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Datasets:
Shijia2025
/
Struggle-Dataset

Tasks:
Video Classification
Modalities:
Text
Video
Formats:
text
Languages:
English
Size:
1K - 10K
ArXiv:
Libraries:
Datasets
License:
Dataset card Data Studio Files
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Community
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Shijia2025 commited on
Commit
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1 Parent(s): 7d12b32

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  1. Pipes-Struggle/01_00_0001.MP4 +3 -0
  2. Pipes-Struggle/01_00_0002.MP4 +3 -0
  3. Pipes-Struggle/01_00_0003.MP4 +3 -0
  4. Pipes-Struggle/01_00_0004.MP4 +3 -0
  5. Pipes-Struggle/01_00_0005.MP4 +3 -0
  6. Pipes-Struggle/01_00_0006.MP4 +3 -0
  7. Pipes-Struggle/01_00_0007.MP4 +3 -0
  8. Pipes-Struggle/01_00_0008.MP4 +3 -0
  9. Pipes-Struggle/01_00_0009.MP4 +3 -0
  10. Pipes-Struggle/01_00_0010.MP4 +3 -0
  11. Pipes-Struggle/01_00_0012.MP4 +3 -0
  12. Pipes-Struggle/01_00_0016.MP4 +3 -0
  13. Pipes-Struggle/01_00_0017.MP4 +3 -0
  14. splits/Pipes-Struggle/test_1.txt +275 -0
  15. splits/Pipes-Struggle/test_2.txt +229 -0
  16. splits/Pipes-Struggle/test_3.txt +244 -0
  17. splits/Pipes-Struggle/test_4.txt +263 -0
  18. splits/Pipes-Struggle/train_1.txt +736 -0
  19. splits/Pipes-Struggle/train_2.txt +782 -0
  20. splits/Pipes-Struggle/train_3.txt +767 -0
  21. splits/Pipes-Struggle/train_4.txt +748 -0
  22. splits/Tent-Struggle/test_1.txt +138 -0
  23. splits/Tent-Struggle/test_2.txt +147 -0
  24. splits/Tent-Struggle/test_3.txt +146 -0
  25. splits/Tent-Struggle/test_4.txt +154 -0
  26. splits/Tent-Struggle/train_1.txt +447 -0
  27. splits/Tent-Struggle/train_2.txt +438 -0
  28. splits/Tent-Struggle/train_3.txt +439 -0
  29. splits/Tent-Struggle/train_4.txt +431 -0
  30. splits/Tower-Struggle/test_1.txt +65 -0
  31. splits/Tower-Struggle/test_2.txt +54 -0
  32. splits/Tower-Struggle/test_3.txt +67 -0
  33. splits/Tower-Struggle/test_4.txt +50 -0
  34. splits/Tower-Struggle/train_1.txt +171 -0
  35. splits/Tower-Struggle/train_2.txt +182 -0
  36. splits/Tower-Struggle/train_3.txt +169 -0
  37. splits/Tower-Struggle/train_4.txt +186 -0
  38. tools/build_frames.py +52 -0
  39. tools/human_baseline_stats.py +81 -0
  40. tools/stratifiedgroupkfold.py +98 -0
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splits/Pipes-Struggle/test_3.txt ADDED
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splits/Pipes-Struggle/test_4.txt ADDED
@@ -0,0 +1,263 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Pipes-Struggle/train_1.txt ADDED
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splits/Tent-Struggle/test_1.txt ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tent-Struggle/test_2.txt ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tent-Struggle/test_3.txt ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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splits/Tent-Struggle/test_4.txt ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tent-Struggle/train_1.txt ADDED
