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README.md
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---
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task_categories:
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- image-to-text
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pretty_name: ATR benchmark
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size_categories:
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- n<1K
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language:
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- fr
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- la
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- en
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- no
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- ar
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- zh
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- de
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tags:
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- atr
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- htr
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- ocr
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dataset_info:
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features:
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- name: dataset
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dtype: string
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splits:
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- name: test
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num_bytes:
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num_examples:
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download_size:
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dataset_size:
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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---
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# ATR benchmark - Page/paragraph level
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## Dataset Description
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- **Homepage:** [ATR benchmark](https://huggingface.co/datasets/Teklia/ATR-benchmark)
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- **Point of Contact:** [TEKLIA](https://teklia.com)
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## Dataset Summary
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The ATR benchmark dataset is a multilingual dataset that includes 83 document images, at page or paragraph level. This dataset has been designed to test ATR models and combines data from several public datasets:
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- [BnL Historical Newspapers](https://data.bnl.lu/data/historical-newspapers/)
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- [CASIA-HWDB2](https://nlpr.ia.ac.cn/databases/handwriting/Offline_database.html)
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- [DIY History - Social Justice](http://diyhistory.lib.uiowa.edu/)
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- FINLAM - Historical Newspapers
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- [Horae - Books of hours](https://github.com/oriflamms/HORAE)
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- [NorHand v3](https://zenodo.org/records/10255840)
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- [Marius PELLET](https://europeana.transcribathon.eu/documents/story/?story=121795)
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- [RASM](http://www.primaresearch.org/RASM2019/)
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Images are in their original size.
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### Split
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| dataset | images | language |
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| ------------------------------ | ------:| ---------------- |
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| BnL Historical Newspapers | 3 | German |
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| CASIA-HWDB2 | 10 | Chinese |
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| DIY History - Social Justice | 20 | English |
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| FINLAM - Historical Newspapers | 10 | English / French |
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| Horae - Books of hours | 10 | Latin |
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| NorHand v3 | 10 | Norwegian |
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| Marius PELLET | 10 | French |
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| RASM | 10 | Arabic |
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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={img size} at 0x1A800E8E190,
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'text': '{transcription}'
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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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- `dataset`: the name of the original dataset.
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- `arkindex_id`: Arkindex element id corresponding to the current page or paragraph.
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- `text`: the label transcription of the image.
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- `language`: language of text on the image.
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- `level`: full document page or a single paragraph.
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dataset_info:
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features:
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- name: dataset
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dtype: string
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splits:
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- name: test
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num_bytes: 178249701.0
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num_examples: 123
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download_size: 176996271
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dataset_size: 178249701.0
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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---
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data/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b98afb72474a82c7e398c735a05b4f61b8a450645340fcc008834967855d15d
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size 176996271
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