metadata
configs:
- config_name: default
data_files:
- split: fishing_equipment
path: data/fishing_equipment-*
- split: playgrounds
path: data/playgrounds-*
- split: fruit_trees
path: data/fruit_trees-*
- split: cleaning_after_toilet
path: data/cleaning_after_toilet-*
- split: dinner_guests
path: data/dinner_guests-*
- split: idols
path: data/idols-*
- split: freezer
path: data/freezer-*
- split: hand_washing
path: data/hand_washing-*
- split: lock_on_front_door
path: data/lock_on_front_door-*
- split: children_room
path: data/children_room-*
- split: coats_and_jackets
path: data/coats_and_jackets-*
- split: hand_palm
path: data/hand_palm-*
- split: play_area
path: data/play_area-*
- split: bed
path: data/bed-*
- split: car_keys
path: data/car_keys-*
- split: meat_markets
path: data/meat_markets-*
- split: earings
path: data/earings-*
- split: hallway
path: data/hallway-*
- split: salt
path: data/salt-*
- split: cleaning_equipment
path: data/cleaning_equipment-*
- split: water_sources
path: data/water_sources-*
- split: chickens
path: data/chickens-*
- split: toilet_paper
path: data/toilet_paper-*
- split: backyard
path: data/backyard-*
- split: living_room
path: data/living_room-*
- split: refrigerator
path: data/refrigerator-*
- split: bathroom_privacy
path: data/bathroom_privacy-*
- split: next_big_thing_you_are_planning_to_buy
path: data/next_big_thing_you_are_planning_to_buy-*
- split: nature_sceneries
path: data/nature_sceneries-*
- split: bread_bowls
path: data/bread_bowls-*
- split: portraits
path: data/portraits-*
- split: boat
path: data/boat-*
- split: books
path: data/books-*
- split: necklaces
path: data/necklaces-*
- split: plate_of_food
path: data/plate_of_food-*
- split: place_where_serving_guests
path: data/place_where_serving_guests-*
- split: medication
path: data/medication-*
- split: meat_storages
path: data/meat_storages-*
- split: hand_back
path: data/hand_back-*
- split: kitchen
path: data/kitchen-*
- split: stove_hob
path: data/stove_hob-*
- split: jewelry
path: data/jewelry-*
- split: sitting_area
path: data/sitting_area-*
- split: cattle
path: data/cattle-*
- split: source_of_heat
path: data/source_of_heat-*
- split: drinks
path: data/drinks-*
- split: bowls
path: data/bowls-*
- split: tractors
path: data/tractors-*
- split: shampoo
path: data/shampoo-*
- split: toilet
path: data/toilet-*
- split: baking_tables
path: data/baking_tables-*
- split: wardrobe
path: data/wardrobe-*
- split: arm_watches
path: data/arm_watches-*
- split: armchair
path: data/armchair-*
- split: shower
path: data/shower-*
- split: visit
path: data/visit-*
- split: music_equipment
path: data/music_equipment-*
- split: bathroom_toilet
path: data/bathroom_toilet-*
- split: electric_wires
path: data/electric_wires-*
- split: cooking_pots
path: data/cooking_pots-*
- split: other_transport
path: data/other_transport-*
- split: daylight_ostructions
path: data/daylight_ostructions-*
- split: bread_ready
path: data/bread_ready-*
- split: work_area
path: data/work_area-*
- split: pet_foods
path: data/pet_foods-*
- split: air_fresheners_scents
path: data/air_fresheners_scents-*
- split: dishwasher
path: data/dishwasher-*
- split: street_view
path: data/street_view-*
- split: foodstores
path: data/foodstores-*
- split: shoes
path: data/shoes-*
- split: pet
path: data/pet-*
- split: couch
path: data/couch-*
- split: thing_i_dream_about_having
path: data/thing_i_dream_about_having-*
- split: glasses_or_lenses
path: data/glasses_or_lenses-*
- split: instrument
path: data/instrument-*
- split: vegetable_markets
path: data/vegetable_markets-*
- split: washing_clothes_cleaning
path: data/washing_clothes_cleaning-*
- split: most_played_songs_on_the_radio
path: data/most_played_songs_on_the_radio-*
- split: equipment
path: data/equipment-*
- split: car
path: data/car-*
- split: table_with_food
path: data/table_with_food-*
- split: switch_on_off
path: data/switch_on_off-*
- split: coins
path: data/coins-*
- split: smoke_and_steam_exit
path: data/smoke_and_steam_exit-*
- split: washing_detergent
path: data/washing_detergent-*
- split: air_cleaning_equipments
path: data/air_cleaning_equipments-*
- split: tv
path: data/tv-*
- split: lightsources_by_bed
path: data/lightsources_by_bed-*
- split: wall_
path: data/wall_-*
- split: floor
path: data/floor-*
- split: clothes
path: data/clothes-*
- split: tattoos
path: data/tattoos-*
- split: toothbrush
