s-nlp/EverGreen-Multilingual

Dataset

language:

1

3 commits

1 linked in READMEs

updated May 28, 2025

See the code

README

language:

  • ru
  • en
  • fr
  • de
  • he
  • ar
  • zh

Dataset Card for Dataset Name

Dataset Details

EverGreenQA - multilingual human-curated evergreen-aware QA dataset, which includes a train–test split suitable for model training.

Dataset Sources

Citation

BibTeX:

@misc{pletenev2025truetomorrowmultilingualevergreen,
      title={Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA}, 
      author={Sergey Pletenev and Maria Marina and Nikolay Ivanov and Daria Galimzianova and Nikita Krayko and Mikhail Salnikov and Vasily Konovalov and Alexander Panchenko and Viktor Moskvoretskii},
      year={2025},
      eprint={2505.21115},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2505.21115}, 
}

Contributors

memyprokotow

3 commits

s-nlp/EverGreen-Multilingual

Dataset

language:

1

3 commits

1 linked in READMEs

updated May 28, 2025

See the code

README

language:

  • ru
  • en
  • fr
  • de
  • he
  • ar
  • zh

Dataset Card for Dataset Name

Dataset Details

EverGreenQA - multilingual human-curated evergreen-aware QA dataset, which includes a train–test split suitable for model training.

Dataset Sources

Citation

BibTeX:

@misc{pletenev2025truetomorrowmultilingualevergreen,
      title={Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA}, 
      author={Sergey Pletenev and Maria Marina and Nikolay Ivanov and Daria Galimzianova and Nikita Krayko and Mikhail Salnikov and Vasily Konovalov and Alexander Panchenko and Viktor Moskvoretskii},
      year={2025},
      eprint={2505.21115},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2505.21115}, 
}

Contributors

memyprokotow

3 commits