@@ -0,0 +1,447 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tent-Struggle/train_4.txt ADDED
@@ -0,0 +1,431 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tower-Struggle/test_1.txt ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tower-Struggle/test_2.txt ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tower-Struggle/test_3.txt ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tower-Struggle/test_4.txt ADDED
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splits/Tower-Struggle/train_1.txt ADDED
@@ -0,0 +1,171 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tower-Struggle/train_2.txt ADDED
@@ -0,0 +1,182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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splits/Tower-Struggle/train_3.txt ADDED
@@ -0,0 +1,169 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ 12_00_0002
112
+ 13_00_0006
113
+ 11_00_0002
114
+ 13_00_0002
115
+ 02_00_0000
116
+ 13_00_0012
117
+ 18_00_0000
118
+ 16_00_0006
119
+ 18_00_0013
120
+ 08_00_0002
121
+ 03_00_0002
122
+ 09_00_0004
123
+ 12_00_0003
124
+ 08_00_0000
125
+ 02_00_0002
126
+ 06_00_0002
127
+ 03_00_0010
128
+ 18_00_0002
129
+ 13_00_0009
130
+ 18_00_0009
131
+ 18_00_0012
132
+ 08_00_0008
133
+ 15_00_0007
134
+ 03_00_0004
135
+ 13_00_0017
136
+ 08_00_0007
137
+ 13_00_0004
138
+ 15_00_0005
139
+ 13_00_0018
140
+ 08_00_0001
141
+ 03_00_0000
142
+ 08_00_0003
143
+ 18_00_0011
144
+ 15_00_0006
145
+ 02_00_0014
146
+ 01_00_0002
147
+ 02_00_0016
148
+ 13_00_0013
149
+ 02_00_0027
150
+ 18_00_0004
151
+ 13_00_0008
152
+ 15_00_0002
153
+ 02_00_0024
154
+ 20_00_0001
155
+ 12_00_0012
156
+ 04_00_0010
157
+ 15_00_0003
158
+ 13_00_0020
159
+ 10_00_0004
160
+ 02_00_0013
161
+ 09_00_0003
162
+ 02_00_0017
163
+ 18_00_0007
164
+ 03_00_0012
165
+ 02_00_0008
166
+ 04_00_0006
167
+ 05_00_0004
168
+ 04_00_0005
169
+ 03_00_0003
splits/Tower-Struggle/train_4.txt ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 14_00_0030
2
+ 19_00_0003
3
+ 14_00_0031
4
+ 14_00_0039
5
+ 07_00_0001
6
+ 04_00_0004
7
+ 12_00_0011
8
+ 14_00_0037
9
+ 14_00_0005
10
+ 02_00_0019
11
+ 02_00_0026
12
+ 18_00_0015
13
+ 02_00_0020
14
+ 18_00_0016
15
+ 17_00_0003
16
+ 12_00_0014
17
+ 04_00_0003
18
+ 14_00_0017
19
+ 06_00_0003
20
+ 19_00_0000
21
+ 14_00_0033
22
+ 18_00_0010
23
+ 12_00_0004
24
+ 14_00_0012
25
+ 06_00_0000
26
+ 06_00_0001
27
+ 10_00_0001
28
+ 19_00_0015
29
+ 19_00_0017
30
+ 14_00_0019
31
+ 14_00_0029
32
+ 12_00_0006
33
+ 02_00_0009
34
+ 02_00_0015
35
+ 02_00_0028
36
+ 02_00_0005
37
+ 19_00_0013
38
+ 04_00_0001
39
+ 14_00_0038
40
+ 14_00_0034
41
+ 03_00_0014
42
+ 14_00_0035
43
+ 14_00_0027
44
+ 14_00_0004
45
+ 18_00_0017
46
+ 02_00_0010
47
+ 04_00_0007
48
+ 14_00_0026
49
+ 19_00_0014
50
+ 19_00_0005
51
+ 19_00_0002
52
+ 06_00_0004
53
+ 10_00_0005
54
+ 18_00_0008
55
+ 12_00_0010
56
+ 18_00_0014
57
+ 12_00_0005
58
+ 04_00_0009
59
+ 12_00_0000
60
+ 03_00_0013
61
+ 14_00_0002
62
+ 18_00_0018
63
+ 03_00_0007
64
+ 02_00_0018
65
+ 12_00_0007
66
+ 19_00_0011
67
+ 14_00_0028
68
+ 14_00_0000
69
+ 19_00_0004
70
+ 07_00_0003
71
+ 02_00_0001
72