path: data/toothbrush-*
- split: trash_waste
path: data/trash_waste-*
- split: light_source_in_livingroom
path: data/light_source_in_livingroom-*
- split: dish_racks
path: data/dish_racks-*
- split: drinking_water
path: data/drinking_water-*
- split: phone
path: data/phone-*
- split: surroundings
path: data/surroundings-*
- split: tabloids
path: data/tabloids-*
- split: pen_pencils
path: data/pen_pencils-*
- split: tooth_paste
path: data/tooth_paste-*
- split: make_up
path: data/make_up-*
- split: worship_places
path: data/worship_places-*
- split: cigarettes
path: data/cigarettes-*
- split: sheep
path: data/sheep-*
- split: cups_mugs_glasses
path: data/cups_mugs_glasses-*
- split: baking_tools
path: data/baking_tools-*
- split: goats
path: data/goats-*
- split: dish_washing_brush_cloth
path: data/dish_washing_brush_cloth-*
- split: plates
path: data/plates-*
- split: waste_dumps
path: data/waste_dumps-*
- split: icons
path: data/icons-*
- split: meat_or_fish
path: data/meat_or_fish-*
- split: wheel_barrow
path: data/wheel_barrow-*
- split: water_sources_for_doing_dishes
path: data/water_sources_for_doing_dishes-*
- split: soccer_balls
path: data/soccer_balls-*
- split: wall_decoration
path: data/wall_decoration-*
- split: horses
path: data/horses-*
- split: bed_kids
path: data/bed_kids-*
- split: contraceptives
path: data/contraceptives-*
- split: nicest_shoes
path: data/nicest_shoes-*
- split: computer
path: data/computer-*
- split: baby_powder
path: data/baby_powder-*
- split: family_snapshots
path: data/family_snapshots-*
- split: moped_motorcycle
path: data/moped_motorcycle-*
- split: most_loved_item
path: data/most_loved_item-*
- split: menstruation_pads_tampax
path: data/menstruation_pads_tampax-*
- split: youth_culture
path: data/youth_culture-*
- split: baking_sheets
path: data/baking_sheets-*
- split: tools
path: data/tools-*
- split: grains
path: data/grains-*
- split: radio
path: data/radio-*
- split: rug
path: data/rug-*
- split: water_outlet
path: data/water_outlet-*
- split: milk_cows_or_bulls
path: data/milk_cows_or_bulls-*
- split: oven
path: data/oven-*
- split: roof
path: data/roof-*
- split: dish_washing_soap
path: data/dish_washing_soap-*
- split: smog_bad_air_breathing_protection
path: data/smog_bad_air_breathing_protection-*
- split: parking_lot
path: data/parking_lot-*
- split: paper
path: data/paper-*
- split: knifes
path: data/knifes-*
- split: wall_inside
path: data/wall_inside-*
- split: snacks
path: data/snacks-*
- split: fishes
path: data/fishes-*
- split: frontdoor_keys
path: data/frontdoor_keys-*
- split: photo_guide_images
path: data/photo_guide_images-*
- split: cutlery
path: data/cutlery-*
- split: water_purifier_solutions
path: data/water_purifier_solutions-*
- split: place_where_eating_dinner
path: data/place_where_eating_dinner-*
- split: front_door
path: data/front_door-*
- split: family
path: data/family-*
- split: home
path: data/home-*
- split: latest_furniture_bought
path: data/latest_furniture_bought-*
- split: cooking
path: data/cooking-*
- split: sources_of_drinking_water
path: data/sources_of_drinking_water-*
- split: vegetables
path: data/vegetables-*
- split: everyday_shoes
path: data/everyday_shoes-*
- split: elevators
path: data/elevators-*
- split: favorite_home_decorations
path: data/favorite_home_decorations-*
- split: wedding_photos
path: data/wedding_photos-*
- split: bedroom
path: data/bedroom-*
- split: carrying_water
path: data/carrying_water-*
- split: rehabilitation_technology
path: data/rehabilitation_technology-*
- split: markets
path: data/markets-*
- split: bike
path: data/bike-*
- split: bed_hq
path: data/bed_hq-*
- split: mosquito_protection
path: data/mosquito_protection-*
- split: kitchen_sink
path: data/kitchen_sink-*
- split: get_water
path: data/get_water-*
- split: hair_brush_comb
path: data/hair_brush_comb-*
- split: spices
path: data/spices-*
- split: most_loved_toy
path: data/most_loved_toy-*
- split: shaving
path: data/shaving-*
- split: teeth
path: data/teeth-*
- split: wall_clock
path: data/wall_clock-*
- split: drying
path: data/drying-*
- split: soap_for_hands_and_body
path: data/soap_for_hands_and_body-*
- split: transport_of_heavy_things
path: data/transport_of_heavy_things-*
- split: horse_stables
path: data/horse_stables-*
- split: newspapers
path: data/newspapers-*
- split: car_decorations
path: data/car_decorations-*
- split: toys
