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README.md
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configs:
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- config_name: default
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data_files:
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-
- split:
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-
path: data/
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- split:
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path: data/
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- split:
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path: data/
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-
- split:
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-
path: data/
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-
- split: dinner_guests
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-
path: data/dinner_guests-*
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-
- split: idols
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-
path: data/idols-*
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- split: freezer
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path: data/freezer-*
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-
- split: hand_washing
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path: data/hand_washing-*
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-
- split: lock_on_front_door
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path: data/lock_on_front_door-*
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-
- split: children_room
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path: data/children_room-*
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-
- split: coats_and_jackets
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path: data/coats_and_jackets-*
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-
- split: hand_palm
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path: data/hand_palm-*
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-
- split: play_area
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path: data/play_area-*
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-
- split: bed
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path: data/bed-*
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-
- split: car_keys
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-
path: data/car_keys-*
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-
- split: meat_markets
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path: data/meat_markets-*
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-
- split: earings
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path: data/earings-*
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-
- split: hallway
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path: data/hallway-*
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-
- split: salt
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path: data/salt-*
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- split: cleaning_equipment
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path: data/cleaning_equipment-*
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-
- split: water_sources
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path: data/water_sources-*
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- split: chickens
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path: data/chickens-*
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- split: toilet_paper
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path: data/toilet_paper-*
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-
- split: backyard
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path: data/backyard-*
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-
- split: living_room
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path: data/living_room-*
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-
- split: refrigerator
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path: data/refrigerator-*
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-
- split: bathroom_privacy
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path: data/bathroom_privacy-*
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-
- split: next_big_thing_you_are_planning_to_buy
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path: data/next_big_thing_you_are_planning_to_buy-*
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- split: nature_sceneries
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path: data/nature_sceneries-*
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- split: bread_bowls
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path: data/bread_bowls-*
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- split: portraits
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path: data/portraits-*
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- split: boat
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path: data/boat-*
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- split: books
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path: data/books-*
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- split: necklaces
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path: data/necklaces-*
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- split: plate_of_food
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path: data/plate_of_food-*
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- split: place_where_serving_guests
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path: data/place_where_serving_guests-*
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- split: medication
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path: data/medication-*
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- split: meat_storages
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path: data/meat_storages-*
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-
- split: hand_back
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path: data/hand_back-*
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-
- split: kitchen
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path: data/kitchen-*
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-
- split: stove_hob
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path: data/stove_hob-*
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-
- split: jewelry
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path: data/jewelry-*
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-
- split: sitting_area
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path: data/sitting_area-*
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-
- split: cattle
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path: data/cattle-*
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- split: source_of_heat
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path: data/source_of_heat-*
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- split: drinks
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path: data/drinks-*
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- split: bowls
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path: data/bowls-*
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- split: tractors
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path: data/tractors-*
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- split: shampoo
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path: data/shampoo-*
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- split: toilet
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path: data/toilet-*
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- split: baking_tables
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path: data/baking_tables-*
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- split:
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path: data/
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- split: arm_watches
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path: data/arm_watches-*
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- split: armchair
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path: data/armchair-*
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- split: shower
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path: data/shower-*
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- split: visit
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path: data/visit-*
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- split: music_equipment
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path: data/music_equipment-*
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- split: bathroom_toilet
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path: data/bathroom_toilet-*
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-
- split: electric_wires
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path: data/electric_wires-*
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- split: cooking_pots
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path: data/cooking_pots-*
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-
- split: other_transport
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path: data/other_transport-*
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- split: daylight_ostructions
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path: data/daylight_ostructions-*
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- split: bread_ready
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path: data/bread_ready-*
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- split: work_area
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path: data/work_area-*
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- split:
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path: data/
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- split:
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path: data/
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- split:
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path: data/
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- split:
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path: data/
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- split: foodstores
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path: data/foodstores-*
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- split:
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path: data/
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- split:
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path: data/
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- split: couch
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path: data/couch-*
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- split: thing_i_dream_about_having
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path: data/thing_i_dream_about_having-*
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- split: glasses_or_lenses
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path: data/glasses_or_lenses-*
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- split: instrument
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path: data/instrument-*
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- split: vegetable_markets
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path: data/vegetable_markets-*
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- split: washing_clothes_cleaning
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path: data/washing_clothes_cleaning-*
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- split: most_played_songs_on_the_radio
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path: data/most_played_songs_on_the_radio-*
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- split:
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path: data/
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- split: car
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path: data/car-*
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- split:
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path: data/
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- split:
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path: data/
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- split:
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path: data/
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- split: smoke_and_steam_exit
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path: data/smoke_and_steam_exit-*
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- split:
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path: data/
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- split: air_cleaning_equipments
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path: data/air_cleaning_equipments-*
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- split: tv
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path: data/tv-*
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- split: lightsources_by_bed
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path: data/lightsources_by_bed-*
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- split: wall_
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path: data/wall_-*
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- split: floor
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path: data/floor-*
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- split: clothes
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path: data/clothes-*
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- split: tattoos
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path: data/tattoos-*
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- split: toothbrush
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path: data/toothbrush-*
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- split: trash_waste
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path: data/trash_waste-*
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- split: light_source_in_livingroom
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path: data/light_source_in_livingroom-*
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- split: dish_racks
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path: data/dish_racks-*
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- split:
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path: data/
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- split:
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path: data/
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- split: surroundings
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path: data/surroundings-*
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- split:
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path: data/
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- split:
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path: data/
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path: data/
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path: data/
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path: data/
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path: data/
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path: data/
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- split:
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path: data/
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- split: dish_washing_brush_cloth
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path: data/dish_washing_brush_cloth-*
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- split: plates
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path: data/plates-*
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- split: waste_dumps
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path: data/waste_dumps-*
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- split:
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path: data/
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- split: meat_or_fish
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path: data/meat_or_fish-*
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- split: wheel_barrow
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path: data/wheel_barrow-*
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- split: water_sources_for_doing_dishes
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path: data/water_sources_for_doing_dishes-*
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- split: soccer_balls
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path: data/soccer_balls-*
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- split:
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path: data/
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- split: horses
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path: data/horses-*
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- split:
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path: data/
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- split:
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path: data/
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- split: nicest_shoes
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path: data/nicest_shoes-*
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- split: computer
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path: data/computer-*
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- split: baby_powder
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path: data/baby_powder-*
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- split: family_snapshots
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path: data/family_snapshots-*
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- split: moped_motorcycle
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path: data/moped_motorcycle-*
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- split: most_loved_item
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path: data/most_loved_item-*
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- split: menstruation_pads_tampax
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path: data/menstruation_pads_tampax-*
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- split: youth_culture
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path: data/youth_culture-*
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- split: baking_sheets
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path: data/baking_sheets-*
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- split: tools
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path: data/tools-*
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- split: grains
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path: data/grains-*
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- split: radio
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path: data/radio-*
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- split: rug
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path: data/rug-*
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- split: water_outlet
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path: data/water_outlet-*
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- split:
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path: data/
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path: data/
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path: data/
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path: data/
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path: data/
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- split: knifes