+ 04_00_0008
73
+ 12_00_0013
74
+ 02_00_0007
75
+ 14_00_0001
76
+ 16_00_0005
77
+ 19_00_0016
78
+ 14_00_0020
79
+ 02_00_0029
80
+ 02_00_0012
81
+ 03_00_0008
82
+ 16_00_0001
83
+ 14_00_0036
84
+ 03_00_0005
85
+ 11_00_0004
86
+ 12_00_0001
87
+ 14_00_0010
88
+ 14_00_0025
89
+ 14_00_0016
90
+ 02_00_0004
91
+ 10_00_0003
92
+ 02_00_0021
93
+ 19_00_0008
94
+ 02_00_0011
95
+ 11_00_0005
96
+ 14_00_0032
97
+ 09_00_0002
98
+ 03_00_0006
99
+ 03_00_0001
100
+ 04_00_0000
101
+ 19_00_0009
102
+ 16_00_0002
103
+ 12_00_0008
104
+ 14_00_0011
105
+ 10_00_0006
106
+ 17_00_0002
107
+ 14_00_0014
108
+ 02_00_0006
109
+ 09_00_0001
110
+ 03_00_0011
111
+ 02_00_0025
112
+ 18_00_0006
113
+ 16_00_0004
114
+ 18_00_0005
115
+ 11_00_0003
116
+ 09_00_0000
117
+ 18_00_0003
118
+ 16_00_0000
119
+ 18_00_0001
120
+ 02_00_0022
121
+ 14_00_0024
122
+ 10_00_0000
123
+ 02_00_0023
124
+ 03_00_0015
125
+ 12_00_0009
126
+ 14_00_0003
127
+ 16_00_0003
128
+ 19_00_0012
129
+ 02_00_0003
130
+ 14_00_0023
131
+ 04_00_0002
132
+ 03_00_0009
133
+ 10_00_0002
134
+ 12_00_0002
135
+ 11_00_0002
136
+ 02_00_0000
137
+ 18_00_0000
138
+ 16_00_0006
139
+ 18_00_0013
140
+ 03_00_0002
141
+ 09_00_0004
142
+ 12_00_0003
143
+ 14_00_0022
144
+ 17_00_0001
145
+ 02_00_0002
146
+ 06_00_0002
147
+ 03_00_0010
148
+ 14_00_0018
149
+ 18_00_0002
150
+ 14_00_0008
151
+ 18_00_0009
152
+ 18_00_0012
153
+ 19_00_0010
154
+ 03_00_0004
155
+ 19_00_0006
156
+ 03_00_0000
157
+ 14_00_0006
158
+ 14_00_0015
159
+ 18_00_0011
160
+ 19_00_0018
161
+ 02_00_0014
162
+ 02_00_0016
163
+ 14_00_0009
164
+ 14_00_0007
165
+ 17_00_0000
166
+ 19_00_0001
167
+ 02_00_0027
168
+ 18_00_0004
169
+ 02_00_0024
170
+ 19_00_0007
171
+ 07_00_0002
172
+ 12_00_0012
173
+ 04_00_0010
174
+ 10_00_0004
175
+ 02_00_0013
176
+ 09_00_0003
177
+ 07_00_0000
178
+ 14_00_0021
179
+ 02_00_0017
180
+ 18_00_0007
181
+ 03_00_0012
182
+ 14_00_0013
183
+ 02_00_0008
184
+ 04_00_0006
185
+ 04_00_0005
186
+ 03_00_0003
tools/build_frames.py ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import glob
3
+ import sys
4
+ from tqdm import tqdm
5
+
6
+
7
+ root_path = r"/home/shijia/Documents/Struggle-aware-deep-models/EPIC-Struggle-Dataset"
8
+
9
+
10
+ def extract_frames(root_path, out_path, dataset_name):
11
+ print("Extracting Frames")
12
+ epic_pipes_path = os.path.join(root_path, dataset_name)
13
+ epic_pipes_vidlist = os.listdir(epic_pipes_path)
14
+ out_path = os.path.join(out_path, dataset_name)
15
+ with tqdm(total=len(epic_pipes_vidlist)) as pbar:
16
+ for vid in epic_pipes_vidlist:
17
+ vid_name = vid.split('.')[0]
18
+ out_path_sub = os.path.join(out_path, vid_name)
19
+ if not os.path.isdir(out_path_sub):
20
+ # print("creating folder: " + out_path_sub)
21
+ os.mkdir(out_path_sub)
22
+ # extract frames first
23
+ import cv2
24
+ video = cv2.VideoCapture(os.path.join(epic_pipes_path, vid))
25
+ count = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
26
+ for i in range(count):
27
+ ret, frame = video.read()
28
+ assert ret
29
+ cv2.imwrite('{}/img_{:03d}.jpg'.format(out_path_sub, i), frame)
30
+ pbar.update()
31
+ print("Finished!")
