Suggested change in comment
#1
by
Ioana-Simion
- opened
- .gitattributes +0 -1
- README.md +0 -199
- configs/generate.yaml +31 -136
- data/images.tar.gz +0 -3
- pcbm_survey.py → pcbm_metashift.py +77 -70
- scenarios/task_1_bed_dog.json +0 -1038
- scenarios/task_2_keyboard_cat.json +0 -1038
- scenarios/task_3_bed_cat.json +0 -1038
- scenarios/task_4_couch_cat.json +0 -1038
- scenarios/task_5_painting_lamp.json +0 -1038
- scenarios/task_6_pillow_clock.json +0 -1038
- scenarios/task_7_television_fireplace.json +0 -1038
- scenarios/task_8_fork_tomato.json +0 -1038
- scenarios/task_9_car_snow.json +0 -1038
- scripts/generate.py +21 -32
.gitattributes
CHANGED
@@ -53,4 +53,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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-
data/images.tar.gz filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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README.md
CHANGED
@@ -1,202 +1,3 @@
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---
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license: mit
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-
dataset_info:
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-
- config_name: task_1_bed_dog
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features:
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- name: image
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dtype: image
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- name: label
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dtype:
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class_label:
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names:
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'0': airplane
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'1': bed
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'2': car
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'3': cow
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'4': keyboard
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splits:
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- name: train
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num_bytes: 66797993
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num_examples: 500
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-
- name: test
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num_bytes: 64562914
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num_examples: 500
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download_size: 583478941
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dataset_size: 131360907
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-
- config_name: task_2_keyboard_cat
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features:
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- name: image
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dtype: image
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- name: label
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dtype:
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class_label:
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names:
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'0': beach
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'1': bus
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'2': airplane
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'3': keyboard
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'4': bird
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splits:
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- name: train
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num_bytes: 63447902
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num_examples: 500
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- name: test
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num_examples: 500
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download_size: 583479033
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dataset_size: 129605541
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- config_name: task_3_bed_cat
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features:
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- name: image
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dtype: image
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-
- name: label
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dtype:
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class_label:
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names:
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'0': beach
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-
'1': car
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'2': airplane
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'3': bed
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'4': bird
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splits:
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- name: train
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num_examples: 500
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num_bytes: 62656142
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num_examples: 500
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download_size: 583478966
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dataset_size: 124746175
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- config_name: task_4_couch_cat
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features:
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- name: image
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dtype: image
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- name: label
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dtype:
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class_label:
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names:
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'0': beach
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'1': motorcycle
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'2': airplane
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'3': couch
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'4': bird
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splits:
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-
- name: train
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num_bytes: 63803928
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num_examples: 500
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-
- name: test
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num_bytes: 63231715
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num_examples: 500
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download_size: 583479031
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dataset_size: 127035643
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- config_name: task_5_painting_lamp
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features:
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- name: image
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dtype: image
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- name: label
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dtype:
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class_label:
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names:
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'0': bus
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'1': painting
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'2': cat
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'3': computer
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'4': snowboard
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splits:
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- name: train
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num_bytes: 69174955
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num_examples: 500
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-
- name: test
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num_bytes: 70107752
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-
num_examples: 500
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download_size: 583478917
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dataset_size: 139282707
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- config_name: task_6_pillow_clock
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features:
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- name: image
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dtype: image
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-
- name: label
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dtype:
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class_label:
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names:
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'0': bus
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'1': pillow
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-
'2': cat
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'3': computer
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'4': snowboard
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splits:
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-
- name: train
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-
num_bytes: 69826872
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num_examples: 500
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-
- name: test
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-
num_bytes: 68718820
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num_examples: 500
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download_size: 583478961
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dataset_size: 138545692
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- config_name: task_7_television_fireplace
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features:
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- name: image
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dtype: image
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- name: label
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dtype:
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class_label:
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names:
