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              - name: test
         
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                num_examples: 1562
         
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              dataset_size: 246622
         
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            ---
         
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            # NorHand v3  
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            ## Table of Contents
         
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            - [NorHand v3  
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              - [Table of Contents](#table-of-contents)
         
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              - [Dataset Description](#dataset-description)
         
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                - [Languages](#languages)
         
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            The NorHand v3 dataset comprises Norwegian letter and diary line images and text from 19th and early 20th century.
         
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            ### Languages
         
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            All the documents in the dataset are written in Norwegian Bokmål.
         
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            ### Data Fields
         
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            - `image`:  
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            - `text`: the label transcription of the image.
         
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              - name: test
         
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                num_examples: 1562
         
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              dataset_size: 246622
         
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            tags:
         
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              - atr
         
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              - htr
         
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              - ocr
         
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              - historical
         
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              - handwritten
         
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            ---
         
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            # NorHand v3 - line level
         
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            ## Table of Contents
         
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            - [NorHand v3 - line level](#norhand-v3-line-level)
         
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              - [Table of Contents](#table-of-contents)
         
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              - [Dataset Description](#dataset-description)
         
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                - [Languages](#languages)
         
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            The NorHand v3 dataset comprises Norwegian letter and diary line images and text from 19th and early 20th century.
         
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            Note that all images are resized to a fixed height of 128 pixels.
         
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            ### Languages
         
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            All the documents in the dataset are written in Norwegian Bokmål.
         
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            ### Data Fields
         
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            - `image`: a PIL.Image.Image object containing the image. Note that when accessing the image column (using dataset[0]["image"]), the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
         
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            - `text`: the label transcription of the image.
         
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