|
--- |
|
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: 4282534.0 |
|
num_examples: 1 |
|
- name: playgrounds |
|
num_bytes: 35287984.0 |
|
num_examples: 7 |
|
- name: fruit_trees |
|
num_bytes: 347993315.0 |
|
num_examples: 100 |
|
- name: cleaning_after_toilet |
|
num_bytes: 21874227.0 |
|
num_examples: 14 |
|
- name: dinner_guests |
|
num_bytes: 142874232.0 |
|
num_examples: 48 |
|
- name: idols |
|
num_bytes: 204194164.0 |
|
num_examples: 65 |
|
- name: freezer |
|
num_bytes: 515874223.0 |
|
num_examples: 187 |
|
- name: hand_washing |
|
num_bytes: 1060102199.0 |
|
num_examples: 347 |
|
- name: lock_on_front_door |
|
num_bytes: 1099656984.0 |
|
num_examples: 362 |
|
- name: children_room |
|
num_bytes: 677706326.0 |
|
num_examples: 196 |
|
- name: coats_and_jackets |
|
num_bytes: 60417863.0 |
|
num_examples: 26 |
|
- name: hand_palm |
|
num_bytes: 1045670614.0 |
|
num_examples: 357 |
|
- name: play_area |
|
num_bytes: 807546710.0 |
|
num_examples: 216 |
|
- name: bed |
|
num_bytes: 2798532320.0 |
|
num_examples: 832 |
|
- name: car_keys |
|
num_bytes: 58358512.0 |
|
num_examples: 58 |
|
- name: meat_markets |
|
num_bytes: 4634793.0 |
|
num_examples: 1 |
|
- name: earings |
|
num_bytes: 395054544.0 |
|
num_examples: 136 |
|
- name: hallway |
|
num_bytes: 126639302.0 |
|
num_examples: 49 |
|
- name: salt |
|
num_bytes: 997626560.0 |
|
num_examples: 343 |
|
- name: cleaning_equipment |
|
num_bytes: 808855439.0 |
|
num_examples: 240 |
|
- name: water_sources |
|
num_bytes: 39337550.0 |
|
num_examples: 12 |
|
- name: chickens |
|
num_bytes: 271724783.0 |
|
num_examples: 71 |
|
- name: toilet_paper |
|
num_bytes: 908650830.0 |
|
num_examples: 294 |
|
- name: backyard |
|
num_bytes: 834683499.0 |
|
num_examples: 208 |
|
- name: living_room |
|
num_bytes: 976352363.0 |
|
num_examples: 279 |
|
- name: refrigerator |
|
num_bytes: 704561864.0 |
|
num_examples: 262 |
|
- name: bathroom_privacy |
|
num_bytes: 898900810.0 |
|
num_examples: 283 |
|
- name: next_big_thing_you_are_planning_to_buy |
|
num_bytes: 426843198.0 |
|
num_examples: 153 |
|
- name: nature_sceneries |
|
num_bytes: 9080831.0 |
|
num_examples: 3 |
|
- name: bread_bowls |
|
num_bytes: 4171755.0 |
|
num_examples: 1 |
|
- name: portraits |
|
num_bytes: 27532067.0 |
|
num_examples: 9 |
|
- name: boat |
|
num_bytes: 23087642.0 |
|
num_examples: 5 |
|
- name: books |
|
num_bytes: 1045990947.0 |
|
num_examples: 315 |
|
- name: necklaces |
|
num_bytes: 468137237.0 |
|
num_examples: 139 |
|
- name: plate_of_food |
|
num_bytes: 965241961.0 |
|
num_examples: 298 |
|
- name: place_where_serving_guests |
|
num_bytes: 452285557.0 |
|
num_examples: 147 |
|
- name: medication |
|
num_bytes: 935436600.0 |
|
num_examples: 291 |
|
- name: meat_storages |
|
num_bytes: 5019867.0 |
|
num_examples: 2 |
|
- name: hand_back |
|
num_bytes: 1091816070.0 |
|
num_examples: 358 |
|
- name: kitchen |
|
num_bytes: 3049589855.0 |
|
num_examples: 967 |
|
- name: stove_hob |
|
num_bytes: 1175724856.0 |
|
num_examples: 381 |
|
- name: jewelry |
|
num_bytes: 566520264.0 |
|
num_examples: 189 |
|
- name: sitting_area |
|
num_bytes: 1008819886.0 |
|
num_examples: 299 |
|
- name: cattle |
|
num_bytes: 33022033.0 |
|
num_examples: 12 |
|
- name: source_of_heat |
|
num_bytes: 453347786.0 |
|
num_examples: 145 |
|
- name: drinks |
|
num_bytes: 218115579.0 |
|
num_examples: 75 |
|
- name: bowls |
|
num_bytes: 69506612.0 |
|
num_examples: 24 |
|
- name: tractors |
|
num_bytes: 8786272.0 |
|
num_examples: 1 |
|
- name: shampoo |
|
num_bytes: 1009790811.0 |
|
num_examples: 339 |
|
- name: toilet |
|
num_bytes: 2922917220.0 |
|
num_examples: 943 |
|
- name: baking_tables |
|
num_bytes: 3017644.0 |
|
num_examples: 1 |
|
- name: wardrobe |
|
num_bytes: 1161924263.0 |
|
num_examples: 362 |
|
- name: arm_watches |
|
num_bytes: 55557790.0 |
|
num_examples: 30 |
|
- name: armchair |
|
num_bytes: 1116948741.0 |
|
num_examples: 332 |
|
- name: shower |
|
num_bytes: 995696782.0 |
|
num_examples: 329 |
|
- name: visit |
|
num_bytes: 4464796725.109 |
|
num_examples: 1321 |
|
- name: music_equipment |
|
num_bytes: 517230560.0 |
|
num_examples: 172 |
|
- name: bathroom_toilet |
|
num_bytes: 1129143553.0 |
|
num_examples: 350 |
|
- name: electric_wires |
|
num_bytes: 8854810.0 |
|
num_examples: 2 |
|
- name: cooking_pots |
|
num_bytes: 1263802321.0 |
|
num_examples: 384 |
|
- name: other_transport |
|
num_bytes: 20219867.0 |
|
num_examples: 5 |
|
- name: daylight_ostructions |
|
num_bytes: 2457632.0 |
|
num_examples: 6 |
|
- name: bread_ready |
|
num_bytes: 2912081.0 |
|
num_examples: 1 |
|
- name: work_area |
|
num_bytes: 527291086.0 |
|
num_examples: 168 |
|
- name: pet_foods |
|
num_bytes: 208829264.0 |
|
num_examples: 64 |
|
- name: air_fresheners_scents |
|
num_bytes: 115395.0 |
|
num_examples: 1 |
|
- name: dishwasher |
|
num_bytes: 189437189.0 |
|
num_examples: 55 |
|
- name: street_view |
|
num_bytes: 1270219060.0 |
|
num_examples: 353 |
|
- name: foodstores |
|
num_bytes: 17300865.0 |
|
num_examples: 3 |
|
- name: shoes |
|
num_bytes: 2424967583.0 |
|
num_examples: 709 |
|
- name: pet |
|
num_bytes: 843309370.0 |
|
num_examples: 248 |
|
- name: couch |
|
num_bytes: 1038410012.0 |
|
num_examples: 306 |
|
- name: thing_i_dream_about_having |
|
num_bytes: 472486186.0 |
|
num_examples: 159 |
|
- name: glasses_or_lenses |
|
num_bytes: 406654084.0 |
|
num_examples: 148 |
|
- name: instrument |
|
num_bytes: 201768650.0 |
|
num_examples: 64 |
|
- name: vegetable_markets |
|
num_bytes: 3934905.0 |
|
num_examples: 1 |
|
- name: washing_clothes_cleaning |
|
num_bytes: 986858417.0 |
|
num_examples: 314 |
|
- name: most_played_songs_on_the_radio |
|
num_bytes: 2804770.0 |
|
num_examples: 1 |
|
- name: equipment |
|
num_bytes: 1330368532.0 |
|
num_examples: 413 |
|
- name: car |
|
num_bytes: 356818254.0 |
|
num_examples: 154 |
|
- name: table_with_food |
|
num_bytes: 723749144.0 |
|
num_examples: 228 |
|
- name: switch_on_off |
|
num_bytes: 879446769.0 |
|
num_examples: 297 |
|
- name: coins |
|
num_bytes: 4296291.0 |
|
num_examples: 1 |
|
- name: smoke_and_steam_exit |
|
num_bytes: 735515901.0 |
|
num_examples: 233 |
|
- name: washing_detergent |
|
num_bytes: 967584026.0 |
|
num_examples: 315 |
|
- name: air_cleaning_equipments |
|
num_bytes: 562027.0 |
|
num_examples: 4 |
|
- name: tv |
|
num_bytes: 881350311.0 |
|
num_examples: 292 |
|
- name: lightsources_by_bed |
|
num_bytes: 262728699.0 |
