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Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Dataset and Code for: Tuning of Language Models in Eastern European Languages on Twitter/X

Authors: Sosik, Petr; Pavlíček, Martin; Filip, Tomáš;

Dataset and Code for: Tuning of Language Models in Eastern European Languages on Twitter/X

Abstract

This dataset contains the data and experimental code used in the study: Filip, T., Pavlíček, M., & Sosík, P. (2024)."Tuning of language models in Eastern European languages on Twitter/X."In Proceedings of the Workshop on Artificial Intelligence and Language Technologies (Vol. 4092). CEUR-WS. The dataset includes:– text data from multiple Eastern European V4 languages collected from Twitter/X,– preprocessing and cleaning scripts,– experimental code used for training and evaluation,– evaluation outputs (metrics, tables, plots),– all resources required to reproduce the results presented in the article. This dataset serves as supplementary material to the publication referenced above. Funding acknowledgment:This work has been produced with the financial support of the European Union under the "Biography of Fake News with a Touch of AI: Dangerous Phenomenon through the Prism of Modern Human Sciences" project no. CZ.02.01.01/00/23_025/0008724 via the Operational Programme Jan Ámos Komenský (OP JAK).

Related Organizations
Keywords

Natural language processing, Machine learning, Language model tuning, Computational linguistics, Twitter/X data

EOSC Subjects

Twitter Data

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
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