports balls,sports ball,True,Counting,7,,1824 +850,851,seven forks,fork,True,Counting,7,,1771 +851,852,seven trucks,truck,True,Counting,7,,1820 +852,853,seven bowls,bowl,True,Counting,7,,1805 +853,854,seven chairs,chair,True,Counting,7,,1796 +854,855,seven airplanes,airplane,True,Counting,7,,1799 +855,856,seven bottles,bottle,True,Counting,7,,1836 +856,857,eight cups,cup,True,Counting,8,,1787 +857,858,eight elephants,elephant,True,Counting,8,,1740 +858,859,eight people,person,True,Counting,8,,1948 +859,860,eight baseball bats,baseball bat,True,Counting,8,,1951 +860,861,eight cakes,cake,True,Counting,8,,1794 +861,862,eight fire hydrants,fire hydrant,True,Counting,8,,1825 +862,863,eight cell phones,cell phone,True,Counting,8,,1800 +863,864,eight ovens,oven,True,Counting,8,,2048 +864,865,eight spoons,spoon,True,Counting,8,,1763 +865,866,nine elephants,elephant,True,Counting,9,,1740 +866,867,nine laptops,laptop,True,Counting,9,,1837 +867,868,nine umbrellas,umbrella,True,Counting,9,,1809 +868,869,nine busses,bus,True,Counting,9,,1785 +869,870,nine keyboards,keyboard,True,Counting,9,,1797 +870,871,nine desks,desk,True,Counting,9,,1757 +871,872,nine cats,cat,True,Counting,9,,1749 +872,873,nine oranges,orange,True,Counting,9,,1947 +873,874,nine bears,bear,True,Counting,9,,1793 +874,875,ten mice,mouse,True,Counting,10,,1760 +875,876,ten ties,tie,True,Counting,10,,1835 +876,877,ten remotes,remote,True,Counting,10,,1816 +877,878,ten donuts,donut,True,Counting,10,,1829 +878,879,ten hair driers,hair drier,True,Counting,10,,1792 +879,880,ten knives,knife,True,Counting,10,,1738 +880,881,ten apples,apple,True,Counting,10,,1727 +881,882,ten stop signs,stop sign,True,Counting,10,,1810 +882,883,ten trains,train,True,Counting,10,,1814 +883,884,eleven baseball bats,baseball bat,True,Counting,11,,1951 +884,885,eleven chairs,chair,True,Counting,11,,1796 +885,886,eleven books,book,True,Counting,11,,1826 +886,887,eleven cell phones,cell phone,True,Counting,11,,1800 +887,888,eleven hot dogs,hot dog,True,Counting,11,,1818 +888,889,eleven bananas,banana,True,Counting,11,,1765 +889,890,eleven shoes,shoe,True,Counting,11,,1893 +890,891,eleven spoons,spoon,True,Counting,11,,1763 +891,892,eleven carrots,carrot,True,Counting,11,,1808 +892,893,twelve busses,bus,True,Counting,12,,1785 +893,894,twelve toothbrushes,toothbrush,True,Counting,12,,1715 +894,895,twelve bananas,banana,True,Counting,12,,1765 +895,896,twelve sheep,sheep,True,Counting,12,,1726 +896,897,twelve microwaves,microwave,True,Counting,12,,1812 +897,898,twelve chairs,chair,True,Counting,12,,1796 +898,899,twelve skateboards,skateboard,True,Counting,12,,1801 +899,900,twelve wine glasses,wine glass,True,Counting,12,,1834 +900,901,twelve birds,bird,True,Counting,12,,1739 +901,902,two books,book,True,Counting,2,,1826 +902,903,"A billboard advertising ""Explore the Great Barrier Reef""",billboard,False,Text rendering,Explore the Great Barrier Reef,,2049 +903,904,"A menu at a restaurant that has the dish ""Beef Wellington"" listed",menu,False,Text rendering,Beef Wellington,,2050 +904,905,"A newspaper with the headline ""First woman elected President"" written on it",newspaper,False,Text rendering,First woman elected President,,2051 +905,906,"A map with the legend ""North, South, East, West"" written on it",map,False,Text rendering,"North, South, East, West",,2052 +906,907,"A menu at a restaurant that has the dish ""Sushi"" listed",menu,False,Text rendering,Sushi,,2050 +907,908,"A train with the destination ""Grand Central Station"" written on the front",train,False,Text rendering,Grand Central Station,,1814 +908,909,"A book with the title ""Moby-Dick"" written on the cover",book,False,Text rendering,Moby-Dick,,1826 +909,910,"A menu at a restaurant that has the dish ""Spaghetti Carbonara"" listed",menu,False,Text rendering,Spaghetti Carbonara,,2050 +910,911,"A laptop with a sticker that says ""Microsoft Windows 10""",laptop,False,Text rendering,Microsoft Windows 10,,1837 +911,912,"A plane with the destination ""London Heathrow Airport"" written on the front",plane,False,Text rendering,London Heathrow Airport,,2005 +912,913,"A store window with the words ""Sale - 50% off"" written on it",store window,False,Text rendering,Sale - 50% off,,2053 +913,914,"A billboard advertising ""Visit the Grand Canyon""",billboard,False,Text rendering,Visit the Grand Canyon,,2049 +914,915,"A poster with the slogan ""Recycle Now"" written on it",poster,False,Text rendering,Recycle Now,,2054 +915,916,"A label on a jar of honey that says ""Wildflower Honey"" written on it",jar,False,Text rendering,Wildflower Honey,,1712 +916,917,"A billboard advertising ""Visit the Taj Mahal""",billboard,False,Text rendering,Visit the Taj Mahal,,2049 +917,918,"A receipt from a gas station that says ""Shell"" written on it",receipt,False,Text rendering,Shell,,2055 +918,919,"A map with the legend ""Mountains, Rivers, Cities"" written on it",map,False,Text rendering,"Mountains, Rivers, Cities",,2052 +919,920,"A business card with the name ""Jane Smith"" and the title ""Marketing Manager"" written on it",business card,False,Text rendering,"Jane Smith, Marketing Manager",,2056 +920,921,"A book with the title ""One Hundred Years of Solitude"" written on the cover",book,False,Text rendering,One Hundred Years of Solitude,,1826 +921,922,"A store window with the words ""Winter Clearance"" written on it",store window,False,Text rendering,Winter Clearance,,2053 +922,923,"A t-shirt with the band name ""Grateful Dead"" written on it",t-shirt,False,Text rendering,Grateful Dead,,1756 +923,924,"A notebook with the words ""Memories"" written on the front cover",notebook,False,Text rendering,Memories,,2057 +924,925,"A book with the title ""The Lord of the Rings"" written on the cover",book,False,Text rendering,The Lord of the Rings,,1826 +925,926,"A poster with the slogan ""Stop Global Warming"" written on it",poster,False,Text rendering,Stop Global Warming,,2054 +926,927,"A laptop with a sticker that says ""Dell"" written on it",laptop,False,Text rendering,Dell,,1837 +927,928,"A notebook with the words ""To-do List"" written on the front cover",notebook,False,Text rendering,To-do List,,2057 +928,929,"A notebook with the words ""Notes"" written on the front cover",notebook,False,Text rendering,Notes,,2057 +929,930,"A notebook with the words ""Travel Journal"" written on the front cover",notebook,False,Text rendering,Travel Journal,,2057 +930,931,"A menu at a restaurant that has the dish ""Chateaubriand"" listed",restaurant menu,False,Text rendering,Chateaubriand,,2058 +931,932,"A contract with the words ""Lease Agreement"" written on it",contract,False,Text rendering,Lease Agreement,,2059 +932,933,"A poster with the slogan ""Save the Whales""",poster,False,Text rendering,Save the Whales,,2054 +933,934,"A book with the title ""War and Peace"" written on the cover",book,False,Text rendering,War and Peace,,1826 +934,935,"A bottle of champagne with the label ""Moet & Chandon"" written on it",champagne bottle,False,Text rendering,Moet & Chandon,,2060 +935,936,"A receipt from a clothing store that says ""Nike"" written on it",receipt,False,Text rendering,Nike,,2055 +936,937,"A bottle of perfume with the label ""Dior J'adore"" written on it",perfume bottle,False,Text rendering,Dior J'adore,,2061 +937,938,"A ticket stub from a movie that says ""Avengers: Endgame"" written on it",ticket,False,Text rendering,Avengers: Endgame,,2062 +938,939,"A boat with the destination ""The Caribbean"" written on the front",boat,False,Text rendering,The Caribbean,,1716 +939,940,"A store window with the words ""Back to School"" written on it",store,False,Text rendering,Back to School,,1887 +940,941,"A receipt from a pharmacy that says ""CVS"" written on it",receipt,False,Text rendering,CVS,,2055 +941,942,"A contract with the words ""Non-disclosure Agreement"" written on it",contract,False,Text rendering,Non-disclosure Agreement,,2059 +942,943,"A book with the title ""The Great Gatsby"" written on the cover",book,False,Text rendering,The Great Gatsby,,1826 +943,944,"A newspaper with the headline ""US wins World Cup"" written on it",newspaper,False,Text rendering,US wins World Cup,,2051 +944,945,"A license plate that says ""Illinois - The Prairie State""",license plate,False,Text rendering,Illinois - The Prairie State,,2063 +945,946,"A contract with the words ""Partnership Agreement"" written on it",contract,False,Text rendering,Partnership Agreement,,2059 +946,947,"A label on a jar of peanut butter that says ""Smooth"" written on it",jar,False,Text rendering,Smooth,,1712 +947,948,"A book with the title ""The Grapes of Wrath"" written on the cover",book,False,Text rendering,The Grapes of Wrath,,1826 +948,949,"A poster with the slogan ""Save the Rainforests"" written on it",poster,False,Text rendering,Save the Rainforests,,2054 +949,950,"A laptop with a sticker that says ""Asus"" written on it",laptop,False,Text rendering,Asus,,1837 +950,951,"A notebook with the words ""Ideas"" written on the front cover",notebook,False,Text rendering,Ideas,,2057 +951,952,"A postcard with the message ""Aloha from Maui"" written on it",postcard,False,Text rendering,Aloha from Maui,,2064 +952,953,"A ticket stub from a theme park that says ""Six Flags"" written on it",ticket stub,False,Text rendering,Six Flags,,2065 +953,954,"A ticket stub from a museum that says ""The Louvre"" written on it",ticket stub,False,Text rendering,The Louvre,,2065 +954,955,"A billboard advertising ""See the Eiffel Tower in Paris""",billboard,False,Text rendering,See the Eiffel Tower in Paris,,2049 +955,956,"A store window with the words ""Fall Collection"" written on it",store,False,Text rendering,Fall Collection,,1887 +956,957,"A business card with the name ""John Doe"" and the title ""CEO"" written on it",business card,False,Text rendering,"John Doe, CEO",,2056 +957,958,"A bus with the destination ""Times Square"" written on the front",bus,False,Text rendering,Times Square,,1785 +958,959,"A postcard with the message ""Greetings from Hawaii"" written on it",postcard,False,Text rendering,Greetings from Hawaii,,2064 +959,960,"A book with the title ""The Alchemist"" written on the cover",book,False,Text rendering,The Alchemist,,1826 +960,961,"A newspaper with the headline ""Dow Jones reaches all-time high"" written on it",newspaper,False,Text rendering,Dow Jones reaches all-time high,,2051 +961,962,"A laptop with a sticker that says ""HP"" written on it",laptop,False,Text rendering,HP,,1837 +962,963,"A billboard advertising ""Experience the Northern Lights""",billboard,False,Text rendering,Experience the Northern Lights,,2049 +963,964,"A business card with the name ""William Johnson"" and the title ""Finance Director"" written on it",business card,False,Text rendering,"William Johnson, Finance Director",,2056 +964,965,"A map with the legend ""Oceans, Continents, Islands"" written on it",map,False,Text rendering,"Oceans, Continents, Islands",,2052 +965,966,"A t-shirt with the band name ""Pink Floyd"" written on it",t-shirt,False,Text rendering,Pink Floyd,,1756 +966,967,"A label on a jar of salsa that says ""Mango Habanero"" written on it",jar,False,Text rendering,Mango Habanero,,1712 +967,968,"A label on a jar of jam that says ""Strawberry Preserves"" written on it",jar,False,Text rendering,Strawberry Preserves,,1712 +968,969,"A poster with the slogan ""Go Green"" written on it",poster,False,Text rendering,Go Green,,2054 +969,970,"A menu at a restaurant that has the dish ""Lobster Bisque"" listed",restaurant menu,False,Text rendering,Lobster Bisque,,2058 +970,971,"A newspaper with the headline ""President Trump impeached"" written on it",newspaper,False,Text rendering,President Trump impeached,,2051 +971,972,"A bottle of cologne with the label ""Armani Code"" written on it",perfume bottle,False,Text rendering,Armani Code,,2061 +972,973,"A t-shirt with the band name ""The Who"" written on it",t-shirt,False,Text rendering,The Who,,1756 +973,974,"A ticket stub from a sports game that says ""New York Yankees"" written on it",ticket,False,Text rendering,New York Yankees,,2062 +974,975,"A book with the title ""Pride and Prejudice"" written on the cover",book,False,Text rendering,Pride and Prejudice,,1826 +975,976,"A menu at a restaurant that has the dish ""Filet Mignon"" listed",restaurant menu,False,Text rendering,Filet Mignon,,2058 +976,977,"A license plate that says ""California - The Golden State""",license plate,False,Text rendering,California - The Golden State,,2063 +977,978,"A postcard with the message ""Hola from Barcelona"" written on it",postcard,False,Text rendering,Hola from Barcelona,,2064 +978,979,"A license plate that says ""Texas - The Lone Star State""",license plate,False,Text rendering,Texas - The Lone Star State,,2063 +979,980,"A business card with the name ""Tom Johnson"" and the title ""Sales Director"" written on it",business card,False,Text rendering,"Tom Johnson, Sales Director",,2056 +980,981,"A label on a jar of pickles that says ""Dill"" written on it",jar,False,Text rendering,Dill,,1712 +981,982,"A bottle of wine with the label ""Chateau Margaux"" written on it",wine bottle,False,Text rendering,Chateau Margaux,,2066 +982,983,"A contract with the words ""Service Agreement"" written on it",contract,False,Text rendering,Service Agreement,,2059 +983,984,"A street sign that says ""School Zone""",street,False,Text rendering,School Zone,,1853 +984,985,"A notebook with the words ""Journal"" written on the front cover",notebook,False,Text rendering,Journal,,2057 +985,986,"A postcard with the message ""Wish you were here"" written on it",postcard,False,Text rendering,Wish you were here,,2064 +986,987,"A receipt from a grocery store that says ""Whole Foods"" written on it",receipt,False,Text rendering,Whole Foods,,2055 +987,988,"A mail envelope with the address ""123 Main Street"" written on it",envelope,False,Text rendering,123 Main Street,,2067 +988,989,"A map with the legend ""Highways, Railroads, Airports"" written on it",map,False,Text rendering,"Highways, Railroads, Airports",,2052 +989,990,"A contract with the words ""Employment Agreement"" written on it",contract,False,Text rendering,Employment Agreement,,2059 +990,991,"A license plate that says ""Georgia - The Peach State""",license plate,False,Text rendering,Georgia - The Peach State,,2063 +991,992,"A store window with the words ""Summer Sale"" written on it",store window,False,Text rendering,Summer Sale,,2053 +992,993,"A bus with the destination ""Disneyland"" written on the front",bus,False,Text rendering,Disneyland,,1785 +993,994,"A map with the legend ""Deserts, Forests, Lakes"" written on it",map,False,Text rendering,"Deserts, Forests, Lakes",,2052 +994,995,"A store window with the words ""Spring Collection"" written on it",store window,False,Text rendering,Spring Collection,,2053 +995,996,"A postcard with the message ""Bonjour from Paris"" written on it",postcard,False,Text rendering,Bonjour from Paris,,2064 +996,997,"A bottle of perfume with the label ""Chanel No 5"" written on it",perfume bottle,False,Text rendering,Chanel No 5,,2061 +997,998,"A newspaper with the headline ""Man lands on Mars"" written on it",newspaper,False,Text rendering,Man lands on Mars,,2051 +998,999,"A book with the title ""The Catcher in the Rye"" written on the cover",book,False,Text rendering,The Catcher in the Rye,,1826 +999,1000,"A book with the title ""To Kill a Mockingbird"" written on the cover",book,False,Text rendering,To Kill a Mockingbird,,1826 +1000,1001,"A t-shirt with the band logo ""The Beatles"" written on it",t-shirt,False,Text rendering,The Beatles,,1756 +1001,1002,"A billboard advertising ""Visit the Pyramids of Giza""",billboard,False,Text rendering,Visit the Pyramids of Giza,,2049 +1002,1003,apple on a street at night,apple,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/apple.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1003,1004,backpack in a restaurant,backpack,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/backpack.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1004,1005,banana in a forest,banana,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/banana.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1005,1006,baseball bat in a forest,baseball bat,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/baseball_bat.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1006,1007,baseball glove in a kitchen,baseball glove,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/baseball_glove.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/kitchen.jpeg, +1007,1008,bear in a living room,bear,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bear.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1008,1009,bed on a street at night,bed,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bed.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1009,1010,bench in a kitchen,bench,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bench.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/kitchen.jpeg, +1010,1011,bicycle in a restaurant,bicycle,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bicycle.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1011,1012,bird in a living room,bird,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bird.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1012,1013,boat in a restaurant,boat,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/boat.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1013,1014,book in a restaurant,book,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/book.