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path: data/knifes-*
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- split: wall_inside
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path: data/wall_inside-*
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- split: snacks
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path: data/snacks-*
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- split: fishes
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path: data/fishes-*
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- split: frontdoor_keys
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path: data/frontdoor_keys-*
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- split: photo_guide_images
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path: data/photo_guide_images-*
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- split: cutlery
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path: data/cutlery-*
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- split: water_purifier_solutions
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path: data/water_purifier_solutions-*
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- split: place_where_eating_dinner
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path: data/place_where_eating_dinner-*
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- split: front_door
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path: data/front_door-*
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- split:
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path: data/
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path: data/
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- split: bedroom
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path: data/bedroom-*
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path: data/
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- split: rehabilitation_technology
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path: data/rehabilitation_technology-*
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path: data/
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path: data/
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- split: spices
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path: data/spices-*
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- split: most_loved_toy
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path: data/most_loved_toy-*
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- split: shaving
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path: data/shaving-*
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- split: teeth
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path: data/teeth-*
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- split: wall_clock
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path: data/wall_clock-*
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- split: drying
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path: data/drying-*
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- split: soap_for_hands_and_body
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path: data/soap_for_hands_and_body-*
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- split: transport_of_heavy_things
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path: data/transport_of_heavy_things-*
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- split: horse_stables
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path: data/horse_stables-*
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path: data/
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| 377 |
- split: cosmetics
|
| 378 |
path: data/cosmetics-*
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| 379 |
- split: soccer_supporter_items
|
| 380 |
path: data/soccer_supporter_items-*
|
| 381 |
-
- split:
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| 382 |
-
path: data/
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| 383 |
-
- split:
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| 384 |
-
path: data/
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| 385 |
-
- split:
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-
path: data/
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| 387 |
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| 388 |
-
path: data/
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| 389 |
-
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-
path: data/
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| 391 |
-
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-
path: data/
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| 393 |
-
- split:
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| 394 |
-
path: data/
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| 395 |
- split: replaced
|
| 396 |
path: data/replaced-*
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| 397 |
- split: power_outlet
|
| 398 |
path: data/power_outlet-*
|
| 399 |
-
- split:
|
| 400 |
-
path: data/
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| 401 |
- split: bills_of_money
|
| 402 |
path: data/bills_of_money-*
|
| 403 |
-
- split:
|
| 404 |
-
path: data/
|
| 405 |
-
- split:
|
| 406 |
-
path: data/
|
| 407 |
-
- split:
|
| 408 |
-
path: data/
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|
| 409 |
- split: light_sources
|
| 410 |
path: data/light_sources-*
|
| 411 |
-
- split:
|
| 412 |
-
path: data/
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|
| 413 |
- split: things_i_wish_i_had
|
| 414 |
path: data/things_i_wish_i_had-*
|
| 415 |
-
- split:
|
| 416 |
-
path: data/
|
| 417 |
-
- split:
|
| 418 |
-
path: data/
|
| 419 |
-
- split:
|
| 420 |
-
path: data/
|
| 421 |
-
- split:
|
| 422 |
-
path: data/
|
| 423 |
-
- split:
|
| 424 |
-
path: data/
|
| 425 |
-
- split:
|
| 426 |
-
path: data/
|
| 427 |
-
- split:
|
| 428 |
-
path: data/
|
| 429 |
-
- split:
|
| 430 |
-
path: data/
|
| 431 |
-
- split:
|
| 432 |
-
path: data/
|
| 433 |
-
- split:
|
| 434 |
-
path: data/
|
| 435 |
-
- split:
|
| 436 |
-
path: data/
|
|
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|
| 437 |
dataset_info:
|
| 438 |
features:
|
| 439 |
- name: id
|
|
@@ -455,656 +455,656 @@ dataset_info:
|
|
| 455 |
- name: income
|
| 456 |
dtype: string
|
| 457 |
splits:
|
| 458 |
-
- name:
|
| 459 |
-
num_bytes:
|
| 460 |
-
num_examples:
|
| 461 |
-
- name:
|
| 462 |
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num_bytes:
|
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num_examples:
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| 464 |
-
- name:
|
| 465 |
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num_bytes:
|
| 466 |
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num_examples:
|
| 467 |
-
- name:
|
| 468 |
-
num_bytes:
|
| 469 |
-
num_examples:
|
| 470 |
-
- name: dinner_guests
|
| 471 |
-
num_bytes: 142874232.0
|
| 472 |
-
num_examples: 48
|
| 473 |
-
- name: idols
|
| 474 |
-
num_bytes: 204194164.0
|
| 475 |
-
num_examples: 65
|
| 476 |
- name: freezer
|
| 477 |
num_bytes: 515874223.0
|
| 478 |
num_examples: 187
|
| 479 |
-
- name: hand_washing
|
| 480 |
-
num_bytes: 1060102199.0
|
| 481 |
-
num_examples: 347
|
| 482 |
-
- name: lock_on_front_door
|
| 483 |
-
num_bytes: 1099656984.0
|
| 484 |
-
num_examples: 362
|
| 485 |
-
- name: children_room
|
| 486 |
-
num_bytes: 677706326.0
|
| 487 |
-
num_examples: 196
|
| 488 |
-
- name: coats_and_jackets
|
| 489 |
-
num_bytes: 60417863.0
|
| 490 |
-
num_examples: 26
|
| 491 |
-
- name: hand_palm
|
| 492 |
-
num_bytes: 1045670614.0
|
| 493 |
-
num_examples: 357
|
| 494 |
-
- name: play_area
|
| 495 |
-
num_bytes: 807546710.0
|
| 496 |
-
num_examples: 216
|
| 497 |
-
- name: bed
|
| 498 |
-
num_bytes: 2798532320.0
|
| 499 |
-
num_examples: 832
|
| 500 |
-
- name: car_keys
|
| 501 |
-
num_bytes: 58358512.0
|
| 502 |
-
num_examples: 58
|
| 503 |
-
- name: meat_markets
|
| 504 |
-
num_bytes: 4634793.0
|
| 505 |
-
num_examples: 1
|
| 506 |
-
- name: earings
|
| 507 |
-
num_bytes: 395054544.0
|
| 508 |
-
num_examples: 136
|
| 509 |
-
- name: hallway
|
| 510 |
-
num_bytes: 126639302.0
|
| 511 |
-
num_examples: 49
|
| 512 |
-
- name: salt
|
| 513 |
-
num_bytes: 997626560.0
|
| 514 |
-
num_examples: 343
|
| 515 |
-
- name: cleaning_equipment
|
| 516 |
-
num_bytes: 808855439.0
|
| 517 |
-
num_examples: 240
|
| 518 |
-
- name: water_sources
|
| 519 |
-
num_bytes: 39337550.0
|
| 520 |
-
num_examples: 12
|
| 521 |
-
- name: chickens
|
| 522 |
-
num_bytes: 271724783.0
|
| 523 |
-
num_examples: 71
|
| 524 |
-
- name: toilet_paper
|
| 525 |
-
num_bytes: 908650830.0
|
| 526 |
-
num_examples: 294
|
| 527 |
-
- name: backyard
|
| 528 |
-
num_bytes: 834683499.0
|
| 529 |
-
num_examples: 208
|
| 530 |
-
- name: living_room
|
| 531 |
-
num_bytes: 976352363.0
|
| 532 |
-
num_examples: 279
|
| 533 |
-
- name: refrigerator
|
| 534 |
-
num_bytes: 704561864.0
|
| 535 |
-
num_examples: 262
|
| 536 |
-
- name: bathroom_privacy
|
| 537 |
-
num_bytes: 898900810.0
|
| 538 |
-
num_examples: 283
|
| 539 |
-
- name: next_big_thing_you_are_planning_to_buy
|
| 540 |
-
num_bytes: 426843198.0
|
| 541 |
-
num_examples: 153
|
| 542 |
-
- name: nature_sceneries
|
| 543 |
-
num_bytes: 9080831.0
|
| 544 |
-
num_examples: 3
|
| 545 |
-
- name: bread_bowls
|
| 546 |
-
num_bytes: 4171755.0
|
| 547 |
-
num_examples: 1
|
| 548 |
-
- name: portraits
|
| 549 |
-
num_bytes: 27532067.0
|
| 550 |
-
num_examples: 9
|
| 551 |
-
- name: boat
|
| 552 |
-
num_bytes: 23087642.0
|
| 553 |
-
num_examples: 5
|
| 554 |
-
- name: books
|
| 555 |
-
num_bytes: 1045990947.0
|
| 556 |
-
num_examples: 315
|
| 557 |
-
- name: necklaces
|
| 558 |
-
num_bytes: 468137237.0
|
| 559 |
-
num_examples: 139
|
| 560 |
-
- name: plate_of_food
|
| 561 |
-
num_bytes: 965241961.0
|
| 562 |
-
num_examples: 298
|
| 563 |
-
- name: place_where_serving_guests
|
| 564 |
-
num_bytes: 452285557.0
|
| 565 |
-
num_examples: 147