path: data/toys-*
- split: cleaning_floors
path: data/cleaning_floors-*
- split: alcoholic_drinks
path: data/alcoholic_drinks-*
- split: cosmetics
path: data/cosmetics-*
- split: soccer_supporter_items
path: data/soccer_supporter_items-*
- split: bad_outdoor_air_obstructions
path: data/bad_outdoor_air_obstructions-*
- split: social_drink
path: data/social_drink-*
- split: cooking_utensils
path: data/cooking_utensils-*
- split: skies_outside
path: data/skies_outside-*
- split: arm_watch
path: data/arm_watch-*
- split: guest_bed
path: data/guest_bed-*
- split: ingredients
path: data/ingredients-*
- split: replaced
path: data/replaced-*
- split: power_outlet
path: data/power_outlet-*
- split: ventilation
path: data/ventilation-*
- split: bills_of_money
path: data/bills_of_money-*
- split: light_source_in_kitchen
path: data/light_source_in_kitchen-*
- split: agriculture_land
path: data/agriculture_land-*
- split: street_detail
path: data/street_detail-*
- split: light_sources
path: data/light_sources-*
- split: ceiling
path: data/ceiling-*
- split: things_i_wish_i_had
path: data/things_i_wish_i_had-*
- split: wall
path: data/wall-*
- split: piercings
path: data/piercings-*
- split: vegetable_plot
path: data/vegetable_plot-*
- split: fields
path: data/fields-*
- split: source_of_cool
path: data/source_of_cool-*
- split: storage_room
path: data/storage_room-*
- split: fruits_and_vegetables
path: data/fruits_and_vegetables-*
- split: favourite_sports_clubs
path: data/favourite_sports_clubs-*
- split: snack_stores
path: data/snack_stores-*
- split: electricity_wires
path: data/electricity_wires-*
- split: celebrity_posters
path: data/celebrity_posters-*
dataset_info:
features:
- name: id
dtype: string
- name: country_name
dtype: string
- name: country_id
dtype: string
- name: region_id
dtype: string
- name: type
dtype: string
- name: image
dtype: image
- name: topics
dtype: string
- name: place
dtype: string
- name: income
dtype: string
splits:
- name: fishing_equipment
num_bytes: 4282534
num_examples: 1
- name: playgrounds
num_bytes: 35287984
num_examples: 7
- name: fruit_trees
num_bytes: 347993315
num_examples: 100
- name: cleaning_after_toilet
num_bytes: 21874227
num_examples: 14
- name: dinner_guests
num_bytes: 142874232
num_examples: 48
- name: idols
num_bytes: 204194164
num_examples: 65
- name: freezer
num_bytes: 515874223
num_examples: 187
- name: hand_washing
num_bytes: 1060102199
num_examples: 347
- name: lock_on_front_door
num_bytes: 1099656984
num_examples: 362
- name: children_room
num_bytes: 677706326
num_examples: 196
- name: coats_and_jackets
num_bytes: 60417863
num_examples: 26
- name: hand_palm
num_bytes: 1045670614
num_examples: 357
- name: play_area
num_bytes: 807546710
num_examples: 216
- name: bed
num_bytes: 2798532320
num_examples: 832
- name: car_keys
num_bytes: 58358512
num_examples: 58
- name: meat_markets
num_bytes: 4634793
num_examples: 1
- name: earings
num_bytes: 395054544
num_examples: 136
- name: hallway
num_bytes: 126639302
num_examples: 49
- name: salt
num_bytes: 997626560
num_examples: 343
- name: cleaning_equipment
num_bytes: 808855439
num_examples: 240
- name: water_sources
num_bytes: 39337550
num_examples: 12
- name: chickens
num_bytes: 271724783
num_examples: 71
- name: toilet_paper
num_bytes: 908650830
num_examples: 294
- name: backyard
num_bytes: 834683499
num_examples: 208
- name: living_room
num_bytes: 976352363
num_examples: 279
- name: refrigerator
num_bytes: 704561864
num_examples: 262
- name: bathroom_privacy
num_bytes: 898900810
num_examples: 283
- name: next_big_thing_you_are_planning_to_buy
num_bytes: 426843198
num_examples: 153
- name: nature_sceneries
num_bytes: 9080831
num_examples: 3
- name: bread_bowls
num_bytes: 4171755
num_examples: 1
- name: portraits
num_bytes: 27532067
num_examples: 9
- name: boat
num_bytes: 23087642
num_examples: 5
- name: books
num_bytes: 1045990947
num_examples: 315
- name: necklaces
num_bytes: 468137237
num_examples: 139
- name: plate_of_food
num_bytes: 965241961
num_examples: 298
- name: place_where_serving_guests
num_bytes: 452285557
num_examples: 147
- name: medication
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num_examples: 291
- name: meat_storages
num_bytes: 5019867
num_examples: 2
- name: hand_back
num_bytes: 1091816070
num_examples: 358
- name: kitchen
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num_examples: 967
- name: stove_hob