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1014,1015,bottle in the mountains,bottle,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bottle.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1015,1016,bowl in a forest,bowl,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bowl.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1016,1017,broccoli on a street at night,broccoli,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/broccoli.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1017,1018,bus in a forest,bus,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bus.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1018,1019,cake in a forest,cake,False,img2img: 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https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1029,1030,donut on a street at night,donut,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/donut.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1030,1031,elephant in a living room,elephant,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/elephant.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1031,1032,fire hydrant in a living room,fire hydrant,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/fire_hydrant.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1032,1033,fork on a street at 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night,keyboard,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/keyboard.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1040,1041,kite in a forest,kite,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/kite.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1041,1042,knife in the mountains,knife,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/knife.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1042,1043,laptop in a forest,laptop,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/laptop.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1043,1044,microwave in a living room,microwave,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/microwave.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1044,1045,motorcycle in a living room,motorcycle,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/motorcycle.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1045,1046,mouse in a restaurant,mouse,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/mouse.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1046,1047,orange on a street at night,orange,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/orange.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1047,1048,oven in a living room,oven,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/oven.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1048,1049,parking meter in a living room,parking meter,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/parking_meter.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1049,1050,pizza on a street at night,pizza,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/pizza.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1050,1051,potted plant in a forest,potted plant,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/potted_plant.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1051,1052,refrigerator in a living room,refrigerator,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/refrigerator.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1052,1053,remote in a restaurant,remote,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/remote.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1053,1054,sandwich in the mountains,sandwich,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sandwich.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1054,1055,scissors in the mountains,scissors,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/scissors.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1055,1056,sheep on a street at night,sheep,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sheep.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1056,1057,sink in a forest,sink,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sink.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1057,1058,skateboard in a living room,skateboard,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/skateboard.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1058,1059,skis in a living room,skis,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/skis.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1059,1060,snowboard in a restaurant,snowboard,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/snowboard.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1060,1061,sofa on a street at night,sofa,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sofa.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1061,1062,spoon in the mountains,spoon,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/spoon.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1062,1063,sports ball in a forest,sports ball,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sports_ball.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1063,1064,stop sign in a restaurant,stop sign,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/stop_sign.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1064,1065,suitcase in a living room,suitcase,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/suitcase.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1065,1066,surfboard in a living room,surfboard,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/surfboard.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1066,1067,teddy bear on a street at night,teddy bear,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/teddy_bear.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1067,1068,tennis racket on a 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https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1071,1072,toothbrush in a restaurant,toothbrush,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/toothbrush.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1072,1073,traffic light in a living room,traffic light,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/traffic_light.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1073,1074,train in the mountains,train,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/train.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1074,1075,truck in a forest,truck,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/truck.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1075,1076,tv on a street at night,tv,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/tv.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1076,1077,umbrella in a living room,umbrella,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/umbrella.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1077,1078,vase in the mountains,vase,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/vase.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1078,1079,wine glass in the mountains,wine glass,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/wine_glass.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/mountains.jpeg, +1079,1080,zebra in a living room,zebra,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/zebra.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1080,1081,suitcase in a market,suitcase,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/suitcase.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/market.jpeg, +1081,1082,surfboard in a market,surfboard,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/surfboard.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/market.jpeg, +1082,1083,teddy bear in a market,teddy bear,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/teddy_bear.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/market.jpeg, +1083,1084,tennis racket in a market,tennis racket,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/tennis_racket.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/market.jpeg, +1084,1085,oven in a market,oven,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/oven.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/market.jpeg, +1085,1086,parking meter in a market,parking meter,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/parking_meter.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/market.jpeg, +1086,1087,carrot in a market,carrot,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/carrot.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/market.jpeg, +1087,1088,cat in a market,cat,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/cat.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/market.jpeg, +1088,1089,apple in a living room,apple,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/apple.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1089,1090,backpack in a kitchen,backpack,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/backpack.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/kitchen.jpeg, +1090,1091,banana on a street at night,banana,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/banana.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1091,1092,baseball bat in a kitchen,baseball bat,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/baseball_bat.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/kitchen.jpeg, +1092,1093,baseball glove in a restaurant,baseball glove,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/baseball_glove.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1093,1094,bear in a restaurant,bear,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bear.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1094,1095,bed in a restaurant,bed,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bed.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1095,1096,bench in a living room,bench,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bench.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1096,1097,bicycle in a living room,bicycle,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bicycle.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/living_room.jpeg, +1097,1098,bird in a restaurant,bird,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bird.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/restaurant.jpeg, +1098,1099,boat in a forest,boat,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/boat.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1099,1100,book in a forest,book,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/book.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1100,1101,bottle in a forest,bottle,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bottle.jpeg in https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/forest.jpeg, +1101,1102,bowl on a street at night,bowl,False,img2img: Environments,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bowl.jpeg on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/environments/night_street.jpeg, +1102,1103,female chef holding a zebra,"zebra, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/zebra.jpeg, +1103,1104,female doctor holding a wine glass,"wine glass, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/wine_glass.jpeg, +1104,1105,female firefighter holding a vase,"vase, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/vase.jpeg, +1105,1106,female police officer holding an umbrella,"umbrella, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/umbrella.jpeg, +1106,1107,male chef holding a tv,"tv, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/tv.jpeg, +1107,1108,male doctor holding a truck,"truck, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/truck.jpeg, +1108,1109,male firefighter holding a train,"train, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/train.jpeg, +1109,1110,male police officer holding a traffic light,"traffic light, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/traffic_light.jpeg, +1110,1111,female chef holding a toothbrush,"toothbrush, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/toothbrush.jpeg, +1111,1112,female doctor holding a toilet,"toilet, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/toilet.jpeg, +1112,1113,female firefighter holding a toaster,"toaster, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/toaster.jpeg, +1113,1114,female police officer holding a tie,"tie, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/tie.jpeg, +1114,1115,male chef holding a tennis racket,"tennis racket, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/tennis_racket.jpeg, +1115,1116,male doctor holding a teddy bear,"teddy bear, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/teddy_bear.jpeg, +1116,1117,male firefighter holding a surfboard,"surfboard, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/surfboard.jpeg, +1117,1118,male police officer holding a suitcase,"suitcase, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/suitcase.jpeg, +1118,1119,female chef holding a stop sign,"stop sign, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/stop_sign.jpeg, +1119,1120,female doctor holding a sports ball,"sports ball, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sports_ball.jpeg, +1120,1121,female firefighter holding a spoon,"spoon, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/spoon.jpeg, +1121,1122,female police officer holding a sofa,"sofa, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sofa.jpeg, +1122,1123,male chef holding a snowboard,"snowboard, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/snowboard.jpeg, +1123,1124,male firefighter holding a skateboard,"skateboard, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/skateboard.jpeg, +1124,1125,male police officer holding a sink,"sink, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sink.jpeg, +1125,1126,female chef holding a sheep,"sheep, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sheep.jpeg, +1126,1127,female firefighter holding a sandwich,"sandwich, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sandwich.jpeg, +1127,1128,female police officer holding a remote,"remote, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/remote.jpeg, +1128,1129,male chef holding a refrigerator,"refrigerator, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/refrigerator.jpeg, +1129,1130,male doctor holding a potted plant,"potted plant, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/potted_plant.jpeg, +1130,1131,male firefighter holding a pizza,"pizza, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/pizza.jpeg, +1131,1132,male police officer holding a parking meter,"parking meter, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/parking_meter.jpeg, +1132,1133,female chef holding an oven,"oven, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/oven.jpeg, +1133,1134,female doctor holding an orange,"orange, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/orange.jpeg, +1134,1135,female firefighter holding a mouse,"mouse, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/mouse.jpeg, +1135,1136,female police officer holding a motorcycle,"motorcycle, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/motorcycle.jpeg, +1136,1137,male chef holding a microwave,"microwave, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/microwave.jpeg, +1137,1138,male doctor holding a laptop,"laptop, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/laptop.jpeg, +1138,1139,male firefighter holding a knife,"knife, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/knife.jpeg, +1139,1140,male police officer holding a kite,"kite, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/kite.jpeg, +1140,1141,female chef holding a keyboard,"keyboard, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg holding https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/keyboard.jpeg, +1141,1142,female doctor standing next to a hot dog,"hot dog, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/hot_dog.jpeg, +1142,1143,female firefighter standing next to a horse,"horse, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/horse.jpeg, +1143,1144,female police officer standing next to a handbag,"handbag, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/handbag.jpeg, +1144,1145,male chef standing next to a hair drier,"hair drier, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/hair_drier.jpeg, +1145,1146,male doctor standing next to a giraffe,"giraffe, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/giraffe.jpeg, +1146,1147,male firefighter standing next to a frisbee,"frisbee, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/frisbee.jpeg, +1147,1148,male police officer standing next to a fork,"fork, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/fork.jpeg, +1148,1149,female chef standing next to a fire hydrant,"fire hydrant, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/fire_hydrant.jpeg, +1149,1150,female doctor standing next to an elephant,"elephant, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/elephant.jpeg, +1150,1151,female firefighter standing next to a donut,"donut, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/donut.jpeg, +1151,1152,female police officer standing next to a dog,"dog, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/dog.jpeg, +1152,1153,male chef standing next to a dining table,"dining table, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/dining_table.jpeg, +1153,1154,male doctor standing next to a cup,"cup, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/cup.jpeg, +1154,1155,male firefighter standing next to a