32
+
33
+
34
+ def main(root_path):
35
+ out_path = os.path.join(root_path, 'extracted_frames')
36
+ # prepare for the EPIC-Pipes dataset
37
+ print("Preparing EPIC-Pipes Dataset")
38
+ extract_frames(root_path, out_path, 'EPIC_Pipes')
39
+
40
+ # prepare for the EPIC-Tent dataset
41
+ print("Preparing EPIC-Tent Dataset")
42
+ extract_frames(root_path, out_path, 'EPIC_Tent')
43
+
44
+ # prepare for the EPIC-Tower dataset
45
+ print("Preparing EPIC-Tower Dataset")
46
+ extract_frames(root_path, out_path, 'EPIC_Tower')
47
+
48
+
49
+ if __name__ == '__main__':
50
+ main(root_path)
51
+
52
+
tools/human_baseline_stats.py ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import argparse
3
+ import numpy as np
4
+ import pandas
5
+
6
+
7
+ def get_args():
8
+ parser = argparse.ArgumentParser()
9
+
10
+ parser.add_argument('--dataset_path', type=str,
11
+ default='/home/alexa/Shijia/Struggle-aware-deep-models/EPIC-Struggle-Dataset/')
12
+
13
+ return parser.parse_args()
14
+
15
+
16
+ if __name__ == '__main__':
17
+ args = get_args()
18
+
19
+ for epic_task in ['EPIC_Pipes', 'EPIC_Tent', 'EPIC_Tower']:
20
+ print('Dataset ' + epic_task)
21
+
22
+ for split in [1, 2, 3, 4]:
23
+ print('test split {}'.format(split))
24
+ # test video list directories
25
+ vid_split_dir = os.path.join(args.dataset_path, 'splits', epic_task, 'test_{}.txt'.format(split))
26
+ # annotation directories for different tasks
27
+ if epic_task == 'EPIC_Tent':
28
+ annotation_dir = os.path.join(args.dataset_path, 'annotation', 'UoB_str_tent.csv')
29
+ num_voters = 20
30
+ elif epic_task == 'EPIC_Pipes':
31
+ annotation_dir = os.path.join(args.dataset_path, 'annotation', 'UoB_str_pipe.csv')
32
+ num_voters = 20
33
+ elif epic_task == 'EPIC_Tower':
34
+ annotation_dir = os.path.join(args.dataset_path, 'annotation', 'UoB_str_tower.csv')
35
+ num_voters = 15
36
+
37
+ with open(vid_split_dir) as file:
38
+ vid_list = [line.rstrip() for line in file]
39
+
40
+ for num_classes in [2, 4]:
41
+ print('Number of classes: {}'.format(num_classes))
42
+ acc_per_vid = 0
43
+ for vid in vid_list:
44
+ if not os.path.exists(os.path.join(args.dataset_path, 'extracted_frames', epic_task, vid)):
45
+ continue
46
+ df = pandas.read_csv(annotation_dir)
47
+
48
+ row_index = df.index[df['VideoID'] == vid].tolist()[0]
49
+ vid_label = df.loc[row_index, 'GA'] # Using Golden Annotation 1, 2, 3, and 4
50
+
51
+ if num_classes == 4:
52
+ # manipulate golden annotations
53
+ ga_label = np.array([vid_label - 1])
54
+ # manipulate voters annotations
55
+ voters_labels = []
56
+ for i in range(num_voters):
57
+ voter_individual = df.loc[row_index, 'Vote{}'.format(i+1)]
58
+ voters_labels.append(voter_individual-1)
59
+ elif num_classes == 2:
60
+ # manipulate golden annotations
61
+ if vid_label == 1 or vid_label == 2:
62
+ # non-struggle
63
+ ga_label = np.array([0])
64
+ elif vid_label == 3 or vid_label == 4:
65
+ # struggle
66
+ ga_label = np.array([1])
67
+ # manipulate voters annotations
68
+ voters_labels = []
69
+ for i in range(num_voters):
70
+ voter_individual = df.loc[row_index, 'Vote{}'.format(i+1)]
71
+ if voter_individual == 1 or voter_individual == 2:
72
+ # non-struggle
73
+ voters_labels.append(0)
74
+ elif voter_individual == 3 or voter_individual == 4:
75
+ # struggle
76
+ voters_labels.append(1)
77
+ voters_labels_arr = np.array(voters_labels)
78
+ acc_per_vid += sum(voters_labels_arr == ga_label) / len(voters_labels)
79
+ acc_total = acc_per_vid / len(vid_list) * 100
80
+ print('Human Baseline Accuracy: {:.2f}%'.format(acc_total))
81
+
tools/stratifiedgroupkfold.py ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import pandas
3
+ import numpy as np
4
+ from sklearn.model_selection import StratifiedGroupKFold
5
+
6
+
7
+ root_dir = "/home/hal/Shijia/Struggle-aware-deep-models/EPIC-Struggle-Dataset/"
8
+
9
+ epic_pipe_dir = os.path.join(root_dir, "EPIC_Tower")
10
