---
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.

# Data Usage

## 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>
}
```

# Citation

If you use that results in your research, please cite our paper:

```bibtex
@article{Potyashin2023HWR200NO,
  title={HWR200: New open access dataset of handwritten texts images in Russian},
  author={Ivan Potyashin and Mariam Kaprielova and Yury Chekhovich and Alexandr Kildyakov and Temirlan Seil and Evgeny Finogeev and Andrey Grabovoy},
  journal={COMPUTATIONAL LINGUISTICS AND INTELLECTUAL TECHNOLOGIES”},
  year={2023},
  url={https://api.semanticscholar.org/CorpusID:267505062}
}
```