Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
parquet
Languages:
Russian
Size:
10K - 100K
ArXiv:
License:
metadata
annotations_creators:
- expert-generated
language_creators:
- translated
language:
- ru
license:
- cc-by-nc-nd-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- samsum
task_categories:
- summarization
task_ids: []
pretty_name: SAMSum Corpus (ru)
tags:
- conversations-summarization
dataset_info:
features:
- name: id
dtype: string
- name: dialogue
dtype: string
- name: summary
dtype: string
splits:
- name: train
num_bytes: 16638444.514933478
num_examples: 14732
- name: validation
num_bytes: 904102
num_examples: 818
- name: test
num_bytes: 936174
num_examples: 819
download_size: 9554042
dataset_size: 18478720.514933478
train-eval-index:
- config: samsum
task: summarization
task_id: summarization
splits:
eval_split: test
col_mapping:
dialogue: text
summary: target
Dataset Card for SAMSum Corpus (ru)
Dataset Description
Translated samsum dataset to russian language.
Notes
Row with ID 13828807 was deleted.
Links
- Homepage: hhttps://arxiv.org/abs/1911.12237v2
- Repository: https://arxiv.org/abs/1911.12237v2
- Paper: https://arxiv.org/abs/1911.12237v2
Languages
Russian (translated from English samsum using Google Translator)
Dataset Structure
Data Fields
- dialogue: text of dialogue.
- summary: human written summary of the dialogue.
- id: unique file id of an example.
Data Splits
- train: 14731
- val: 818
- test: 819
Licensing Information
non-commercial licence: CC BY-NC-ND 4.0
Citation Information
@inproceedings{gliwa-etal-2019-samsum,
title = "{SAMS}um Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization",
author = "Gliwa, Bogdan and
Mochol, Iwona and
Biesek, Maciej and
Wawer, Aleksander",
booktitle = "Proceedings of the 2nd Workshop on New Frontiers in Summarization",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/D19-5409",
doi = "10.18653/v1/D19-5409",
pages = "70--79"
}