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'0': bus
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-
'1': television
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'2': cat
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-
'3': computer
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'4': snowboard
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-
splits:
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-
- name: train
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-
num_bytes: 69549792
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-
num_examples: 500
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-
- name: test
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-
num_bytes: 69635332
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-
num_examples: 500
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-
download_size: 583479001
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-
dataset_size: 139185124
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- config_name: task_8_fork_tomato
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features:
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-
- name: image
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-
dtype: image
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-
- name: label
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-
dtype:
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-
class_label:
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-
names:
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-
'0': car
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-
'1': fork
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-
'2': table
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-
'3': bed
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-
'4': computer
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-
splits:
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-
- name: train
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-
num_bytes: 69615189
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-
num_examples: 500
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-
- name: test
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-
num_bytes: 67036623
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-
num_examples: 500
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-
download_size: 583478839
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-
dataset_size: 136651812
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-
- config_name: task_9_car_snow
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-
features:
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-
- name: image
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-
dtype: image
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-
- name: label
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-
dtype:
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-
class_label:
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-
names:
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-
'0': dog
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-
'1': car
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-
'2': airplane
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-
'3': couch
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-
'4': bird
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-
splits:
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-
- name: train
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-
num_bytes: 62175078
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-
num_examples: 500
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-
- name: test
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-
num_bytes: 65483606
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-
num_examples: 500
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-
download_size: 583478968
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-
dataset_size: 127658684
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---
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1 |
---
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2 |
license: mit
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---
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configs/generate.yaml
CHANGED
@@ -1,136 +1,31 @@
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-
tasks:
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- name:
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seed: 42
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num_images_per_class_train:
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num_images_per_class_test:
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-
selected_classes:
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-
- airplane
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-
- bed
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-
- car
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-
- cow
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-
- keyboard
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-
experiments:
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-
- name:
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spurious_class: bed
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-
train_context: dog
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test_context: dog
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-
- name:
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seed: 42
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-
num_images_per_class_train:
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-
num_images_per_class_test:
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-
selected_classes:
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-
- beach
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-
- bus
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-
- airplane
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-
- keyboard
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-
- bird
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-
experiments:
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-
- name:
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-
spurious_class: keyboard
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train_context: cat
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test_context: cat
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- name: task_3
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seed: 42
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-
num_images_per_class_train: 100
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num_images_per_class_test: 100
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-
selected_classes:
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-
- beach
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-
- car
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-
- airplane
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-
- bed
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-
- bird
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-
experiments:
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- name: bed_cat
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spurious_class: bed
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train_context: cat
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test_context: cat
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-
- name: task_4
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-
seed: 42
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-
num_images_per_class_train: 100
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num_images_per_class_test: 100
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-
selected_classes:
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-
- beach
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-
- motorcycle
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-
- airplane
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-
- couch
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-
- bird
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-
experiments:
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-
- name: couch_cat
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spurious_class: couch
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train_context: cat
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test_context: cat
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-
- name: task_5
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-
seed: 42
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-
num_images_per_class_train: 100
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-
num_images_per_class_test: 100
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-
selected_classes:
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-
- bus
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-
- painting
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-
- cat
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-
- computer
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-
- snowboard
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-
experiments:
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-
- name: painting_lamp
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spurious_class: painting
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train_context: lamp
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test_context: lamp
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-
- name: task_6
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-
seed: 42
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-
num_images_per_class_train: 100
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-
num_images_per_class_test: 100
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-
selected_classes:
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-
- bus
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-
- pillow
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-
- cat
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-
- computer
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-
- snowboard
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-
experiments:
