metadata
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 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.