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  Himanis (HIstorical MANuscript Indexing for user controlled Search) is a corpus of medieval documents.
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  ### Languages
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  All the documents in the dataset are written in Latin and in French.
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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. Note that all images are resized to a fixed height of 128 pixels. 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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  Himanis (HIstorical MANuscript Indexing for user controlled Search) is a corpus of medieval documents.
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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 Latin and in French.
 
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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.