+ annotation_dir = os.path.join(root_dir, "annotation")
11
+ splits_dir = os.path.join(root_dir, 'splits', 'EPIC_Tower')
12
+ epic_pipe_annotation = os.path.join(annotation_dir, "UoB_str_tower.csv")
13
+
14
+
15
+ if __name__ == '__main__':
16
+
17
+ vid_name_ls = os.listdir(epic_pipe_dir)
18
+ print('Total number of videos', len(vid_name_ls))
19
+ print('training set', int(round(len(vid_name_ls) * 3 / 4, 0)), 'test set', len(vid_name_ls)-int(round(len(vid_name_ls) * 3 / 4, 0)))
20
+ df = pandas.read_csv(epic_pipe_annotation)
21
+
22
+ participant_id_ls = [vid_name.split('_')[0] for vid_name in vid_name_ls]
23
+ participant_id_ls = list(set(participant_id_ls))
24
+ print('number of participants', len(participant_id_ls))
25
+ participant_stat_dict = {}
26
+ for participant_id in participant_id_ls:
27
+ participant_stat_dict[participant_id] = {'count': 0, 'bin_count': [0, 0], 'four-way_count': [0, 0, 0, 0]}
28
+ for vid_name in vid_name_ls:
29
+ vid_id = vid_name.split('.')[0]
30
+ row_index = df.index[df['VideoID'] == vid_id].tolist()[0]
31
+ vid_label = df.loc[row_index, 'GA'] # 1, 2, 3, 4
32
+
33
+ if participant_id == vid_name.split('_')[0]:
34
+ participant_stat_dict[participant_id]['count'] += 1
35
+ participant_stat_dict[participant_id]['four-way_count'][vid_label-1] += 1
36
+ participant_stat_dict[participant_id]['bin_count'][0 if vid_label in [1, 2] else 1] += 1
37
+
38
+ for k, v in participant_stat_dict.items():
39
+ print(k, v['count'], v['bin_count'], v['four-way_count'])
40
+
41
+ # Prepared for the StratifiedGroupKFold
42
+ X = []
43
+ Y = []
44
+ Groups = []
45
+ for vid_id in vid_name_ls:
46
+ vid_id = vid_id.split('.')[0]
47
+ row_index = df.index[df['VideoID'] == vid_id].tolist()[0]
48
+ vid_label = df.loc[row_index, 'GA'] # 1, 2, 3, 4
49
+ vid_group = vid_id.split('_')[0]
50
+ X.append(vid_id)
51
+ Y.append(vid_label)
52
+ Groups.append(vid_group)
53
+
54
+ sgkf = StratifiedGroupKFold(n_splits=4)
55
+ split_count = 0
56
+ for train, test in sgkf.split(X, Y, groups=Groups):
57
+ split_count += 1
58
+ print('# training split', len(train), '# test split', len(test))
59
+ # Training split statistics
60
+ training_participants_id = []
61
+ for i in train:
62
+ training_participants_id.append(X[i].split('_')[0])
63
+ training_participants_id_ls = list(set(training_participants_id))
64
+ print(training_participants_id_ls)
65
+ for training_pid in training_participants_id_ls:
66
+ print(training_pid,
67
+ participant_stat_dict[training_pid]['count'],
68
+ participant_stat_dict[training_pid]['bin_count'],
69
+ participant_stat_dict[training_pid]['four-way_count'])
70
+ # Test split statistics
71
+ test_participants_id = []
72
+ for i in test:
73
+ test_participants_id.append(X[i].split('_')[0])
74
+ test_participants_id_ls = list(set(test_participants_id))
75
+ print(test_participants_id_ls)
76
+ bin_count_ls = []
77
+ four_way_count_ls = []
78
+ for test_pid in test_participants_id_ls:
79
+ print(test_pid,
80
+ participant_stat_dict[test_pid]['count'],
81
+ participant_stat_dict[test_pid]['bin_count'],
82
+ participant_stat_dict[test_pid]['four-way_count'])
83
+ bin_count_ls.append(participant_stat_dict[test_pid]['bin_count'])
84
+ four_way_count_ls.append(participant_stat_dict[test_pid]['four-way_count'])
85
+ bin_count_arr = np.array(bin_count_ls)
86
+ four_way_count_arr = np.array(four_way_count_ls)
87
+ print('bin cls stats', np.sum(bin_count_arr, axis=0))
88
+ print('four-way cls stats', np.sum(four_way_count_arr, axis=0))
89
+
90
+ # Save the video IDs into .txt files
91
+ with open(os.path.join(splits_dir, 'train_{}.txt'.format(int(split_count))), 'a') as f:
92
+ for item in [X[i] for i in train]:
93
+ f.write(item + '\n')
94
+ with open(os.path.join(splits_dir, 'test_{}.txt'.format(int(split_count))), 'a') as f:
95
+ for item in [X[i] for i in test]:
96
+ f.write(item + '\n')
97
+ # import pdb; pdb.set_trace()
98
+