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Update README.md (#3)

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- Update README.md (def0af6eb2d81e52cf7e33d851ec56f8fa4ff41f)


Co-authored-by: Alexis IMBERT <alexis-imbert@users.noreply.huggingface.co>

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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: 478
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  dataset_size: 4791
 
 
 
 
 
 
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  ---
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- # POPP Dataset
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  ## Table of Contents
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- - [POPP Dataset](#popp-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)
@@ -43,6 +49,8 @@ dataset_info:
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  The POPP dataset includes French civil census from Paris from the early 20th century.
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  ### Languages
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  All the documents in the dataset are written in French.
@@ -61,5 +69,5 @@ All the documents in the dataset are written 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: 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: 478
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  dataset_size: 4791
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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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+ # POPP - line level
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  ## Table of Contents
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+ - [POPP - line level](#popp-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 POPP dataset includes French civil census from Paris from the 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 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.