cow,"cow, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/cow.jpeg, +1155,1156,male police officer standing next to a clock,"clock, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/clock.jpeg, +1156,1157,female chef standing next to a chair,"chair, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/chair.jpeg, +1157,1158,female doctor standing next to a cell phone,"cell phone, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/cell_phone.jpeg, +1158,1159,female firefighter standing next to a cat,"cat, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/cat.jpeg, +1159,1160,female police officer standing next to a carrot,"carrot, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/carrot.jpeg, +1160,1161,male chef standing next to a car,"car, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/car.jpeg, +1161,1162,male doctor standing next to a cake,"cake, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/cake.jpeg, +1162,1163,male firefighter standing next to a bus,"bus, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bus.jpeg, +1163,1164,male police officer standing next to a broccoli,"broccoli, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/broccoli.jpeg, +1164,1165,female chef standing next to a bowl,"bowl, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bowl.jpeg, +1165,1166,female doctor standing next to a bottle,"bottle, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bottle.jpeg, +1166,1167,female firefighter standing next to a book,"book, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/book.jpeg, +1167,1168,female police officer standing next to a boat,"boat, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/boat.jpeg, +1168,1169,male chef standing next to a bird,"bird, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bird.jpeg, +1169,1170,male doctor standing next to a bicycle,"bicycle, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bicycle.jpeg, +1170,1171,male firefighter standing next to a bench,"bench, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bench.jpeg, +1171,1172,male police officer standing next to a bed,"bed, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bed.jpeg, +1172,1173,female chef standing next to a bear,"bear, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/bear.jpeg, +1173,1174,female doctor standing next to a baseball glove,"baseball glove, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/baseball_glove.jpeg, +1174,1175,female firefighter standing next to a baseball bat,"baseball bat, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/baseball_bat.jpeg, +1175,1176,female police officer standing next to a banana,"banana, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/banana.jpeg, +1176,1177,male chef standing next to a backpack,"backpack, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/backpack.jpeg, +1177,1178,male doctor standing next to an apple,"apple, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/apple.jpeg, +1178,1179,male firefighter standing next to an airplane,"airplane, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg standing next to https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/airplane.jpeg, +1179,1180,male firefighter standing on a zebra,"zebra, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/zebra.jpeg, +1180,1181,male doctor standing on a wine glass,"wine glass, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/wine_glass.jpeg, +1181,1182,male police officer standing on a vase,"vase, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/vase.jpeg, +1182,1183,male chef standing on an umbrella,"umbrella, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/umbrella.jpeg, +1183,1184,female chef standing on a tv,"tv, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/tv.jpeg, +1184,1185,female doctor standing on a truck,"truck, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/truck.jpeg, +1185,1186,female firefighter standing on a train,"train, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/train.jpeg, +1186,1187,female police officer standing on a traffic light,"traffic light, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/traffic_light.jpeg, +1187,1188,male firefighter standing on a toothbrush,"toothbrush, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/toothbrush.jpeg, +1188,1189,male doctor standing on a toilet,"toilet, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/toilet.jpeg, +1189,1190,male police officer standing on a toaster,"toaster, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/toaster.jpeg, +1190,1191,male chef standing on a tie,"tie, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/tie.jpeg, +1191,1192,female chef standing on a tennis racket,"tennis racket, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/tennis_racket.jpeg, +1192,1193,female doctor standing on a teddy bear,"teddy bear, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/teddy_bear.jpeg, +1193,1194,female firefighter standing on a surfboard,"surfboard, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/surfboard.jpeg, +1194,1195,female police officer standing on a suitcase,"suitcase, female police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_police_officer.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/suitcase.jpeg, +1195,1196,male firefighter standing on a stop sign,"stop sign, male firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_firefighter.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/stop_sign.jpeg, +1196,1197,male doctor standing on a sports ball,"sports ball, male doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_doctor.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sports_ball.jpeg, +1197,1198,male police officer standing on a spoon,"spoon, male police officer",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_police_officer.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/spoon.jpeg, +1198,1199,male chef standing on a sofa,"sofa, male chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/male_chef.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sofa.jpeg, +1199,1200,female chef standing on a snowboard,"snowboard, female chef",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_chef.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/snowboard.jpeg, +1200,1201,female doctor standing on a skateboard,"skateboard, female doctor",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_doctor.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/skateboard.jpeg, +1201,1202,female firefighter standing on a sink,"sink, female firefighter",False,img2img: Relations,,https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/people/female_firefighter.jpeg standing on https://raw.githubusercontent.com/IntelLabs/generative-ai/main/data/img2img/objects/sink.jpeg, +1202,1203,"toothbrush, sink","toothbrush, sink",True,Multiple objects,,,"1715,1807" +1203,1204,"fork, conditioner","fork, conditioner",True,Multiple objects,,,"1771,2077" +1204,1205,"orange, apple","orange, apple",True,Multiple objects,,,"1947,1727" +1205,1206,"doorknob, goat","doorknob, goat",True,Multiple objects,,,"2078,1897" +1206,1207,"bowl, juicer","bowl, juicer",True,Multiple objects,,,"1805,2079" +1207,1208,"chalk, pan","chalk, pan",True,Multiple objects,,,"2080,2081" +1208,1209,"cheese, mouse","cheese, mouse",True,Multiple objects,,,"2082,1760" +1209,1210,"brick, microwave","brick, microwave",True,Multiple objects,,,"1762,1812" +1210,1211,"scissors, hair","scissors, hair",True,Multiple objects,,,"1811,2083" +1211,1212,"basketball, watch","basketball, watch",True,Multiple objects,,,"2084,1906" +1212,1213,"dog, goat","dog, goat",True,Multiple objects,,,"1748,1897" +1213,1214,"salamander, celery","salamander, celery",True,Multiple objects,,,"2085,2086" +1214,1215,"remote, television","remote, television",True,Multiple objects,,,"1816,1989" +1215,1216,"smartphone, lemur","smartphone, lemur",True,Multiple objects,,,"1972,2087" +1216,1217,"screw, hammer","screw, hammer",True,Multiple objects,,,"2088,2001" +1217,1218,"kettle, salamander","kettle, salamander",True,Multiple objects,,,"2089,2085" +1218,1219,"frog, flower","frog, flower",True,Multiple objects,,,"1991,1888" +1219,1220,"duck, mug","duck, mug",True,Multiple objects,,,"1946,1707" +1220,1221,"car, bus","car, bus",True,Multiple objects,,,"1728,1785" +1221,1222,"starfish, turkey","starfish, turkey",True,Multiple objects,,,"2090,1938" +1222,1223,"heater, table","heater, table",True,Multiple objects,,,"2091,1854" +1223,1224,"sea sponge, gazelle","sea sponge, gazelle",True,Multiple objects,,,"2092,2093" +1224,1225,"football, towel","football, towel",True,Multiple objects,,,"2094,2095" +1225,1226,"computer, shampoo","computer, shampoo",True,Multiple objects,,,"1973,2096" +1226,1227,"glue, scissors","glue, scissors",True,Multiple objects,,,"2097,1811" +1227,1228,"guitar, bat","guitar, bat",True,Multiple objects,,,"1910,2042" +1228,1229,"violin, cello","violin, cello",True,Multiple objects,,,"1732,2098" +1229,1230,"pen, rabbit","pen, rabbit",True,Multiple objects,,,"1902,1954" +1230,1231,"tomato, onion","tomato, onion",True,Multiple objects,,,"1981,2099" +1231,1232,"fridge, glasses","fridge, glasses",True,Multiple objects,,,"2100,2101" +1232,1233,"needle, yarn","needle, yarn",True,Multiple objects,,,"2102,2103" +1233,1234,"frog, fridge","frog, fridge",True,Multiple objects,,,"1991,2100" +1234,1235,"helicopter, airplane","helicopter, airplane",True,Multiple objects,,,"1776,1799" +1235,1236,"fireplace, sea sponge, screwdriver","fireplace, sea sponge, screwdriver",True,Multiple objects,,,"1859,2092,1773" +1236,1237,"banana, kiwi, knife","banana, kiwi, knife",True,Multiple objects,,,"1765,1742,1738" +1237,1238,"salmon, microphone, ice","salmon, microphone, ice",True,Multiple objects,,,"2104,2105,2106" +1238,1239,"newspaper, book, pencil","newspaper, book, pencil",True,Multiple objects,,,"2051,1826,1774" +1239,1240,"garbage, rope, lettuce","garbage, rope, lettuce",True,Multiple objects,,,"2107,2108,2109" +1240,1241,"drill, shelf, screw","drill, shelf, screw",True,Multiple objects,,,"2110,2111,2088" +1241,1242,"notebook, trousers, barbecue","notebook, trousers, barbecue",True,Multiple objects,,,"2057,2112,2113" +1242,1243,"dryer, iron, pan","dryer, iron, pan",True,Multiple objects,,,"2114,2115,2081" +1243,1244,"cheese, sweater, parrot","cheese, sweater, parrot",True,Multiple objects,,,"2082,2116,1914" +1244,1245,"broom, vacuum, bin","broom, vacuum, bin",True,Multiple objects,,,"2117,2118,2119" +1245,1246,"pheasant, ladder, brush","pheasant, ladder, brush",True,Multiple objects,,,"2120,1752,2002" +1246,1247,"grape, nut, cutting board","grape, nut, cutting board",True,Multiple objects,,,"2121,2122,2123" +1247,1248,"blanket, fish, soil","blanket, fish, soil",True,Multiple objects,,,"1704,1723,2124" +1248,1249,"pot, spathetti, oil","pot, spathetti, oil",True,Multiple objects,,,"2125,2126,2127" +1249,1250,"conditioner, nail, chipmunk","conditioner, nail, chipmunk",True,Multiple objects,,,"2077,2007,1911" +1250,1251,"brick, shovel, glove","brick, shovel, glove",True,Multiple objects,,,"1762,2128,2129" +1251,1252,"cable, key, bat","cable, key, bat",True,Multiple objects,,,"2130,2131,2042" +1252,1253,"card, envelope, ink","card, envelope, ink",True,Multiple objects,,,"2132,2067,2133" +1253,1254,"hamster, sink, buzzard","hamster, sink, buzzard",True,Multiple objects,,,"1984,1807,2134" +1254,1255,"juicer, grapefruit, lemon","juicer, grapefruit, lemon",True,Multiple objects,,,"2079,2135,1730" +1255,1256,"bench, turtle, dragon","bench, turtle, dragon",True,Multiple objects,,,"1795,1957,1764" +1256,1257,"blanket, pillow, mattress","blanket, pillow, mattress",True,Multiple objects,,,"1704,1718,2136" +1257,1258,"truck, apple, albatross","truck, apple, albatross",True,Multiple objects,,,"1820,1727,1899" +1258,1259,"bike, helmet, lock","bike, helmet, lock",True,Multiple objects,,,"2012,2137,2138" +1259,1260,"trombone, chili, glasses","trombone, chili, glasses",True,Multiple objects,,,"2139,2140,2101" +1260,1261,"wall, poster, clock","wall, poster, clock",True,Multiple objects,,,"2027,2054,1777" +1261,1262,"printer, giraffe, basket","printer, giraffe, basket",True,Multiple objects,,,"2141,1767,2142" +1262,1263,"sofa, table, loudspeaker","sofa, table, loudspeaker",True,Multiple objects,,,"2020,1854,2143" +1263,1264,"starfish, gecko, ostrich","starfish, gecko, ostrich",True,Multiple objects,,,"2090,2144,2145" +1264,1265,"elephant, tree, giraffe","elephant, tree, giraffe",True,Multiple objects,,,"1740,1737,1767" +1265,1266,"suitcase, watch, badger","suitcase, watch, badger",True,Multiple objects,,,"1827,1906,2146" +1266,1267,"umbrella, jacket, glove","umbrella, jacket, glove",True,Multiple objects,,,"1809,2147,2129" +1267,1268,"buzzard, grape, watch","buzzard, grape, watch",True,Multiple objects,,,"2134,2121,1906" +1268,1269,"ipod, earphones, book, bag","ipod, earphones, book, bag",True,Multiple objects,,,"2148,2149,1826,1898" +1269,1270,"chocolate, keyboard, tea, seagull","chocolate, keyboard, tea, seagull",True,Multiple objects,,,"2150,1797,2151,1907" +1270,1271,"cake, knife, cupcake, coffee","cake, knife, cupcake, coffee",True,Multiple objects,,,"1794,1738,2152,2153" +1271,1272,"juicer, tub, fan, shelf","juicer, tub, fan, shelf",True,Multiple objects,,,"2079,2154,2155,2111" +1272,1273,"horse, donkey, dog, cat","horse, donkey, dog, cat",True,Multiple objects,,,"1950,2156,1748,1749" +1273,1274,"chicken, shower, smartphone, teapot","chicken, shower, smartphone, teapot",True,Multiple objects,,,"1940,2157,1972,1999" +1274,1275,"screen, keyboard, mug, pen","screen, keyboard, mug, pen",True,Multiple objects,,,"2158,1797,1707,1902" +1275,1276,"scarf, fan, ball, shrimp","scarf, fan, ball, shrimp",True,Multiple objects,,,"1786,2155,2159,2160" +1276,1277,"flour, bowl, oven, spoon","flour, bowl, oven, spoon",True,Multiple objects,,,"2161,1805,2048,1763" +1277,1278,"cake, basket, polar bear, desk","cake, basket, polar bear, desk",True,Multiple objects,,,"1794,2142,2031,1757" +1278,1279,"dryer, washing machine, basket, sock","dryer, washing machine, basket, sock",True,Multiple objects,,,"2114,2162,2142,2163" +1279,1280,"dolphin, toucan, owl, sculpture","dolphin, toucan, owl, sculpture",True,Multiple objects,,,"1955,2164,1746,1783" +1280,1281,"vase, flower, table, chair","vase, flower, table, chair",True,Multiple objects,,,"1845,1888,1854,1796" +1281,1282,"dog, shampoo, juice, rope","dog, shampoo, juice, rope",True,Multiple objects,,,"1748,2096,2165,2108" +1282,1283,"lion, monkey, tiger, giraffe","lion, monkey, tiger, giraffe",True,Multiple objects,,,"1975,1986,1979,1767" +1283,1284,"cake, ipod, magazine, soap","cake, ipod, magazine, soap",True,Multiple objects,,,"1794,2148,2166,2167" +1284,1285,"cloth, bucket, broom, glove","cloth, bucket, broom, glove",True,Multiple objects,,,"2168,2169,2117,2129" +1285,1286,"glue, guinea pig, remote, kiwi","glue, guinea pig, remote, kiwi",True,Multiple objects,,,"2097,2170,1816,1742" +1286,1287,"wood, saw, axe, shovel","wood, saw, axe, shovel",True,Multiple objects,,,"2171,1970,2172,2128" +1287,1288,"monkey, laundry basket, alligator, purse","monkey, laundry basket, alligator, purse",True,Multiple objects,,,"1986,2173,2174,2175" +1288,1289,"fridge, ham, milk, salad","fridge, ham, milk, salad",True,Multiple objects,,,"2100,2176,2177,1963" +1289,1290,"flower, sandals, chainsaw, toothpaste","flower, sandals, chainsaw, toothpaste",True,Multiple objects,,,"1888,2178,2179,2180" +1290,1291,"present, tree, candle, cookie","present, tree, candle, cookie",True,Multiple objects,,,"2181,1737,1779,2028" +1291,1292,"noodle, dove, deodorant, buffalo","noodle, dove, deodorant, buffalo",True,Multiple objects,,,"2182,1720,2183,2184" +1292,1293,"glassware, can opener, pot, chili","glassware, can opener, pot, chili",True,Multiple objects,,,"2185,2186,2125,2140" +1293,1294,"dollar, shrimp, box, starfish","dollar, shrimp, box, starfish",True,Multiple objects,,,"2187,2160,2188,2090" +1294,1295,"flute, trumpet, drum, cello","flute, trumpet, drum, cello",True,Multiple objects,,,"2189,2190,1781,2098" +1295,1296,"raspberry, lighter, meatball, chili","raspberry, lighter, meatball, chili",True,Multiple objects,,,"2191,2192,2193,2140" +1296,1297,"sunscreen, towel, book, umbrella","sunscreen, towel, book, umbrella",True,Multiple objects,,,"2194,2095,1826,1809" +1297,1298,"grater, strawberry, sunglasses, jellyfish","grater, strawberry, sunglasses, jellyfish",True,Multiple objects,,,"2195,1703,2196,2197" +1298,1299,"rollerblade, skateboard, helmet, backpack","rollerblade, skateboard, helmet, backpack",True,Multiple objects,,,"2198,1801,2137,1844" +1299,1300,"hose, shoe, panther, macaroni","hose, shoe, panther, macaroni",True,Multiple objects,,,"2199,1893,2200,2201" +1300,1301,"printer, screen, pencil, keyboard","printer, screen, pencil, keyboard",True,Multiple objects,,,"2141,2158,1774,1797" +1301,1302,"tape, chewing gum, paper clip, deer","tape, chewing gum, paper clip, deer",True,Multiple objects,,,"2202,2203,2204,1915" +1302,1303,three books and twice as many backpacks,"book, backpack",True,Controlled arithmetic,"3,6",,"1826,1844" +1303,1304,three spoons and twice as many bowls,"spoon, bowl",True,Controlled arithmetic,"3,6",,"1763,1805" +1304,1305,three hats and twice as many shoes,"hat, shoe",True,Controlled arithmetic,"3,6",,"1905,1893" +1305,1306,three toothbrushes and twice as many donuts,"toothbrush, donut",True,Controlled arithmetic,"3,6",,"1715,1829" +1306,1307,three oranges and twice as many apples,"orange, apple",True,Controlled arithmetic,"3,6",,"1947,1727" +1307,1308,three cups and twice as many bottles,"cup, bottle",True,Controlled arithmetic,"3,6",,"1787,1836" +1308,1309,three remotes and twice as many carrots,"remote, carrot",True,Controlled arithmetic,"3,6",,"1816,1808" +1309,1310,three birds and twice as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"3,6",,"1739,1809" +1310,1311,three fire hydrants and twice as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"3,6",,"1825,1841" +1311,1312,three surfboards and twice as many cows,"surfboard, cow",True,Controlled arithmetic,"3,6",,"1830,1791" +1312,1313,six books and twice as many backpacks,"book, backpack",True,Controlled arithmetic,"6,12",,"1826,1844" +1313,1314,six spoons and twice as many bowls,"spoon, bowl",True,Controlled arithmetic,"6,12",,"1763,1805" +1314,1315,six hats and twice as many shoes,"hat, shoe",True,Controlled arithmetic,"6,12",,"1905,1893" +1315,1316,six toothbrushes and twice as many donuts,"toothbrush, donut",True,Controlled arithmetic,"6,12",,"1715,1829" +1316,1317,six oranges and twice as many apples,"orange, apple",True,Controlled arithmetic,"6,12",,"1947,1727" +1317,1318,six cups and twice as many bottles,"cup, bottle",True,Controlled arithmetic,"6,12",,"1787,1836" +1318,1319,six remotes and twice as many carrots,"remote, carrot",True,Controlled arithmetic,"6,12",,"1816,1808" +1319,1320,six birds and twice as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"6,12",,"1739,1809" +1320,1321,six fire hydrants and twice as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"6,12",,"1825,1841" +1321,1322,six surfboards and twice as many cows,"surfboard, cow",True,Controlled arithmetic,"6,12",,"1830,1791" +1322,1323,two books and three times as many backpacks,"book, backpack",True,Controlled arithmetic,"2,6",,"1826,1844" +1323,1324,two spoons and three times as many bowls,"spoon, bowl",True,Controlled arithmetic,"2,6",,"1763,1805" +1324,1325,two hats and three times as many shoes,"hat, shoe",True,Controlled arithmetic,"2,6",,"1905,1893" +1325,1326,two toothbrushes and three times as many donuts,"toothbrush, donut",True,Controlled arithmetic,"2,6",,"1715,1829" +1326,1327,two oranges and three times as many apples,"orange, apple",True,Controlled arithmetic,"2,6",,"1947,1727" +1327,1328,two cups and three times as many bottles,"cup, bottle",True,Controlled arithmetic,"2,6",,"1787,1836" +1328,1329,two remotes and three times as many carrots,"remote, carrot",True,Controlled arithmetic,"2,6",,"1816,1808" +1329,1330,two birds and three times as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"2,6",,"1739,1809" +1330,1331,two fire hydrants and three times as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"2,6",,"1825,1841" +1331,1332,two surfboards and three times as many cows,"surfboard, cow",True,Controlled arithmetic,"2,6",,"1830,1791" +1332,1333,four books and three times as many backpacks,"book, backpack",True,Controlled arithmetic,"4,12",,"1826,1844" +1333,1334,four spoons and three times as many bowls,"spoon, bowl",True,Controlled arithmetic,"4,12",,"1763,1805" +1334,1335,four hats and three times as many shoes,"hat, shoe",True,Controlled arithmetic,"4,12",,"1905,1893" +1335,1336,four toothbrushes and three times as many donuts,"toothbrush, donut",True,Controlled arithmetic,"4,12",,"1715,1829" +1336,1337,four oranges and three times as many apples,"orange, apple",True,Controlled arithmetic,"4,12",,"1947,1727" +1337,1338,four cups and three times as many bottles,"cup, bottle",True,Controlled arithmetic,"4,12",,"1787,1836" +1338,1339,four remotes and three times as many carrots,"remote, carrot",True,Controlled arithmetic,"4,12",,"1816,1808" +1339,1340,four birds and three times as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"4,12",,"1739,1809" +1340,1341,four fire hydrants and three times as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"4,12",,"1825,1841" +1341,1342,four surfboards and three times as many cows,"surfboard, cow",True,Controlled arithmetic,"4,12",,"1830,1791" +1342,1343,two books and four times as many backpacks,"book, backpack",True,Controlled arithmetic,"2,8",,"1826,1844" +1343,1344,two spoons and four times as many bowls,"spoon, bowl",True,Controlled arithmetic,"2,8",,"1763,1805" +1344,1345,two hats and four times as many shoes,"hat, shoe",True,Controlled arithmetic,"2,8",,"1905,1893" +1345,1346,two toothbrushes and four times as many donuts,"toothbrush, donut",True,Controlled arithmetic,"2,8",,"1715,1829" +1346,1347,two oranges and four times as many apples,"orange, apple",True,Controlled arithmetic,"2,8",,"1947,1727" +1347,1348,two cups and four times as many bottles,"cup, bottle",True,Controlled arithmetic,"2,8",,"1787,1836" +1348,1349,two remotes and four times as many carrots,"remote, carrot",True,Controlled arithmetic,"2,8",,"1816,1808" +1349,1350,two birds and four times as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"2,8",,"1739,1809" +1350,1351,two fire hydrants and four times as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"2,8",,"1825,1841" +1351,1352,two surfboards and four times as many cows,"surfboard, cow",True,Controlled arithmetic,"2,8",,"1830,1791" +1352,1353,six books and half as many backpacks,"book, backpack",True,Controlled arithmetic,"6,3",,"1826,1844" +1353,1354,six spoons and half as many bowls,"spoon, bowl",True,Controlled arithmetic,"6,3",,"1763,1805" +1354,1355,six hats and half as many shoes,"hat, shoe",True,Controlled arithmetic,"6,3",,"1905,1893" +1355,1356,six toothbrushes and half as many donuts,"toothbrush, donut",True,Controlled arithmetic,"6,3",,"1715,1829" +1356,1357,six oranges and half as many apples,"orange, apple",True,Controlled arithmetic,"6,3",,"1947,1727" +1357,1358,six cups and half as many bottles,"cup, bottle",True,Controlled arithmetic,"6,3",,"1787,1836" +1358,1359,six remotes and half as many carrots,"remote, carrot",True,Controlled arithmetic,"6,3",,"1816,1808" +1359,1360,six birds and half as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"6,3",,"1739,1809" +1360,1361,six fire hydrants and half as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"6,3",,"1825,1841" +1361,1362,six surfboards and half as many cows,"surfboard, cow",True,Controlled arithmetic,"6,3",,"1830,1791" +1362,1363,twelve books and half as many backpacks,"book, backpack",True,Controlled arithmetic,"12,6",,"1826,1844" +1363,1364,twelve spoons and half as many bowls,"spoon, bowl",True,Controlled arithmetic,"12,6",,"1763,1805" +1364,1365,twelve hats and half as many shoes,"hat, shoe",True,Controlled arithmetic,"12,6",,"1905,1893" +1365,1366,twelve toothbrushes and half as many donuts,"toothbrush, donut",True,Controlled arithmetic,"12,6",,"1715,1829" +1366,1367,twelve oranges and half as many apples,"orange, apple",True,Controlled arithmetic,"12,6",,"1947,1727" +1367,1368,twelve cups and half as many bottles,"cup, bottle",True,Controlled arithmetic,"12,6",,"1787,1836" +1368,1369,twelve remotes and half as many carrots,"remote, carrot",True,Controlled arithmetic,"12,6",,"1816,1808" +1369,1370,twelve birds and half as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"12,6",,"1739,1809" +1370,1371,twelve fire hydrants and half as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"12,6",,"1825,1841" +1371,1372,twelve surfboards and half as many cows,"surfboard, cow",True,Controlled arithmetic,"12,6",,"1830,1791" +1372,1373,six books and a third as many backpacks,"book, backpack",True,Controlled arithmetic,"6,2",,"1826,1844" +1373,1374,six spoons and a third as many bowls,"spoon, bowl",True,Controlled arithmetic,"6,2",,"1763,1805" +1374,1375,six hats and a third as many shoes,"hat, shoe",True,Controlled arithmetic,"6,2",,"1905,1893" +1375,1376,six toothbrushes and a third as many donuts,"toothbrush, donut",True,Controlled arithmetic,"6,2",,"1715,1829" +1376,1377,six oranges and a third as many apples,"orange, apple",True,Controlled arithmetic,"6,2",,"1947,1727" +1377,1378,six cups and a third as many bottles,"cup, bottle",True,Controlled arithmetic,"6,2",,"1787,1836" +1378,1379,six remotes and a third as many carrots,"remote, carrot",True,Controlled arithmetic,"6,2",,"1816,1808" +1379,1380,six birds and a third as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"6,2",,"1739,1809" +1380,1381,six fire hydrants and a third as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"6,2",,"1825,1841" +1381,1382,six surfboards and a third as many cows,"surfboard, cow",True,Controlled arithmetic,"6,2",,"1830,1791" +1382,1383,twelve books and a third as many backpacks,"book, backpack",True,Controlled arithmetic,"12,4",,"1826,1844" +1383,1384,twelve spoons and a third as many bowls,"spoon, bowl",True,Controlled arithmetic,"12,4",,"1763,1805" +1384,1385,twelve hats and a third as many shoes,"hat, shoe",True,Controlled arithmetic,"12,4",,"1905,1893" +1385,1386,twelve toothbrushes and a third as many donuts,"toothbrush, donut",True,Controlled arithmetic,"12,4",,"1715,1829" +1386,1387,twelve oranges and a third as many apples,"orange, apple",True,Controlled arithmetic,"12,4",,"1947,1727" +1387,1388,twelve cups and a third as many bottles,"cup, bottle",True,Controlled arithmetic,"12,4",,"1787,1836" +1388,1389,twelve remotes and a third as many carrots,"remote, carrot",True,Controlled arithmetic,"12,4",,"1816,1808" +1389,1390,twelve birds and a third as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"12,4",,"1739,1809" +1390,1391,twelve fire hydrants and a third as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"12,4",,"1825,1841" +1391,1392,twelve surfboards and a third as many cows,"surfboard, cow",True,Controlled arithmetic,"12,4",,"1830,1791" +1392,1393,eight books and a quarter as many backpacks,"book, backpack",True,Controlled arithmetic,"8,2",,"1826,1844" +1393,1394,eight spoons and a quarter as many bowls,"spoon, bowl",True,Controlled arithmetic,"8,2",,"1763,1805" +1394,1395,eight hats and a quarter as many shoes,"hat, shoe",True,Controlled arithmetic,"8,2",,"1905,1893" +1395,1396,eight toothbrushes and a quarter as many donuts,"toothbrush, donut",True,Controlled arithmetic,"8,2",,"1715,1829" +1396,1397,eight oranges and a quarter as many apples,"orange, apple",True,Controlled arithmetic,"8,2",,"1947,1727" +1397,1398,eight cups and a quarter as many bottles,"cup, bottle",True,Controlled arithmetic,"8,2",,"1787,1836" +1398,1399,eight remotes and a quarter as many carrots,"remote, carrot",True,Controlled arithmetic,"8,2",,"1816,1808" +1399,1400,eight birds and a quarter as many umbrellas,"bird, umbrella",True,Controlled arithmetic,"8,2",,"1739,1809" +1400,1401,eight fire hydrants and a quarter as many sandwiches,"fire hydrant, sandwich",True,Controlled arithmetic,"8,2",,"1825,1841" +1401,1402,eight surfboards and a quarter as many cows,"surfboard, cow",True,Controlled arithmetic,"8,2",,"1830,1791" +1402,1403,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"3,6",,"1826,1844" +1403,1404,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"3,6",,"1763,1805" +1404,1405,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"3,6",,"1905,1893" +1405,1406,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"3,6",,"1715,1829" +1406,1407,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"3,6",,"1947,1727" +1407,1408,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"3,6",,"1787,1836" +1408,1409,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"3,6",,"1816,1808" +1409,1410,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"3,6",,"1739,1809" +1410,1411,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"3,6",,"1825,1841" +1411,1412,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"3,6",,"1830,1791" +1412,1413,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"6,12",,"1826,1844" +1413,1414,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"6,12",,"1763,1805" +1414,1415,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"6,12",,"1905,1893" +1415,1416,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"6,12",,"1715,1829" +1416,1417,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"6,12",,"1947,1727" +1417,1418,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"6,12",,"1787,1836" +1418,1419,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"6,12",,"1816,1808" +1419,1420,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"6,12",,"1739,1809" +1420,1421,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"6,12",,"1825,1841" +1421,1422,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"6,12",,"1830,1791" +1422,1423,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"2,6",,"1826,1844" +1423,1424,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"2,6",,"1763,1805" +1424,1425,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"2,6",,"1905,1893" +1425,1426,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"2,6",,"1715,1829" +1426,1427,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"2,6",,"1947,1727" +1427,1428,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"2,6",,"1787,1836" +1428,1429,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"2,6",,"1816,1808" +1429,1430,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"2,6",,"1739,1809" +1430,1431,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"2,6",,"1825,1841" +1431,1432,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"2,6",,"1830,1791" +1432,1433,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"4,12",,"1826,1844" +1433,1434,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"4,12",,"1763,1805" +1434,1435,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"4,12",,"1905,1893" +1435,1436,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"4,12",,"1715,1829" +1436,1437,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"4,12",,"1947,1727" +1437,1438,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"4,12",,"1787,1836" +1438,1439,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"4,12",,"1816,1808" +1439,1440,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"4,12",,"1739,1809" +1440,1441,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"4,12",,"1825,1841" +1441,1442,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"4,12",,"1830,1791" +1442,1443,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"2,8",,"1826,1844" +1443,1444,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"2,8",,"1763,1805" +1444,1445,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"2,8",,"1905,1893" +1445,1446,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"2,8",,"1715,1829" +1446,1447,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"2,8",,"1947,1727" +1447,1448,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"2,8",,"1787,1836" +1448,1449,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"2,8",,"1816,1808" +1449,1450,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"2,8",,"1739,1809" +1450,1451,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"2,8",,"1825,1841" +1451,1452,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"2,8",,"1830,1791" +1452,1453,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"6,3",,"1826,1844" +1453,1454,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"6,3",,"1763,1805" +1454,1455,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"6,3",,"1905,1893" +1455,1456,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"6,3",,"1715,1829" +1456,1457,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"6,3",,"1947,1727" +1457,1458,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"6,3",,"1787,1836" +1458,1459,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"6,3",,"1816,1808" +1459,1460,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"6,3",,"1739,1809" +1460,1461,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"6,3",,"1825,1841" +1461,1462,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"6,3",,"1830,1791" +1462,1463,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"12,6",,"1826,1844" +1463,1464,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"12,6",,"1763,1805" +1464,1465,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"12,6",,"1905,1893" +1465,1466,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"12,6",,"1715,1829" +1466,1467,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"12,6",,"1947,1727" +1467,1468,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"12,6",,"1787,1836" +1468,1469,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"12,6",,"1816,1808" +1469,1470,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"12,6",,"1739,1809" +1470,1471,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"12,6",,"1825,1841" +1471,1472,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"12,6",,"1830,1791" +1472,1473,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"6,2",,"1826,1844" +1473,1474,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"6,2",,"1763,1805" +1474,1475,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"6,2",,"1905,1893" +1475,1476,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"6,2",,"1715,1829" +1476,1477,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"6,2",,"1947,1727" +1477,1478,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"6,2",,"1787,1836" +1478,1479,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"6,2",,"1816,1808" +1479,1480,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"6,2",,"1739,1809" +1480,1481,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"6,2",,"1825,1841" +1481,1482,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"6,2",,"1830,1791" +1482,1483,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"12,4",,"1826,1844" +1483,1484,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"12,4",,"1763,1805" +1484,1485,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"12,4",,"1905,1893" +1485,1486,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"12,4",,"1715,1829" +1486,1487,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"12,4",,"1947,1727" +1487,1488,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"12,4",,"1787,1836" +1488,1489,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"12,4",,"1816,1808" +1489,1490,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"12,4",,"1739,1809" +1490,1491,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"12,4",,"1825,1841" +1491,1492,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"12,4",,"1830,1791" +1492,1493,three