Datasets:
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
- Homepage: johnlockejrr's personal project
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 ืชืืื ืืืฉืืฉื'
}
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.