samaritan_v1 / README.md
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metadata
license: mit
language:
  - he
  - sam
task_categories:
  - image-to-text
pretty_name: Samaritan_v1
dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_examples: 2500
    - name: validation
      num_examples: 1500
    - name: test
      num_examples: 965
  dataset_size: 415M
tags:
  - atr
  - htr
  - ocr
  - historical
  - handwritten
  - samaritan

Samaritan v1 - line level

Table of Contents

Dataset Description

Dataset Summary

The Samaritanv1 dataset comprises Samaritan Biblical manuscripts line images and text from 14th and early 17th century.

Note that all images are resized to a fixed height of 128 pixels.

Languages

All the documents in the dataset are written in Hebrew, Samaritan Hebrew and Samaritan Aramaic.

Dataset Structure

Data Instances

{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
  'text': 'ื™ื ื‘ื• ื”ื ืฉ ืชืืžื• ืื™ืฉืœืฉื•'
}

Data Fields

  • 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].
  • text: the label transcription of the image. The text was intentinally flipped from RTL to LTR because of PyLaia library limitation to LTR.