num_bytes: 1175724856
num_examples: 381
- name: jewelry
num_bytes: 566520264
num_examples: 189
- name: sitting_area
num_bytes: 1008819886
num_examples: 299
- name: cattle
num_bytes: 33022033
num_examples: 12
- name: source_of_heat
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num_examples: 145
- name: drinks
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num_examples: 75
- name: bowls
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num_examples: 24
- name: tractors
num_bytes: 8786272
num_examples: 1
- name: shampoo
num_bytes: 1009790811
num_examples: 339
- name: toilet
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num_examples: 943
- name: baking_tables
num_bytes: 3017644
num_examples: 1
- name: wardrobe
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num_examples: 362
- name: arm_watches
num_bytes: 55557790
num_examples: 30
- name: armchair
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num_examples: 332
- name: shower
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num_examples: 329
- name: visit
num_bytes: 4464796725.109
num_examples: 1321
- name: music_equipment
num_bytes: 517230560
num_examples: 172
- name: bathroom_toilet
num_bytes: 1129143553
num_examples: 350
- name: electric_wires
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num_examples: 2
- name: cooking_pots
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num_examples: 384
- name: other_transport
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num_examples: 5
- name: daylight_ostructions
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num_examples: 6
- name: bread_ready
num_bytes: 2912081
num_examples: 1
- name: work_area
num_bytes: 527291086
num_examples: 168
- name: pet_foods
num_bytes: 208829264
num_examples: 64
- name: air_fresheners_scents
num_bytes: 115395
num_examples: 1
- name: dishwasher
num_bytes: 189437189
num_examples: 55
- name: street_view
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num_examples: 353
- name: foodstores
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num_examples: 3
- name: shoes
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num_examples: 709
- name: pet
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num_examples: 248
- name: couch
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num_examples: 306
- name: thing_i_dream_about_having
num_bytes: 472486186
num_examples: 159
- name: glasses_or_lenses
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num_examples: 148
- name: instrument
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num_examples: 64
- name: vegetable_markets
num_bytes: 3934905
num_examples: 1
- name: washing_clothes_cleaning
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num_examples: 314
- name: most_played_songs_on_the_radio
num_bytes: 2804770
num_examples: 1
- name: equipment
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num_examples: 413
- name: car
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num_examples: 154
- name: table_with_food
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num_examples: 228
- name: switch_on_off
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num_examples: 297
- name: coins
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num_examples: 1
- name: smoke_and_steam_exit
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- name: washing_detergent
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num_examples: 315
- name: air_cleaning_equipments
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num_examples: 4
- name: tv
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num_examples: 292
- name: lightsources_by_bed
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- name: wall_
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num_examples: 877
- name: floor
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num_examples: 377
- name: clothes
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- name: tattoos
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num_examples: 51
- name: toothbrush
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- name: light_source_in_livingroom
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- name: dish_racks
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- name: drinking_water
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- name: phone
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- name: surroundings
