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  1. README.md +11 -3
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@@ -19,12 +19,18 @@ dataset_info:
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  - name: test
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  num_examples: 1793
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  dataset_size: 23732
 
 
 
 
 
 
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  ---
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- # NorHand v1 Dataset
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  ## Table of Contents
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- - [NorHand v1 Dataset](#norhand-v1-dataset)
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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 v1 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.
@@ -61,5 +69,5 @@ 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: 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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  - name: test
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  num_examples: 1793
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  dataset_size: 23732
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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 v1 - line level
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  ## Table of Contents
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+ - [NorHand v1 - line level](#norhand-v1-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 v1 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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+
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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.