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Datasets:
Bruece
/
reclip_domainnet_126_real

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10K - 100K
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Upload dataset

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Files changed (5) hide show
  1. README.md +214 -0
  2. data/train-00000-of-00004.parquet +3 -0
  3. data/train-00001-of-00004.parquet +3 -0
  4. data/train-00002-of-00004.parquet +3 -0
  5. data/train-00003-of-00004.parquet +3 -0
README.md ADDED
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+ ---
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: text
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+ dtype: string
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+ - name: label
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+ dtype:
10
+ class_label:
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+ names:
12
+ '0': Alarm_Clock
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+ '1': Backpack
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+ '2': Batteries
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+ '3': Bed
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+ '4': Bike
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+ '5': Bottle
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+ '6': Bucket
19
+ '7': Calculator
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+ '8': Calendar
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+ '9': Candles
22
+ '10': Chair
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+ '11': Clipboards
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+ '12': Computer
25
+ '13': Couch
26
+ '14': Curtains
27
+ '15': Desk_Lamp
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+ '16': Drill
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+ '17': Eraser
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+ '18': Exit_Sign
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+ '19': Fan
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+ '20': File_Cabinet
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+ '21': Flipflops
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+ '22': Flowers
35
+ '23': Folder
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+ '24': Fork
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+ '25': Glasses
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+ '26': Hammer
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+ '27': Helmet
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+ '28': Kettle
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+ '29': Keyboard
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+ '30': Knives
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+ '31': Lamp_Shade
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+ '32': Laptop
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+ '33': Marker
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+ '34': Monitor
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+ '35': Mop
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+ '36': Mouse
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+ '37': Mug
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+ '38': Notebook
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+ '39': Oven
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+ '40': Pan
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+ '41': Paper_Clip
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+ '42': Pen
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+ '43': Pencil
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+ '44': Postit_Notes
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+ '45': Printer
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+ '46': Push_Pin
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+ '47': Radio
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+ '48': Refrigerator
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+ '49': Ruler
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+ '50': Scissors
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+ '51': Screwdriver
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+ '52': Shelf
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+ '53': Sink
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+ '54': Sneakers
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+ '55': Soda
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+ '56': Speaker
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+ '57': Spoon
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+ '58': TV
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+ '59': Table
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+ '60': Telephone
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+ '61': ToothBrush
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+ '62': Toys
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+ '63': Trash_Can
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+ '64': Webcam
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+ '65': aircraft_carrier
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+ '66': alarm_clock
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+ '67': ant
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+ '68': anvil
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+ '69': asparagus
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+ '70': axe
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+ '71': banana
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+ '72': basket
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+ '73': bathtub
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+ '74': bear
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+ '75': bee
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+ '76': bird
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+ '77': blackberry
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+ '78': blueberry
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+ '79': bottlecap
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+ '80': broccoli
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+ '81': bus
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+ '82': butterfly
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+ '83': cactus
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+ '84': cake
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+ '85': calculator
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+ '86': camel
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+ '87': camera
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+ '88': candle
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+ '89': cannon
102
+ '90': canoe
103
+ '91': carrot
104
+ '92': castle
105
+ '93': cat
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+ '94': ceiling_fan
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+ '95': cell_phone
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+ '96': cello
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+ '97': chair
110
+ '98': chandelier
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+ '99': coffee_cup
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+ '100': compass
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+ '101': computer
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+ '102': cow
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+ '103': crab
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+ '104': crocodile
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+ '105': cruise_ship
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+ '106': dog
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+ '107': dolphin
120
+ '108': dragon
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+ '109': drums
122
+ '110': duck
123
+ '111': dumbbell
124
+ '112': elephant
125
+ '113': eyeglasses
126
+ '114': feather
127
+ '115': fence
128
+ '116': fish
129
+ '117': flamingo
130
+ '118': flower
131
+ '119': foot
132
+ '120': fork
133
+ '121': frog
134
+ '122': giraffe
135
+ '123': goatee
136
+ '124': grapes
137
+ '125': guitar
138
+ '126': hammer
139
+ '127': helicopter
140
+ '128': helmet
141
+ '129': horse
142
+ '130': kangaroo
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+ '131': lantern
144
+ '132': laptop
145
+ '133': leaf
146
+ '134': lion
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+ '135': lipstick
148
+ '136': lobster
149
+ '137': microphone
150
+ '138': monkey
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+ '139': mosquito
152
+ '140': mouse
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+ '141': mug
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+ '142': mushroom
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+ '143': onion
156
+ '144': panda
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+ '145': peanut
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+ '146': pear
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+ '147': peas
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+ '148': pencil
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+ '149': penguin
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+ '150': pig
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+ '151': pillow
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+ '152': pineapple
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+ '153': potato
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+ '154': power_outlet
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+ '155': purse
168
+ '156': rabbit
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+ '157': raccoon
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+ '158': rhinoceros
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+ '159': rifle
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+ '160': saxophone
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+ '161': screwdriver
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+ '162': sea_turtle
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+ '163': see_saw
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+ '164': sheep
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+ '165': shoe
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+ '166': skateboard
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+ '167': snake
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+ '168': speedboat
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+ '169': spider
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+ '170': squirrel
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+ '171': strawberry
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+ '172': streetlight
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+ '173': string_bean
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+ '174': submarine
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+ '175': swan
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+ '176': table
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+ '177': teapot
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+ '178': teddy-bear
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+ '179': television
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+ '180': the_Eiffel_Tower
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+ '181': the_Great_Wall_of_China
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+ '182': tiger
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+ '183': toe
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+ '184': train
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+ '185': truck
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+ '186': umbrella
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+ '187': vase
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+ '188': watermelon
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+ '189': whale
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+ '190': zebra
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+ splits:
204
+ - name: train
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+ num_bytes: 1730250067.782
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+ num_examples: 55697
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+ download_size: 2035715806
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+ dataset_size: 1730250067.782
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+ configs:
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+ - config_name: default
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+ data_files:
212
+ - split: train
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+ path: data/train-*
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+ ---
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