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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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-
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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.
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-
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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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-
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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 ืชืืžื• ืื™ืฉืœืฉื•'
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- }
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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 intentinally flipped from RTL to LTR because of PyLaia library limitation to LTR.
 
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+ ---
2
+ license: mit
3
+ language:
4
+ - he
5
+ - sam
6
+ task_categories:
7
+ - image-to-text
8
+ pretty_name: Samaritan_v1
9
+ dataset_info:
10
+ features:
11
+ - name: image
12
+ dtype: image
13
+ - name: text
14
+ dtype: string
15
+ splits:
16
+ - name: train
17
+ num_examples: 2500
18
+ - name: validation
19
+ num_examples: 1500
20
+ - name: test
21
+ num_examples: 965
22
+ dataset_size: 415M
23
+ tags:
24
+ - atr
25
+ - htr
26
+ - ocr
27
+ - historical
28
+ - handwritten
29
+ - 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.
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+
51
+ Note that all images are resized to a fixed height of 128 pixels.
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+
53
+ ### Languages
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+
55
+ All the documents in the dataset are written in Hebrew, Samaritan Hebrew and Samaritan Aramaic.
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+
57
+ ## 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 ืชืืžื• ืื™ืฉืœืฉื•'
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+ }
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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.