|
| 566 |
-
- name: medication
|
| 567 |
-
num_bytes: 935436600.0
|
| 568 |
-
num_examples: 291
|
| 569 |
-
- name: meat_storages
|
| 570 |
-
num_bytes: 5019867.0
|
| 571 |
-
num_examples: 2
|
| 572 |
-
- name: hand_back
|
| 573 |
-
num_bytes: 1091816070.0
|
| 574 |
-
num_examples: 358
|
| 575 |
-
- name: kitchen
|
| 576 |
-
num_bytes: 3049589855.0
|
| 577 |
-
num_examples: 967
|
| 578 |
-
- name: stove_hob
|
| 579 |
-
num_bytes: 1175724856.0
|
| 580 |
-
num_examples: 381
|
| 581 |
-
- name: jewelry
|
| 582 |
-
num_bytes: 566520264.0
|
| 583 |
-
num_examples: 189
|
| 584 |
-
- name: sitting_area
|
| 585 |
-
num_bytes: 1008819886.0
|
| 586 |
-
num_examples: 299
|
| 587 |
-
- name: cattle
|
| 588 |
-
num_bytes: 33022033.0
|
| 589 |
-
num_examples: 12
|
| 590 |
-
- name: source_of_heat
|
| 591 |
-
num_bytes: 453347786.0
|
| 592 |
-
num_examples: 145
|
| 593 |
-
- name: drinks
|
| 594 |
-
num_bytes: 218115579.0
|
| 595 |
-
num_examples: 75
|
| 596 |
-
- name: bowls
|
| 597 |
-
num_bytes: 69506612.0
|
| 598 |
-
num_examples: 24
|
| 599 |
-
- name: tractors
|
| 600 |
-
num_bytes: 8786272.0
|
| 601 |
-
num_examples: 1
|
| 602 |
-
- name: shampoo
|
| 603 |
-
num_bytes: 1009790811.0
|
| 604 |
-
num_examples: 339
|
| 605 |
-
- name: toilet
|
| 606 |
-
num_bytes: 2922917220.0
|
| 607 |
-
num_examples: 943
|
| 608 |
- name: baking_tables
|
| 609 |
num_bytes: 3017644.0
|
| 610 |
num_examples: 1
|
| 611 |
-
- name:
|
| 612 |
-
num_bytes:
|
| 613 |
-
num_examples:
|
| 614 |
-
- name: arm_watches
|
| 615 |
-
num_bytes: 55557790.0
|
| 616 |
-
num_examples: 30
|
| 617 |
-
- name: armchair
|
| 618 |
-
num_bytes: 1116948741.0
|
| 619 |
-
num_examples: 332
|
| 620 |
-
- name: shower
|
| 621 |
-
num_bytes: 995696782.0
|
| 622 |
-
num_examples: 329
|
| 623 |
-
- name: visit
|
| 624 |
-
num_bytes: 4464796725.109
|
| 625 |
-
num_examples: 1321
|
| 626 |
-
- name: music_equipment
|
| 627 |
-
num_bytes: 517230560.0
|
| 628 |
-
num_examples: 172
|
| 629 |
-
- name: bathroom_toilet
|
| 630 |
-
num_bytes: 1129143553.0
|
| 631 |
-
num_examples: 350
|
| 632 |
-
- name: electric_wires
|
| 633 |
-
num_bytes: 8854810.0
|
| 634 |
-
num_examples: 2
|
| 635 |
-
- name: cooking_pots
|
| 636 |
-
num_bytes: 1263802321.0
|
| 637 |
-
num_examples: 384
|
| 638 |
-
- name: other_transport
|
| 639 |
-
num_bytes: 20219867.0
|
| 640 |
-
num_examples: 5
|
| 641 |
-
- name: daylight_ostructions
|
| 642 |
-
num_bytes: 2457632.0
|
| 643 |
-
num_examples: 6
|
| 644 |
-
- name: bread_ready
|
| 645 |
-
num_bytes: 2912081.0
|
| 646 |
-
num_examples: 1
|
| 647 |
- name: work_area
|
| 648 |
num_bytes: 527291086.0
|
| 649 |
num_examples: 168
|
| 650 |
-
- name:
|
| 651 |
-
num_bytes:
|
| 652 |
-
num_examples:
|
| 653 |
-
- name:
|
| 654 |
-
num_bytes:
|
| 655 |
num_examples: 1
|
| 656 |
-
- name:
|
| 657 |
-
num_bytes:
|
| 658 |
-
num_examples:
|
| 659 |
-
- name:
|
| 660 |
-
num_bytes:
|
| 661 |
-
num_examples:
|
| 662 |
- name: foodstores
|
| 663 |
num_bytes: 17300865.0
|
| 664 |
num_examples: 3
|
| 665 |
-
- name:
|
| 666 |
-
num_bytes:
|
| 667 |
-
num_examples:
|
| 668 |
-
- name:
|
| 669 |
-
num_bytes:
|
| 670 |
-
num_examples:
|
| 671 |
-
- name: couch
|
| 672 |
-
num_bytes: 1038410012.0
|
| 673 |
-
num_examples: 306
|
| 674 |
-
- name: thing_i_dream_about_having
|
| 675 |
-
num_bytes: 472486186.0
|
| 676 |
-
num_examples: 159
|
| 677 |
-
- name: glasses_or_lenses
|
| 678 |
-
num_bytes: 406654084.0
|
| 679 |
-
num_examples: 148
|
| 680 |
-
- name: instrument
|
| 681 |
-
num_bytes: 201768650.0
|
| 682 |
-
num_examples: 64
|
| 683 |
-
- name: vegetable_markets
|
| 684 |
-
num_bytes: 3934905.0
|
| 685 |
-
num_examples: 1
|
| 686 |
-
- name: washing_clothes_cleaning
|
| 687 |
-
num_bytes: 986858417.0
|
| 688 |
-
num_examples: 314
|
| 689 |
- name: most_played_songs_on_the_radio
|
| 690 |
num_bytes: 2804770.0
|
| 691 |
num_examples: 1
|
| 692 |
-
- name:
|
| 693 |
-
num_bytes:
|
| 694 |
-
num_examples:
|
|
|
|
|
|
|
|
|
|
| 695 |
- name: car
|
| 696 |
num_bytes: 356818254.0
|
| 697 |
num_examples: 154
|
| 698 |
-
- name:
|
| 699 |
-
num_bytes:
|
| 700 |
-
num_examples:
|
| 701 |
-
- name:
|
| 702 |
-
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|
| 703 |
-
num_examples:
|
| 704 |
-
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|
| 705 |
-
num_bytes:
|
| 706 |
-
num_examples:
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|
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|
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|
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|
|
|
|
|
|
|
|
|
| 707 |
- name: smoke_and_steam_exit
|
| 708 |
num_bytes: 735515901.0
|
| 709 |
num_examples: 233
|
| 710 |
-
- name:
|
| 711 |
-
num_bytes:
|
| 712 |
-
num_examples:
|
| 713 |
-
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|
| 714 |
-
num_bytes: 562027.0
|
| 715 |
-
num_examples: 4
|
| 716 |
-
- name: tv
|
| 717 |
-
num_bytes: 881350311.0
|
| 718 |
-
num_examples: 292
|
| 719 |
-
- name: lightsources_by_bed
|
| 720 |
-
num_bytes: 262728699.0
|
| 721 |
-
num_examples: 92
|
| 722 |
-
- name: wall_
|
| 723 |
-
num_bytes: 2818789640.0
|
| 724 |
-
num_examples: 877
|
| 725 |
-
- name: floor
|
| 726 |
-
num_bytes: 1330556621.0
|
| 727 |
-
num_examples: 377
|
| 728 |
-
- name: clothes
|
| 729 |
-
num_bytes: 1022544251.0
|
| 730 |
-
num_examples: 323
|
| 731 |
-
- name: tattoos
|
| 732 |
-
num_bytes: 175056398.0
|
| 733 |
-
num_examples: 51
|
| 734 |
-
- name: toothbrush
|
| 735 |
-
num_bytes: 1119100599.0
|
| 736 |
-
num_examples: 379
|
| 737 |
-
- name: trash_waste
|
| 738 |
-
num_bytes: 964196788.0
|
| 739 |
-
num_examples: 291
|
| 740 |
-
- name: light_source_in_livingroom
|
| 741 |
-
num_bytes: 895836854.0
|
| 742 |
-
num_examples: 307
|
| 743 |
- name: dish_racks
|
| 744 |
num_bytes: 1070639074.0
|
| 745 |
num_examples: 336
|
| 746 |
-
- name:
|
| 747 |
-
num_bytes:
|
| 748 |
-
num_examples:
|
| 749 |
-
- name:
|
| 750 |
-
num_bytes:
|
| 751 |
-
num_examples:
|
| 752 |
- name: surroundings
|
| 753 |
num_bytes: 60100849.0
|
| 754 |
num_examples: 13
|
| 755 |
-
- name:
|
| 756 |
-
num_bytes:
|
| 757 |
-
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-
num_bytes:
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| 1057 |
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num_examples:
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| 1058 |
-
- name:
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| 1059 |
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num_bytes:
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num_examples:
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| 1061 |
-
- name:
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| 1062 |
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num_bytes:
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num_examples:
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| 1064 |
- name: light_sources
|
| 1065 |
num_bytes: 707637325.0
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| 1066 |
num_examples: 220
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| 1067 |
-
- name:
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| 1068 |
-
num_bytes:
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-
num_examples:
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| 1070 |
- name: things_i_wish_i_had
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| 1071 |
num_bytes: 13208034.0
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| 1072 |
num_examples: 5
|
| 1073 |
-
- name:
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| 1074 |
-
num_bytes:
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| 1075 |
-
num_examples:
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| 1076 |
-
- name:
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| 1077 |
-
num_bytes:
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| 1078 |
-
num_examples: 68
|
| 1079 |
-
- name: vegetable_plot
|
| 1080 |
-
num_bytes: 283618018.0
|
| 1081 |
-
num_examples: 71
|
| 1082 |
-
- name: fields
|
| 1083 |
-
num_bytes: 5822273.0
|
| 1084 |
-
num_examples: 1
|
| 1085 |
-
- name: source_of_cool
|
| 1086 |
-
num_bytes: 786516004.0
|
| 1087 |
-
num_examples: 250
|
| 1088 |
-
- name: storage_room
|
| 1089 |
-
num_bytes: 772429217.0
|
| 1090 |
-
num_examples: 225
|
| 1091 |
-
- name: fruits_and_vegetables
|
| 1092 |
-
num_bytes: 664452138.0
|
| 1093 |
-
num_examples: 210
|
| 1094 |
-
- name: favourite_sports_clubs
|
| 1095 |
-
num_bytes: 135961086.0
|
| 1096 |
-
num_examples: 46
|
| 1097 |
-
- name: snack_stores
|
| 1098 |
-
num_bytes: 288627.0
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| 1099 |
-
num_examples: 1
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| 1100 |
-
- name: electricity_wires
|
| 1101 |
-
num_bytes: 2244483.0
|
| 1102 |
-
num_examples: 1
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| 1103 |
-
- name: celebrity_posters
|
| 1104 |
-
num_bytes: 6966565.0
|
| 1105 |
num_examples: 1
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| 1106 |
-
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| 1107 |
-
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| 1108 |
---
|
| 1109 |
# Dataset Card for "dollarstreet"
|
| 1110 |
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| 2 |
configs:
|
| 3 |
- config_name: default
|
| 4 |
data_files:
|
| 5 |
+
- split: cups_mugs_glasses
|
| 6 |
+
path: data/cups_mugs_glasses-*
|
| 7 |
+
- split: street_detail
|
| 8 |
+
path: data/street_detail-*
|
| 9 |
+
- split: sheep
|
| 10 |
+
path: data/sheep-*
|
| 11 |
+
- split: bathroom_toilet
|
| 12 |
+
path: data/bathroom_toilet-*
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| 13 |
- split: freezer
|
| 14 |
path: data/freezer-*
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|
| 15 |
- split: baking_tables
|
| 16 |
path: data/baking_tables-*
|
| 17 |
+
- split: light_source_in_kitchen
|
| 18 |
+
path: data/light_source_in_kitchen-*
|
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|
| 19 |
- split: work_area
|
| 20 |
path: data/work_area-*
|
| 21 |
+