books and six backpacks,"book, backpack",True,Controlled multiple object counting,"8,2",,"1826,1844" +1493,1494,three spoons and six bowls,"spoon, bowl",True,Controlled multiple object counting,"8,2",,"1763,1805" +1494,1495,three hats and six shoes,"hat, shoe",True,Controlled multiple object counting,"8,2",,"1905,1893" +1495,1496,three toothbrushes and six donuts,"toothbrush, donut",True,Controlled multiple object counting,"8,2",,"1715,1829" +1496,1497,three oranges and six apples,"orange, apple",True,Controlled multiple object counting,"8,2",,"1947,1727" +1497,1498,three cups and six bottles,"cup, bottle",True,Controlled multiple object counting,"8,2",,"1787,1836" +1498,1499,three remotes and six carrots,"remote, carrot",True,Controlled multiple object counting,"8,2",,"1816,1808" +1499,1500,three birds and six umbrellas,"bird, umbrella",True,Controlled multiple object counting,"8,2",,"1739,1809" +1500,1501,three fire hydrants and six sandwiches,"fire hydrant, sandwich",True,Controlled multiple object counting,"8,2",,"1825,1841" +1501,1502,three surfboards and six cows,"surfboard, cow",True,Controlled multiple object counting,"8,2",,"1830,1791" +1502,1503,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1503,1504,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1504,1505,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1505,1506,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1506,1507,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1507,1508,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1508,1509,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1509,1510,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1510,1511,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1511,1512,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1512,1513,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1513,1514,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1514,1515,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1515,1516,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1516,1517,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1517,1518,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1518,1519,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1519,1520,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1520,1521,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1521,1522,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1522,1523,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1523,1524,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1524,1525,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1525,1526,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1526,1527,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1527,1528,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1528,1529,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1529,1530,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1530,1531,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1531,1532,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1532,1533,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1533,1534,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1534,1535,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1535,1536,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1536,1537,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1537,1538,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1538,1539,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1539,1540,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1540,1541,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1541,1542,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1542,1543,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1543,1544,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1544,1545,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1545,1546,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1546,1547,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1547,1548,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1548,1549,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1549,1550,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1550,1551,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1551,1552,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1552,1553,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1553,1554,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1554,1555,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1555,1556,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1556,1557,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1557,1558,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1558,1559,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1559,1560,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1560,1561,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1561,1562,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1562,1563,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1563,1564,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1564,1565,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1565,1566,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1566,1567,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1567,1568,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1568,1569,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1569,1570,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1570,1571,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1571,1572,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1572,1573,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1573,1574,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1574,1575,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1575,1576,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1576,1577,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1577,1578,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1578,1579,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1579,1580,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1580,1581,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1581,1582,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1582,1583,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1583,1584,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1584,1585,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1585,1586,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1586,1587,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1587,1588,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1588,1589,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1589,1590,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1590,1591,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1591,1592,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1592,1593,a book and a backpack,"book, backpack",True,Controlled multiple objects,,,"1826,1844" +1593,1594,a spoon and a bowl,"spoon, bowl",True,Controlled multiple objects,,,"1763,1805" +1594,1595,a hat and a shoe,"hat, shoe",True,Controlled multiple objects,,,"1905,1893" +1595,1596,a toothbrush and a donut,"toothbrush, donut",True,Controlled multiple objects,,,"1715,1829" +1596,1597,an orange and an apple,"orange, apple",True,Controlled multiple objects,,,"1947,1727" +1597,1598,a cup and a bottle,"cup, bottle",True,Controlled multiple objects,,,"1787,1836" +1598,1599,a remote and a carrot,"remote, carrot",True,Controlled multiple objects,,,"1816,1808" +1599,1600,a bird and an umbrella,"bird, umbrella",True,Controlled multiple objects,,,"1739,1809" +1600,1601,a fire hydrant and a sandwich,"fire hydrant, sandwich",True,Controlled multiple objects,,,"1825,1841" +1601,1602,a surfboard and a cow,"surfboard, cow",True,Controlled multiple objects,,,"1830,1791" +1602,1603,a book,book,True,Controlled single object,,, +1603,1604,a spoon,spoon,True,Controlled single object,,, +1604,1605,a hat,hat,True,Controlled single object,,, +1605,1606,a toothbrush,toothbrush,True,Controlled single object,,, +1606,1607,an orange,orange,True,Controlled single object,,, +1607,1608,a cup,cup,True,Controlled single object,,, +1608,1609,a remote,remote,True,Controlled single object,,, +1609,1610,a bird,bird,True,Controlled single object,,, +1610,1611,a fire hydrant,fire hydrant,True,Controlled single object,,, +1611,1612,a surfboard,surfboard,True,Controlled single object,,, +1612,1613,a book,book,True,Controlled single object,,, +1613,1614,a spoon,spoon,True,Controlled single object,,, +1614,1615,a hat,hat,True,Controlled single object,,, +1615,1616,a toothbrush,toothbrush,True,Controlled single object,,, +1616,1617,an orange,orange,True,Controlled single object,,, +1617,1618,a cup,cup,True,Controlled single object,,, +1618,1619,a remote,remote,True,Controlled single object,,, +1619,1620,a bird,bird,True,Controlled single object,,, +1620,1621,a fire hydrant,fire hydrant,True,Controlled single object,,, +1621,1622,a surfboard,surfboard,True,Controlled single object,,, +1622,1623,a book,book,True,Controlled single object,,, +1623,1624,a spoon,spoon,True,Controlled single object,,, +1624,1625,a hat,hat,True,Controlled single object,,, +1625,1626,a toothbrush,toothbrush,True,Controlled single object,,, +1626,1627,an orange,orange,True,Controlled single object,,, +1627,1628,a cup,cup,True,Controlled single object,,, +1628,1629,a remote,remote,True,Controlled single object,,, +1629,1630,a bird,bird,True,Controlled single object,,, +1630,1631,a fire hydrant,fire hydrant,True,Controlled single object,,, +1631,1632,a surfboard,surfboard,True,Controlled single object,,, +1632,1633,a book,book,True,Controlled single object,,, +1633,1634,a spoon,spoon,True,Controlled single object,,, +1634,1635,a hat,hat,True,Controlled single object,,, +1635,1636,a toothbrush,toothbrush,True,Controlled single object,,, +1636,1637,an orange,orange,True,Controlled single object,,, +1637,1638,a cup,cup,True,Controlled single object,,, +1638,1639,a remote,remote,True,Controlled single object,,, +1639,1640,a bird,bird,True,Controlled single object,,, +1640,1641,a fire hydrant,fire hydrant,True,Controlled single object,,, +1641,1642,a surfboard,surfboard,True,Controlled single object,,, +1642,1643,a book,book,True,Controlled single object,,, +1643,1644,a spoon,spoon,True,Controlled single object,,, +1644,1645,a hat,hat,True,Controlled single object,,, +1645,1646,a toothbrush,toothbrush,True,Controlled single object,,, +1646,1647,an orange,orange,True,Controlled single object,,, +1647,1648,a cup,cup,True,Controlled single object,,, +1648,1649,a remote,remote,True,Controlled single object,,, +1649,1650,a bird,bird,True,Controlled single object,,, +1650,1651,a fire hydrant,fire hydrant,True,Controlled single object,,, +1651,1652,a surfboard,surfboard,True,Controlled single object,,, +1652,1653,a backpack,backpack,True,Controlled single object,,, +1653,1654,a bowl,bowl,True,Controlled single object,,, +1654,1655,a shoe,shoe,True,Controlled single object,,, +1655,1656,a donut,donut,True,Controlled single object,,, +1656,1657,an apple,apple,True,Controlled single object,,, +1657,1658,a bottle,bottle,True,Controlled single object,,, +1658,1659,a carrot,carrot,True,Controlled single object,,, +1659,1660,an umbrella,umbrella,True,Controlled single object,,, +1660,1661,a sandwich,sandwich,True,Controlled single object,,, +1661,1662,a cow,cow,True,Controlled single object,,, +1662,1663,a backpack,backpack,True,Controlled single object,,, +1663,1664,a bowl,bowl,True,Controlled single object,,, +1664,1665,a shoe,shoe,True,Controlled single object,,, +1665,1666,a donut,donut,True,Controlled single object,,, +1666,1667,an apple,apple,True,Controlled single object,,, +1667,1668,a bottle,bottle,True,Controlled single object,,, +1668,1669,a carrot,carrot,True,Controlled single object,,, +1669,1670,an umbrella,umbrella,True,Controlled single object,,, +1670,1671,a sandwich,sandwich,True,Controlled single object,,, +1671,1672,a cow,cow,True,Controlled single object,,, +1672,1673,a backpack,backpack,True,Controlled single object,,, +1673,1674,a bowl,bowl,True,Controlled single object,,, +1674,1675,a shoe,shoe,True,Controlled single object,,, +1675,1676,a donut,donut,True,Controlled single object,,, +1676,1677,an apple,apple,True,Controlled single object,,, +1677,1678,a bottle,bottle,True,Controlled single object,,, +1678,1679,a carrot,carrot,True,Controlled single object,,, +1679,1680,an umbrella,umbrella,True,Controlled single object,,, +1680,1681,a sandwich,sandwich,True,Controlled single object,,, +1681,1682,a cow,cow,True,Controlled single object,,, +1682,1683,a backpack,backpack,True,Controlled single object,,, +1683,1684,a bowl,bowl,True,Controlled single object,,, +1684,1685,a shoe,shoe,True,Controlled single object,,, +1685,1686,a donut,donut,True,Controlled single object,,, +1686,1687,an apple,apple,True,Controlled single object,,, +1687,1688,a bottle,bottle,True,Controlled single object,,, +1688,1689,a carrot,carrot,True,Controlled single object,,, +1689,1690,an umbrella,umbrella,True,Controlled single object,,, +1690,1691,a sandwich,sandwich,True,Controlled single object,,, +1691,1692,a cow,cow,True,Controlled single object,,, +1692,1693,a backpack,backpack,True,Controlled single object,,, +1693,1694,a bowl,bowl,True,Controlled single object,,, +1694,1695,a shoe,shoe,True,Controlled single object,,, +1695,1696,a donut,donut,True,Controlled single object,,, +1696,1697,an apple,apple,True,Controlled single object,,, +1697,1698,a bottle,bottle,True,Controlled single object,,, +1698,1699,a carrot,carrot,True,Controlled single object,,, +1699,1700,an umbrella,umbrella,True,Controlled single object,,, +1700,1701,a sandwich,sandwich,True,Controlled single object,,, +1701,1702,a cow,cow,True,Controlled single object,,, +1702,1703,strawberry,strawberry,True,Single object,,, +1703,1704,blanket,blanket,True,Single object,,, +1704,1705,cabinet,cabinet,True,Single object,,, +1705,1706,carpet,carpet,True,Single object,,, +1706,1707,mug,mug,True,Single object,,, +1707,1708,building,building,True,Single object,,, +1708,1709,snowflake,snowflake,True,Single object,,, +1709,1710,ring,ring,True,Single object,,, +1710,1711,house,house,True,Single object,,, +1711,1712,jar,jar,True,Single object,,, +1712,1713,lamp,lamp,True,Single object,,, +1713,1714,flashlight,flashlight,True,Single object,,, +1714,1715,toothbrush,toothbrush,True,Single object,,, +1715,1716,boat,boat,True,Single object,,, +1716,1717,candy,candy,True,Single object,,, +1717,1718,pillow,pillow,True,Single object,,, +1718,1719,sky,sky,True,Single object,,, +1719,1720,dove,dove,True,Single object,,, +1720,1721,ocean,ocean,True,Single object,,, +1721,1722,star,star,True,Single object,,, +1722,1723,fish,fish,True,Single object,,, +1723,1724,whale,whale,True,Single object,,, +1724,1725,moon,moon,True,Single object,,, +1725,1726,sheep,sheep,True,Single object,,, +1726,1727,apple,apple,True,Single object,,, +1727,1728,car,car,True,Single object,,, +1728,1729,skyscraper,skyscraper,True,Single object,,, +1729,1730,lemon,lemon,True,Single object,,, +1730,1731,sword,sword,True,Single object,,, +1731,1732,violin,violin,True,Single object,,, +1732,1733,cloud,cloud,True,Single object,,, +1733,1734,ice cream,ice cream,True,Single object,,, +1734,1735,snowman,snowman,True,Single object,,, +1735,1736,anchovie,anchovie,True,Single object,,, +1736,1737,tree,tree,True,Single object,,, +1737,1738,knife,knife,True,Single object,,, +1738,1739,bird,bird,True,Single object,,, +1739,1740,elephant,elephant,True,Single object,,, +1740,1741,snake,snake,True,Single object,,, +1741,1742,kiwi,kiwi,True,Single object,,, +1742,1743,headphones,headphones,True,Single object,,, +1743,1744,tile,tile,True,Single object,,, +1744,1745,spider,spider,True,Single object,,, +1745,1746,owl,owl,True,Single object,,, +1746,1747,diamond,diamond,True,Single object,,, +1747,1748,dog,dog,True,Single object,,, +1748,1749,cat,cat,True,Single object,,, +1749,1750,light bulb,light bulb,True,Single object,,, +1750,1751,feather,feather,True,Single object,,, +1751,1752,ladder,ladder,True,Single object,,, +1752,1753,fir tree,fir tree,True,Single object,,, +1753,1754,stone,stone,True,Single object,,, +1754,1755,coin,coin,True,Single object,,, +1755,1756,t-shirt,t-shirt,True,Single object,,, +1756,1757,desk,desk,True,Single object,,, +1757,1758,gorilla,gorilla,True,Single object,,, +1758,1759,medal,medal,True,Single object,,, +1759,1760,mouse,mouse,True,Single object,,, +1760,1761,butterfly,butterfly,True,Single object,,, +1761,1762,brick,brick,True,Single object,,, +1762,1763,spoon,spoon,True,Single object,,, +1763,1764,dragon,dragon,True,Single object,,, +1764,1765,banana,banana,True,Single object,,, +1765,1766,balloon,balloon,True,Single object,,, +1766,1767,giraffe,giraffe,True,Single object,,, +1767,1768,swan,swan,True,Single object,,, +1768,1769,leaf,leaf,True,Single object,,, +1769,1770,mountain,mountain,True,Single