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--- |
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license: apache-2.0 |
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language: |
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- ru |
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tags: |
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- ocr |
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- htr |
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- handwritten text recognition |
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- near duplicate detection |
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- reuse detection |
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pretty_name: HWR200 |
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size_categories: |
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- 10K<n<100K |
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--- |
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# HWR200: New open access dataset of handwritten texts images in Russian |
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This is a dataset of handwritten texts images in Russian created by 200 writers with |
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different handwriting and photographed in different environment. |
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### How to download |
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``` |
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pip install huggingface_hub |
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apt-get install git-lfs |
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git clone https://huggingface.co/datasets/AntiplagiatCompany/HWR200 |
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``` |
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### Description |
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* Total size is 44G |
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* Total number of images with text is 30030 |
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* Number of writers is 200 |
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* Every handwritten text is photographed in three different ways: scanned, in poor light, in good light |
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* Different authors could write the same texts |
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* Some texts are "reuses" . they have copies of sentences from other texts |
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### Annotation example |
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``` |
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// for original texts: |
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{ |
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sentences: [{id: <id>, text: <sentence>}, ...], |
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words_count: <word count>, |
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full_text: <full text> |
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} |
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// for reuse texts: |
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{ |
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reuse_0: { |
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sentences: [{id: <id>, text: <sentence>}, ...], |
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id: <original text file name> |
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intersection_score: <intersection_score> |
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} |
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reuse_1: { // if exists |
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sentences: [{id: <id>, text: <sentence>}, ...], |
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id: <original text file name> |
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intersection_score: <intersection_score> |
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} |
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start clear sentences: [<sentence>, <sentence>, ...] // if exists |
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end clear sentences: [<sentence>, <sentence>, ...] // if exists |
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words_count: <word count> |
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full_text: <full text> |
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} |
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// for fpr texts: |
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{ |
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sentences: [{id: <id>, text: <sentence>}, ...], |
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words_count: <word count>, |
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full_text: <full text> |
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} |
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``` |