- split: contraceptives
|
| 22 |
+
path: data/contraceptives-*
|
| 23 |
+
- split: coins
|
| 24 |
+
path: data/coins-*
|
| 25 |
+
- split: backyard
|
| 26 |
+
path: data/backyard-*
|
| 27 |
+
- split: bike
|
| 28 |
+
path: data/bike-*
|
| 29 |
- split: foodstores
|
| 30 |
path: data/foodstores-*
|
| 31 |
+
- split: toothbrush
|
| 32 |
+
path: data/toothbrush-*
|
| 33 |
+
- split: cattle
|
| 34 |
+
path: data/cattle-*
|
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|
| 35 |
- split: most_played_songs_on_the_radio
|
| 36 |
path: data/most_played_songs_on_the_radio-*
|
| 37 |
+
- split: plate_of_food
|
| 38 |
+
path: data/plate_of_food-*
|
| 39 |
+
- split: shaving
|
| 40 |
+
path: data/shaving-*
|
| 41 |
- split: car
|
| 42 |
path: data/car-*
|
| 43 |
+
- split: frontdoor_keys
|
| 44 |
+
path: data/frontdoor_keys-*
|
| 45 |
+
- split: goats
|
| 46 |
+
path: data/goats-*
|
| 47 |
+
- split: couch
|
| 48 |
+
path: data/couch-*
|
| 49 |
+
- split: lock_on_front_door
|
| 50 |
+
path: data/lock_on_front_door-*
|
| 51 |
+
- split: mosquito_protection
|
| 52 |
+
path: data/mosquito_protection-*
|
| 53 |
+
- split: plates
|
| 54 |
+
path: data/plates-*
|
| 55 |
+
- split: bad_outdoor_air_obstructions
|
| 56 |
+
path: data/bad_outdoor_air_obstructions-*
|
| 57 |
+
- split: ceiling
|
| 58 |
+
path: data/ceiling-*
|
| 59 |
+
- split: radio
|
| 60 |
+
path: data/radio-*
|
| 61 |
+
- split: bowls
|
| 62 |
+
path: data/bowls-*
|
| 63 |
+
- split: daylight_ostructions
|
| 64 |
+
path: data/daylight_ostructions-*
|
| 65 |
+
- split: kitchen_sink
|
| 66 |
+
path: data/kitchen_sink-*
|
| 67 |
- split: smoke_and_steam_exit
|
| 68 |
path: data/smoke_and_steam_exit-*
|
| 69 |
+
- split: alcoholic_drinks
|
| 70 |
+
path: data/alcoholic_drinks-*
|
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|
| 71 |
- split: dish_racks
|
| 72 |
path: data/dish_racks-*
|
| 73 |
+
- split: thing_i_dream_about_having
|
| 74 |
+
path: data/thing_i_dream_about_having-*
|
| 75 |
+
- split: next_big_thing_you_are_planning_to_buy
|
| 76 |
+
path: data/next_big_thing_you_are_planning_to_buy-*
|
| 77 |
- split: surroundings
|
| 78 |
path: data/surroundings-*
|
| 79 |
+
- split: skies_outside
|
| 80 |
+
path: data/skies_outside-*
|
| 81 |
+
- split: wall_
|
| 82 |
+
path: data/wall_-*
|
| 83 |
+
- split: earings
|
| 84 |
+
path: data/earings-*
|
| 85 |
+
- split: bread_ready
|
| 86 |
+
path: data/bread_ready-*
|
| 87 |
+
- split: hand_back
|
| 88 |
+
path: data/hand_back-*
|
| 89 |
+
- split: dinner_guests
|
| 90 |
+
path: data/dinner_guests-*
|
| 91 |
+
- split: rug
|
| 92 |
+
path: data/rug-*
|
| 93 |
+
- split: cleaning_floors
|
| 94 |
+
path: data/cleaning_floors-*
|
| 95 |
+
- split: paper
|
| 96 |
+
path: data/paper-*
|
| 97 |
+
- split: moped_motorcycle
|
| 98 |
+
path: data/moped_motorcycle-*
|
|
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|
| 99 |
- split: waste_dumps
|
| 100 |
path: data/waste_dumps-*
|
| 101 |
+
- split: snacks
|
| 102 |
+
path: data/snacks-*
|
|
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|
| 103 |
- split: soccer_balls
|
| 104 |
path: data/soccer_balls-*
|
| 105 |
+
- split: get_water
|
| 106 |
+
path: data/get_water-*
|
| 107 |
+
- split: source_of_cool
|
| 108 |
+
path: data/source_of_cool-*
|
| 109 |
+
- split: hand_palm
|
| 110 |
+
path: data/hand_palm-*
|
| 111 |
+
- split: cigarettes
|
| 112 |
+
path: data/cigarettes-*
|
| 113 |
+
- split: drinks
|
| 114 |
+
path: data/drinks-*
|
| 115 |
+
- split: chickens
|
| 116 |
+
path: data/chickens-*
|
| 117 |
+
- split: tattoos
|
| 118 |
+
path: data/tattoos-*
|
| 119 |
+
- split: home
|
| 120 |
+
path: data/home-*
|
| 121 |
+
- split: place_where_serving_guests
|
| 122 |
+
path: data/place_where_serving_guests-*
|
| 123 |
+
- split: smog_bad_air_breathing_protection
|
| 124 |
+
path: data/smog_bad_air_breathing_protection-*
|
| 125 |
+
- split: roof
|
| 126 |
+
path: data/roof-*
|
| 127 |
+
- split: family_snapshots
|
| 128 |
+
path: data/family_snapshots-*
|
| 129 |
+
- split: carrying_water
|
| 130 |
+
path: data/carrying_water-*
|
| 131 |
+
- split: hand_washing
|
| 132 |
+
path: data/hand_washing-*
|
| 133 |
- split: horses
|
| 134 |
path: data/horses-*
|
| 135 |
+
- split: medication
|
| 136 |
+
path: data/medication-*
|
| 137 |
+
- split: dish_washing_brush_cloth
|
| 138 |
+
path: data/dish_washing_brush_cloth-*
|
| 139 |
- split: nicest_shoes
|
| 140 |
path: data/nicest_shoes-*
|
|
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|
| 141 |
- split: water_outlet
|
| 142 |
path: data/water_outlet-*
|
| 143 |
+
- split: tv
|
| 144 |
+
path: data/tv-*
|
| 145 |
+
- split: air_fresheners_scents
|
| 146 |
+
path: data/air_fresheners_scents-*
|
| 147 |
+
- split: portraits
|
| 148 |
+
path: data/portraits-*
|
| 149 |
+
- split: celebrity_posters
|
| 150 |
+
path: data/celebrity_posters-*
|
| 151 |
+
- split: boat
|
| 152 |
+
path: data/boat-*
|
| 153 |
+
- split: trash_waste
|
| 154 |
+
path: data/trash_waste-*
|
| 155 |
+
- split: shower
|
| 156 |
+
path: data/shower-*
|
|
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|
|
| 157 |
- split: front_door
|
| 158 |
path: data/front_door-*
|
| 159 |
+
- split: electric_wires
|
| 160 |
+
path: data/electric_wires-*
|
| 161 |
+
- split: photo_guide_images
|
| 162 |
+
path: data/photo_guide_images-*
|
| 163 |
+
- split: meat_markets
|
| 164 |
+
path: data/meat_markets-*
|
| 165 |
+
- split: cooking_utensils
|
| 166 |
+
path: data/cooking_utensils-*
|
| 167 |
+
- split: fishes
|
| 168 |
+
path: data/fishes-*
|
| 169 |
+
- split: stove_hob
|
| 170 |
+
path: data/stove_hob-*
|
| 171 |
+
- split: water_sources_for_doing_dishes
|
| 172 |
+
path: data/water_sources_for_doing_dishes-*
|
| 173 |
+
- split: parking_lot
|
| 174 |
+
path: data/parking_lot-*
|
| 175 |
+
- split: spices
|
| 176 |
+
path: data/spices-*
|
| 177 |
+
- split: water_sources
|
| 178 |
+
path: data/water_sources-*
|
| 179 |
+
- split: pet_foods
|
| 180 |
+
path: data/pet_foods-*
|
| 181 |
+
- split: milk_cows_or_bulls
|
| 182 |
+
path: data/milk_cows_or_bulls-*
|
| 183 |
+
- split: vegetable_markets
|
| 184 |
+
path: data/vegetable_markets-*
|
| 185 |
+
- split: wall_decoration
|
| 186 |
+
path: data/wall_decoration-*
|
| 187 |
+
- split: hair_brush_comb
|
| 188 |
+
path: data/hair_brush_comb-*
|
| 189 |
+
- split: meat_storages
|
| 190 |
+
path: data/meat_storages-*
|
| 191 |
- split: bedroom
|
| 192 |
path: data/bedroom-*
|
| 193 |
+
- split: cooking_pots
|
| 194 |
+
path: data/cooking_pots-*
|
| 195 |
+
- split: music_equipment
|
| 196 |
+
path: data/music_equipment-*
|
| 197 |
+
- split: arm_watch
|
| 198 |
+
path: data/arm_watch-*
|
| 199 |
- split: rehabilitation_technology
|
| 200 |
path: data/rehabilitation_technology-*
|
| 201 |
+
- split: elevators
|
| 202 |
+
path: data/elevators-*
|
| 203 |
+
- split: cleaning_after_toilet
|
| 204 |
+
path: data/cleaning_after_toilet-*
|
| 205 |
+
- split: storage_room
|
| 206 |
+
path: data/storage_room-*
|
| 207 |
+
- split: bread_bowls
|
| 208 |
+
path: data/bread_bowls-*
|
| 209 |
+
- split: refrigerator
|
| 210 |
+
path: data/refrigerator-*
|
| 211 |
+
- split: dish_washing_soap
|
| 212 |
+
path: data/dish_washing_soap-*
|
| 213 |
+
- split: bed
|
| 214 |
+
path: data/bed-*
|
|
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|
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|
|
| 215 |
- split: horse_stables
|
| 216 |
path: data/horse_stables-*
|
| 217 |
+
- split: oven
|
| 218 |
+
path: data/oven-*
|
| 219 |
+
- split: jewelry
|
| 220 |
+
path: data/jewelry-*
|
| 221 |
+
- split: bed_kids
|
| 222 |
+
path: data/bed_kids-*
|
| 223 |
+
- split: wedding_photos
|
| 224 |
+
path: data/wedding_photos-*
|
| 225 |
+
- split: children_room
|
| 226 |
+
path: data/children_room-*
|
| 227 |
+
- split: wall_clock
|
| 228 |
+
path: data/wall_clock-*
|
| 229 |
+
- split: living_room
|
| 230 |
+
path: data/living_room-*
|
| 231 |
+
- split: cleaning_equipment
|
| 232 |
+
path: data/cleaning_equipment-*
|
| 233 |
+
- split: baking_sheets
|
| 234 |
+
path: data/baking_sheets-*
|
| 235 |
+
- split: make_up
|
| 236 |
+
path: data/make_up-*
|
| 237 |
+
- split: soap_for_hands_and_body
|
| 238 |
+
path: data/soap_for_hands_and_body-*
|
| 239 |
+
- split: toys
|
| 240 |
+
path: data/toys-*
|
| 241 |
+
- split: agriculture_land
|
| 242 |
+
path: data/agriculture_land-*
|
| 243 |
+
- split: clothes
|
| 244 |
+
path: data/clothes-*
|
| 245 |
+
- split: guest_bed
|
| 246 |
+
path: data/guest_bed-*
|
| 247 |
+
- split: fishing_equipment
|
| 248 |
+
path: data/fishing_equipment-*
|
| 249 |
+
- split: ventilation
|
| 250 |
+
path: data/ventilation-*
|
| 251 |
+
- split: knifes
|
| 252 |
+
path: data/knifes-*
|
| 253 |
+
- split: necklaces
|
| 254 |
+
path: data/necklaces-*
|
| 255 |
+
- split: most_loved_toy
|
| 256 |
+
path: data/most_loved_toy-*
|
| 257 |
+
- split: armchair
|
| 258 |
+
path: data/armchair-*
|
| 259 |
+
- split: bed_hq
|
| 260 |
+
path: data/bed_hq-*
|
| 261 |
+
- split: air_cleaning_equipments
|
| 262 |
+
path: data/air_cleaning_equipments-*
|
| 263 |
+
- split: everyday_shoes
|
| 264 |
+
path: data/everyday_shoes-*
|
| 265 |
+
- split: instrument
|
| 266 |
+
path: data/instrument-*
|
| 267 |
+
- split: social_drink
|
| 268 |
+
path: data/social_drink-*
|
| 269 |
+
- split: drinking_water
|
| 270 |
+
path: data/drinking_water-*
|
| 271 |
+
- split: newspapers
|
| 272 |
+
path: data/newspapers-*
|
| 273 |
+
- split: washing_detergent
|
| 274 |
+
path: data/washing_detergent-*
|
| 275 |
+
- split: transport_of_heavy_things
|
| 276 |
+
path: data/transport_of_heavy_things-*
|
| 277 |
+
- split: floor
|
| 278 |
+
path: data/floor-*
|
| 279 |
+
- split: hallway
|
| 280 |
+
path: data/hallway-*
|
| 281 |
+
- split: salt
|
| 282 |
+
path: data/salt-*
|
| 283 |
+
- split: pen_pencils
|
| 284 |
+
path: data/pen_pencils-*
|
| 285 |
+
- split: cooking
|
| 286 |
+
path: data/cooking-*
|
| 287 |
+
- split: visit
|
| 288 |
+
path: data/visit-*
|
| 289 |
- split: cosmetics
|
| 290 |
path: data/cosmetics-*
|
| 291 |
+
- split: latest_furniture_bought
