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Update README.md

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  1. README.md +11 -4
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@@ -23,7 +23,9 @@ dataset_info:
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  '13': computer keyboard, keypad
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  '14': tripod
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  '15': komondor
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- '16': American lobster, Northern lobster, Maine lobster, Homarus americanus
 
 
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  '17': bannister, banister, balustrade, balusters, handrail
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  '18': honeycomb
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  '19': tile roof
@@ -71,7 +73,8 @@ dataset_info:
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  '61': safety pin
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  '62': English foxhound
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  '63': chime, bell, gong
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- '64': American Staffordshire terrier, Staffordshire terrier, American pit
 
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  bull terrier, pit bull terrier
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  '65': bassinet
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  '66': wild boar, boar, Sus scrofa
@@ -113,7 +116,7 @@ dataset_info:
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  num_bytes: 8091813320.875
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  num_examples: 126689
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  - name: validation
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- num_bytes: 314447246.0
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  num_examples: 5000
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  download_size: 8406986315
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  dataset_size: 8406260566.875
@@ -124,6 +127,10 @@ configs:
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  path: data/train-*
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  - split: validation
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  path: data/validation-*
 
 
 
 
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  ---
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  # Dataset Card for ImageNet-100
@@ -201,4 +208,4 @@ In exchange for permission to use the ImageNet database (the "Database") at Prin
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  ### Contributions
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- Thanks to the 🤗 authors for the [imagenet-1k](https://huggingface.co/datasets/imagenet-1k) dataset which was used as a reference.
 
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  '13': computer keyboard, keypad
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  '14': tripod
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  '15': komondor
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+ '16': >-
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+ American lobster, Northern lobster, Maine lobster, Homarus
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+ americanus
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  '17': bannister, banister, balustrade, balusters, handrail
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  '18': honeycomb
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  '19': tile roof
 
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  '61': safety pin
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  '62': English foxhound
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  '63': chime, bell, gong
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+ '64': >-
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+ American Staffordshire terrier, Staffordshire terrier, American pit
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  bull terrier, pit bull terrier
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  '65': bassinet
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  '66': wild boar, boar, Sus scrofa
 
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  num_bytes: 8091813320.875
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  num_examples: 126689
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  - name: validation
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+ num_bytes: 314447246
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  num_examples: 5000
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  download_size: 8406986315
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  dataset_size: 8406260566.875
 
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  path: data/train-*
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  - split: validation
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  path: data/validation-*
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+ task_categories:
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+ - image-classification
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+ size_categories:
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+ - 100K<n<1M
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  ---
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  # Dataset Card for ImageNet-100
 
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  ### Contributions
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+ Thanks to the 🤗 authors for the [imagenet-1k](https://huggingface.co/datasets/imagenet-1k) dataset which was used as a reference.