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-
- name: pillow_clock
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spurious_class: pillow
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train_context: clock
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-
test_context: clock
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-
- name: task_7
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-
seed: 42
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-
num_images_per_class_train: 100
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-
num_images_per_class_test: 100
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-
selected_classes:
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-
- bus
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-
- television
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-
- cat
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-
- computer
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-
- snowboard
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-
experiments:
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-
- name: television_fireplace
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-
spurious_class: television
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-
train_context: fireplace
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-
test_context: fireplace
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-
- name: task_8
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-
seed: 42
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-
num_images_per_class_train: 100
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-
num_images_per_class_test: 100
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-
selected_classes:
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-
- car
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-
- fork
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-
- table
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-
- bed
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-
- computer
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-
experiments:
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-
- name: fork_tomato
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-
spurious_class: fork
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-
train_context: tomato
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-
test_context: tomato
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-
- name: task_9
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-
seed: 42
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-
num_images_per_class_train: 100
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-
num_images_per_class_test: 100
|
126 |
-
selected_classes:
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127 |
-
- dog
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128 |
-
- car
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129 |
-
- airplane
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130 |
-
- couch
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131 |
-
- bird
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-
experiments:
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-
- name: car_snow
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-
spurious_class: car
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-
train_context: snow
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-
test_context: snow
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+
tasks:
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- name: task_abcck_u
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+
seed: 42
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+
num_images_per_class_train: 30
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5 |
+
num_images_per_class_test: 5
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+
selected_classes:
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+
- airplane
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8 |
+
- bed
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9 |
+
- car
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10 |
+
- cow
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11 |
+
- keyboard
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12 |
+
experiments:
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+
- name: bed_dog_dog
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+
spurious_class: bed
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15 |
+
train_context: dog
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+
test_context: dog
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+
- name: task_bbakb_u
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+
seed: 42
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+
num_images_per_class_train: 50
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+
num_images_per_class_test: 50
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21 |
+
selected_classes:
|
22 |
+
- beach
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23 |
+
- bus
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24 |
+
- airplane
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25 |
+
- keyboard
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26 |
+
- bird
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27 |
+
experiments:
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28 |
+
- name: keyboard_cat_cat
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29 |
+
spurious_class: keyboard
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30 |
+
train_context: cat
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+
test_context: cat
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data/images.tar.gz
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:ac0392e6a1148c1c3e4088625392a21ca3c4df2d14bcf50e25dfff5b70ea6cdc
|
3 |
-
size 583450619
|
|
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|
pcbm_survey.py → pcbm_metashift.py
RENAMED
@@ -9,14 +9,15 @@ _LICENSE = ""
|
|
9 |
_DESCRIPTION_TEMPLATE = Template(
|
10 |
"$num_classes-way image classification task "
|
11 |
"to test domain shift of class $spurious_class from "
|
12 |
-
"
|
13 |
"Selected classes: $selected_classes"
|
14 |
)
|
15 |
-
_REPO = "https://huggingface.co/datasets/dgcnz/
|
|
|
16 |
|
17 |
|
18 |
-
class
|
19 |
-
"""Builder Config for
|
20 |
|
21 |
def __init__(
|
22 |
self,
|
@@ -24,95 +25,100 @@ class PCBMSurveyConfig(datasets.BuilderConfig):
|
|
24 |
selected_classes: list[str],
|
25 |
spurious_class: str,
|
26 |
source_context: str,
|
|
|
27 |
**kwargs,
|
28 |
):
|
29 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
30 |
version=datasets.Version("1.0.0"), **kwargs
|
31 |
)
|
32 |
self.metadata_path = metadata_path
|
33 |
self.selected_classes = selected_classes
|
34 |
self.spurious_class = spurious_class
|
35 |
self.source_context = source_context
|
|
|
36 |
|
37 |
|
38 |
-
class
|
39 |
-
"""
|
40 |
-
|
41 |
-
"""
|
42 |
-
task_1_bed_dog.json | airplane, bed, car, cow, keyboard | bed(dog)
|
43 |
-
task_2_keyboard_cat.json | beach, bus, airplane, keyboard, bird | keyboard(cat)
|
44 |
-
task_3_bed_cat.json | beach, car, airplane, bed, bird | bed(cat)
|
45 |
-
task_4_couch_cat.json | beach, motorcycle, airplane, couch, bird | couch(cat)
|
46 |
-
task_5_painting_lamp.json | bus, painting, cat, computer, snowboard | painting(lamp)
|
47 |
-
task_6_pillow_clock.json | bus, pillow, cat, computer, snowboard | pillow(clock)
|
48 |
-
task_7_television_fireplace.json | bus, television, cat, computer, snowboard | television(fireplace)
|
49 |
-
task_8_fork_tomato.json | car, fork, table, bed, computer | fork(tomato)
|
50 |
-
task_9_car_snow.json | dog, car, airplane, couch, bird | car(snow)
|
51 |
-
"""
|
52 |
|
53 |
BUILDER_CONFIGS = [
|
54 |
-
|
55 |
-
name="
|
56 |
-
|
|
|
57 |
selected_classes=["airplane", "bed", "car", "cow", "keyboard"],
|
58 |
spurious_class="bed",
|
59 |
-
source_context="dog",
|
60 |
-
),
|
61 |
-
PCBMSurveyConfig(
|
62 |
-
name="task_2_keyboard_cat",
|
63 |
-
metadata_path="task_2_keyboard_cat.json",
|
64 |
-
selected_classes=["beach", "bus", "airplane", "keyboard", "bird"],
|
65 |
-
spurious_class="keyboard",
|
66 |
source_context="cat",
|
|
|
67 |
),
|
68 |
-
|
69 |
-
name="
|
70 |
-
|
71 |
-
|
|
|
72 |
spurious_class="bed",
|
73 |
-
source_context="
|
|
|
74 |
),
|
75 |
-
|
76 |
-
name="
|
77 |
-
|
78 |
-
|
79 |
-
|
|
|
80 |
source_context="cat",
|
|
|
81 |
),
|
82 |
-
|
83 |
-
name="
|
84 |
-
|
85 |
-
|
86 |
-
|
87 |
-
|
|
|
|
|
88 |
),
|
89 |
-
|
90 |
-
name="
|
91 |
-
|
92 |
-
|
93 |
-
|
94 |
-
|
|
|
|
|
95 |
),
|
96 |
-
|
97 |
-
name="
|
98 |
-
|
99 |
-
|
100 |
-
|
101 |
-
|
|
|
|
|
102 |
),
|
103 |
-
|
104 |
-
name="
|
105 |
-
|
106 |
-
|
107 |
-
|
108 |
-
|
|
|
|
|
109 |
),
|
110 |
-
|
111 |
-
name="
|
112 |
-
|
113 |
-
|
114 |
-
|
115 |
-
|
|
|
|
|
116 |
),
|
117 |
]
|
118 |
|
@@ -122,6 +128,7 @@ class PCBMSurvey(datasets.GeneratorBasedBuilder):
|
|
122 |
num_classes=len(self.config.selected_classes),
|
123 |
spurious_class=self.config.spurious_class,
|
124 |
source_context=self.config.source_context,
|
|
|
125 |
selected_classes=", ".join(self.config.selected_classes),
|
126 |
),
|
127 |
features=datasets.Features(
|
@@ -141,7 +148,7 @@ class PCBMSurvey(datasets.GeneratorBasedBuilder):
|
|
141 |
|
142 |
def _split_generators(self, dl_manager):
|
143 |
archive_path = dl_manager.download(f"{_REPO}/data/images.tar.gz")
|
144 |
-
metadata_path = dl_manager.download(f"{_REPO}/
|
145 |
return [
|
146 |
datasets.SplitGenerator(
|
147 |
name=datasets.Split.TRAIN,
|
|
|
9 |
_DESCRIPTION_TEMPLATE = Template(
|
10 |
"$num_classes-way image classification task "
|
11 |
"to test domain shift of class $spurious_class from "
|
12 |
+
"context $source_context to $target_context. "
|
13 |
"Selected classes: $selected_classes"
|
14 |
)
|
15 |
+
_REPO = "https://huggingface.co/datasets/dgcnz/pcbm-metashift/resolve/main"
|
16 |
+
_IMAGES_DIR = Path("data")
|
17 |
|
18 |
|
19 |
+
class PCBMMetashiftConfig(datasets.BuilderConfig):
|
20 |
+
"""Builder Config for Food-101"""
|
21 |
|
22 |
def __init__(
|
23 |
self,
|
|
|
25 |
selected_classes: list[str],
|
26 |
spurious_class: str,
|
27 |
source_context: str,
|
28 |
+
target_context: str,
|
29 |
**kwargs,
|
30 |
):
|
31 |
+
"""BuilderConfig for Food-101.
|
32 |
+
Args:
|
33 |
+
data_url: `string`, url to download the zip file from.