|
| 292 |
+
path: data/latest_furniture_bought-*
|
| 293 |
+
- split: play_area
|
| 294 |
+
path: data/play_area-*
|
| 295 |
- split: soccer_supporter_items
|
| 296 |
path: data/soccer_supporter_items-*
|
| 297 |
+
- split: water_purifier_solutions
|
| 298 |
+
path: data/water_purifier_solutions-*
|
| 299 |
+
- split: snack_stores
|
| 300 |
+
path: data/snack_stores-*
|
| 301 |
+
- split: wall
|
| 302 |
+
path: data/wall-*
|
| 303 |
+
- split: sitting_area
|
| 304 |
+
path: data/sitting_area-*
|
| 305 |
+
- split: wheel_barrow
|
| 306 |
+
path: data/wheel_barrow-*
|
| 307 |
+
- split: car_decorations
|
| 308 |
+
path: data/car_decorations-*
|
| 309 |
+
- split: markets
|
| 310 |
+
path: data/markets-*
|
| 311 |
+
- split: fields
|
| 312 |
+
path: data/fields-*
|
| 313 |
- split: replaced
|
| 314 |
path: data/replaced-*
|
| 315 |
+
- split: wardrobe
|
| 316 |
+
path: data/wardrobe-*
|
| 317 |
+
- split: tooth_paste
|
| 318 |
+
path: data/tooth_paste-*
|
| 319 |
+
- split: worship_places
|
| 320 |
+
path: data/worship_places-*
|
| 321 |
+
- split: source_of_heat
|
| 322 |
+
path: data/source_of_heat-*
|
| 323 |
+
- split: toilet
|
| 324 |
+
path: data/toilet-*
|
| 325 |
+
- split: piercings
|
| 326 |
+
path: data/piercings-*
|
| 327 |
+
- split: baking_tools
|
| 328 |
+
path: data/baking_tools-*
|
| 329 |
+
- split: lightsources_by_bed
|
| 330 |
+
path: data/lightsources_by_bed-*
|
| 331 |
+
- split: light_source_in_livingroom
|
| 332 |
+
path: data/light_source_in_livingroom-*
|
| 333 |
+
- split: favourite_sports_clubs
|
| 334 |
+
path: data/favourite_sports_clubs-*
|
| 335 |
+
- split: tabloids
|
| 336 |
+
path: data/tabloids-*
|
| 337 |
+
- split: books
|
| 338 |
+
path: data/books-*
|
| 339 |
+
- split: menstruation_pads_tampax
|
| 340 |
+
path: data/menstruation_pads_tampax-*
|
| 341 |
- split: power_outlet
|
| 342 |
path: data/power_outlet-*
|
| 343 |
+
- split: toilet_paper
|
| 344 |
+
path: data/toilet_paper-*
|
| 345 |
+
- split: arm_watches
|
| 346 |
+
path: data/arm_watches-*
|
| 347 |
+
- split: electricity_wires
|
| 348 |
+
path: data/electricity_wires-*
|
| 349 |
+
- split: wall_inside
|
| 350 |
+
path: data/wall_inside-*
|
| 351 |
+
- split: computer
|
| 352 |
+
path: data/computer-*
|
| 353 |
+
- split: meat_or_fish
|
| 354 |
+
path: data/meat_or_fish-*
|
| 355 |
+
- split: sources_of_drinking_water
|
| 356 |
+
path: data/sources_of_drinking_water-*
|
| 357 |
+
- split: kitchen
|
| 358 |
+
path: data/kitchen-*
|
| 359 |
+
- split: ingredients
|
| 360 |
+
path: data/ingredients-*
|
| 361 |
+
- split: baby_powder
|
| 362 |
+
path: data/baby_powder-*
|
| 363 |
+
- split: bathroom_privacy
|
| 364 |
+
path: data/bathroom_privacy-*
|
| 365 |
+
- split: vegetable_plot
|
| 366 |
+
path: data/vegetable_plot-*
|
| 367 |
+
- split: car_keys
|
| 368 |
+
path: data/car_keys-*
|
| 369 |
+
- split: icons
|
| 370 |
+
path: data/icons-*
|
| 371 |
+
- split: favorite_home_decorations
|
| 372 |
+
path: data/favorite_home_decorations-*
|
| 373 |
+
- split: tractors
|
| 374 |
+
path: data/tractors-*
|
| 375 |
- split: bills_of_money
|
| 376 |
path: data/bills_of_money-*
|
| 377 |
+
- split: cutlery
|
| 378 |
+
path: data/cutlery-*
|
| 379 |
+
- split: family
|
| 380 |
+
path: data/family-*
|
| 381 |
+
- split: teeth
|
| 382 |
+
path: data/teeth-*
|
| 383 |
+
- split: place_where_eating_dinner
|
| 384 |
+
path: data/place_where_eating_dinner-*
|
| 385 |
+
- split: grains
|
| 386 |
+
path: data/grains-*
|
| 387 |
+
- split: washing_clothes_cleaning
|
| 388 |
+
path: data/washing_clothes_cleaning-*
|
| 389 |
+
- split: fruits_and_vegetables
|
| 390 |
+
path: data/fruits_and_vegetables-*
|
| 391 |
- split: light_sources
|
| 392 |
path: data/light_sources-*
|
| 393 |
+
- split: tools
|
| 394 |
+
path: data/tools-*
|
| 395 |
+
- split: drying
|
| 396 |
+
path: data/drying-*
|
| 397 |
+
- split: street_view
|
| 398 |
+
path: data/street_view-*
|
| 399 |
+
- split: phone
|
| 400 |
+
path: data/phone-*
|
| 401 |
+
- split: idols
|
| 402 |
+
path: data/idols-*
|
| 403 |
+
- split: pet
|
| 404 |
+
path: data/pet-*
|
| 405 |
+
- split: other_transport
|
| 406 |
+
path: data/other_transport-*
|
| 407 |
+
- split: most_loved_item
|
| 408 |
+
path: data/most_loved_item-*
|
| 409 |
+
- split: glasses_or_lenses
|
| 410 |
+
path: data/glasses_or_lenses-*
|
| 411 |
- split: things_i_wish_i_had
|
| 412 |
path: data/things_i_wish_i_had-*
|
| 413 |
+
- split: table_with_food
|
| 414 |
+
path: data/table_with_food-*
|
| 415 |
+
- split: youth_culture
|
| 416 |
+
path: data/youth_culture-*
|
| 417 |
+
- split: equipment
|
| 418 |
+
path: data/equipment-*
|
| 419 |
+
- split: shoes
|
| 420 |
+
path: data/shoes-*
|
| 421 |
+
- split: coats_and_jackets
|
| 422 |
+
path: data/coats_and_jackets-*
|
| 423 |
+
- split: dishwasher
|
| 424 |
+
path: data/dishwasher-*
|
| 425 |
+
- split: vegetables
|
| 426 |
+
path: data/vegetables-*
|
| 427 |
+
- split: fruit_trees
|
| 428 |
+
path: data/fruit_trees-*
|
| 429 |
+
- split: nature_sceneries
|
| 430 |
+
path: data/nature_sceneries-*
|
| 431 |
+
- split: shampoo
|
| 432 |
+
path: data/shampoo-*
|
| 433 |
+
- split: switch_on_off
|
| 434 |
+
path: data/switch_on_off-*
|
| 435 |
+
- split: playgrounds
|
| 436 |
+
path: data/playgrounds-*
|
| 437 |
dataset_info:
|
| 438 |
features:
|
| 439 |
- name: id
|
|
|
|
| 455 |
- name: income
|
| 456 |
dtype: string
|
| 457 |
splits:
|
| 458 |
+
- name: cups_mugs_glasses
|
| 459 |
+
num_bytes: 994285249.0
|
| 460 |
+
num_examples: 333
|
| 461 |
+
- name: street_detail
|
| 462 |
+
num_bytes: 1168591117.0
|
| 463 |
+
num_examples: 290
|
| 464 |
+
- name: sheep
|
| 465 |
+
num_bytes: 12738586.0
|
| 466 |
+
num_examples: 4
|
| 467 |
+
- name: bathroom_toilet
|
| 468 |
+
num_bytes: 1129143553.0
|
| 469 |
+
num_examples: 350
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 470 |
- name: freezer
|
| 471 |
num_bytes: 515874223.0
|
| 472 |
num_examples: 187
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 473 |
- name: baking_tables
|
| 474 |
num_bytes: 3017644.0
|
| 475 |
num_examples: 1
|
| 476 |
+
- name: light_source_in_kitchen
|
| 477 |
+
num_bytes: 883391525.0
|
| 478 |
+
num_examples: 304
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
| 479 |
- name: work_area
|
| 480 |
num_bytes: 527291086.0
|
| 481 |
num_examples: 168
|
| 482 |
+
- name: contraceptives
|
| 483 |
+
num_bytes: 56130849.0
|
| 484 |
+
num_examples: 25
|
| 485 |
+
- name: coins
|
| 486 |
+
num_bytes: 4296291.0
|
| 487 |
num_examples: 1
|
| 488 |
+
- name: backyard
|
| 489 |
+
num_bytes: 834683499.0
|
| 490 |
+
num_examples: 208
|
| 491 |
+
- name: bike
|
| 492 |
+
num_bytes: 536280770.0
|
| 493 |
+
num_examples: 149
|
| 494 |
- name: foodstores
|
| 495 |
num_bytes: 17300865.0
|
| 496 |
num_examples: 3
|
| 497 |
+
- name: toothbrush
|
| 498 |
+
num_bytes: 1119100599.0
|
| 499 |
+
num_examples: 379
|
| 500 |
+
- name: cattle
|
| 501 |
+
num_bytes: 33022033.0
|
| 502 |
+
num_examples: 12
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 503 |
- name: most_played_songs_on_the_radio
|
| 504 |
num_bytes: 2804770.0
|
| 505 |
num_examples: 1
|
| 506 |
+
- name: plate_of_food
|
| 507 |
+
num_bytes: 965241961.0
|
| 508 |
+
num_examples: 298
|
| 509 |
+
- name: shaving
|
| 510 |
+
num_bytes: 630435242.0
|
| 511 |
+
num_examples: 216
|
| 512 |
- name: car
|
| 513 |
num_bytes: 356818254.0
|
| 514 |
num_examples: 154
|
| 515 |
+
- name: frontdoor_keys
|
| 516 |
+
num_bytes: 208792828.0
|
| 517 |
+
num_examples: 147
|
| 518 |
+
- name: goats
|
| 519 |
+
num_bytes: 94614657.0
|
| 520 |
+
num_examples: 24
|
| 521 |
+
- name: couch
|
| 522 |
+
num_bytes: 1038410012.0
|
| 523 |
+
num_examples: 306
|
| 524 |
+
- name: lock_on_front_door
|
| 525 |
+
num_bytes: 1099656984.0
|
| 526 |
+
num_examples: 362
|
| 527 |
+
- name: mosquito_protection
|
| 528 |
+
num_bytes: 541301592.0
|
| 529 |
+
num_examples: 163
|
| 530 |
+
- name: plates
|
| 531 |
+
num_bytes: 1033692373.0
|
| 532 |
+
num_examples: 342
|
| 533 |
+
- name: bad_outdoor_air_obstructions
|
| 534 |
+
num_bytes: 1141009.0
|
| 535 |
+
num_examples: 6
|
| 536 |
+
- name: ceiling
|
| 537 |
+
num_bytes: 1154394188.0
|
| 538 |
+
num_examples: 362
|
| 539 |
+
- name: radio
|
| 540 |
+
num_bytes: 534624094.0
|
| 541 |
+
num_examples: 164
|
| 542 |
+
- name: bowls
|
| 543 |
+
num_bytes: 69506612.0
|
| 544 |
+
num_examples: 24
|
| 545 |
+
- name: daylight_ostructions
|
| 546 |
+
num_bytes: 2457632.0
|
| 547 |
+
num_examples: 6
|
| 548 |
+
- name: kitchen_sink
|
| 549 |
+
num_bytes: 1077526669.0
|
| 550 |
+
num_examples: 334
|
| 551 |
- name: smoke_and_steam_exit
|
| 552 |
num_bytes: 735515901.0
|
| 553 |
num_examples: 233
|
| 554 |
+
- name: alcoholic_drinks
|
| 555 |
+
num_bytes: 206764191.0
|
| 556 |
+
num_examples: 72
|
|
|
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| 899 |
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- name: snack_stores
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| 900 |
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num_bytes: 288627.0
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| 901 |
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num_examples: 1
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| 902 |
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- name: wall
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| 903 |
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num_bytes: 3920557387.358
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| 904 |
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num_examples: 1154
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| 905 |
+
- name: sitting_area
|
| 906 |
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num_bytes: 1008819886.0
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| 907 |
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num_examples: 299
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| 908 |
+
- name: wheel_barrow
|
| 909 |
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num_bytes: 201248243.0
