size_categories:1K<n<10K format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': Alarm_Clock
          '1': Backpack
          '2': Batteries
          '3': Bed
          '4': Bike
          '5': Bottle
          '6': Bucket
          '7': Calculator
          '8': Calendar
          '9': Candles
          '10': Chair
          '11': Clipboards
          '12': Computer
          '13': Couch
          '14': Curtains
          '15': Desk_Lamp
          '16': Drill
          '17': Eraser
          '18': Exit_Sign
          '19': Fan
          '20': File_Cabinet
          '21': Flipflops
          '22': Flowers
          '23': Folder
          '24': Fork
          '25': Glasses
          '26': Hammer
          '27': Helmet
          '28': Kettle
          '29': Keyboard
          '30': Knives
          '31': Lamp_Shade
          '32': Laptop
          '33': Marker
          '34': Monitor
          '35': Mop
          '36': Mouse
          '37': Mug
          '38': Notebook
          '39': Oven
          '40': Pan
          '41': Paper_Clip
          '42': Pen
          '43': Pencil
          '44': Postit_Notes
          '45': Printer
          '46': Push_Pin
          '47': Radio
          '48': Refrigerator
          '49': Ruler
          '50': Scissors
          '51': Screwdriver
          '52': Shelf
          '53': Sink
          '54': Sneakers
          '55': Soda
          '56': Speaker
          '57': Spoon
          '58': TV
          '59': Table
          '60': Telephone
          '61': ToothBrush
          '62': Toys
          '63': Trash_Can
          '64': Webcam
  splits:
  - name: train
    num_bytes: 138563261.294
    num_examples: 1698
  download_size: 133898067
  dataset_size: 138563261.294
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