|
num_examples: 92 |
|
- name: wall_ |
|
num_bytes: 2818789640.0 |
|
num_examples: 877 |
|
- name: floor |
|
num_bytes: 1330556621.0 |
|
num_examples: 377 |
|
- name: clothes |
|
num_bytes: 1022544251.0 |
|
num_examples: 323 |
|
- name: tattoos |
|
num_bytes: 175056398.0 |
|
num_examples: 51 |
|
- name: toothbrush |
|
num_bytes: 1119100599.0 |
|
num_examples: 379 |
|
- name: trash_waste |
|
num_bytes: 964196788.0 |
|
num_examples: 291 |
|
- name: light_source_in_livingroom |
|
num_bytes: 895836854.0 |
|
num_examples: 307 |
|
- name: dish_racks |
|
num_bytes: 1070639074.0 |
|
num_examples: 336 |
|
- name: drinking_water |
|
num_bytes: 958784447.0 |
|
num_examples: 309 |
|
- name: phone |
|
num_bytes: 1002531643.0 |
|
num_examples: 326 |
|
- name: surroundings |
|
num_bytes: 60100849.0 |
|
num_examples: 13 |
|
- name: tabloids |
|
num_bytes: 9384343.0 |
|
num_examples: 2 |
|
- name: pen_pencils |
|
num_bytes: 937874666.0 |
|
num_examples: 288 |
|
- name: tooth_paste |
|
num_bytes: 992504555.0 |
|
num_examples: 334 |
|
- name: make_up |
|
num_bytes: 324344448.0 |
|
num_examples: 97 |
|
- name: worship_places |
|
num_bytes: 269510881.0 |
|
num_examples: 77 |
|
- name: cigarettes |
|
num_bytes: 124000767.0 |
|
num_examples: 30 |
|
- name: sheep |
|
num_bytes: 12738586.0 |
|
num_examples: 4 |
|
- name: cups_mugs_glasses |
|
num_bytes: 994285249.0 |
|
num_examples: 333 |
|
- name: baking_tools |
|
num_bytes: 2321733.0 |
|
num_examples: 1 |
|
- name: goats |
|
num_bytes: 94614657.0 |
|
num_examples: 24 |
|
- name: dish_washing_brush_cloth |
|
num_bytes: 1118661909.0 |
|
num_examples: 351 |
|
- name: plates |
|
num_bytes: 1033692373.0 |
|
num_examples: 342 |
|
- name: waste_dumps |
|
num_bytes: 484227664.0 |
|
num_examples: 127 |
|
- name: icons |
|
num_bytes: 47368214.0 |
|
num_examples: 188 |
|
- name: meat_or_fish |
|
num_bytes: 616043178.0 |
|
num_examples: 192 |
|
- name: wheel_barrow |
|
num_bytes: 201248243.0 |
|
num_examples: 45 |
|
- name: water_sources_for_doing_dishes |
|
num_bytes: 15657524.0 |
|
num_examples: 7 |
|
- name: soccer_balls |
|
num_bytes: 11121861.0 |
|
num_examples: 3 |
|
- name: wall_decoration |
|
num_bytes: 1133852833.0 |
|
num_examples: 352 |
|
- name: horses |
|
num_bytes: 7103900.0 |
|
num_examples: 3 |
|
- name: bed_kids |
|
num_bytes: 901139651.0 |
|
num_examples: 250 |
|
- name: contraceptives |
|
num_bytes: 56130849.0 |
|
num_examples: 25 |
|
- name: nicest_shoes |
|
num_bytes: 1178886748.0 |
|
num_examples: 350 |
|
- name: computer |
|
num_bytes: 552454079.0 |
|
num_examples: 186 |
|
- name: baby_powder |
|
num_bytes: 7773188.0 |
|
num_examples: 4 |
|
- name: family_snapshots |
|
num_bytes: 392643354.0 |
|
num_examples: 109 |
|
- name: moped_motorcycle |
|
num_bytes: 244103066.0 |
|
num_examples: 82 |
|
- name: most_loved_item |
|
num_bytes: 763492723.0 |
|
num_examples: 242 |
|
- name: menstruation_pads_tampax |
|
num_bytes: 400849572.0 |
|
num_examples: 125 |
|
- name: youth_culture |
|
num_bytes: 6899000.0 |
|
num_examples: 1 |
|
- name: baking_sheets |
|
num_bytes: 2760341.0 |
|
num_examples: 1 |
|
- name: tools |
|
num_bytes: 900850525.0 |
|
num_examples: 252 |
|
- name: grains |
|
num_bytes: 1066679345.0 |
