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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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- nl |
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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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- name: image |
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dtype: image |
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- name: text |
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dtype: string |
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- name: level |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 180132193.0 |
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num_examples: 133 |
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download_size: 178873479 |
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dataset_size: 180132193.0 |
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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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# 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 463 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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- [Churro](https://huggingface.co/datasets/stanford-oval/churro-dataset) |
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- [DIY History - Social Justice](http://diyhistory.lib.uiowa.edu/) |
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- [DAI-CRETDHI](https://dai-cretdhi.univ-lr.fr/) |
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- [Esposalles](https://dag.cvc.uab.es/dataset/the-esposalles-database/) |
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- FINLAM - Historical Newspapers |
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- [Horae - Books of hours](https://github.com/oriflamms/HORAE) |
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- [IAM](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database) |
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- [NDLOCR](https://lab.ndl.go.jp/data_set/r4_kotenocr_en/) |
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- [NorHand v3](https://zenodo.org/records/10255840) |
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- [OpenITI](https://openiti.org/projects/OpenITI%20Corpus.html) |
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- [Marius PELLET](https://europeana.transcribathon.eu/documents/story/?story=121795) |
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- [QARI](https://huggingface.co/datasets/NAMAA-Space/QariOCR-v0.3-markdown-mixed-dataset) |
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- [RASM](http://www.primaresearch.org/RASM2019/) |
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- [READ-2016](https://zenodo.org/records/218236) |
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- [RIMES](https://teklia.com/research/rimes-database/) |
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- [ScribbleLens](https://openslr.org/84/) |
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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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| Churro | 290 | Multi-lingual | |
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| DAI-CRETDHI | 10 | French | |
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| DIY History - Social Justice | 20 | English | |
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| Esposalles | 10 | Catalan | |
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| FINLAM - Historical Newspapers | 10 | English / French | |
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| Horae - Books of hours | 10 | Latin | |
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| IAM | 10 | English | |
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| NDLOCR | 10 | Japanese | |
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| NorHand v3 | 10 | Norwegian | |
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| OpenITI | 10 | Arabic | |
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| Marius PELLET | 10 | French | |
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| QARI | 10 | Arabic | |
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| RASM | 10 | Arabic | |
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| READ-2016 | 10 | German | |
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| RIMES | 10 | French | |
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| ScribbleLens | 10 | Dutch | |
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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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- `text`: the label transcription of the image. |
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- `level`: full document page or a single paragraph. |
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