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| 910 |
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num_examples: 45
|
| 911 |
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- name: car_decorations
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| 912 |
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num_bytes: 5448714.0
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num_examples: 1
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| 914 |
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- name: markets
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| 915 |
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num_bytes: 35468731.0
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| 916 |
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num_examples: 8
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| 917 |
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- name: fields
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| 918 |
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num_bytes: 5822273.0
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num_examples: 1
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| 920 |
- name: replaced
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| 921 |
num_bytes: 4438189.0
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num_examples: 3
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| 923 |
+
- name: wardrobe
|
| 924 |
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num_bytes: 1161924263.0
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| 925 |
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num_examples: 362
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| 926 |
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- name: tooth_paste
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| 927 |
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num_bytes: 992504555.0
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num_examples: 334
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| 929 |
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- name: worship_places
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| 930 |
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num_bytes: 269510881.0
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num_examples: 77
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| 932 |
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- name: source_of_heat
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| 933 |
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num_bytes: 453347786.0
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num_examples: 145
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| 935 |
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- name: toilet
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| 936 |
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num_bytes: 2922917220.0
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num_examples: 943
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| 938 |
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- name: piercings
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num_bytes: 181157725.0
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num_examples: 68
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| 941 |
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- name: baking_tools
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num_bytes: 2321733.0
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num_examples: 1
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| 944 |
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| 945 |
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num_bytes: 262728699.0
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num_examples: 92
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| 947 |
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- name: light_source_in_livingroom
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num_bytes: 895836854.0
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num_examples: 307
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| 950 |
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- name: favourite_sports_clubs
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| 951 |
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num_bytes: 135961086.0
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| 952 |
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num_examples: 46
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| 953 |
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- name: tabloids
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| 954 |
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num_bytes: 9384343.0
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num_examples: 2
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- name: books
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num_bytes: 1045990947.0
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num_examples: 315
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| 959 |
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- name: menstruation_pads_tampax
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| 960 |
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num_bytes: 400849572.0
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num_examples: 125
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| 962 |
- name: power_outlet
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| 963 |
num_bytes: 875197741.0
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num_examples: 298
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| 965 |
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- name: toilet_paper
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| 966 |
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num_bytes: 908650830.0
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num_examples: 294
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| 968 |
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- name: arm_watches
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| 969 |
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num_bytes: 55557790.0
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num_examples: 30
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| 971 |
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- name: electricity_wires
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| 972 |
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num_bytes: 2244483.0
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num_examples: 1
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| 974 |
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- name: wall_inside
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| 975 |
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num_bytes: 1174096181.0
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num_examples: 358
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| 977 |
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- name: computer
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| 978 |
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num_bytes: 552454079.0
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num_examples: 186
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| 980 |
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- name: meat_or_fish
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num_bytes: 616043178.0
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num_examples: 192
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| 983 |
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- name: sources_of_drinking_water
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| 984 |
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num_bytes: 3045397.0
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| 985 |
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num_examples: 8
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| 986 |
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- name: kitchen
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| 987 |
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num_bytes: 3049589855.0
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num_examples: 967
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| 989 |
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- name: ingredients
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num_bytes: 17779940.0
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num_examples: 3
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| 992 |
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- name: baby_powder
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num_bytes: 7773188.0
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| 994 |
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num_examples: 4
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| 995 |
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- name: bathroom_privacy
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num_bytes: 898900810.0
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| 997 |
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num_examples: 283
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| 998 |
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- name: vegetable_plot
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num_bytes: 283618018.0
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| 1000 |
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num_examples: 71
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| 1001 |
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- name: car_keys
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| 1002 |
+
num_bytes: 58358512.0
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num_examples: 58