|
34 |
+
metadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
|
35 |
+
**kwargs: keyword arguments forwarded to super.
|
36 |
+
"""
|
37 |
+
super(PCBMMetashiftConfig, self).__init__(
|
38 |
version=datasets.Version("1.0.0"), **kwargs
|
39 |
)
|
40 |
self.metadata_path = metadata_path
|
41 |
self.selected_classes = selected_classes
|
42 |
self.spurious_class = spurious_class
|
43 |
self.source_context = source_context
|
44 |
+
self.target_context = target_context
|
45 |
|
46 |
|
47 |
+
class PCBMMetashift(datasets.GeneratorBasedBuilder):
|
48 |
+
"""Food-101 Images dataset"""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
49 |
|
50 |
BUILDER_CONFIGS = [
|
51 |
+
PCBMMetashiftConfig(
|
52 |
+
name="task_abcck_bed_cat_dog",
|
53 |
+
description="Task 1: bed(cat) -> bed(dog)",
|
54 |
+
metadata_path="configs/task_abcck_bed_cat_dog.json",
|
55 |
selected_classes=["airplane", "bed", "car", "cow", "keyboard"],
|
56 |
spurious_class="bed",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
57 |
source_context="cat",
|
58 |
+
target_context="dog",
|
59 |
),
|
60 |
+
PCBMMetashiftConfig(
|
61 |
+
name="task_abcck_bed_dog_cat",
|
62 |
+
description="Task 1: bed(dog) -> bed(cat)",
|
63 |
+
metadata_path="configs/task_abcck_bed_dog_cat.json",
|
64 |
+
selected_classes=["airplane", "bed", "car", "cow", "keyboard"],
|
65 |
spurious_class="bed",
|
66 |
+
source_context="dog",
|
67 |
+
target_context="cat",
|
68 |
),
|
69 |
+
PCBMMetashiftConfig(
|
70 |
+
name="task_abcck_car_cat_dog",
|
71 |
+
description="Task 1: car(cat) -> car(dog)",
|
72 |
+
metadata_path="configs/task_abcck_car_cat_dog.json",
|
73 |
+
selected_classes=["airplane", "bed", "car", "cow", "keyboard"],
|
74 |
+
spurious_class="car",
|
75 |
source_context="cat",
|
76 |
+
target_context="dog",
|
77 |
),
|
78 |
+
PCBMMetashiftConfig(
|
79 |
+
name="task_abcck_car_dog_cat",
|
80 |
+
description="Task 1: car(dog) -> car(cat)",
|
81 |
+
metadata_path="configs/task_abcck_car_dog_cat.json",
|
82 |
+
selected_classes=["airplane", "bed", "car", "cow", "keyboard"],
|
83 |
+
spurious_class="car",
|
84 |
+
source_context="dog",
|
85 |
+
target_context="cat",
|
86 |
),
|
87 |
+
PCBMMetashiftConfig(
|
88 |
+
name="task_bcmst_table_books_cat",
|
89 |
+
description="Task 2: table(books) -> table(cat)",
|
90 |
+
metadata_path="configs/task_bcmst_table_books_cat.json",
|
91 |
+
selected_classes=["beach", "computer", "motorcycle", "stove", "table"],
|
92 |
+
spurious_class="table",
|
93 |
+
source_context="books",
|
94 |
+
target_context="cat",
|
95 |
),
|
96 |
+
PCBMMetashiftConfig(
|
97 |
+
name="task_bcmst_table_books_dog",
|
98 |
+
description="Task 2: table(books) -> table(dog)",
|
99 |
+
metadata_path="configs/task_bcmst_table_books_dog.json",
|
100 |
+
selected_classes=["beach", "computer", "motorcycle", "stove", "table"],
|
101 |
+
spurious_class="table",
|
102 |
+
source_context="books",
|
103 |
+
target_context="dog",
|
104 |
),
|
105 |
+
PCBMMetashiftConfig(
|
106 |
+
name="task_bcmst_table_cat_dog",
|
107 |
+
description="Task 2: table(cat) -> table(dog)",
|
108 |
+
metadata_path="configs/task_bcmst_table_cat_dog.json",
|
109 |
+
selected_classes=["beach", "computer", "motorcycle", "stove", "table"],
|
110 |
+
spurious_class="table",
|
111 |
+
source_context="cat",
|
112 |
+
target_context="dog",
|
113 |
),
|
114 |
+
PCBMMetashiftConfig(
|
115 |
+
name="task_bcmst_table_dog_cat",
|
116 |
+
description="Task 2: table(dog) -> table(cat)",
|
117 |
+
metadata_path="configs/task_bcmst_table_dog_cat.json",
|
118 |
+
selected_classes=["beach", "computer", "motorcycle", "stove", "table"],
|
119 |
+
spurious_class="table",
|
120 |
+
source_context="dog",
|
121 |
+
target_context="cat",
|
122 |
),
|
123 |
]
|
124 |
|
|
|
128 |
num_classes=len(self.config.selected_classes),
|
129 |
spurious_class=self.config.spurious_class,
|
130 |
source_context=self.config.source_context,
|
131 |
+
target_context=self.config.target_context,
|
132 |
selected_classes=", ".join(self.config.selected_classes),
|
133 |
),
|
134 |
features=datasets.Features(
|
|
|
148 |
|
149 |
def _split_generators(self, dl_manager):
|
150 |
archive_path = dl_manager.download(f"{_REPO}/data/images.tar.gz")
|
151 |
+
metadata_path = dl_manager.download(f"{_REPO}/{self.config.metadata_path}")
|
152 |
return [
|
153 |
datasets.SplitGenerator(
|
154 |
name=datasets.Split.TRAIN,
|
scenarios/task_1_bed_dog.json
DELETED
@@ -1,1038 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"selected_classes": [
|
3 |
-
"airplane",
|
4 |
-
"bed",
|
5 |
-
"car",
|
6 |
-
"cow",
|
7 |
-
"keyboard"
|
8 |
-
],
|
9 |
-
"spurious_class": "bed",
|
10 |
-
"train_context": "dog",
|
11 |
-
"test_context": "dog",
|
12 |
-
"data_splits": {
|
13 |
-
"train": {
|
14 |
-
"airplane": [
|
15 |
-
"data/2385953.jpg",
|
16 |
-
"data/2325632.jpg",
|
17 |
-
"data/2316389.jpg",
|
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-
"data/2398387.jpg",
|
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-
"data/2345324.jpg",
|
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-
"data/2342077.jpg",
|
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-
"data/2339429.jpg",
|
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"data/2329339.jpg",
|
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-
"data/2397967.jpg",
|
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-
"data/2324580.jpg",
|
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-
"data/2390341.jpg",
|
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-
"data/2398307.jpg",
|
27 |
-
"data/2415500.jpg",
|
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-
"data/2375731.jpg",
|
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-
"data/2322960.jpg",
|
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-
"data/2380623.jpg",
|
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-
"data/2361873.jpg",
