|
--- |
|
configs: |
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- config_name: default |
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data_files: |
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- split: cups_mugs_glasses |
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path: data/cups_mugs_glasses-* |
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- split: street_detail |
|
path: data/street_detail-* |
|
- split: sheep |
|
path: data/sheep-* |
|
- split: bathroom_toilet |
|
path: data/bathroom_toilet-* |
|
- split: freezer |
|
path: data/freezer-* |
|
- split: baking_tables |
|
path: data/baking_tables-* |
|
- split: light_source_in_kitchen |
|
path: data/light_source_in_kitchen-* |
|
- split: work_area |
|
path: data/work_area-* |
|
- split: contraceptives |
|
path: data/contraceptives-* |
|
- split: coins |
|
path: data/coins-* |
|
- split: backyard |
|
path: data/backyard-* |
|
- split: bike |
|
path: data/bike-* |
|
- split: foodstores |
|
path: data/foodstores-* |
|
- split: toothbrush |
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path: data/toothbrush-* |
|
- split: cattle |
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path: data/cattle-* |
|
- split: most_played_songs_on_the_radio |
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path: data/most_played_songs_on_the_radio-* |
|
- split: plate_of_food |
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path: data/plate_of_food-* |
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- split: shaving |
|
path: data/shaving-* |
|
- split: car |
|
path: data/car-* |
|
- split: frontdoor_keys |
|
path: data/frontdoor_keys-* |
|
- split: goats |
|
path: data/goats-* |
|
- split: couch |
|
path: data/couch-* |
|
- split: lock_on_front_door |
|
path: data/lock_on_front_door-* |
|
- split: mosquito_protection |
|
path: data/mosquito_protection-* |
|
- split: plates |
|
path: data/plates-* |
|
- split: bad_outdoor_air_obstructions |
|
path: data/bad_outdoor_air_obstructions-* |
|
- split: ceiling |
|
path: data/ceiling-* |
|
- split: radio |
|
path: data/radio-* |
|
- split: bowls |
|
path: data/bowls-* |
|
- split: daylight_ostructions |
|
path: data/daylight_ostructions-* |
|
- split: kitchen_sink |
|
path: data/kitchen_sink-* |
|
- split: smoke_and_steam_exit |
|
path: data/smoke_and_steam_exit-* |
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- split: alcoholic_drinks |
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path: data/alcoholic_drinks-* |
|
- split: dish_racks |
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path: data/dish_racks-* |
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- split: thing_i_dream_about_having |
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path: data/thing_i_dream_about_having-* |
|
- split: next_big_thing_you_are_planning_to_buy |
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path: data/next_big_thing_you_are_planning_to_buy-* |
|
- split: surroundings |
|
path: data/surroundings-* |
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- split: skies_outside |
|
path: data/skies_outside-* |
|
- split: wall_ |
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path: data/wall_-* |
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- split: earings |
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path: data/earings-* |
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- split: bread_ready |
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path: data/bread_ready-* |
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- split: hand_back |
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path: data/hand_back-* |
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- split: dinner_guests |
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path: data/dinner_guests-* |
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- split: rug |
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path: data/rug-* |
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- split: cleaning_floors |
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path: data/cleaning_floors-* |
|
- split: paper |
