README.md

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: 8598724
      num_examples: 14731
    - name: validation
      num_bytes: 471632
      num_examples: 818
    - name: test
      num_bytes: 483686
      num_examples: 819
  dataset_size: 9554042
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"
}