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: 165337731.7298711
    num_examples: 1843
  - name: test
    num_bytes: 20775526.807128906
    num_examples: 205
  download_size: 187898542
  dataset_size: 186113258.537
---
# Dataset Card for "595Gao"

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