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path: data/paper-* |
|
- split: moped_motorcycle |
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path: data/moped_motorcycle-* |
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- split: waste_dumps |
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path: data/waste_dumps-* |
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- split: snacks |
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path: data/snacks-* |
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- split: soccer_balls |
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path: data/soccer_balls-* |
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- split: get_water |
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path: data/get_water-* |
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- split: source_of_cool |
|
path: data/source_of_cool-* |
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- split: hand_palm |
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path: data/hand_palm-* |
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- split: cigarettes |
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path: data/cigarettes-* |
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- split: drinks |
|
path: data/drinks-* |
|
- split: chickens |
|
path: data/chickens-* |
|
- split: tattoos |
|
path: data/tattoos-* |
|
- split: home |
|
path: data/home-* |
|
- split: place_where_serving_guests |
|
path: data/place_where_serving_guests-* |
|
- split: smog_bad_air_breathing_protection |
|
path: data/smog_bad_air_breathing_protection-* |
|
- split: roof |
|
path: data/roof-* |
|
- split: family_snapshots |
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path: data/family_snapshots-* |
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- split: carrying_water |
|
path: data/carrying_water-* |
|
- split: hand_washing |
|
path: data/hand_washing-* |
|
- split: horses |
|
path: data/horses-* |
|
- split: medication |
|
path: data/medication-* |
|
- split: dish_washing_brush_cloth |
|
path: data/dish_washing_brush_cloth-* |
|
- split: nicest_shoes |
|
path: data/nicest_shoes-* |
|
- split: water_outlet |
|
path: data/water_outlet-* |
|
- split: tv |
|
path: data/tv-* |
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- split: air_fresheners_scents |
|
path: data/air_fresheners_scents-* |
|
- split: portraits |
|
path: data/portraits-* |
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- split: celebrity_posters |
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path: data/celebrity_posters-* |
|
- split: boat |
|
path: data/boat-* |
|
- split: trash_waste |
|
path: data/trash_waste-* |
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- split: shower |
|
path: data/shower-* |
|
- split: front_door |
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path: data/front_door-* |
|
- split: electric_wires |
|
path: data/electric_wires-* |
|
- split: photo_guide_images |
|
path: data/photo_guide_images-* |
|
- split: meat_markets |
|
path: data/meat_markets-* |
|
- split: cooking_utensils |
|
path: data/cooking_utensils-* |
|
- split: fishes |
|
path: data/fishes-* |
|
- split: stove_hob |
|
path: data/stove_hob-* |
|
- split: water_sources_for_doing_dishes |
|
path: data/water_sources_for_doing_dishes-* |
|
- split: parking_lot |
|
path: data/parking_lot-* |
|
- split: spices |
|
path: data/spices-* |
|
- split: water_sources |
|
path: data/water_sources-* |
|
- split: pet_foods |
|
path: data/pet_foods-* |
|
- split: milk_cows_or_bulls |
|
path: data/milk_cows_or_bulls-* |
|
- split: vegetable_markets |
|
path: data/vegetable_markets-* |
|
- split: wall_decoration |
|
path: data/wall_decoration-* |
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- split: hair_brush_comb |
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path: data/hair_brush_comb-* |
|
- split: meat_storages |
|
path: data/meat_storages-* |
|
- split: bedroom |
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path: data/bedroom-* |
|
- split: cooking_pots |
|
path: data/cooking_pots-* |
|
- split: music_equipment |
|
path: data/music_equipment-* |
