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--- |
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license: mit |
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language: |
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- nb |
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task_categories: |
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- image-to-text |
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pretty_name: NorHand-v1-line |
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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: 19653 |
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- name: validation |
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num_examples: 2286 |
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- name: test |
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num_examples: 1793 |
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dataset_size: 23732 |
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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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--- |
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# NorHand v1 - line level |
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## Table of Contents |
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- [NorHand v1 - line level](#norhand-v1-line-level) |
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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:** [Hugin-Munin project](https://hugin-munin-project.github.io/) |
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- **Source:** [Zenodo](https://zenodo.org/records/6542056) |
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- **Paper:** [A Comprehensive Comparison of Open-Source Libraries for Handwritten Text Recognition in Norwegian](https://link.springer.com/chapter/10.1007/978-3-031-06555-2_27) |
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- **Point of Contact:** [TEKLIA](https://teklia.com) |
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## Dataset Summary |
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The NorHand v1 dataset comprises Norwegian letter and diary line images and text from 19th and early 20th 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 Norwegian Bokmål. |
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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': 'fredag 1923' |
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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. |