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| 1004 |
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- name: icons
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| 1005 |
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num_bytes: 47368214.0
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| 1006 |
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num_examples: 188
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| 1007 |
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- name: favorite_home_decorations
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| 1008 |
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num_bytes: 476751718.0
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| 1009 |
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num_examples: 151
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| 1010 |
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- name: tractors
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| 1011 |
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num_bytes: 8786272.0
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| 1012 |
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num_examples: 1
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| 1013 |
- name: bills_of_money
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| 1014 |
num_bytes: 11163171.0
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| 1015 |
num_examples: 2
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| 1016 |
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- name: cutlery
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| 1017 |
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num_bytes: 926351889.0
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num_examples: 301
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| 1019 |
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- name: family
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| 1020 |
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num_bytes: 1622349409.0
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| 1021 |
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num_examples: 493
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| 1022 |
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- name: teeth
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| 1023 |
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num_bytes: 908538754.0
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| 1024 |
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num_examples: 326
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| 1025 |
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- name: place_where_eating_dinner
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| 1026 |
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num_bytes: 1171010449.0
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| 1027 |
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num_examples: 369
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| 1028 |
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- name: grains
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| 1029 |
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num_bytes: 1066679345.0
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| 1030 |
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num_examples: 319
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| 1031 |
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- name: washing_clothes_cleaning
|
| 1032 |
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num_bytes: 986858417.0
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| 1033 |
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num_examples: 314
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| 1034 |
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- name: fruits_and_vegetables
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| 1035 |
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num_bytes: 664452138.0
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| 1036 |
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num_examples: 210
|
| 1037 |
- name: light_sources
|
| 1038 |
num_bytes: 707637325.0
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| 1039 |
num_examples: 220
|
| 1040 |
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|
| 1041 |
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num_bytes: 900850525.0
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| 1042 |
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num_examples: 252
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| 1043 |
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- name: drying
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| 1044 |
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num_bytes: 860669230.0
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num_examples: 270
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| 1046 |
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| 1047 |
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num_bytes: 1270219060.0
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num_examples: 353
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| 1049 |
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- name: phone
|
| 1050 |
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num_bytes: 1002531643.0
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| 1051 |
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num_examples: 326
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| 1052 |
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- name: idols
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num_bytes: 204194164.0
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| 1054 |
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num_examples: 65
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| 1055 |
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- name: pet
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| 1056 |
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num_bytes: 843309370.0
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| 1057 |
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num_examples: 248
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| 1058 |
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- name: other_transport
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num_bytes: 20219867.0
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num_examples: 5
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| 1061 |
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- name: most_loved_item
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num_bytes: 763492723.0
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| 1064 |
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| 1065 |
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num_bytes: 406654084.0
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| 1066 |
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num_examples: 148
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| 1067 |
- name: things_i_wish_i_had
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num_bytes: 13208034.0
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num_examples: 5
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| 1070 |
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| 1071 |
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num_bytes: 723749144.0
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| 1073 |
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- name: youth_culture
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| 1074 |
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num_bytes: 6899000.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1075 |
num_examples: 1
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| 1076 |
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| 1077 |
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| 1079 |
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- name: shoes
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| 1080 |
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num_examples: 709
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| 1083 |
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| 1085 |
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- name: dishwasher
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| 1088 |
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| 1089 |
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| 1091 |
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- name: fruit_trees
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| 1094 |
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| 1097 |
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- name: shampoo
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| 1099 |
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num_examples: 339
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| 1100 |
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- name: switch_on_off
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| 1101 |
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num_bytes: 879446769.0
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| 1102 |
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num_examples: 297
|
| 1103 |
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- name: playgrounds
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| 1104 |
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num_bytes: 35287984.0
|
| 1105 |
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num_examples: 7
|
| 1106 |
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download_size: 17029671
|
| 1107 |
+
dataset_size: 134309090433.467
|
| 1108 |
---
|
| 1109 |
# Dataset Card for "dollarstreet"
|
| 1110 |
|