|
- split: arm_watch |
|
path: data/arm_watch-* |
|
- split: rehabilitation_technology |
|
path: data/rehabilitation_technology-* |
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- split: elevators |
|
path: data/elevators-* |
|
- split: cleaning_after_toilet |
|
path: data/cleaning_after_toilet-* |
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- split: storage_room |
|
path: data/storage_room-* |
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- split: bread_bowls |
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path: data/bread_bowls-* |
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- split: refrigerator |
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path: data/refrigerator-* |
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- split: dish_washing_soap |
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path: data/dish_washing_soap-* |
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- split: bed |
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path: data/bed-* |
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- split: horse_stables |
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path: data/horse_stables-* |
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- split: oven |
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path: data/oven-* |
|
- split: jewelry |
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path: data/jewelry-* |
|
- split: bed_kids |
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path: data/bed_kids-* |
|
- split: wedding_photos |
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path: data/wedding_photos-* |
|
- split: children_room |
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path: data/children_room-* |
|
- split: wall_clock |
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path: data/wall_clock-* |
|
- split: living_room |
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path: data/living_room-* |
|
- split: cleaning_equipment |
|
path: data/cleaning_equipment-* |
|
- split: baking_sheets |
|
path: data/baking_sheets-* |
|
- split: make_up |
|
path: data/make_up-* |
|
- split: soap_for_hands_and_body |
|
path: data/soap_for_hands_and_body-* |
|
- split: toys |
|
path: data/toys-* |
|
- split: agriculture_land |
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path: data/agriculture_land-* |
|
- split: clothes |
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path: data/clothes-* |
|
- split: guest_bed |
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path: data/guest_bed-* |
|
- split: fishing_equipment |
|
path: data/fishing_equipment-* |
|
- split: ventilation |
|
path: data/ventilation-* |
|
- split: knifes |
|
path: data/knifes-* |
|
- split: necklaces |
|
path: data/necklaces-* |
|
- split: most_loved_toy |
|
path: data/most_loved_toy-* |
|
- split: armchair |
|
path: data/armchair-* |
|
- split: bed_hq |
|
path: data/bed_hq-* |
|
- split: air_cleaning_equipments |
|
path: data/air_cleaning_equipments-* |
|
- split: everyday_shoes |
|
path: data/everyday_shoes-* |
|
- split: instrument |
|
path: data/instrument-* |
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- split: social_drink |
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path: data/social_drink-* |
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- split: drinking_water |
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path: data/drinking_water-* |
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- split: newspapers |
|
path: data/newspapers-* |
|
- split: washing_detergent |
|
path: data/washing_detergent-* |
|
- split: transport_of_heavy_things |
|
path: data/transport_of_heavy_things-* |
|
- split: floor |
|
path: data/floor-* |
|
- split: hallway |
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path: data/hallway-* |
|
- split: salt |
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path: data/salt-* |
|
- split: pen_pencils |
|
path: data/pen_pencils-* |
|
- split: cooking |
|
path: data/cooking-* |
|
- split: visit |
|
path: data/visit-* |
|
- split: cosmetics |
|
path: data/cosmetics-* |
|
- split: latest_furniture_bought |
