Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
ArXiv:
License:
Fix typo
Browse files
NIH-Chest-X-ray-dataset.py
CHANGED
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@@ -94,7 +94,7 @@ class XChest(datasets.GeneratorBasedBuilder):
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# Get the image names that belong to the train-val dataset
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train_val_list = get(_URLS['train_val_list']).iter_lines()
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train_val_list = set([x.decode('UTF8') for x in train_val_list])
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-
print(train_val_list)
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# Create list for store the name of the images for each dataset
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train_files = []
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# Get the image names that belong to the train-val dataset
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train_val_list = get(_URLS['train_val_list']).iter_lines()
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train_val_list = set([x.decode('UTF8') for x in train_val_list])
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+
print(train_val_list)
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# Create list for store the name of the images for each dataset
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train_files = []
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