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+---
+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
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+    num_examples: 196
+  - name: coats_and_jackets
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+    num_examples: 26
+  - name: hand_palm
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+    num_examples: 357
+  - name: play_area
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+    num_examples: 216
+  - name: bed
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+    num_examples: 832
+  - name: car_keys
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+    num_examples: 58
+  - name: meat_markets
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+    num_examples: 1
+  - name: earings
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+  - name: hallway
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+  - name: salt
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+    num_examples: 240
+  - name: water_sources
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+    num_examples: 12
+  - name: chickens
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+    num_examples: 71
+  - name: toilet_paper
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+  - name: backyard
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+  - name: living_room
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+    num_examples: 279
+  - name: refrigerator
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+    num_examples: 262
+  - name: bathroom_privacy
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+  - name: nature_sceneries
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+  - name: plate_of_food
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+  - name: medication
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+  - name: pet
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+  - name: coins
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+  download_size: 7376078939
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+---
+# Dataset Card for "dollarstreet"
+
+[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)