object,,, +1770,1771,fork,fork,True,Single object,,, +1771,1772,treehouse,treehouse,True,Single object,,, +1772,1773,screwdriver,screwdriver,True,Single object,,, +1773,1774,pencil,pencil,True,Single object,,, +1774,1775,tennis ball,tennis ball,True,Single object,,, +1775,1776,helicopter,helicopter,True,Single object,,, +1776,1777,clock,clock,True,Single object,,, +1777,1778,shirt,shirt,True,Single object,,, +1778,1779,candle,candle,True,Single object,,, +1779,1780,crown,crown,True,Single object,,, +1780,1781,drum,drum,True,Single object,,, +1781,1782,bicycle,bicycle,True,Single object,,, +1782,1783,sculpture,sculpture,True,Single object,,, +1783,1784,phone,phone,True,Single object,,, +1784,1785,bus,bus,True,Single object,,, +1785,1786,scarf,scarf,True,Single object,,, +1786,1787,cup,cup,True,Single object,,, +1787,1788,belt,belt,True,Single object,,, +1788,1789,tablet,tablet,True,Single object,,, +1789,1790,cactus,cactus,True,Single object,,, +1790,1791,cow,cow,True,Single object,,, +1791,1792,hair drier,hair drier,True,Single object,,, +1792,1793,bear,bear,True,Single object,,, +1793,1794,cake,cake,True,Single object,,, +1794,1795,bench,bench,True,Single object,,, +1795,1796,chair,chair,True,Single object,,, +1796,1797,keyboard,keyboard,True,Single object,,, +1797,1798,kite,kite,True,Single object,,, +1798,1799,airplane,airplane,True,Single object,,, +1799,1800,cell phone,cell phone,True,Single object,,, +1800,1801,skateboard,skateboard,True,Single object,,, +1801,1802,teddy bear,teddy bear,True,Single object,,, +1802,1803,refrigerator,refrigerator,True,Single object,,, +1803,1804,baseball glove,baseball glove,True,Single object,,, +1804,1805,bowl,bowl,True,Single object,,, +1805,1806,zebra,zebra,True,Single object,,, +1806,1807,sink,sink,True,Single object,,, +1807,1808,carrot,carrot,True,Single object,,, +1808,1809,umbrella,umbrella,True,Single object,,, +1809,1810,stop sign,stop sign,True,Single object,,, +1810,1811,scissors,scissors,True,Single object,,, +1811,1812,microwave,microwave,True,Single object,,, +1812,1813,motorcycle,motorcycle,True,Single object,,, +1813,1814,train,train,True,Single object,,, +1814,1815,couch,couch,True,Single object,,, +1815,1816,remote,remote,True,Single object,,, +1816,1817,snowboard,snowboard,True,Single object,,, +1817,1818,hot dog,hot dog,True,Single object,,, +1818,1819,handbag,handbag,True,Single object,,, +1819,1820,truck,truck,True,Single object,,, +1820,1821,mice,mice,True,Single object,,, +1821,1822,dining table,dining table,True,Single object,,, +1822,1823,toilet,toilet,True,Single object,,, +1823,1824,sports ball,sports ball,True,Single object,,, +1824,1825,fire hydrant,fire hydrant,True,Single object,,, +1825,1826,book,book,True,Single object,,, +1826,1827,suitcase,suitcase,True,Single object,,, +1827,1828,frisbee,frisbee,True,Single object,,, +1828,1829,donut,donut,True,Single object,,, +1829,1830,surfboard,surfboard,True,Single object,,, +1830,1831,broccoli,broccoli,True,Single object,,, +1831,1832,pizza,pizza,True,Single object,,, +1832,1833,potted plant,potted plant,True,Single object,,, +1833,1834,wine glass,wine glass,True,Single object,,, +1834,1835,tie,tie,True,Single object,,, +1835,1836,bottle,bottle,True,Single object,,, +1836,1837,laptop,laptop,True,Single object,,, +1837,1838,toaster,toaster,True,Single object,,, +1838,1839,parking meter,parking meter,True,Single object,,, +1839,1840,bed,bed,True,Single object,,, +1840,1841,sandwich,sandwich,True,Single object,,, +1841,1842,tennis racket,tennis racket,True,Single object,,, +1842,1843,traffic light,traffic light,True,Single object,,, +1843,1844,backpack,backpack,True,Single object,,, +1844,1845,vase,vase,True,Single object,,, +1845,1846,kitchen,kitchen,True,Single object,,, +1846,1847,bedroom,bedroom,True,Single object,,, +1847,1848,desert,desert,True,Single object,,, +1848,1849,garden,garden,True,Single object,,, +1849,1850,room,room,True,Single object,,, +1850,1851,cave,cave,True,Single object,,, +1851,1852,city,city,True,Single object,,, +1852,1853,street,street,True,Single object,,, +1853,1854,table,table,True,Single object,,, +1854,1855,lake,lake,True,Single object,,, +1855,1856,stadium,stadium,True,Single object,,, +1856,1857,field,field,True,Single object,,, +1857,1858,beach,beach,True,Single object,,, +1858,1859,fireplace,fireplace,True,Single object,,, +1859,1860,backyard,backyard,True,Single object,,, +1860,1861,cityscape,cityscape,True,Single object,,, +1861,1862,park,park,True,Single object,,, +1862,1863,hallway,hallway,True,Single object,,, +1863,1864,coast,coast,True,Single object,,, +1864,1865,door,door,True,Single object,,, +1865,1866,crowd,crowd,True,Single object,,, +1866,1867,barn,barn,True,Single object,,, +1867,1868,river,river,True,Single object,,, +1868,1869,road,road,True,Single object,,, +1869,1870,office,office,True,Single object,,, +1870,1871,bookshelf,bookshelf,True,Single object,,, +1871,1872,school,school,True,Single object,,, +1872,1873,lawn,lawn,True,Single object,,, +1873,1874,cloudy sky,cloudy sky,True,Single object,,, +1874,1875,meadow,meadow,True,Single object,,, +1875,1876,tent,tent,True,Single object,,, +1876,1877,bathroom,bathroom,True,Single object,,, +1877,1878,plate,plate,True,Single object,,, +1878,1879,yard,yard,True,Single object,,, +1879,1880,living room,living room,True,Single object,,, +1880,1881,window,window,True,Single object,,, +1881,1882,forest,forest,True,Single object,,, +1882,1883,concert,concert,True,Single object,,, +1883,1884,pond,pond,True,Single object,,, +1884,1885,sunset,sunset,True,Single object,,, +1885,1886,parking lot,parking lot,True,Single object,,, +1886,1887,store,store,True,Single object,,, +1887,1888,flower,flower,True,Single object,,, +1888,1889,shopping mall,shopping mall,True,Single object,,, +1889,1890,restaurant,restaurant,True,Single object,,, +1890,1891,dining room,dining room,True,Single object,,, +1891,1892,church,church,True,Single object,,, +1892,1893,shoe,shoe,True,Single object,,, +1893,1894,swimming pool,swimming pool,True,Single object,,, +1894,1895,classroom,classroom,True,Single object,,, +1895,1896,train station,train station,True,Single object,,, +1896,1897,goat,goat,True,Single object,,, +1897,1898,bag,bag,True,Single object,,, +1898,1899,albatross,albatross,True,Single object,,, +1899,1900,water bottle,water bottle,True,Single object,,, +1900,1901,beaver,beaver,True,Single object,,, +1901,1902,pen,pen,True,Single object,,, +1902,1903,skunk,skunk,True,Single object,,, +1903,1904,wallaby,wallaby,True,Single object,,, +1904,1905,hat,hat,True,Single object,,, +1905,1906,watch,watch,True,Single object,,, +1906,1907,seagull,seagull,True,Single object,,, +1907,1908,wombat,wombat,True,Single object,,, +1908,1909,pig,pig,True,Single object,,, +1909,1910,guitar,guitar,True,Single object,,, +1910,1911,chipmunk,chipmunk,True,Single object,,, +1911,1912,lamb,lamb,True,Single object,,, +1912,1913,ferret,ferret,True,Single object,,, +1913,1914,parrot,parrot,True,Single object,,, +1914,1915,deer,deer,True,Single object,,, +1915,1916,elk,elk,True,Single object,,, +1916,1917,vulture,vulture,True,Single object,,, +1917,1918,doll,doll,True,Single object,,, +1918,1919,penguin,penguin,True,Single object,,, +1919,1920,ball of yarn,ball of yarn,True,Single object,,, +1920,1921,moose,moose,True,Single object,,, +1921,1922,sea lion,sea lion,True,Single object,,, +1922,1923,falcon,falcon,True,Single object,,, +1923,1924,weasel,weasel,True,Single object,,, +1924,1925,seal,seal,True,Single object,,, +1925,1926,wolf,wolf,True,Single object,,, +1926,1927,otter,otter,True,Single object,,, +1927,1928,raccoon,raccoon,True,Single object,,, +1928,1929,condor,condor,True,Single object,,, +1929,1930,eagle,eagle,True,Single object,,, +1930,1931,crow,crow,True,Single object,,, +1931,1932,squirrel,squirrel,True,Single object,,, +1932,1933,goose,goose,True,Single object,,, +1933,1934,hedgehog,hedgehog,True,Single object,,, +1934,1935,pigeon,pigeon,True,Single object,,, +1935,1936,kangaroo,kangaroo,True,Single object,,, +1936,1937,peacock,peacock,True,Single object,,, +1937,1938,turkey,turkey,True,Single object,,, +1938,1939,fox,fox,True,Single object,,, +1939,1940,chicken,chicken,True,Single object,,, +1940,1941,cockatoo,cockatoo,True,Single object,,, +1941,1942,hare,hare,True,Single object,,, +1942,1943,hawk,hawk,True,Single object,,, +1943,1944,mink,mink,True,Single object,,, +1944,1945,flamingo,flamingo,True,Single object,,, +1945,1946,duck,duck,True,Single object,,, +1946,1947,orange,orange,True,Single object,,, +1947,1948,person,person,True,Single object,,, +1948,1949,tv,tv,True,Single object,,, +1949,1950,horse,horse,True,Single object,,, +1950,1951,baseball bat,baseball bat,True,Single object,,, +1951,1952,crocodile,crocodile,True,Single object,,, +1952,1953,watering can,watering can,True,Single object,,, +1953,1954,rabbit,rabbit,True,Single object,,, +1954,1955,dolphin,dolphin,True,Single object,,, +1955,1956,remote control,remote control,True,Single object,,, +1956,1957,turtle,turtle,True,Single object,,, +1957,1958,tutu,tutu,True,Single object,,, +1958,1959,telescope,telescope,True,Single object,,, +1959,1960,panda,panda,True,Single object,,, +1960,1961,slice of pizza,slice of pizza,True,Single object,,, +1961,1962,roller coaster,roller coaster,True,Single object,,, +1962,1963,salad,salad,True,Single object,,, +1963,1964,soccer,soccer,True,Single object,,, +1964,1965,cockroach,cockroach,True,Single object,,, +1965,1966,spray bottle,spray bottle,True,Single object,,, +1966,1967,hippo,hippo,True,Single object,,, +1967,1968,ballerina,ballerina,True,Single object,,, +1968,1969,hockey,hockey,True,Single object,,, +1969,1970,saw,saw,True,Single object,,, +1970,1971,piano,piano,True,Single object,,, +1971,1972,smartphone,smartphone,True,Single object,,, +1972,1973,computer,computer,True,Single object,,, +1973,1974,baseball,baseball,True,Single object,,, +1974,1975,lion,lion,True,Single object,,, +1975,1976,cucumber,cucumber,True,Single object,,, +1976,1977,trampoline,trampoline,True,Single object,,, +1977,1978,scooter,scooter,True,Single object,,, +1978,1979,tiger,tiger,True,Single object,,, +1979,1980,picture,picture,True,Single object,,, +1980,1981,tomato,tomato,True,Single object,,, +1981,1982,tennis,tennis,True,Single object,,, +1982,1983,goblin,goblin,True,Single object,,, +1983,1984,hamster,hamster,True,Single object,,, +1984,1985,astronaut,astronaut,True,Single object,,, +1985,1986,monkey,monkey,True,Single object,,, +1986,1987,stapler,stapler,True,Single object,,, +1987,1988,burrito,burrito,True,Single object,,, +1988,1989,television,television,True,Single object,,, +1989,1990,fly,fly,True,Single object,,, +1990,1991,frog,frog,True,Single object,,, +1991,1992,boy,boy,True,Single object,,, +1992,1993,soccer ball,soccer ball,True,Single object,,, +1993,1994,man,man,True,Single object,,, +1994,1995,orchestra,orchestra,True,Single object,,, +1995,1996,unicycle ,unicycle ,True,Single object,,, +1996,1997,tractor,tractor,True,Single object,,, +1997,1998,princess,princess,True,Single object,,, +1998,1999,teapot,teapot,True,Single object,,, +1999,2000,calculator,calculator,True,Single object,,, +2000,2001,hammer,hammer,True,Single object,,, +2001,2002,brush,brush,True,Single object,,, +2002,2003,disco ball,disco ball,True,Single object,,, +2003,2004,dachshund,dachshund,True,Single object,,, +2004,2005,plane,plane,True,Single object,,, +2005,2006,microscope,microscope,True,Single object,,, +2006,2007,nail,nail,True,Single object,,, +2007,2008,bowl of ice cream,bowl of ice cream,True,Single object,,, +2008,2009,ketchup bottle,ketchup bottle,True,Single object,,, +2009,2010,diploma,diploma,True,Single object,,, +2010,2011,student,student,True,Single object,,, +2011,2012,bike,bike,True,Single object,,, +2012,2013,ship,ship,True,Single object,,, +2013,2014,dollar bill,dollar bill,True,Single object,,, +2014,2015,whisk,whisk,True,Single object,,, +2015,2016,trash can,trash can,True,Single object,,, +2016,2017,beer,beer,True,Single object,,, +2017,2018,puppy,puppy,True,Single object,,, +2018,2019,lizard,lizard,True,Single object,,, +2019,2020,sofa,sofa,True,Single object,,, +2020,2021,bush,bush,True,Single object,,, +2021,2022,plant,plant,True,Single object,,, +2022,2023,pirate,pirate,True,Single object,,, +2023,2024,cage,cage,True,Single object,,, +2024,2025,girl,girl,True,Single object,,, +2025,2026,officer,officer,True,Single object,,, +2026,2027,wall,wall,True,Single object,,, +2027,2028,cookie,cookie,True,Single object,,, +2028,2029,wolf walrus,wolf walrus,True,Single object,,, +2029,2030,coyote,coyote,True,Single object,,, +2030,2031,polar bear,polar bear,True,Single object,,, +2031,2032,ram,ram,True,Single object,,, +2032,2033,stag,stag,True,Single object,,, +2033,2034,walrus,walrus,True,Single object,,, +2034,2035,opossum,opossum,True,Single object,,, +2035,2036,leopard,leopard,True,Single object,,, +2036,2037,hippopotamus,hippopotamus,True,Single object,,, +2037,2038,rhinoceros,rhinoceros,True,Single object,,, +2038,2039,pegasus,pegasus,True,Single object,,, +2039,2040,hyena,hyena,True,Single object,,, +2040,2041,chimpanzee,chimpanzee,True,Single object,,, +2041,2042,bat,bat,True,Single object,,, +2042,2043,scorpion,scorpion,True,Single object,,, +2043,2044,bird of prey,bird of prey,True,Single object,,, +2044,2045,koala,koala,True,Single object,,, +2045,2046,shark,shark,True,Single object,,, +2046,2047,boar,boar,True,Single object,,, +2047,2048,oven,oven,True,Single object,,, +2048,2049,billboard,billboard,True,Single object,,, +2049,2050,menu,menu,True,Single object,,, +2050,2051,newspaper,newspaper,True,Single object,,, +2051,2052,map,map,True,Single object,,, +2052,2053,store window,store window,True,Single object,,, +2053,2054,poster,poster,True,Single object,,, +2054,2055,receipt,receipt,True,Single object,,, +2055,2056,business card,business card,True,Single object,,, +2056,2057,notebook,notebook,True,Single object,,, +2057,2058,restaurant menu,restaurant menu,True,Single object,,, +2058,2059,contract,contract,True,Single object,,, +2059,2060,champagne bottle,champagne bottle,True,Single object,,, +2060,2061,perfume bottle,perfume bottle,True,Single object,,, +2061,2062,ticket,ticket,True,Single object,,, +2062,2063,license plate,license plate,True,Single object,,, +2063,2064,postcard,postcard,True,Single object,,, +2064,2065,ticket stub,ticket stub,True,Single object,,, +2065,2066,wine bottle,wine bottle,True,Single object,,, +2066,2067,envelope,envelope,True,Single object,,, +2067,2068,skis,skis,True,Single object,,, +2068,2069,female chef,female chef,True,Single object,,, +2069,2070,female doctor,female doctor,True,Single object,,, +2070,2071,female firefighter,female firefighter,True,Single object,,, +2071,2072,female police officer,female police officer,True,Single object,,, +2072,2073,male chef,male chef,True,Single object,,, +2073,2074,male doctor,male doctor,True,Single object,,, +2074,2075,male firefighter,male firefighter,True,Single object,,, +2075,2076,male police officer,male police officer,True,Single object,,, +2076,2077,conditioner,conditioner,True,Single object,,, +2077,2078,doorknob,doorknob,True,Single object,,, +2078,2079,juicer,juicer,True,Single object,,, +2079,2080,chalk,chalk,True,Single object,,, +2080,2081,pan,pan,True,Single object,,, +2081,2082,cheese,cheese,True,Single object,,, +2082,2083,hair,hair,True,Single object,,, +2083,2084,basketball,basketball,True,Single object,,, +2084,2085,salamander,salamander,True,Single object,,, +2085,2086,celery,celery,True,Single object,,, +2086,2087,lemur,lemur,True,Single object,,, +2087,2088,screw,screw,True,Single object,,, +2088,2089,kettle,kettle,True,Single object,,, +2089,2090,starfish,starfish,True,Single object,,, +2090,2091,heater,heater,True,Single object,,, +2091,2092,sea sponge,sea sponge,True,Single object,,, +2092,2093,gazelle,gazelle,True,Single object,,, +2093,2094,football,football,True,Single object,,, +2094,2095,towel,towel,True,Single object,,, +2095,2096,shampoo,shampoo,True,Single object,,, +2096,2097,glue,glue,True,Single object,,, +2097,2098,cello,cello,True,Single object,,, +2098,2099,onion,onion,True,Single object,,, +2099,2100,fridge,fridge,True,Single object,,, +2100,2101,glasses,glasses,True,Single object,,, +2101,2102,needle,needle,True,Single object,,, +2102,2103,yarn,yarn,True,Single object,,, +2103,2104,salmon,salmon,True,Single object,,, +2104,2105,microphone,microphone,True,Single object,,, +2105,2106,ice,ice,True,Single object,,, +2106,2107,garbage,garbage,True,Single object,,, +2107,2108,rope,rope,True,Single object,,, +2108,2109,lettuce,lettuce,True,Single object,,, +2109,2110,drill,drill,True,Single object,,, +2110,2111,shelf,shelf,True,Single object,,, +2111,2112,trousers,trousers,True,Single object,,, +2112,2113,barbecue,barbecue,True,Single object,,, +2113,2114,dryer,dryer,True,Single object,,, +2114,2115,iron,iron,True,Single object,,, +2115,2116,sweater,sweater,True,Single object,,, +2116,2117,broom,broom,True,Single object,,, +2117,2118,vacuum,vacuum,True,Single object,,, +2118,2119,bin,bin,True,Single object,,, +2119,2120,pheasant,pheasant,True,Single object,,, +2120,2121,grape,grape,True,Single object,,, +2121,2122,nut,nut,True,Single object,,, +2122,2123,cutting board,cutting board,True,Single object,,, +2123,2124,soil,soil,True,Single object,,, +2124,2125,pot,pot,True,Single object,,, +2125,2126,spathetti,spathetti,True,Single object,,, +2126,2127,oil,oil,True,Single object,,, +2127,2128,shovel,shovel,True,Single object,,, +2128,2129,glove,glove,True,Single object,,, +2129,2130,cable,cable,True,Single