|
path: data/latest_furniture_bought-* |
|
- split: play_area |
|
path: data/play_area-* |
|
- split: soccer_supporter_items |
|
path: data/soccer_supporter_items-* |
|
- split: water_purifier_solutions |
|
path: data/water_purifier_solutions-* |
|
- split: snack_stores |
|
path: data/snack_stores-* |
|
- split: wall |
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path: data/wall-* |
|
- split: sitting_area |
|
path: data/sitting_area-* |
|
- split: wheel_barrow |
|
path: data/wheel_barrow-* |
|
- split: car_decorations |
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path: data/car_decorations-* |
|
- split: markets |
|
path: data/markets-* |
|
- split: fields |
|
path: data/fields-* |
|
- split: replaced |
|
path: data/replaced-* |
|
- split: wardrobe |
|
path: data/wardrobe-* |
|
- split: tooth_paste |
|
path: data/tooth_paste-* |
|
- split: worship_places |
|
path: data/worship_places-* |
|
- split: source_of_heat |
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path: data/source_of_heat-* |
|
- split: toilet |
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path: data/toilet-* |
|
- split: piercings |
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path: data/piercings-* |
|
- split: baking_tools |
|
path: data/baking_tools-* |
|
- split: lightsources_by_bed |
|
path: data/lightsources_by_bed-* |
|
- split: light_source_in_livingroom |
|
path: data/light_source_in_livingroom-* |
|
- split: favourite_sports_clubs |
|
path: data/favourite_sports_clubs-* |
|
- split: tabloids |
|
path: data/tabloids-* |
|
- split: books |
|
path: data/books-* |
|
- split: menstruation_pads_tampax |
|
path: data/menstruation_pads_tampax-* |
|
- split: power_outlet |
|
path: data/power_outlet-* |
|
- split: toilet_paper |
|
path: data/toilet_paper-* |
|
- split: arm_watches |
|
path: data/arm_watches-* |
|
- split: electricity_wires |
|
path: data/electricity_wires-* |
|
- split: wall_inside |
|
path: data/wall_inside-* |
|
- split: computer |
|
path: data/computer-* |
|
- split: meat_or_fish |
|
path: data/meat_or_fish-* |
|
- split: sources_of_drinking_water |
|
path: data/sources_of_drinking_water-* |
|
- split: kitchen |
|
path: data/kitchen-* |
|
- split: ingredients |
|
path: data/ingredients-* |
|
- split: baby_powder |
|
path: data/baby_powder-* |
|
- split: bathroom_privacy |
|
path: data/bathroom_privacy-* |
|
- split: vegetable_plot |
|
path: data/vegetable_plot-* |
|
- split: car_keys |
|
path: data/car_keys-* |
|
- split: icons |
|
path: data/icons-* |
|
- split: favorite_home_decorations |
|
path: data/favorite_home_decorations-* |
|
- split: tractors |
|
path: data/tractors-* |
|
- split: bills_of_money |
|
path: data/bills_of_money-* |
|
- split: cutlery |
|
path: data/cutlery-* |
|
- split: family |
|
path: data/family-* |
|
- split: teeth |
|
path: data/teeth-* |
|
- split: place_where_eating_dinner |
|
path: data/place_where_eating_dinner-* |
|
- split: grains |
|
path: data/grains-* |
|
- split: washing_clothes_cleaning |
|
path: data/washing_clothes_cleaning-* |
|
- split: fruits_and_vegetables |
|
path: data/fruits_and_vegetables-* |
|
- split: light_sources |
|
path: data/light_sources-* |
|
- split: tools |
|
path: data/tools-* |
|
- split: drying |
|
path: data/drying-* |
|
- split: street_view |
|
path: data/street_view-* |
|
- split: phone |
|
path: data/phone-* |
|
- split: idols |
|
path: data/idols-* |
|
- split: pet |
|
path: data/pet-* |
|
- split: other_transport |
|
path: data/other_transport-* |
|
- split: most_loved_item |
|
path: data/most_loved_item-* |
|
- split: glasses_or_lenses |
|
path: data/glasses_or_lenses-* |
|
- split: things_i_wish_i_had |
|
path: data/things_i_wish_i_had-* |
|
- split: table_with_food |
|
path: data/table_with_food-* |
|
- split: youth_culture |
|
path: data/youth_culture-* |
|
- split: equipment |
|
path: data/equipment-* |
|
- split: shoes |
|
path: data/shoes-* |
|
- split: coats_and_jackets |
|
path: data/coats_and_jackets-* |
|
- split: dishwasher |
|
path: data/dishwasher-* |
|
- split: vegetables |
|
path: data/vegetables-* |
|
- split: fruit_trees |
|
path: data/fruit_trees-* |
|
- split: nature_sceneries |
