size_categories:1K<n<10K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': arrange chairs
          '1': arrange flowers
          '2': bake potato
          '3': beat eggs
          '4': bend knee
          '5': bend tree
          '6': bind hair
          '7': bite apple
          '8': block door
          '9': block window
          '10': boil egg
          '11': boil potato
          '12': break bowl
          '13': break cup
          '14': break door
          '15': break egg
          '16': break glass
          '17': break window
          '18': burn book
          '19': burn paper
          '20': burn tree
          '21': burn wood
          '22': burst balloon
          '23': burst door
          '24': carry bag
          '25': carry book
          '26': carry umbrella
          '27': chop carrot
          '28': chop meat
          '29': chop onion
          '30': chop tree
          '31': chop wood
          '32': close book
          '33': close cabinet
          '34': close door
          '35': close drawer
          '36': close window
          '37': coil rope
          '38': cook egg
          '39': cook meat
          '40': cook onion
          '41': cook potato
          '42': crack bottle
          '43': crack egg
          '44': crack glass
          '45': crack window
          '46': crash car
          '47': crop hair
          '48': cut apple
          '49': cut meat
          '50': cut onion
          '51': cut potato
          '52': cut tree
          '53': cut wood
          '54': fasten door
          '55': fasten window
          '56': fold paper
          '57': fry egg
          '58': fry meat
          '59': fry potato
          '60': grate carrot
          '61': grate potato
          '62': grind meat
          '63': hang bag
          '64': hang shirt
          '65': ignite paper
          '66': ignite wood
          '67': insert key
          '68': kick door
          '69': kick football
          '70': knot rope
          '71': label bottle
          '72': label box
          '73': lock cabinet
          '74': lock door
          '75': lock drawer
          '76': lock window
          '77': mash potato
          '78': mix eggs
          '79': open bottle
          '80': open box
          '81': open cabinet
          '82': open door
          '83': open drawer
          '84': open umbrella
          '85': open window
          '86': park car
          '87': peel apple
          '88': peel banana
          '89': peel carrot
          '90': peel orange
          '91': peel potato
          '92': pile books
          '93': pile boxes
          '94': pile wood
          '95': pitch baseball
          '96': ride bicycle
          '97': rip paper
          '98': roll paper
          '99': roll umbrella
          '100': saw tree
          '101': saw wood
          '102': scratch car
          '103': scratch knee
          '104': shave hair
          '105': shut door
          '106': shut window
          '107': skin knee
          '108': slice apple
          '109': slice meat
          '110': slice onion
          '111': slice potato
          '112': smash door
          '113': smash window
          '114': soak hair
          '115': soak shirt
          '116': spill coffee
          '117': split tree
          '118': split wood
          '119': squeeze bottle
          '120': squeeze orange
          '121': stain paper
          '122': stain shirt
          '123': stir coffee
          '124': stir soup
          '125': strip tree
          '126': tear book
          '127': tear paper
          '128': tear shirt
          '129': throw apple
          '130': throw baseball
          '131': throw football
          '132': throw frisbee
          '133': tie shoe
          '134': trim hair
          '135': trim tree
          '136': twist hair
          '137': twist rope
          '138': wrap book
          '139': wrap box
  splits:
  - name: train
    num_bytes: 191648684.53815603
    num_examples: 6126
  - name: test
    num_bytes: 20857643.465843983
    num_examples: 681
  download_size: 213918792
  dataset_size: 212506328.004
---
# Dataset Card for "image50"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)