|
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-
"data/2316881.jpg",
|
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-
"data/2316697.jpg",
|
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-
"data/2323509.jpg",
|
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-
"data/2339092.jpg",
|
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-
"data/2340835.jpg",
|
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-
"data/2370453.jpg",
|
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-
"data/2381596.jpg",
|
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-
"data/2316497.jpg",
|
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"data/2377739.jpg",
|
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"data/2336861.jpg",
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"data/2395400.jpg",
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"data/2387688.jpg",
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"data/2393373.jpg",
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"data/2361473.jpg",
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"data/2339236.jpg",
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"data/2364714.jpg",
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"data/2380550.jpg",
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"data/2345477.jpg",
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"data/2406835.jpg",
|
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"data/2412948.jpg",
|
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"data/150351.jpg",
|
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"data/2400643.jpg",
|
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"data/2406369.jpg",
|
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"data/2331716.jpg",
|
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"data/2392900.jpg",
|
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"data/2361878.jpg",
|
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"data/2351900.jpg",
|
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"data/2331297.jpg",
|
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"data/2338620.jpg",
|
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|
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"data/2351645.jpg",
|
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"data/2323383.jpg",
|
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"data/2356653.jpg",
|
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"data/2324018.jpg",
|
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"data/2353980.jpg",
|
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|
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"data/2352332.jpg",
|
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|
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"data/2344125.jpg",
|
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"data/2406557.jpg",
|
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|
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|
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"data/2365664.jpg",
|
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|
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"data/2327552.jpg",
|
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"data/497957.jpg",
|
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"data/2356483.jpg",
|
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"data/2321764.jpg",
|
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"data/2376636.jpg",
|
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"data/2346978.jpg",
|
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"data/2409187.jpg",
|
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-
"data/2384667.jpg",
|
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"data/2383288.jpg",
|
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-
"data/2414867.jpg",
|
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-
"data/2411875.jpg",
|
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-
"data/2354444.jpg",
|
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-
"data/2379380.jpg",
|
89 |
-
"data/2336053.jpg",
|
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-
"data/2393724.jpg",
|
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-
"data/2320848.jpg",
|
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-
"data/2318530.jpg",
|
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"data/2388861.jpg",
|
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"data/2340229.jpg",
|
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"data/2402231.jpg",
|
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"data/2346695.jpg",
|
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"data/2322164.jpg",
|
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"data/2411590.jpg",
|
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-
"data/2412645.jpg",
|
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"data/2324458.jpg",
|
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"data/2365205.jpg",
|
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-
"data/2385391.jpg",
|
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-
"data/2409532.jpg",
|
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"data/2354878.jpg",
|
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-
"data/2332016.jpg",
|
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-
"data/2355446.jpg",
|
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"data/2353521.jpg",
|
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"data/2337990.jpg",
|
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"data/2389568.jpg",
|
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"data/2344355.jpg",
|
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-
"data/2393380.jpg",
