Datasets:

TurkuNLP
/

xlsum-fi

task_categories:
  - conditional-text-generation
task_ids:
  - summarization
language:
  - fi
size_categories:
  - 1M<n<10M
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - monolingual
source_datasets:
  - xlsum
paperswithcode_id: null
annotations_creators:
  - found
language_creators:
  - machine translated
pretty_name: XL-Sum-FI

Dataset Card for "XL-Sum-FI"

Dataset Card Creation Guide

Dataset Description

Repository:
Point of Contact: Filip Ginter

Dataset Summary

This dataset is a DeepL -based machine translation of a part of the English section of the xl-sum dataset:https://github.com/csebuetnlp/xl-sum In the present version, only examples where the full version is at most 10x the summary in length are included. We might translate more later.

Supported Tasks and Leaderboards

Languages

finnish

Dataset Structure

Data Instances

One example from the English dataset is given below in JSON format.

{
  "id": "technology-17657859",
  "url": "https://www.bbc.com/news/technology-17657859",
  "title": "title"
  "summary": "summary",
  "text": "text"
}

Data Fields

'id': A string representing the article ID, matched to the xl-sum dataset original
'url': A string representing the article URL as in the original xl-sum dataset
'title': A string containing the article title.
'summary': A string containing the article summary.
'text' : A string containing the article text.

Data Splits

Follows the xl-sum dataset.

Dataset Creation

Curation Rationale

Source Data

BBC News

Initial Data Collection and Normalization

Detailed in the paper For this present dataset, only English was used as the source and only examples where the full text is at maximum 10x in length compared to the summary are preserved.

Who are the source language producers?

Detailed in the paper

Annotations

Detailed in the paper DeepL was used to machine-translate from English to Finnish

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Due to DeepL terms and conditions, this dataset must not be used for machine translation work, namely machine translation system development and evaluation of any kind. In general, we wish you do not pair the original English data with the translations, so as not to infringe on the terms and conditions.

Additional Information

Dataset Curators

Licensing Information

Contents of this repository are restricted to only non-commercial research purposes under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). Copyright of the dataset contents belongs to the original copyright holders.

Citation Information

If you use any of the datasets, models or code modules, please cite the following paper and acknowledge Filip Ginter and the TurkuNLP group for this Finnish translation.

@inproceedings{hasan-etal-2021-xl,
    title = "{XL}-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages",
    author = "Hasan, Tahmid  and
      Bhattacharjee, Abhik  and
      Islam, Md. Saiful  and
      Mubasshir, Kazi  and
      Li, Yuan-Fang  and
      Kang, Yong-Bin  and
      Rahman, M. Sohel  and
      Shahriyar, Rifat",
    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-acl.413",
    pages = "4693--4703",
}

Contributions

Thanks to the creators of the xl-sum dataset.