|
num_examples: 319 |
|
- name: radio |
|
num_bytes: 534624094.0 |
|
num_examples: 164 |
|
- name: rug |
|
num_bytes: 720029591.0 |
|
num_examples: 193 |
|
- name: water_outlet |
|
num_bytes: 967359266.0 |
|
num_examples: 305 |
|
- name: milk_cows_or_bulls |
|
num_bytes: 19719273.0 |
|
num_examples: 6 |
|
- name: oven |
|
num_bytes: 408380446.0 |
|
num_examples: 142 |
|
- name: roof |
|
num_bytes: 983562313.0 |
|
num_examples: 302 |
|
- name: dish_washing_soap |
|
num_bytes: 1028112295.0 |
|
num_examples: 337 |
|
- name: smog_bad_air_breathing_protection |
|
num_bytes: 240117.0 |
|
num_examples: 2 |
|
- name: parking_lot |
|
num_bytes: 448364538.0 |
|
num_examples: 126 |
|
- name: paper |
|
num_bytes: 1595217257.0 |
|
num_examples: 505 |
|
- name: knifes |
|
num_bytes: 621867863.0 |
|
num_examples: 181 |
|
- name: wall_inside |
|
num_bytes: 1174096181.0 |
|
num_examples: 358 |
|
- name: snacks |
|
num_bytes: 37990707.0 |
|
num_examples: 11 |
|
- name: fishes |
|
num_bytes: 159058192.0 |
|
num_examples: 58 |
|
- name: frontdoor_keys |
|
num_bytes: 208792828.0 |
|
num_examples: 147 |
|
- name: photo_guide_images |
|
num_bytes: 215474454.0 |
|
num_examples: 75 |
|
- name: cutlery |
|
num_bytes: 926351889.0 |
|
num_examples: 301 |
|
- name: water_purifier_solutions |
|
num_bytes: 278055.0 |
|
num_examples: 2 |
|
- name: place_where_eating_dinner |
|
num_bytes: 1171010449.0 |
|
num_examples: 369 |
|
- name: front_door |
|
num_bytes: 2269861804.0 |
|
num_examples: 732 |
|
- name: family |
|
num_bytes: 1622349409.0 |
|
num_examples: 493 |
|
- name: home |
|
num_bytes: 1873360607.0 |
|
num_examples: 550 |
|
- name: latest_furniture_bought |
|
num_bytes: 325501347.0 |
|
num_examples: 107 |
|
- name: cooking |
|
num_bytes: 2251982244.0 |
|
num_examples: 679 |
|
- name: sources_of_drinking_water |
|
num_bytes: 3045397.0 |
|
num_examples: 8 |
|
- name: vegetables |
|
num_bytes: 1619243098.0 |
|
num_examples: 492 |
|
- name: everyday_shoes |
|
num_bytes: 1282284689.0 |
|
num_examples: 365 |
|
- name: elevators |
|
num_bytes: 3346981.0 |
|
num_examples: 3 |
|
- name: favorite_home_decorations |
|
num_bytes: 476751718.0 |
|
num_examples: 151 |
|
- name: wedding_photos |
|
num_bytes: 266849446.0 |
|
num_examples: 83 |
|
- name: bedroom |
|
num_bytes: 1383727529.0 |
|
num_examples: 399 |
|
- name: carrying_water |
|
num_bytes: 3082174.0 |
|
num_examples: 1 |
|
- name: rehabilitation_technology |
|
num_bytes: 10884034.0 |
|
num_examples: 8 |
|
- name: markets |
|
num_bytes: 35468731.0 |
|
num_examples: 8 |
|
- name: bike |
|
num_bytes: 536280770.0 |
|
num_examples: 149 |
|
- name: bed_hq |
|
num_bytes: 18768649.0 |
|
num_examples: 4 |
|
- name: mosquito_protection |
|
num_bytes: 541301592.0 |
|
num_examples: 163 |
|
- name: kitchen_sink |
|
num_bytes: 1077526669.0 |
|
num_examples: 334 |
|
- name: get_water |
|
num_bytes: 312942447.0 |
|
num_examples: 80 |
|
- name: hair_brush_comb |
|
num_bytes: 1069311270.0 |
|
num_examples: 331 |
|
- name: spices |
|
num_bytes: 1138126845.0 |
|
num_examples: 360 |
|
- name: most_loved_toy |
|
num_bytes: 766935172.0 |
|
num_examples: 238 |
|
- name: shaving |
|
num_bytes: 630435242.0 |
|
num_examples: 216 |
|
- name: teeth |
