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  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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+ language:
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+ - nb
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+ task_categories:
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+ - image-to-text
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+ pretty_name: NorHand v2
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: text
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 145060
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+ - name: validation
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+ num_examples: 14979
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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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+
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+ # NorHand v2 Dataset
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+
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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)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [HOME]()
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+ - **Paper:** [Paper]()
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+ - **Point of Contact:** [TEKLIA](https://teklia.com)
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+
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+ ### Languages
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+
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+ All the documents in the dataset are written in Norwegian Bokmål.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ ```
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+ {
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+ 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
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+ 'text': 'og Hjertelighed'
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+
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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.