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Update README.md (#3)

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- Update README.md (99d150f0de40a357eb125fdb384ba6974bd853db)


Co-authored-by: Alexis IMBERT <[email protected]>

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  1. README.md +11 -3
README.md CHANGED
@@ -19,12 +19,18 @@ dataset_info:
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  - name: test
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  num_examples: 1792
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  dataset_size: 161831
 
 
 
 
 
 
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  ---
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- # NorHand v2 Dataset
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  ## Table of Contents
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- - [NorHand v2 Dataset](#norhand-v2-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)
@@ -42,6 +48,8 @@ dataset_info:
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  The NorHand v2 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.
@@ -60,5 +68,5 @@ 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: 1792
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  dataset_size: 161831
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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 v2 - line level
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  ## Table of Contents
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+ - [NorHand v2 - line level](#norhand-v2-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 v2 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.