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README.md
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---
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license: mit
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language:
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- he
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- sam
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task_categories:
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- image-to-text
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pretty_name: Samaritan_v1
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dataset_info:
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features:
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- name: image
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dtype: image
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- name: text
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dtype: string
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splits:
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- name: train
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num_examples: 2500
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- name: validation
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num_examples: 1500
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- name: test
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num_examples: 965
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dataset_size: 415M
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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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- samaritan
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---
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# Samaritan v1 - line level
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## Table of Contents
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- [Samaritan v1 - line level](#samaritan_v1)
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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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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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## Dataset Description
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- **Homepage:** [johnlockejrr's personal project](https://huggingface.co/datasets/johnlockejrr/samaritan_v1)
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## Dataset Summary
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The Samaritanv1 dataset comprises Samaritan Biblical manuscripts line images and text from 14th and early 17th century.
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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 Hebrew, Samaritan Hebrew and Samaritan Aramaic.
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## Dataset Structure
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### Data Instances
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```
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{
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'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
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'text': 'ืื ืื ืื ืฉ ืชืืื ืืืฉืืฉื'
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}
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```
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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. The text was
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---
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license: mit
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language:
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+
- he
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5 |
+
- sam
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+
task_categories:
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+
- image-to-text
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pretty_name: Samaritan_v1
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+
dataset_info:
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features:
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+
- name: image
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+
dtype: image
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+
- name: text
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+
dtype: string
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+
splits:
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+
- name: train
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+
num_examples: 2500
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+
- name: validation
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+
num_examples: 1500
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+
- name: test
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+
num_examples: 965
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+
dataset_size: 415M
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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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+
- samaritan
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+
---
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+
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# Samaritan v1 - line level
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+
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## Table of Contents
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+
- [Samaritan v1 - line level](#samaritan_v1)
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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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+
- [Dataset Structure](#dataset-structure)
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+
- [Data Instances](#data-instances)
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+
- [Data Fields](#data-fields)
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+
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## Dataset Description
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+
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+
- **Homepage:** [johnlockejrr's personal project](https://huggingface.co/datasets/johnlockejrr/samaritan_v1)
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+
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+
## Dataset Summary
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+
|
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+
The Samaritanv1 dataset comprises Samaritan Biblical manuscripts line images and text from 14th and early 17th century.
|
50 |
+
|
51 |
+
Note that all images are resized to a fixed height of 128 pixels.
|
52 |
+
|
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+
### Languages
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+
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+
All the documents in the dataset are written in Hebrew, Samaritan Hebrew and Samaritan Aramaic.
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+
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+
## Dataset Structure
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+
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+
### Data Instances
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+
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```
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{
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'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
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'text': 'ืื ืื ืื ืฉ ืชืืื ืืืฉืืฉื'
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}
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```
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### Data Fields
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+
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+
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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. The text was intentionally flipped from RTL to LTR because of PyLaia library limitation to LTR.
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