What dataset is and why the libraries need it
https://doi.org/10.33186/1027-3689-2026-7-66-80
Abstract
The authors examine the concept of datasets intended for machine learning of algorithms / synthetic neuronet models, i. e. artificial intelligence (AI) models. Russian Federation pursues the Strategy for Information Society for 2017–2030, with the goal to build knowledge society. Today the libraries have been accumulating, preserving and disseminating knowledge, and in the context of datasets, providing the strategy concept. The authors define dataset as a structured data array organized to solve particular problems: the dataset structure, in its turn, depends on the primary data type, character and formality. In the article, the authors substantiate this statement and discuss two basic technological models for building datasets (based on text corpus).
Supporting agencies: The paper is prepared under the Government Order to RNPLS&T No. 07500550-26-00 for 2026, R&D theme No. 126011215424-5 (FNEG-2025-0004).
About the Authors
M. V. Vakhrushev
Russian National Public Library for Science and Technology
Russian Federation
Russian Federation
Maxim V. Vakhrushev – Cand. Sc. (Pedagogy), Senior Researcher, Perspective Research and Analytical
Forecast Group
Moscow
M. V. Goncharov
Russian National Public Library for Science and Technology
Russian Federation
Russian Federation
Mikhail V. Goncharov – Cand. Sc. (Engineering), Associate Professor, Leading Researcher, Head,
Perspective Research and Analytical Forecast Group
Moscow
K. A. Kolosov
ELNIT
Association
Russian Federation
Russian Federation
Kirill A. Kolosov – Cand. Sc. (Engineering), programmer
Moscow
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Review
For citations:
Vakhrushev M.V., Goncharov M.V., Kolosov K.A. What dataset is and why the libraries need it. Scientific and Technical Libraries. 2026;1(7):66-80. (In Russ.) https://doi.org/10.33186/1027-3689-2026-7-66-80
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