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- name: pen_pencils
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num_examples: 288
- name: tooth_paste
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num_examples: 334
- name: make_up
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num_examples: 97
- name: worship_places
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num_examples: 77
- name: cigarettes
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num_examples: 30
- name: sheep
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num_examples: 4
- name: cups_mugs_glasses
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num_examples: 333
- name: baking_tools
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num_examples: 1
- name: goats
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num_examples: 24
- name: dish_washing_brush_cloth
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num_examples: 351
- name: plates
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- name: waste_dumps
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num_examples: 127
- name: icons
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num_examples: 188
- name: meat_or_fish
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- name: wheel_barrow
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num_examples: 45
- name: water_sources_for_doing_dishes
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num_examples: 7
- name: soccer_balls
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num_examples: 3
- name: wall_decoration
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- name: horses
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- name: bed_kids
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num_examples: 250
- name: contraceptives
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num_examples: 25
- name: nicest_shoes
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num_examples: 350
- name: computer
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- name: baby_powder
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num_examples: 4
- name: family_snapshots
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num_examples: 109
- name: moped_motorcycle
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num_examples: 82
- name: most_loved_item
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num_examples: 242
- name: menstruation_pads_tampax
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num_examples: 125
- name: youth_culture
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- name: baking_sheets
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- name: tools
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- name: grains
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- name: radio
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num_examples: 164
- name: rug
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- name: water_outlet
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- name: milk_cows_or_bulls
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num_examples: 6
- name: oven
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num_examples: 142
- name: roof
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num_examples: 302
- name: dish_washing_soap
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num_examples: 337
- name: smog_bad_air_breathing_protection
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- name: parking_lot
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num_examples: 126
- name: paper
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num_examples: 505
- name: knifes
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- name: wall_inside
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num_examples: 358
- name: snacks
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num_examples: 11
- name: fishes
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num_examples: 58
- name: frontdoor_keys
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num_examples: 147
- name: photo_guide_images
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num_examples: 75
- name: cutlery
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num_examples: 301
- name: water_purifier_solutions
num_bytes: 278055
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