--- 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: 14000672.0 num_examples: 420 download_size: 13171812 dataset_size: 14000672.0 --- # Dataset Card for "image3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)