|
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"data/892.jpg",
|
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-
"data/2390869.jpg",
|
114 |
-
"data/2387373.jpg"
|
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-
],
|
116 |
-
"bed": [
|
117 |
-
"data/2337628.jpg",
|
118 |
-
"data/2318876.jpg",
|
119 |
-
"data/2373693.jpg",
|
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-
"data/2367127.jpg",
|
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"data/2361504.jpg",
|
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"data/2343625.jpg",
|
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-
"data/2335827.jpg",
|
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-
"data/2329942.jpg",
|
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-
"data/2397167.jpg",
|
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-
"data/2321819.jpg",
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scenarios/task_2_keyboard_cat.json
DELETED
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|
scenarios/task_3_bed_cat.json
DELETED
@@ -1,1038 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"selected_classes": [
|
3 |
-
"beach",
|
4 |
-
"car",
|
5 |
-
"airplane",
|
6 |
-
"bed",
|
7 |
-
"bird"
|
8 |
-
],
|
9 |
-
"spurious_class": "bed",
|
10 |
-
"train_context": "cat",
|
11 |
-
"test_context": "cat",
|
12 |
-
"data_splits": {
|
13 |
-
"train": {
|
14 |
-
"beach": [
|
15 |
-
"data/2411801.jpg",
|
16 |
-
"data/2330329.jpg",
|
17 |
-
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|
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-
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|
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-
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|
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-
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|
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|
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|
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|
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|
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|
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116 |
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|
scenarios/task_4_couch_cat.json
DELETED
@@ -1,1038 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"selected_classes": [
|
3 |
-
"beach",
|
4 |
-
"motorcycle",
|
5 |
-
"airplane",
|
6 |
-
"couch",
|
7 |
-
"bird"
|
8 |
-
],
|
9 |
-
"spurious_class": "couch",
|
10 |
-
"train_context": "cat",
|
11 |
-
"test_context": "cat",
|
12 |
-
"data_splits": {
|
13 |
-
"train": {
|
14 |
-
"beach": [
|
15 |
-
"data/2411801.jpg",
|
16 |
-
"data/2330329.jpg",
|
17 |
-
"data/2317282.jpg",
|
18 |
-
"data/2357309.jpg",
|
19 |
-
"data/2353104.jpg",
|
20 |
-
"data/2349694.jpg",
|
21 |
-
"data/2337159.jpg",
|
22 |
-
"data/2327824.jpg",
|
23 |
-
"data/2417725.jpg",
|
24 |
-
"data/2399791.jpg",
|
25 |
-
"data/2325492.jpg",
|
26 |
-
"data/2404924.jpg",
|
27 |
-
"data/2379873.jpg",
|
28 |
-
"data/2318179.jpg",
|
29 |
-
"data/2318026.jpg",
|
30 |
-
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scenarios/task_5_painting_lamp.json
DELETED
@@ -1,1038 +0,0 @@
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|
scenarios/task_6_pillow_clock.json
DELETED
@@ -1,1038 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"selected_classes": [
|
3 |
-
"bus",
|
4 |
-
"pillow",
|
5 |
-
"cat",
|
6 |
-
"computer",
|
7 |
-
"snowboard"
|
8 |
-
],
|
9 |
-
"spurious_class": "pillow",
|
10 |
-
"train_context": "clock",
|
11 |
-
"test_context": "clock",
|
12 |
-
"data_splits": {
|
13 |
-
"train": {
|
14 |
-
"bus": [
|
15 |
-
"data/2328423.jpg",
|
16 |
-
"data/1592301.jpg",
|
17 |
-
"data/2360155.jpg",
|
18 |
-
"data/2355647.jpg",
|
19 |
-
"data/2351964.jpg",
|
20 |
-
"data/2335392.jpg",
|
21 |
-
"data/2326942.jpg",
|
22 |
-
"data/2414439.jpg",
|
23 |
-
"data/2323820.jpg",
|
24 |
-
"data/713642.jpg",
|
25 |
-
"data/2388000.jpg",
|
26 |
-
"data/1592968.jpg",
|
27 |
-
"data/1592769.jpg",
|
28 |
-
"data/2325292.jpg",
|
29 |
-
"data/2350679.jpg",
|
30 |
-
"data/2353820.jpg",
|
31 |
-
"data/2406238.jpg",
|
32 |
-
"data/1592448.jpg",
|
33 |
-
"data/2417379.jpg",
|
34 |
-
"data/2347373.jpg",
|
35 |
-
"data/2414438.jpg",
|
36 |
-
"data/2387679.jpg",
|
37 |
-
"data/2350987.jpg",
|
38 |
-
"data/2393851.jpg",
|
39 |
-
"data/713594.jpg",
|
40 |
-
"data/2360873.jpg",
|
41 |
-
"data/1159651.jpg",
|
42 |
-
"data/2340248.jpg",
|
43 |
-
"data/2388293.jpg",
|
44 |
-
"data/2372465.jpg",
|
45 |
-
"data/2360854.jpg",
|
46 |
-
"data/2338487.jpg",
|
47 |
-
"data/2350254.jpg",
|
48 |
-
"data/2371741.jpg",
|
49 |
-
"data/2326905.jpg",
|
50 |
-
"data/2325231.jpg",
|
51 |
-
"data/2379692.jpg",
|
52 |
-
"data/2326145.jpg",
|
53 |
-
"data/2376084.jpg",
|
54 |
-
"data/2372963.jpg",
|
55 |
-
"data/2358576.jpg",
|
56 |
-
"data/2315968.jpg",
|
57 |
-
"data/2395851.jpg",
|
58 |
-
"data/2412562.jpg",
|
59 |
-
"data/2331166.jpg",
|
60 |
-
"data/2379420.jpg",
|
61 |
-
"data/2321902.jpg",
|
62 |
-
"data/2415661.jpg",
|
63 |
-
"data/2363462.jpg",
|
64 |
-
"data/2376940.jpg",
|
65 |
-
"data/498205.jpg",
|
66 |
-
"data/2345852.jpg",
|
67 |
-
"data/2320190.jpg",
|
68 |
-
"data/2316690.jpg",
|
69 |
-
"data/2352845.jpg",
|
70 |
-
"data/2362820.jpg",
|
71 |
-
"data/2321967.jpg",
|
72 |
-
"data/2353824.jpg",
|
73 |
-
"data/2326826.jpg",
|
74 |
-
"data/2394759.jpg",
|
75 |
-
"data/2377356.jpg",
|
76 |
-
"data/2340703.jpg",
|
77 |
-
"data/2378255.jpg",
|
78 |
-
"data/2375410.jpg",
|
79 |
-
"data/2349393.jpg",
|
80 |
-
"data/2359128.jpg",
|
81 |
-
"data/2320531.jpg",
|
82 |
-
"data/2342316.jpg",
|
83 |
-
"data/2412162.jpg",
|
84 |
-
"data/2355643.jpg",
|
85 |
-
"data/2340868.jpg",
|
86 |
-
"data/2396404.jpg",
|
87 |
-
"data/2379557.jpg",
|
88 |
-
"data/2359575.jpg",
|
89 |
-
"data/2416585.jpg",
|
90 |
-
"data/2350833.jpg",
