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