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---
license: apache-2.0
dataset_info:
features:
- name: word
dtype: string
- name: form
dtype: string
- name: sentence
dtype: string
- name: paraphrase
dtype: string
splits:
- name: train
num_bytes: 480909
num_examples: 1007
- name: test
num_bytes: 42006
num_examples: 77
download_size: 290128
dataset_size: 522915
task_categories:
- text-generation
- text2text-generation
language:
- ru
size_categories:
- 1K<n<10K
---
# Dataset Card for Ru Anglicism
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Splits](#data-splits)
## Dataset Description
### Dataset Summary
Dataset for detection and substraction anglicisms from sentences in Russian. Sentences with anglicism automatically parsed from National Corpus of the Russian language, Habr and Pikabu. The paraphrases for the sentences were created manually.
### Languages
The dataset is in Russian.
### Usage
Loading dataset:
```python
from datasets import load_dataset
dataset = load_dataset('shershen/ru_anglicism')
```
## Dataset Structure
### Data Instunces
For each instance, there are four strings: word, form, sentence and paraphrase.
```
{
'word': 'коллаб',
'form': 'коллабу',
'sentence': 'Сделаем коллабу, раскрутимся.',
'paraphrase': 'Сделаем совместный проект, раскрутимся.'
}
```
### Data Splits
Full dataset contains 1084 sentences. Split of dataset is:
| Dataset Split | Number of Rows
|:---------|:---------|
| Train | 1007 |
| Test | 77 | |