|
91 |
-
"data/2369268.jpg",
|
92 |
-
"data/2318193.jpg",
|
93 |
-
"data/2353225.jpg",
|
94 |
-
"data/1592980.jpg",
|
95 |
-
"data/2367401.jpg",
|
96 |
-
"data/2383464.jpg",
|
97 |
-
"data/2359367.jpg",
|
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|
scenarios/task_8_fork_tomato.json
DELETED
@@ -1,1038 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"selected_classes": [
|
3 |
-
"car",
|
4 |
-
"fork",
|
5 |
-
"table",
|
6 |
-
"bed",
|
7 |
-
"computer"
|
8 |
-
],
|
9 |
-
"spurious_class": "fork",
|
10 |
-
"train_context": "tomato",
|
11 |
-
"test_context": "tomato",
|
12 |
-
"data_splits": {
|
13 |
-
"train": {
|
14 |
-
"car": [
|
15 |
-
"data/2406856.jpg",
|
16 |
-
"data/2324048.jpg",
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-
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|
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-
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-
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-
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-
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-
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-
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|
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-
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-
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-
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-
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|
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-
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-
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-
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|
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|
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-
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|
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-
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|
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-
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|
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-
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|
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-
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|
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-
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|
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-
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|
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-
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|
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|
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|
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-
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|
115 |
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116 |
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|
scenarios/task_9_car_snow.json
DELETED
@@ -1,1038 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"selected_classes": [
|
3 |
-
"dog",
|
4 |
-
"car",
|
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scripts/generate.py
CHANGED
@@ -16,6 +16,9 @@ logger = logging.getLogger(__name__)
|
|
16 |
def setup_parser():
|
17 |
parser = argparse.ArgumentParser(description="Generate a domain shift dataset")
|
18 |
parser.add_argument("--config", type=str, required=True, help="Path to config file")
|
|
|
|
|
|
|
19 |
parser.add_argument(
|
20 |
"--full_candidate_subsets_path",
|
21 |
type=str,
|
@@ -28,12 +31,6 @@ def setup_parser():
|
|
28 |
required=True,
|
29 |
help="Path to VisualGenome images directory allImages/images",
|
30 |
)
|
31 |
-
parser.add_argument(
|
32 |
-
"--save_images",
|
33 |
-
action=argparse.BooleanOptionalAction,
|
34 |
-
required=True,
|
35 |
-
help="Save images to output directory",
|
36 |
-
)
|
37 |
return parser
|
38 |
|
39 |
|
@@ -91,15 +88,11 @@ class MetashiftFactory(object):
|
|
91 |
domains = self._get_all_domains_with_object(obj)
|
92 |
return {_id for domain in domains for _id in self.object_context_to_id[domain]}
|
93 |
|
94 |
-
def _get_image_ids(
|
95 |
-
self, obj: str, context: str | None, exclude_context: str | None = None
|
96 |
-
) -> set[str]:
|
97 |
"""Get image ids for the domain `obj(context)`, optionally excluding a specific context."""
|
98 |
if exclude_context is not None:
|
99 |
all_ids = self._get_all_image_ids_with_object(obj)
|
100 |
-
exclude_ids = self.object_context_to_id[
|
101 |
-
get_ms_domain_name(obj, exclude_context)
|
102 |
-
]
|
103 |
return all_ids - exclude_ids
|
104 |
elif context is not None:
|
105 |
return self.object_context_to_id[get_ms_domain_name(obj, context)]
|
@@ -115,9 +108,7 @@ class MetashiftFactory(object):
|
|
115 |
if train_context == test_context:
|
116 |
# try alternative to remove the need of double context entries
|
117 |
train_ids = self._get_image_ids(cls, context=train_context)
|
118 |
-
test_ids = self._get_image_ids(
|
119 |
-
cls, context=None, exclude_context=test_context
|
120 |
-
)
|
121 |
domain_ids[cls] = [train_ids, test_ids]
|
122 |
logger.info(
|
123 |
f"{get_ms_domain_name(cls, train_context or '*')}: {len(train_ids)}"
|
@@ -149,11 +140,11 @@ class MetashiftFactory(object):
|
|
149 |
for cls, (train_ids, test_ids) in domains.items():
|
150 |
try:
|
151 |
sampled_train_ids = random.Random(seed).sample(
|
152 |
-
|
153 |
)
|
154 |
test_ids = test_ids - set(sampled_train_ids)
|
155 |
sampled_test_ids = random.Random(seed).sample(
|
156 |
-
|
157 |
)
|
158 |
except ValueError:
|
159 |
logger.error(
|
@@ -231,25 +222,23 @@ class MetashiftFactory(object):
|
|
231 |
new_data[dataset_name] = data
|
232 |
return new_data
|
233 |
|
234 |
-
def save_all(self, info: dict[str, MetashiftData]
|
235 |
"""Save all datasets to the given directory."""
