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Datasets:
biglam
/
nls_chapbook_illustrations

Tasks:
Object Detection
Image Classification
Sub-tasks:
multi-class-image-classification
Size:
1K<n<10K
ArXiv:
Tags:
lam
historic
License:
Dataset card Files Community
2
davanstrien HF staff commited on
Commit
7e4ac9f
•
1 Parent(s): c2b837c

remove unused collumns

Browse files
Files changed (1) hide show
  1. nls_chapbook_illustrations.py +2 -2
nls_chapbook_illustrations.py CHANGED
@@ -67,7 +67,7 @@ class NationalLibraryScotlandChapBooks(datasets.GeneratorBasedBuilder):
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  "image": datasets.Image(),
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  "width": datasets.Value("int32"),
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  "height": datasets.Value("int32"),
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- "url": datasets.Value("string"),
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  }
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  )
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  object_dict = {
@@ -131,7 +131,7 @@ class NationalLibraryScotlandChapBooks(datasets.GeneratorBasedBuilder):
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  "image": os.path.join(image_dir, image),
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  "width": image_info["width"],
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  "height": image_info["height"],
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- "url": image_info.get("url"),
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  }
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  with open(annotations_file, encoding="utf8") as f:
 
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  "image": datasets.Image(),
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  "width": datasets.Value("int32"),
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  "height": datasets.Value("int32"),
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+ # "url": datasets.Value("string"),
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  }
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  )
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  object_dict = {
 
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  "image": os.path.join(image_dir, image),
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  "width": image_info["width"],
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  "height": image_info["height"],
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+ # "url": image_info.get("url"),
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  }
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  with open(annotations_file, encoding="utf8") as f: