Convert dataset to Parquet
Browse filesConvert dataset to Parquet.
- .gitattributes +9 -0
- README.md +42 -24
- data/contrast-00000-of-00001.parquet +3 -0
- data/gaussian_noise-00000-of-00001.parquet +3 -0
- data/impulse_noise-00000-of-00001.parquet +3 -0
- data/jpeg_compression-00000-of-00001.parquet +3 -0
- data/motion_blur-00000-of-00001.parquet +3 -0
- data/pixelate-00000-of-00001.parquet +3 -0
- data/spatter-00000-of-00001.parquet +3 -0
- data/test-00000-of-00001.parquet +3 -0
- data/train-00000-of-00001.parquet +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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data/train-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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data/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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data/contrast-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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data/gaussian_noise-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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data/impulse_noise-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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data/jpeg_compression-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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data/motion_blur-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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data/pixelate-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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data/spatter-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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dataset_info:
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features:
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- name: image
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@@ -32,9 +38,8 @@ dataset_info:
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'22': red and white triangle rough / bumpy road warning
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'23': red and white triangle car skidding / slipping warning
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'24': red and white triangle with merging / narrow lanes warning
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'25':
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-
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work warning
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'26': red and white triangle with traffic light approaching warning
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'27': red and white triangle with person walking warning
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'28': red and white triangle with child and person walking warning
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@@ -50,48 +55,61 @@ dataset_info:
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'38': blue circle with white keep right arrow mandatory
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'39': blue circle with white keep left arrow mandatory
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'40': blue circle with white arrows indicating a traffic circle
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'41':
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white circle with gray strike bar indicating no passing for cars has
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ended
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'42':
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white circle with gray strike bar indicating no passing for trucks
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has ended
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splits:
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- name: train
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-
num_bytes:
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num_examples: 26640
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- name: test
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-
num_bytes:
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num_examples: 12630
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- name: contrast
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num_bytes:
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num_examples: 12630
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- name: gaussian_noise
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num_bytes:
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num_examples: 12630
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- name: impulse_noise
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num_bytes:
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num_examples: 12630
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- name: jpeg_compression
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num_bytes:
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num_examples: 12630
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- name: motion_blur
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num_bytes:
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num_examples: 12630
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- name: pixelate
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num_bytes:
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num_examples: 12630
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- name: spatter
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num_bytes:
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num_examples: 12630
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download_size:
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dataset_size:
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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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language:
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- en
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size_categories:
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- 10K<n<100K
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task_categories:
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- image-classification
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dataset_info:
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features:
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- name: image
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'22': red and white triangle rough / bumpy road warning
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'23': red and white triangle car skidding / slipping warning
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'24': red and white triangle with merging / narrow lanes warning
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'25': red and white triangle with person digging / construction / road work
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warning
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'26': red and white triangle with traffic light approaching warning
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'27': red and white triangle with person walking warning
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'28': red and white triangle with child and person walking warning
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'38': blue circle with white keep right arrow mandatory
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'39': blue circle with white keep left arrow mandatory
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'40': blue circle with white arrows indicating a traffic circle
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'41': white circle with gray strike bar indicating no passing for cars has
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ended
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'42': white circle with gray strike bar indicating no passing for trucks
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has ended
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splits:
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- name: train
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num_bytes: 252930879.36
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num_examples: 26640
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- name: test
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num_bytes: 104816357.02
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num_examples: 12630
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- name: contrast
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num_bytes: 104816357.02
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num_examples: 12630
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- name: gaussian_noise
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num_bytes: 104816357.02
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num_examples: 12630
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- name: impulse_noise
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num_bytes: 104816357.02
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num_examples: 12630
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- name: jpeg_compression
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num_bytes: 104816357.02
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num_examples: 12630
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- name: motion_blur
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num_bytes: 104816357.02
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num_examples: 12630
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- name: pixelate
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num_bytes: 39121740.4
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num_examples: 12630
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- name: spatter
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num_bytes: 104816357.02
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num_examples: 12630
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download_size: 1027074522
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dataset_size: 1025767118.8999999
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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- split: contrast
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path: data/contrast-*
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- split: gaussian_noise
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path: data/gaussian_noise-*
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- split: impulse_noise
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path: data/impulse_noise-*
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- split: jpeg_compression
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path: data/jpeg_compression-*
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- split: motion_blur
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path: data/motion_blur-*
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- split: pixelate
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path: data/pixelate-*
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- split: spatter
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path: data/spatter-*
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---
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data/contrast-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a7a5d2da523c3f224fc30360003e00ee702d21cd96599fafd55be51e3729e2b
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size 100203225
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data/gaussian_noise-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:cedc2a65e9fcbde17321f222cb3964bbd403ed11f40eaf02823eebaceb420016
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size 118497039
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data/impulse_noise-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:def3beda451e7cf55b06a947faebaed68ef79111db69f7911dffe72e5898d087
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size 109913778
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data/jpeg_compression-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:73293904025663de31f2a08608e264fa61d8270cf427f8af20718e1a339ce529
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size 107520146
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data/motion_blur-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:87f38380da38c3fb296327271ea075407632713fcc0674846100c1af820d5839
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size 109348620
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data/pixelate-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:47cc9b1e369d74c0c355009a8eaac777b1592264e2efe86639e1fcb049803b6a
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size 38517533
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data/spatter-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:2606bd08fcfe2d5781688bcd9bee84772f52255a860b4bb83c6336184e350489
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size 109736444
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data/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f868c4e7ae887b3aee00c3c6348ac155287e5fb0497f1c7d7683694299c7e67
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size 109166076
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:22f75b0cab6937dab1c82de33f8354ae14d4b42d42b08c94879027b26cb97cb6
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size 224171661
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