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---
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)