object,,, +2130,2131,key,key,True,Single object,,, +2131,2132,card,card,True,Single object,,, +2132,2133,ink,ink,True,Single object,,, +2133,2134,buzzard,buzzard,True,Single object,,, +2134,2135,grapefruit,grapefruit,True,Single object,,, +2135,2136,mattress,mattress,True,Single object,,, +2136,2137,helmet,helmet,True,Single object,,, +2137,2138,lock,lock,True,Single object,,, +2138,2139,trombone,trombone,True,Single object,,, +2139,2140,chili,chili,True,Single object,,, +2140,2141,printer,printer,True,Single object,,, +2141,2142,basket,basket,True,Single object,,, +2142,2143,loudspeaker,loudspeaker,True,Single object,,, +2143,2144,gecko,gecko,True,Single object,,, +2144,2145,ostrich,ostrich,True,Single object,,, +2145,2146,badger,badger,True,Single object,,, +2146,2147,jacket,jacket,True,Single object,,, +2147,2148,ipod,ipod,True,Single object,,, +2148,2149,earphones,earphones,True,Single object,,, +2149,2150,chocolate,chocolate,True,Single object,,, +2150,2151,tea,tea,True,Single object,,, +2151,2152,cupcake,cupcake,True,Single object,,, +2152,2153,coffee,coffee,True,Single object,,, +2153,2154,tub,tub,True,Single object,,, +2154,2155,fan,fan,True,Single object,,, +2155,2156,donkey,donkey,True,Single object,,, +2156,2157,shower,shower,True,Single object,,, +2157,2158,screen,screen,True,Single object,,, +2158,2159,ball,ball,True,Single object,,, +2159,2160,shrimp,shrimp,True,Single object,,, +2160,2161,flour,flour,True,Single object,,, +2161,2162,washing machine,washing machine,True,Single object,,, +2162,2163,sock,sock,True,Single object,,, +2163,2164,toucan,toucan,True,Single object,,, +2164,2165,juice,juice,True,Single object,,, +2165,2166,magazine,magazine,True,Single object,,, +2166,2167,soap,soap,True,Single object,,, +2167,2168,cloth,cloth,True,Single object,,, +2168,2169,bucket,bucket,True,Single object,,, +2169,2170,guinea pig,guinea pig,True,Single object,,, +2170,2171,wood,wood,True,Single object,,, +2171,2172,axe,axe,True,Single object,,, +2172,2173,laundry basket,laundry basket,True,Single object,,, +2173,2174,alligator,alligator,True,Single object,,, +2174,2175,purse,purse,True,Single object,,, +2175,2176,ham,ham,True,Single object,,, +2176,2177,milk,milk,True,Single object,,, +2177,2178,sandals,sandals,True,Single object,,, +2178,2179,chainsaw,chainsaw,True,Single object,,, +2179,2180,toothpaste,toothpaste,True,Single object,,, +2180,2181,present,present,True,Single object,,, +2181,2182,noodle,noodle,True,Single object,,, +2182,2183,deodorant,deodorant,True,Single object,,, +2183,2184,buffalo,buffalo,True,Single object,,, +2184,2185,glassware,glassware,True,Single object,,, +2185,2186,can opener,can opener,True,Single object,,, +2186,2187,dollar,dollar,True,Single object,,, +2187,2188,box,box,True,Single object,,, +2188,2189,flute,flute,True,Single object,,, +2189,2190,trumpet,trumpet,True,Single object,,, +2190,2191,raspberry,raspberry,True,Single object,,, +2191,2192,lighter,lighter,True,Single object,,, +2192,2193,meatball,meatball,True,Single object,,, +2193,2194,sunscreen,sunscreen,True,Single object,,, +2194,2195,grater,grater,True,Single object,,, +2195,2196,sunglasses,sunglasses,True,Single object,,, +2196,2197,jellyfish,jellyfish,True,Single object,,, +2197,2198,rollerblade,rollerblade,True,Single object,,, +2198,2199,hose,hose,True,Single object,,, +2199,2200,panther,panther,True,Single object,,, +2200,2201,macaroni,macaroni,True,Single object,,, +2201,2202,tape,tape,True,Single object,,, +2202,2203,chewing gum,chewing gum,True,Single object,,, +2203,2204,paper clip,paper clip,True,Single object,,, diff --git "a/pages/1_\342\232\231\357\270\217Manual assessment.py" "b/pages/1_\342\232\231\357\270\217Manual assessment.py" index 9ec4f10bc52fa3c72a766a051e9f267ec7886ee8..1a224d6bc303535f4747daf55b963a5e80e4455c 100644 --- "a/pages/1_\342\232\231\357\270\217Manual assessment.py" +++ "b/pages/1_\342\232\231\357\270\217Manual assessment.py" @@ -2,18 +2,20 @@ import streamlit as st import numpy as np import pandas as pd from PIL import Image -from pages.Functions.Dashboard_functions import add_previous_manual_assessments, delete_last_manual_rating - +from pages.Functions.Dashboard_functions import add_previous_manual_assessments, delete_last_manual_rating, if_true_rerun, radio_rating_index_translation, set_eval_df_rating_vals, collect_linked_prompt_ratings +from Dashboard_setup import sidebar_information, dashboard_version_code st.title('Manual assessment') st.write('On this page you can rate all uploaded images with regards to how good they match their respective prompts. You can see the outcome of your assessment on the summary page.') st.write(' ') -side_image = Image.open('Graphics/IL_Logo.png') -st.sidebar.image(side_image) +sidebar_information() # Create placeholders for key elements assessment_header = st.empty() +include_subprompts_checkbox = st.empty() assessment_progress = st.empty() +assessment_progress_bar = st.empty() +###### Setup of variables ############################ # Extract how many images are available for manual assessment in entire uploaded dataset ## Set to zero if the dataset has not been created yet due to starting the app on an assessment page manual_eval_available = 0 @@ -21,6 +23,7 @@ try: curr_eval_df = st.session_state['eval_df'] curr_eval_df['Picture_index']=curr_eval_df.index.values curr_manual_eval = curr_eval_df.loc[(curr_eval_df['manual_eval']==True)&(curr_eval_df['manual_eval_completed']==False)] + curr_manual_eval_max = len(curr_eval_df.loc[(curr_eval_df['manual_eval']==True)]) manual_eval_available = len(curr_manual_eval) curr_prompt_dir = st.session_state['prompt_dir'] except KeyError: @@ -36,18 +39,18 @@ except IndexError: pass -# Main rating loop +###### Rating loop ############################ ## If images are available for rating this creates a from to submit ratings to database ## If subprompt option is selected, it expands the form to include these as well ## If no images are available it prints situation specific instructions if manual_eval_available > 0: assessment_header.subheader('Assess uploaded images') # Let user choose whether subprompts should be presented - include_subprompts = st.checkbox('Show related subprompts if available (uploaded subprompts may not be shown if images have been assessed already).', value=True) + include_subprompts = include_subprompts_checkbox.checkbox('Show related subprompts if available (uploaded subprompts may not be shown if images have been assessed already).', value=True) - # Update the progress statement + # Update the progress statement / bar assessment_progress.write('{0} images ready / left for assessment.'.format(manual_eval_available)) - + assessment_progress_bar.progress(1-manual_eval_available/curr_manual_eval_max) # Extract first example for manual assessment which is not rated yet (first meaning the lowest index, for lowest prompt number) ## Also extract relevant metadata of this example @@ -83,41 +86,25 @@ if manual_eval_available > 0: curr_prompt_dir.loc[curr_prompt_dir['ID']==int(curr_manual_eval_row.Prompt_no.item())]['Prompt'].item() )) # Exclude prompt from rating if user chooses to - include_prompt = st.checkbox('Include this prompt in assessment summary', value=True) - + exclude_prompt = st.checkbox('Exclude this prompt from manual assessment', value=False) + include_prompt = not exclude_prompt + # Show image of current prompt and rating st.image(st.session_state['uploaded_img'][curr_manual_eval_row.Picture_index.item()],width=350) + + # Preselected radio option + radio_preselect = radio_rating_index_translation(curr_manual_eval_row.manual_eval_task_score.item()) + + # Create rating element for main prompt curr_manual_eval_row['manual_eval_task_score'] = st.radio( - "Does the image match the prompt?",('Yes', 'No'), horizontal=True, key='base') + "Does the image match the prompt?",('Yes', 'No'), horizontal=True, key='base', index=radio_preselect) st.write(' ') # Create whitespace st.write(' ') # Create whitespace - # If there are linked prompts, create df with info - # Else create emtpy df which will automatically skip the rating creation for these prompts - # Here we do not test for (curr_eval_df['manual_eval']==True) as the curr_linked_prompts is already testing for valid prompt number and we want to ignore the exclusion for subprompts - if type(curr_linked_prompts)==list: - curr_linked_rows = curr_eval_df.loc[ - (curr_eval_df['manual_eval_completed']==False)& - (curr_eval_df['Prompt_no'].isin(curr_linked_prompts))] - curr_linked_rows = curr_linked_rows.groupby('Prompt_no').first() - else: - curr_linked_rows = pd.DataFrame() - - # Create rating for subprompts if a df for subprompt info was created - for row in curr_linked_rows.itertuples(): - # Prompt - st.write('Prompt: {0}'.format( - curr_prompt_dir.loc[curr_prompt_dir['ID']==int(row.Index)]['Prompt'].item() - )) - # Image - st.image(st.session_state['uploaded_img'][row.Picture_index],width=350) - # Rating - curr_linked_rows.loc[curr_linked_rows['Picture_index']==row.Picture_index,'manual_eval_task_score'] = st.radio( - "Does the image match the prompt?",('Yes', 'No'), horizontal=True, key=row.Picture_index) - st.write(' ') - st.write(' ') - + # Create elements to collect ratings on linked prompts + # This only happens if the current prompt has linked prompts and the user choose to show linked prompts + curr_linked_rows = collect_linked_prompt_ratings(curr_linked_prompts, curr_eval_df, curr_prompt_dir) # Submit assessments to database submitted = st.form_submit_button("Submit") @@ -126,12 +113,13 @@ if manual_eval_available > 0: temp_picture_index_list = [] # First add main prompt assessment - st.session_state['eval_df'].loc[ - curr_picture_index,'manual_eval']=include_prompt - st.session_state['eval_df'].loc[ - curr_picture_index,'manual_eval_completed']=True - st.session_state['eval_df'].loc[ - curr_picture_index,'manual_eval_task_score']=curr_manual_eval_row['manual_eval_task_score'].item() + st.session_state['eval_df'] = set_eval_df_rating_vals( + st.session_state['eval_df'], + picture_index=curr_picture_index, + manual_eval=include_prompt, + manual_eval_completed=True, + manual_eval_task_score=curr_manual_eval_row['manual_eval_task_score'].item() + ) # Add picture index to temp list temp_picture_index_list.append(curr_picture_index) @@ -139,27 +127,32 @@ if manual_eval_available > 0: # Add subprompt assessment if dataset was created for subprompts # This stage will automatically be skipped if the df for linked prompts is empty for row in curr_linked_rows.itertuples(): - st.session_state['eval_df'].loc[ - row.Picture_index,'manual_eval']=include_prompt - st.session_state['eval_df'].loc[ - row.Picture_index,'manual_eval_completed']=True - st.session_state['eval_df'].loc[ - row.Picture_index,'manual_eval_task_score']=row.manual_eval_task_score - + st.session_state['eval_df'] = set_eval_df_rating_vals( + st.session_state['eval_df'], + picture_index=row.Picture_index, + manual_eval=include_prompt, + manual_eval_completed=True, + manual_eval_task_score=row.manual_eval_task_score + ) + # Add picture index to temp list temp_picture_index_list.append(row.Picture_index) - # Add temp list of picture indices to rating history - st.session_state['manual_rating_history'].append(temp_picture_index_list) + # Add temp list of picture indices to rating history, if prompt is not excluded + if include_prompt: + st.session_state['manual_rating_history'].append(temp_picture_index_list) # Reset page after ratings were submitted st.experimental_rerun() - # Return to last rated image - delete_last_manual_rating() + # Allow user to return to last manual rating + st.session_state['manual_rating_history'],st.session_state['eval_df'], bool_rating_deleted = delete_last_manual_rating( + st.session_state['manual_rating_history'],st.session_state['eval_df']) + if_true_rerun(bool_rating_deleted) - # Add option to add previous manual assessments - add_previous_manual_assessments() + # Allow user to upload past ratings and add them to eval_df + st.session_state['eval_df'], bool_ratings_uploaded = add_previous_manual_assessments(st.session_state['eval_df'],dashboard_version_code=dashboard_version_code) + if_true_rerun(bool_ratings_uploaded) # If no files are uploaded elif len(st.session_state['uploaded_img'])==0: @@ -167,6 +160,8 @@ elif len(st.session_state['uploaded_img'])==0: # If files are uploaded but all ratings are completed else: assessment_progress.write('You finished assessing the current batch of uploaded images. Upload more pictures of generate your results on the summary page.') - # Add option to return to last manual rating - delete_last_manual_rating() + # Allow user to return to last manual rating + st.session_state['manual_rating_history'],st.session_state['eval_df'], bool_rating_deleted = delete_last_manual_rating( + st.session_state['manual_rating_history'],st.session_state['eval_df']) + if_true_rerun(bool_rating_deleted) diff --git "a/pages/2_\360\237\244\226Automated assessment.py" "b/pages/2_\360\237\244\226Automated assessment.py" index f3db3e712b290f72a827f6e543800b51b6da798e..26881feaabd7f584d423d04b33b8e03ffc58193d 100644 --- "a/pages/2_\360\237\244\226Automated assessment.py" +++ "b/pages/2_\360\237\244\226Automated assessment.py" @@ -2,13 +2,15 @@ import streamlit as st import numpy as np from itertools import compress from PIL import Image +from Dashboard_setup import sidebar_information +sidebar_information() # Move this up to be displayed before the evaluation functions are loaded from Dashboard_automation_setup import fun_dict st.title('Automated Assessment') st.write('On this page you can use automated assessment algorithms to assess how good uploaded images match their respective prompts.') st.write(' ') -st.sidebar.image('Graphics/IL_Logo.png') +###### Setup of variables ############################ try: # Create necessary variables prompt_dir = st.session_state['prompt_dir'] @@ -29,6 +31,7 @@ except KeyError: automated_eval_available = 0 +###### Rating loop ############################ # If images for assessment available: create form to start assessment # Else: Note to upload images for assessment if automated_eval_available > 0: @@ -56,14 +59,23 @@ if automated_eval_available > 0: # Create list for tasks which were selected for assessment selected_tasks = list(compress(task_list,task_list_selected)) - # Create dataset to loop over with assessment assessed_df = curr_eval_df.loc[ (curr_eval_df['automated_eval']==True)& (curr_eval_df['Task'].isin(selected_tasks))] results_column = [] + # Add counter for progress bars + num_automated_rows = len(assessed_df) + i_num_row = 0 + i_progress_increase = 1/num_automated_rows + st.write('Progress of automatic evaluation:') + auto_assessment_progress = st.progress(0) + for row in assessed_df.itertuples(): + i_num_row +=1 + auto_assessment_progress.progress(0+i_num_row*i_progress_increase) + # Apply task based classifier and safe in list temp_image = Image.open(st.session_state['uploaded_img'][row.Picture_index]) temp_result = fun_dict[row.Task]( @@ -72,6 +84,6 @@ if automated_eval_available > 0: assessed_df['Score']=results_column st.session_state['auto_eval_df']=assessed_df[['File_name','Prompt_no','Picture_index','Task','Score']] - st.write('Completed assessment. Access results on the summary page.') + st.write('Assessment completed. You can access the results on the summary page. Running a new automated assessment will override past results.') else: st.write('Upload files on dashboard starting page to start automated assessment.') diff --git "a/pages/3_\360\237\223\212Assessment summary.py" "b/pages/3_\360\237\223\212Assessment summary.py" index 28601adc74ba344f1baa98f312989a64bc77c5bf..3f0864664d5dccbae0eb7c9cdab24e9889c32ff4 100644 --- "a/pages/3_\360\237\223\212Assessment summary.py" +++ "b/pages/3_\360\237\223\212Assessment summary.py" @@ -4,22 +4,28 @@ import seaborn as sns import matplotlib.pyplot as plt from PIL import Image from pages.Functions.Dashboard_functions import pre_assessment_visualisation, multi_comparison_plotI, print_results_tabs -side_image = Image.open('Graphics/IL_Logo.png') -st.sidebar.image(side_image) +from Dashboard_setup import sidebar_information, dashboard_version_code +sidebar_information() -@st.cache -def convert_df_to_csv(df): - # IMPORTANT: Cache the conversion to prevent computation on every rerun - return df[['File_name','Prompt_no','Task','Score']].to_csv().encode('utf-8') +#@st.cache +#def convert_df_to_csv(df): +# IMPORTANT: Cache the conversion to prevent computation on every rerun +# return df[['File_name','Prompt_no','Task','Score']].to_csv().encode('utf-8') -assessment_result_frames = {} +def df_to_csv_download(df, added_version_code='vNone'): + # IMPORTANT: Cache the conversion to prevent computation on every rerun + df['Dashboard_version']= added_version_code + return df[['File_name','Prompt_no','Task','Score','Dashboard_version']].to_csv().encode('utf-8') +assessment_result_frames = {} st.title('Assessment Summary') -st.header('Manual assessment') + +###### Manual assessment visualisation ############################ +st.header('Manual assessment') try: if sum(st.session_state['eval_df']['manual_eval_completed'])>0: # Display file uploader @@ -29,7 +35,7 @@ try: manual_eval_df['Score'] = manual_eval_df['manual_eval_task_score'].map({'Yes':True, 'No':False}) manual_results_df = manual_eval_df.loc[ (manual_eval_df['manual_eval']==True)& - (manual_eval_df['manual_eval_completed']==True)] + ~(manual_eval_df['manual_eval_task_score'].isna())] manual_results_df['Model']='Manual assessment' assessment_result_frames['Manual