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---
dataset_info:
features:
- name: idx
dtype: int64
- name: original
dtype: string
- name: en
dtype: string
- name: ru
dtype: string
- name: chrf_sim
dtype: float64
- name: labse_sim
dtype: float64
- name: forward_entailment
dtype: float64
- name: backward_entailment
dtype: float64
- name: p_good
dtype: float64
- name: len_tokens
dtype: int64
splits:
- name: train
num_bytes: 488921889
num_examples: 936931
- name: val
num_bytes: 4988702
num_examples: 9568
- name: test
num_bytes: 5004482
num_examples: 9524
download_size: 323982865
dataset_size: 498915073
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
task_categories:
- text2text-generation
- sentence-similarity
language:
- ru
tags:
- paraphrase-generation
- paraphrase
size_categories:
- 100K<n<1M
---
## Dataset Description
The dataset is obtained by filtering [dataset of russian paraphrases by David Dale](https://huggingface.co/datasets/cointegrated/ru-paraphrase-NMT-Leipzig) with automatic metrics.
The data structure is saved.
Have been deleted:
- Paraphrases that have cosine LABSE similarity with source sentences < 0.75.
- Paraphrases that are 2.5 times longer than source sentences. (Most of them are looped errors of back translation)
- Paraphrases that are similar in spelling to the original texts. Paraphrases that have ChrF++ similarity > 0.6 and consist of 15 or more tokens have been deleted.
Source dataset contained samples with English paraphrases (errors of back translation). This paraphrases have been translated into Russian.
### Supported Tasks and Leaderboards
The dataset can be used to train and evaluate models for paraphrase generation or (if negative sampling is used) for paraphrase detection. |