README.md

---
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
- [Samaritan v1 - line level](#samaritan_v1)
  - [Table of Contents](#table-of-contents)
  - [Dataset Description](#dataset-description)
    - [Languages](#languages)
  - [Dataset Structure](#dataset-structure)
    - [Data Instances](#data-instances)
    - [Data Fields](#data-fields)

## Dataset Description

- **Homepage:** [johnlockejrr's personal project](https://huggingface.co/datasets/johnlockejrr/samaritan_v1)

## 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': 'ינבו הנש תאמו םישלשו'
}
```

### 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.