|
path: data/nature_sceneries-* |
|
- split: shampoo |
|
path: data/shampoo-* |
|
- split: switch_on_off |
|
path: data/switch_on_off-* |
|
- split: playgrounds |
|
path: data/playgrounds-* |
|
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: cups_mugs_glasses |
|
num_bytes: 994285249.0 |
|
num_examples: 333 |
|
- name: street_detail |
|
num_bytes: 1168591117.0 |
|
num_examples: 290 |
|
- name: sheep |
|
num_bytes: 12738586.0 |
|
num_examples: 4 |
|
- name: bathroom_toilet |
|
num_bytes: 1129143553.0 |
|
num_examples: 350 |
|
- name: freezer |
|
num_bytes: 515874223.0 |
|
num_examples: 187 |
|
- name: baking_tables |
|
num_bytes: 3017644.0 |
|
num_examples: 1 |
|
- name: light_source_in_kitchen |
|
num_bytes: 883391525.0 |
|
num_examples: 304 |
|
- name: work_area |
|
num_bytes: 527291086.0 |
|
num_examples: 168 |
|
- name: contraceptives |
|
num_bytes: 56130849.0 |
|
num_examples: 25 |
|
- name: coins |
|
num_bytes: 4296291.0 |
|
num_examples: 1 |
|
- name: backyard |
|
num_bytes: 834683499.0 |
|
num_examples: 208 |
|
- name: bike |
|
num_bytes: 536280770.0 |
|
num_examples: 149 |
|
- name: foodstores |
|
num_bytes: 17300865.0 |
|
num_examples: 3 |
|
- name: toothbrush |
|
num_bytes: 1119100599.0 |
|
num_examples: 379 |
|
- name: cattle |
|
num_bytes: 33022033.0 |
|
num_examples: 12 |
|
- name: most_played_songs_on_the_radio |
|
num_bytes: 2804770.0 |
|
num_examples: 1 |
|
- name: plate_of_food |
|
num_bytes: 965241961.0 |
|
num_examples: 298 |
|
- name: shaving |
|
num_bytes: 630435242.0 |
|
num_examples: 216 |
|
- name: car |
|
num_bytes: 356818254.0 |
|
num_examples: 154 |
|
- name: frontdoor_keys |
|
num_bytes: 208792828.0 |
|
num_examples: 147 |
|
- name: goats |
|
num_bytes: 94614657.0 |
|
num_examples: 24 |
|
- name: couch |
|
num_bytes: 1038410012.0 |
|
num_examples: 306 |
|
- name: lock_on_front_door |
|
num_bytes: 1099656984.0 |
|
num_examples: 362 |
|
- name: mosquito_protection |
|
num_bytes: 541301592.0 |
|
num_examples: 163 |
|
- name: plates |
|
num_bytes: 1033692373.0 |
|
num_examples: 342 |
|
- name: bad_outdoor_air_obstructions |
|
num_bytes: 1141009.0 |
|
num_examples: 6 |
|
- name: ceiling |
|
num_bytes: 1154394188.0 |
|
num_examples: 362 |
|
- name: radio |
|
num_bytes: 534624094.0 |
|
num_examples: 164 |
|
- name: bowls |
|
num_bytes: 69506612.0 |
|
num_examples: 24 |
|
- name: daylight_ostructions |
|
num_bytes: 2457632.0 |
|
num_examples: 6 |
|
- name: kitchen_sink |
|
num_bytes: 1077526669.0 |
|
num_examples: 334 |
|
- name: smoke_and_steam_exit |
|
num_bytes: 735515901.0 |
|
num_examples: 233 |
|
- name: alcoholic_drinks |
|
num_bytes: 206764191.0 |
|
num_examples: 72 |
|
- name: dish_racks |
|
num_bytes: 1070639074.0 |
|
num_examples: 336 |
|
- name: thing_i_dream_about_having |
|
num_bytes: 472486186.0 |
|
num_examples: 159 |
|
- name: next_big_thing_you_are_planning_to_buy |
|
num_bytes: 426843198.0 |
|
num_examples: 153 |
|
- name: surroundings |
|
num_bytes: 60100849.0 |
|
num_examples: 13 |
|
- name: skies_outside |
|
num_bytes: 3351593.0 |
|
num_examples: 7 |
|
- name: wall_ |
|
num_bytes: 2818789640.0 |
|
num_examples: 877 |
|
- name: earings |
|
num_bytes: 395054544.0 |
|
num_examples: 136 |
|
- name: bread_ready |
|
num_bytes: 17031177.0 |
|
num_examples: 4 |
|
- name: hand_back |
|
num_bytes: 1091816070.0 |
|
num_examples: 358 |
|
- name: dinner_guests |
|
num_bytes: 142874232.0 |
|
num_examples: 48 |
|
- name: rug |
|
num_bytes: 720029591.0 |
|
num_examples: 193 |
|
- name: cleaning_floors |
|
num_bytes: 422989995.0 |
|
num_examples: 124 |
|
- name: paper |
|
num_bytes: 1595217257.0 |
|
num_examples: 505 |
|
- name: moped_motorcycle |
|
num_bytes: 244103066.0 |
|
num_examples: 82 |
|
- name: waste_dumps |
|
num_bytes: 484227664.0 |
|
num_examples: 127 |
|
- name: snacks |
|
num_bytes: 37990707.0 |
|
num_examples: 11 |
|
- name: soccer_balls |
|
num_bytes: 11121861.0 |
|
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download_size: 17029671 |
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dataset_size: 134309090433.467 |
|
--- |
|
# Dataset Card for "dollarstreet" |
|
|
|
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