|
num_bytes: 908538754.0 |
|
num_examples: 326 |
|
- name: wall_clock |
|
num_bytes: 567309624.0 |
|
num_examples: 184 |
|
- name: drying |
|
num_bytes: 860669230.0 |
|
num_examples: 270 |
|
- name: soap_for_hands_and_body |
|
num_bytes: 1043814773.0 |
|
num_examples: 363 |
|
- name: transport_of_heavy_things |
|
num_bytes: 66846208.0 |
|
num_examples: 21 |
|
- name: horse_stables |
|
num_bytes: 2030907.0 |
|
num_examples: 1 |
|
- name: newspapers |
|
num_bytes: 25233082.0 |
|
num_examples: 7 |
|
- name: car_decorations |
|
num_bytes: 5448714.0 |
|
num_examples: 1 |
|
- name: toys |
|
num_bytes: 904248551.0 |
|
num_examples: 286 |
|
- name: cleaning_floors |
|
num_bytes: 422989995.0 |
|
num_examples: 124 |
|
- name: alcoholic_drinks |
|
num_bytes: 206764191.0 |
|
num_examples: 72 |
|
- name: cosmetics |
|
num_bytes: 362582452.0 |
|
num_examples: 123 |
|
- name: soccer_supporter_items |
|
num_bytes: 3500438.0 |
|
num_examples: 3 |
|
- name: bad_outdoor_air_obstructions |
|
num_bytes: 1141009.0 |
|
num_examples: 6 |
|
- name: social_drink |
|
num_bytes: 865071477.0 |
|
num_examples: 280 |
|
- name: cooking_utensils |
|
num_bytes: 1023598264.0 |
|
num_examples: 301 |
|
- name: skies_outside |
|
num_bytes: 3351593.0 |
|
num_examples: 7 |
|
- name: arm_watch |
|
num_bytes: 298661802.0 |
|
num_examples: 101 |
|
- name: guest_bed |
|
num_bytes: 504616118.0 |
|
num_examples: 164 |
|
- name: ingredients |
|
num_bytes: 17779940.0 |
|
num_examples: 3 |
|
- name: replaced |
|
num_bytes: 4438189.0 |
|
num_examples: 3 |
|
- name: power_outlet |
|
num_bytes: 875197741.0 |
|
num_examples: 298 |
|
- name: ventilation |
|
num_bytes: 24058628.0 |
|
num_examples: 10 |
|
- name: bills_of_money |
|
num_bytes: 11163171.0 |
|
num_examples: 2 |
|
- name: light_source_in_kitchen |
|
num_bytes: 883391525.0 |
|
num_examples: 304 |
|
- name: agriculture_land |
|
num_bytes: 237876904.0 |
|
num_examples: 53 |
|
- name: street_detail |
|
num_bytes: 1168591117.0 |
|
num_examples: 290 |
|
- name: light_sources |
|
num_bytes: 707637325.0 |
|
num_examples: 220 |
|
- name: ceiling |
|
num_bytes: 1154394188.0 |
|
num_examples: 362 |
|
- name: things_i_wish_i_had |
|
num_bytes: 13208034.0 |
|
num_examples: 5 |
|
- name: wall |
|
num_bytes: 3920557387.358 |
|
num_examples: 1154 |
|
- name: piercings |
|
num_bytes: 181157725.0 |
|
num_examples: 68 |
|
- name: vegetable_plot |
|
num_bytes: 283618018.0 |
|
num_examples: 71 |
|
- name: fields |
|
num_bytes: 5822273.0 |
|
num_examples: 1 |
|
- name: source_of_cool |
|
num_bytes: 786516004.0 |
|
num_examples: 250 |
|
- name: storage_room |
|
num_bytes: 772429217.0 |
|
num_examples: 225 |
|
- name: fruits_and_vegetables |
|
num_bytes: 664452138.0 |
|
num_examples: 210 |
|
- name: favourite_sports_clubs |
|
num_bytes: 135961086.0 |
|
num_examples: 46 |
|
- name: snack_stores |
|
num_bytes: 288627.0 |
|
num_examples: 1 |
|
- name: electricity_wires |
|
num_bytes: 2244483.0 |
|
num_examples: 1 |
|
- name: celebrity_posters |
|
num_bytes: 6966565.0 |
|
num_examples: 1 |
|
download_size: 7376078939 |
|
dataset_size: 134294971337.46701 |
|
--- |
|
# Dataset Card for "dollarstreet" |
|
|
|
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