|
236 |
-
out_path = Path(
|
237 |
data_path = out_path / "data"
|
238 |
data_path.mkdir(parents=True, exist_ok=True)
|
239 |
-
scenarios_path = out_path / "scenarios"
|
240 |
-
scenarios_path.mkdir(parents=True, exist_ok=True)
|
241 |
|
242 |
unique_ids = self._get_unique_ids_from_info(info)
|
243 |
data = self._replace_ids_with_paths(info, data_path, out_path)
|
244 |
-
for dataset_name, data in info.items():
|
245 |
-
|
246 |
-
|
247 |
-
|
248 |
-
|
249 |
-
|
250 |
-
|
251 |
-
|
252 |
-
|
253 |
|
254 |
|
255 |
def get_dataset_name(task_name: str, experiment_name: str) -> str:
|
@@ -280,8 +269,8 @@ def main():
|
|
280 |
assert dataset_name not in info
|
281 |
info[dataset_name] = data
|
282 |
|
283 |
-
metashift_factory.save_all(
|
284 |
|
285 |
|
286 |
if __name__ == "__main__":
|
287 |
-
main()
|
|
|
16 |
def setup_parser():
|
17 |
parser = argparse.ArgumentParser(description="Generate a domain shift dataset")
|
18 |
parser.add_argument("--config", type=str, required=True, help="Path to config file")
|
19 |
+
parser.add_argument(
|
20 |
+
"--output_dir", type=str, required=True, help="Path to output directory"
|
21 |
+
)
|
22 |
parser.add_argument(
|
23 |
"--full_candidate_subsets_path",
|
24 |
type=str,
|
|
|
31 |
required=True,
|
32 |
help="Path to VisualGenome images directory allImages/images",
|
33 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
34 |
return parser
|
35 |
|
36 |
|
|
|
88 |
domains = self._get_all_domains_with_object(obj)
|
89 |
return {_id for domain in domains for _id in self.object_context_to_id[domain]}
|
90 |
|
91 |
+
def _get_image_ids(self, obj: str, context: str | None, exclude_context: str | None = None) -> set[str]:
|
|
|
|
|
92 |
"""Get image ids for the domain `obj(context)`, optionally excluding a specific context."""
|
93 |
if exclude_context is not None:
|
94 |
all_ids = self._get_all_image_ids_with_object(obj)
|
95 |
+
exclude_ids = self.object_context_to_id[get_ms_domain_name(obj, exclude_context)]
|
|
|
|
|
96 |
return all_ids - exclude_ids
|
97 |
elif context is not None:
|
98 |
return self.object_context_to_id[get_ms_domain_name(obj, context)]
|
|
|
108 |
if train_context == test_context:
|
109 |
# try alternative to remove the need of double context entries
|
110 |
train_ids = self._get_image_ids(cls, context=train_context)
|
111 |
+
test_ids = self._get_image_ids(cls, context=None, exclude_context=test_context)
|
|
|
|
|
112 |
domain_ids[cls] = [train_ids, test_ids]
|
113 |
logger.info(
|
114 |
f"{get_ms_domain_name(cls, train_context or '*')}: {len(train_ids)}"
|
|
|
140 |
for cls, (train_ids, test_ids) in domains.items():
|
141 |
try:
|
142 |
sampled_train_ids = random.Random(seed).sample(
|
143 |
+
list(train_ids), num_train_images_per_class
|
144 |
)
|
145 |
test_ids = test_ids - set(sampled_train_ids)
|
146 |
sampled_test_ids = random.Random(seed).sample(
|
147 |
+
list(test_ids), num_test_images_per_class
|
148 |
)
|
149 |
except ValueError:
|
150 |
logger.error(
|
|
|
222 |
new_data[dataset_name] = data
|
223 |
return new_data
|
224 |
|
225 |
+
def save_all(self, out_dir: str, info: dict[str, MetashiftData]):
|
226 |
"""Save all datasets to the given directory."""
|
227 |
+
out_path = Path(out_dir)
|
228 |
data_path = out_path / "data"
|
229 |
data_path.mkdir(parents=True, exist_ok=True)
|
|
|
|
|
230 |
|
231 |
unique_ids = self._get_unique_ids_from_info(info)
|
232 |
data = self._replace_ids_with_paths(info, data_path, out_path)
|
233 |
+
# for dataset_name, data in info.items():
|
234 |
+
# with open(out_path / f"{dataset_name}.json", "w") as f:
|
235 |
+
# f.write(data.model_dump_json(indent=2))
|
236 |
+
|
237 |
+
# with tarfile.open(data_path / "images.tar.gz", "w:gz") as tar:
|
238 |
+
# for _id in unique_ids:
|
239 |
+
# tar.add(
|
240 |
+
# Path(self.visual_genome_images_dir) / f"{_id}.jpg",
|
241 |
+
# )
|
242 |
|
243 |
|
244 |
def get_dataset_name(task_name: str, experiment_name: str) -> str:
|
|
|
269 |
assert dataset_name not in info
|
270 |
info[dataset_name] = data
|
271 |
|
272 |
+
metashift_factory.save_all(args.output_dir, info)
|
273 |
|
274 |
|
275 |
if __name__ == "__main__":
|
276 |
+
main()
|