Datasets:

biglam
/

nls_chapbook_illustrations

Tasks:

Object Detection

Image Classification

Sub-tasks:

multi-class-image-classification

Size:

ArXiv:

Tags:

License:

Dataset card Files Files and versions Community

davanstrien HF staff commited on Jul 25, 2022

Commit

c2b837c

•

1 Parent(s): f8c7f16

remove date captured

Files changed (1) hide show

nls_chapbook_illustrations.py +0 -2

nls_chapbook_illustrations.py CHANGED Viewed

@@ -68,7 +68,6 @@ class NationalLibraryScotlandChapBooks(datasets.GeneratorBasedBuilder):
                     "width": datasets.Value("int32"),
                     "height": datasets.Value("int32"),
                     "url": datasets.Value("string"),
-                    "date_captured": datasets.Value("string"),
                 }
             )
             object_dict = {
@@ -133,7 +132,6 @@ class NationalLibraryScotlandChapBooks(datasets.GeneratorBasedBuilder):
                 "width": image_info["width"],
                 "height": image_info["height"],
                 "url": image_info.get("url"),
-                "date_captured": image_info["date_captured"],
             }
         with open(annotations_file, encoding="utf8") as f:

                     "width": datasets.Value("int32"),
                     "height": datasets.Value("int32"),
                     "url": datasets.Value("string"),
                 }
             )
             object_dict = {
                 "width": image_info["width"],
                 "height": image_info["height"],
                 "url": image_info.get("url"),
             }
         with open(annotations_file, encoding="utf8") as f: