A Large Dataset Representing Bulgarian, with the Bulgarian National Corpus as Its Core

Svetla Peneva Koeva; Ivelina Stoyanova

doi:10.63317/4gxqpsnk5jz5

A Large Dataset Representing Bulgarian, with the Bulgarian National Corpus as Its Core

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Abstract

The paper introduces the IfGPT dataset, which integrates several Bulgarian text collections, including the Bulgarian National Corpus, and applies cleaning, deduplication, and LLM-oriented metadata such as personally identifiable information and bias scores. The composition of the IfGPT dataset is presented, along with the unified metadata schema and metadata management in a graph database, enabling efficient querying and document selection for specific tasks. The main contributions are the integration of multiple Bulgarian text collections into a unified dataset, the development of a standardised metadata schema with graph-based organisation, and the provision of efficient metadata querying mechanisms to support LLM development.

Anthology ID:: 2026.cmlc-1.2
Volume:: Proceedings of the 12th Workshop on Challenges in the Management of Large Corpora
Month:: May
Year:: 2026
Address:: Palma, Mallorca (Spain)
Editors:: Piotr Bański, Dawn Knight, Marc Kupietz, Andreas Witt, Alina Wróblewska
Venues:: CMLC | WS
SIG:
Publisher:: ELRA Language Resources Association (ELRA)
Note:
Pages:: 12–24
Language:
External URL:: https://lrec.elra.info/lrec2026-ws-cmlc-02
DOI:: 10.63317/4gxqpsnk5jz5
Bibkey:
Cite (ACL):: Svetla Peneva Koeva and Ivelina Stoyanova. 2026. A Large Dataset Representing Bulgarian, with the Bulgarian National Corpus as Its Core. In Proceedings of the 12th Workshop on Challenges in the Management of Large Corpora, pages 12–24, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):: A Large Dataset Representing Bulgarian, with the Bulgarian National Corpus as Its Core (Koeva & Stoyanova, CMLC 2026)
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@inproceedings{koeva-stoyanova-2026-large,
    title = "A Large Dataset Representing {B}ulgarian, with the {B}ulgarian National Corpus as Its Core",
    author = "Koeva, Svetla Peneva  and
      Stoyanova, Ivelina",
    editor = "Ba{\'n}ski, Piotr  and
      Knight, Dawn  and
      Kupietz, Marc  and
      Witt, Andreas  and
      Wr{\'o}blewska, Alina",
    booktitle = "Proceedings of the 12th Workshop on Challenges in the Management of Large Corpora",
    month = may,
    year = "2026",
    address = "Palma, Mallorca (Spain)",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://aclanthology.org/2026.cmlc-1.2/",
    doi = "10.63317/4gxqpsnk5jz5",
    pages = "12--24",
    abstract = "The paper introduces the IfGPT dataset, which integrates several Bulgarian text collections, including the Bulgarian National Corpus, and applies cleaning, deduplication, and LLM-oriented metadata such as personally identifiable information and bias scores. The composition of the IfGPT dataset is presented, along with the unified metadata schema and metadata management in a graph database, enabling efficient querying and document selection for specific tasks. The main contributions are the integration of multiple Bulgarian text collections into a unified dataset, the development of a standardised metadata schema with graph-based organisation, and the provision of efficient metadata querying mechanisms to support LLM development."
}

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%0 Conference Proceedings
%T A Large Dataset Representing Bulgarian, with the Bulgarian National Corpus as Its Core
%A Koeva, Svetla Peneva
%A Stoyanova, Ivelina
%Y Bański, Piotr
%Y Knight, Dawn
%Y Kupietz, Marc
%Y Witt, Andreas
%Y Wróblewska, Alina
%S Proceedings of the 12th Workshop on Challenges in the Management of Large Corpora
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F koeva-stoyanova-2026-large
%X The paper introduces the IfGPT dataset, which integrates several Bulgarian text collections, including the Bulgarian National Corpus, and applies cleaning, deduplication, and LLM-oriented metadata such as personally identifiable information and bias scores. The composition of the IfGPT dataset is presented, along with the unified metadata schema and metadata management in a graph database, enabling efficient querying and document selection for specific tasks. The main contributions are the integration of multiple Bulgarian text collections into a unified dataset, the development of a standardised metadata schema with graph-based organisation, and the provision of efficient metadata querying mechanisms to support LLM development.
%R 10.63317/4gxqpsnk5jz5
%U https://aclanthology.org/2026.cmlc-1.2/
%U https://doi.org/10.63317/4gxqpsnk5jz5
%P 12-24

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Markdown (Informal)

[A Large Dataset Representing Bulgarian, with the Bulgarian National Corpus as Its Core](https://aclanthology.org/2026.cmlc-1.2/) (Koeva & Stoyanova, CMLC 2026)

A Large Dataset Representing Bulgarian, with the Bulgarian National Corpus as Its Core (Koeva & Stoyanova, CMLC 2026)

ACL

Svetla Peneva Koeva and Ivelina Stoyanova. 2026. A Large Dataset Representing Bulgarian, with the Bulgarian National Corpus as Its Core. In Proceedings of the 12th Workshop on Challenges in the Management of Large Corpora, pages 12–24, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).