assessment'] = manual_results_df @@ -38,7 +44,7 @@ try: st.download_button( label="Download manual assessment data", - data=convert_df_to_csv(manual_results_df), + data=df_to_csv_download(manual_results_df, added_version_code=dashboard_version_code), file_name='manual_assessment.csv', mime='text/csv', ) @@ -47,6 +53,8 @@ try: except KeyError: pre_assessment_visualisation(type_str='manual') + +###### Automated assessment visualisation ############################ st.write(' ') st.header('Automated assessment') try: @@ -63,7 +71,7 @@ try: st.download_button( label="Download automated assessment data", - data=convert_df_to_csv(auto_eval_df), + data=df_to_csv_download(auto_eval_df, added_version_code=dashboard_version_code), file_name='automated_assessment.csv', mime='text/csv', ) @@ -71,6 +79,8 @@ except KeyError: pre_assessment_visualisation(type_str='automated') + +###### Gallery ############################ try: # Start gallery st.header('Assessment gallery') @@ -105,6 +115,7 @@ try: curr_Prompt = curr_prompt_dir[curr_prompt_dir['ID']==int(curr_Prompt_no)].Prompt curr_Picture_index = gallery_row_print.Picture_index.item() # Plot prompt and image + st.write('File name: '+gallery_row_print.File_name) st.write('Prompt: '+curr_Prompt.item()) st.image(st.session_state['uploaded_img'][curr_Picture_index],width=350) diff --git a/pages/Functions/Dashboard_functions.py b/pages/Functions/Dashboard_functions.py index b3550100a50dc801cfe3b436536d0909968ea254..b9ed5d0dfa0bd70c50f565603bb32c41cae9e473 100644 --- a/pages/Functions/Dashboard_functions.py +++ b/pages/Functions/Dashboard_functions.py @@ -1,4 +1,8 @@ # General functions and routines used in the dashboard +''' +- Functions below are ordered by page on which they are used +- If possible, functions should not manipulate the session_state within them +''' import streamlit as st import pandas as pd @@ -9,6 +13,13 @@ from PIL import Image ##### Page-unspecific functions +def if_true_rerun(bool_input): + ''' + This function triggers a rerun of the page if the input == True + ''' + if bool_input == True: + st.experimental_rerun() + def assert_uploaded_frame(uploaded_df): # Set up variables checked for asserted_columns = { @@ -19,7 +30,8 @@ def assert_uploaded_frame(uploaded_df): asserted_column_names = ['Prompt_no','Score','Task','File_name'] # Check whether all needed column names are present - existing_column_names = [(x in uploaded_df.columns) for x in asserted_column_names] + df_columns_list = uploaded_df.columns.tolist() + existing_column_names = [(x in df_columns_list) for x in asserted_column_names] assert all(existing_column_names), "The uploaded dataframe is missing a column needed for import. Your table needs to contain the columns: 'Prompt_no', 'Score', 'Task', 'File_name' " # Check whether all needed columns have correct dtypes @@ -35,74 +47,249 @@ def assert_multi_frame_upload(list_of_uploaded_dfs): assert_uploaded_frame(i_df) ##### Dashboard main page -def prompt_to_csv(df): +def prompt_to_csv(df, added_version_code='vNone'): df_download = df - df_download['Filename']='p'+df_download['ID'].astype('str')+'_1.png' + df_download['Filename']='p'+df_download['ID'].astype('str')+'_1_'+added_version_code+'.png' df_download = df[['Prompt','Filename']].drop_duplicates(subset='Filename') return df_download.to_csv().encode('utf-8') +def prompt_df_for_download(prompt_dir): + ''' + Function to create a subset of the prompt_dir via count based selection + ''' + # Create local copy of variables + temp_prompt_dir = prompt_dir + + # Create dict to hold counts of downloaded prompts + prompt_download_dict = {} + ## Count how many prompts are in database to allow for max value in selection + prompt_task_count = temp_prompt_dir.Task.value_counts(sort=False) + prompt_task_select = prompt_task_count.copy() + + # Create numerical selector for every task in prompt directory, add count per task to dict + for i_task in prompt_task_select.index: + prompt_task_select[i_task] = st.number_input( + i_task, + value = prompt_task_count[i_task], + max_value=prompt_task_count[i_task], + min_value=0, + step = 1) + + # Create df with selected number of prompts per task + for i_task in prompt_task_select.index: + temp_df = temp_prompt_dir.loc[temp_prompt_dir['Task']==i_task][0:prompt_task_select[i_task]] + if len(temp_df)>0: + prompt_download_dict[i_task]=temp_df + + # Concat all tasks to dataframe + prompt_download = pd.concat(prompt_download_dict.values()) + + # Add linked prompts, if the user chooses to + download_linked_prompts = st.checkbox('Download linked prompts', value=True) + if download_linked_prompts: + + # Delete rows which do not have linked prompts to avoid type error + linked_prompts_info = prompt_download.dropna(subset='Linked_prompts') + + # Add relevant linked prompts + linked_prompts_ids = linked_prompts_info.Linked_prompts.str.split(',').explode().unique().astype('int') + prompt_download = pd.concat( + [prompt_download, + temp_prompt_dir.loc[temp_prompt_dir['ID'].isin(linked_prompts_ids)]]) + + # Drop rows prompts which appear twice + prompt_download = prompt_download.drop_duplicates(subset='ID') + + return prompt_download + ##### Manual assessment -def delete_last_manual_rating(): +def set_eval_df_rating_vals(eval_df, picture_index, manual_eval, manual_eval_completed, manual_eval_task_score): + ''' + Function to set a block of key manual rating related variables of eval_df + ''' + temp_eval_df = eval_df + temp_eval_df.loc[picture_index,'manual_eval']=manual_eval + temp_eval_df.loc[picture_index,'manual_eval_completed']=manual_eval_completed + temp_eval_df.loc[picture_index,'manual_eval_task_score']=manual_eval_task_score + return temp_eval_df + +def radio_rating_index_translation(manual_rating_value): + if manual_rating_value == "No": + return 1 + else: + return 0 + + +def collect_linked_prompt_ratings(curr_linked_prompts, curr_eval_df, curr_prompt_dir): + ''' + Create elements to collect ratings on linked prompts: + If there are linked prompts, create df with info + Else create emtpy df which will automatically skip the rating creation for these prompts + Here we do not test for (curr_eval_df['manual_eval']==True) as the curr_linked_prompts + is already testing for valid prompt number and we want to ignore the exclusion for subprompts + ''' + if type(curr_linked_prompts)==list: + curr_linked_rows = curr_eval_df.loc[ + (curr_eval_df['manual_eval_completed']==False)& + (curr_eval_df['Prompt_no'].isin(curr_linked_prompts))] + curr_linked_rows = curr_linked_rows.groupby('Prompt_no').first() + else: + curr_linked_rows = pd.DataFrame() + + # Create rating for subprompts if a df for subprompt info was created + for row in curr_linked_rows.itertuples(): + # Preselected radio option + radio_preselect = radio_rating_index_translation(row.manual_eval_task_score) + # Prompt + st.write('Prompt: {0}'.format( + curr_prompt_dir.loc[curr_prompt_dir['ID']==int(row.Index)]['Prompt'].item() + )) + # Image + st.image(st.session_state['uploaded_img'][row.Picture_index],width=350) + # Rating + curr_linked_rows.loc[curr_linked_rows['Picture_index']==row.Picture_index,'manual_eval_task_score'] = st.radio( + "Does the image match the prompt?",('Yes', 'No'), horizontal=True, key=row.Picture_index, index=radio_preselect) + st.write(' ') + st.write(' ') + + return curr_linked_rows + + +def delete_last_manual_rating(session_history, eval_df): ''' Routine to delete last manual rating and hence to return to it ''' - if len(st.session_state['manual_rating_history'])>0: + # Create local copies of objects + temp_session_history = session_history + temp_eval_df = eval_df.copy() + temp_submit = False + if len(temp_session_history)>0: if st.button('Return to last rated image'): # The list contains sublists of images rated together, here we loop over these images to reset all of them - deleted_picture_index_list = st.session_state['manual_rating_history'].pop() + deleted_picture_index_list = temp_session_history.pop() for i_picind in deleted_picture_index_list: - st.session_state['eval_df'].loc[ + temp_eval_df.loc[ i_picind,'manual_eval_completed']=False - st.session_state['eval_df'].loc[ - i_picind,'manual_eval_task_score']=np.nan - st.experimental_rerun() + #temp_eval_df.loc[ + # i_picind,'manual_eval_task_score']=np.nan + + # Set submit boolean to true, to rerun the page + temp_submit = True + + return temp_session_history, temp_eval_df, temp_submit + -def add_previous_manual_assessments(): +def add_previous_manual_assessments_upload_back(eval_df): ''' - This is a routine to allow the user to upload prior manual ratings and override - current ratings. This way the user can restart a manual assessment. + Routine to upload a dataframe of previous (manual) assessment to add it to existing database. + The uploaded df is assessed, matching counts are printed and it returns the imported df for furthe processing. ''' - # Create dict to translate uploaded score into str format used during manual assessment - Bool_str_dict = {True:'Yes',False:'No'} - - st.subheader('Add previous assessments') - st.write('Upload results of previous assessment (as downloaded from summary page) to add these results and skip these images in your current manual assessment. Note that you can only add results for images which you have uploaded using the same file name.') + # Create necessary local variables + temp_eval_df = eval_df - uploaded_ratings = st.file_uploader('Select .csv for upload', accept_multiple_files=False) - if uploaded_ratings != None: + # Upload single dataframe, setting default to None for code type checking + temp_uploaded_ratings = None + temp_uploaded_ratings = st.file_uploader('Select .csv for upload', accept_multiple_files=False) + if temp_uploaded_ratings != None: try: - uploaded_ratings_df = pd.read_csv(uploaded_ratings) + # Import the uploaded csv as dataframe + uploaded_ratings_df = pd.read_csv(temp_uploaded_ratings) # Run standard assert pipeline assert_uploaded_frame(uploaded_ratings_df) # Show matching image count and instructions - overlapping_files_df =pd.merge(st.session_state['eval_df'],uploaded_ratings_df,on='File_name',how='inner') + overlapping_files_df = pd.merge(temp_eval_df,uploaded_ratings_df,on='File_name',how='inner') st.write('Number of matching file names found: '+ str(len(overlapping_files_df))) st.write('Click "Add results" button to add / override current ratings with uploaded ratings.') + + return uploaded_ratings_df except UnicodeDecodeError: st.write('WARNING: The uploaded file has to be a .csv downloaded from the "Assessment summary" page.') + return temp_uploaded_ratings - submitted = st.button("Add results") - if submitted: +def add_previous_manual_assessments_upload(eval_df, dashboard_version_code='vNone'): + ''' + Routine to upload a dataframe of previous (manual) assessment to add it to existing database. + The uploaded df is assessed, matching counts are printed and it returns the imported df for furthe processing. + ''' + # Create necessary local variables + temp_eval_df = eval_df + + # Upload single dataframe, setting default to None for code type checking + temp_uploaded_ratings = None + temp_uploaded_ratings = st.file_uploader('Select .csv for upload', accept_multiple_files=False) + if temp_uploaded_ratings != None: try: - for row in uploaded_ratings_df.itertuples(): - st.session_state['eval_df'].loc[ - st.session_state['eval_df']['File_name']==row.File_name,'manual_eval']=True - st.session_state['eval_df'].loc[ - st.session_state['eval_df']['File_name']==row.File_name,'manual_eval_completed']=True - st.session_state['eval_df'].loc[ - st.session_state['eval_df']['File_name']==row.File_name,'manual_eval_task_score']=Bool_str_dict[row.Score] + # Import the uploaded csv as dataframe + uploaded_ratings_df = pd.read_csv(temp_uploaded_ratings) + + # Run standard assert pipeline + assert_uploaded_frame(uploaded_ratings_df) + + # Check the uploaded df has a registered dashboard version + assert 'Dashboard_version' in uploaded_ratings_df.columns,"The uploaded dataframe needs to have a Dashboard_version column." + # Check for correct dashboard version in uploaded file + matching_dashboard_version = uploaded_ratings_df['Dashboard_version'] == dashboard_version_code + assert all(matching_dashboard_version),"The dashboard version of your uploaded results does not match the version of this dashboard." + + # Show matching image count and instructions + overlapping_files_df = pd.merge(temp_eval_df,uploaded_ratings_df,on='File_name',how='inner') + st.write('Number of matching file names found: '+ str(len(overlapping_files_df))) + ## Show warning if some of the matching images already have a rating + if len(overlapping_files_df.manual_eval_task_score.dropna())>0: + st.write('WARNING: {0} of {1} matching files already have a saved rating. These will be overriden when you click "Add results".'.format( + str(len(overlapping_files_df.manual_eval_task_score.dropna())),str(len(overlapping_files_df)))) + st.write('Click "Add results" button to add uploaded ratings to current ratings.') + return uploaded_ratings_df + except UnicodeDecodeError: + st.write('WARNING: The uploaded file has to be a .csv downloaded from the "Assessment summary" page.') + return temp_uploaded_ratings + +def add_previous_manual_assessments_submit(eval_df, uploaded_ratings): + ''' + If uploaded_ratings != None, this will create a button which when pressed will trigger + for the provided ratings to be added to eval_df + ''' + # Create necessary local variables + temp_eval_df = eval_df + temp_submitted = False + + # Create dict to translate uploaded score into str format used during manual assessment + bool_str_dict = {True:'Yes',False:'No'} - # Reset page after ratings were submitted - st.experimental_rerun() - except NameError: - st.write('You need to upload a .csv file before you can add results.') + # If a dataframe of uploaded ratings was provided: create a button which allows to add ratings to existing eval_df + if type(uploaded_ratings) == pd.DataFrame: + temp_submitted = st.button("Add results") + if temp_submitted: + for row in uploaded_ratings.itertuples(): + temp_eval_df.loc[temp_eval_df['File_name']==row.File_name,'manual_eval']=True + temp_eval_df.loc[temp_eval_df['File_name']==row.File_name,'manual_eval_completed']=True + temp_eval_df.loc[temp_eval_df['File_name']==row.File_name,'manual_eval_task_score']=bool_str_dict[row.Score] + return temp_eval_df, temp_submitted +def add_previous_manual_assessments(eval_df, dashboard_version_code): + ''' + Full routine to allow the user to upload past ratings and add these to eval_df + ''' + st.subheader('Add previous assessments') + st.write('Upload results of previous assessment (as downloaded from summary page) to add these results and skip these images in your current manual assessment. Note that you can only add results for images which you have uploaded using the same file name.') + + # Create necessary local variables + temp_eval_df = eval_df + + # Allow user to upload .csv with prior ratings + uploaded_ratings = add_previous_manual_assessments_upload(temp_eval_df, dashboard_version_code) + + # Add rating to eval_df, if some were uploaded + temp_eval_df, temp_submitted = add_previous_manual_assessments_submit(temp_eval_df, uploaded_ratings) + + return temp_eval_df, temp_submitted + ##### Assessment summary def print_results_tabs(file_upload, results_df): @@ -167,63 +354,3 @@ def multi_comparison_plotI(results_df = None, uploaded_df_list = []): plt.xlabel(' ') plt.ylim(0, 100) return fig,grouped_series - - - - -############## Functions no longer used, to be deleted - -def plot_style_simple(results_df, return_table = False): - ''' - Simple plot function for plotting just one dataframe of results - ''' - eval_sum = results_df.groupby('Task')['Score'].sum() - eval_count = results_df.groupby('Task')['Score'].count() - eval_share = (eval_sum/eval_count)*100 - - if return_table: - return_series = results_df.groupby('Task')['Score'].sum()/results_df.groupby('Task')['Score'].count()*100 - return_series = return_series.rename('Percentage correct') - return return_series - - # Add small amount to make the bars on plot not disappear - eval_share = eval_share+1 - - fig = plt.figure(figsize=(12, 3)) - sns.barplot(x=eval_share.index, y=eval_share.values, palette='GnBu') - plt.xticks(rotation=-65) - plt.ylabel('Percentage correct') - plt.xlabel(' ') - return fig - -def plot_style_combined(results_df, uploaded_df = None, return_table=False): - ''' - Plot function which can plot to dataframe for comparison - ''' - # Create joined dataframe of results and uploadd_df - uploaded_results_df = uploaded_df - manual_results_df['Model']='Current' - uploaded_results_df['Model']='Uploaded' - results_df = pd.concat([manual_results_df,uploaded_results_df]) - - # Create scores for plot - eval_sum = results_df.groupby(['Model','Task'])['Score'].sum() - eval_count = results_df.groupby(['Model','Task'])['Score'].count() - eval_share = (eval_sum/eval_count)*100 - eval_share = eval_share.reset_index() - - if return_table: - return_series = results_df.groupby(['Task','Model'])['Score'].sum()/results_df.groupby(['Task','Model'])['Score'].count()*100 - return_series = return_series.rename('Percentage correct') - return return_series - - # Add small amount to make the bars on plot not disappear - eval_share['Score'] = eval_share['Score']+1 - - # Create plot - fig = plt.figure(figsize=(12, 3)) - sns.barplot(data=eval_share,x='Task',y='Score',hue='Model', palette='GnBu') - plt.xticks(rotation=-65) - plt.ylabel('Percentage correct') - plt.xlabel(' ') - return fig \ No newline at end of file