README.md

---
language: 
- ru
---
#  TL;DR: Text Normalization for Social Media Corpus 

## Dataset Description

This dataset contains examples of Russian-language texts from social networks 
with distorted spelling (typos, abbreviations, etc.) and their normalized versions 
in json format. A detailed spelling correction protocol is given in the TBA article. 
The dataset size is 1930 sentence pairs. In each pair, the sentences are tokenized 
by words, and the lengths of both sentences in the pair are equal. If a token 
had to be divided during the normalization process, the division point is marked 
with the "|" symbol. If two tokens were combined, the placeholder <conjoint> is 
set in place of the second token (or <hyphen>, if the final spelling contains 
a hyphen at the place of the combination). Punctuation was excluded during 
pre-processing. Dataset excerpt:


```
...
[
    [
        "Где",
        "то",
        "сейчас",
        "один",
        "сисадмин",
        "Ищу",
        "работу",
        "опыт",
        "работы",
        "Google",
        "YouTube"
    ],
    [
        "Где-то",
        "<hyphen>",
        "сейчас",
        "один",
        "системный|администратор",
        "Ищу",
        "работу",
        "опыт",
        "работы",
        "<foreign>",
        "<foreign>"
    ]
],
...
```

## Source Data 

[Social networks subcorpus](https://ruscorpora.ru/en/corpus/blogs) from the [Russian National Corpus](https://ruscorpora.ru/en).

## License 

TBA

## Citation 

TBA