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README.md

@@ -4,21 +4,6 @@ size_categories: n<1K
 task_categories:
 - image-classification
 pretty_name: SSB (easy)
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  splits:
-  - name: train
-    num_bytes: 41921235.0
-    num_examples: 151
-  download_size: 0
-  dataset_size: 41921235.0
 ---
 
 # Dataset Card for SSB (easy) for OOD Detection
@@ -107,16 +92,6 @@ note          = {ICML 2023. Datasets, code and evaluation data at
 archiveprefix = {arXiv},
 url           = {http://arxiv.org/abs/2306.00826v1}
 }
-
-@article{2110.06207v2,
-author        = {Sagar Vaze and Kai Han and Andrea Vedaldi and Andrew Zisserman},
-title         = {Open-Set Recognition: a Good Closed-Set Classifier is All You Need?},
-year          = {2021},
-month         = {10},
-note          = {ICLR 22 Oral. Changes from pre-print highlighted on Github page},
-archiveprefix = {arXiv},
-url           = {http://arxiv.org/abs/2110.06207v2}
-}
 ```
 
 ## Dataset Card Authors