222023-04-21 11:50:51MaciejOgrodniczuk212023-04-21 11:49:34MaciejOgrodniczuk202023-04-21 11:49:24MaciejOgrodniczuk192023-01-23 15:31:53MaciejOgrodniczuk182023-01-23 15:31:20MaciejOgrodniczuk172023-01-23 15:30:31MaciejOgrodniczuk162023-01-23 15:29:22MaciejOgrodniczuk152023-01-23 15:28:23MaciejOgrodniczuk142023-01-23 15:26:49MaciejOgrodniczuk132022-10-26 16:56:59MaciejOgrodniczuk122022-10-26 16:56:20MaciejOgrodniczuk112022-10-26 16:55:39MaciejOgrodniczuk102022-10-26 16:55:20MaciejOgrodniczuk92022-10-26 16:54:14MaciejOgrodniczuk82022-10-10 14:03:28MaciejOgrodniczuk72022-07-23 11:35:46MaciejOgrodniczuk62022-07-23 11:35:20MaciejOgrodniczuk52022-07-23 11:34:53MaciejOgrodniczuk42022-07-23 11:33:46MaciejOgrodniczuk32022-02-01 11:24:14MaciejOgrodniczuk22021-12-14 20:27:50MaciejOgrodniczukRenamed from 'POSMC'.12021-12-14 20:11:00MaciejOgrodniczuk

The Polish Open Science Metadata Corpus (POSMAC) is a subset of the CURLICAT corpus. It contains data acquired from the Library of Science (LoS), a platform providing open access to full texts of articles published in over 900 Polish scientific journals and full texts of selected scientific books together with extensive bibliographic metadata. More than 70 percent of the metadata records included in the resulting corpus contain keywords describing the content of the indexed articles. This makes POSMAC a particularly valuable source of data for training keyword generation models and semantic indexing systems.

Top 10 scientific domains represented in the POSMAC: Domains Documents With keywords Engineering and technical sciences 58 974 57 165 Social sciences 58 166 41 799 Agricultural sciences 29 811 15 492 Humanities 22 755 11 497 Exact and natural sciences 13 579 9 185 Humanities, Social sciences 12 809 7 063 Medical and health sciences 6 030 3 913 Medical and health sciences, Social sciences 828 571 Humanities, Medical and health sciences, Social sciences 601 455 Engineering and technical sciences, Humanities 312 312

* Raw data Annotated data

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Keyword Extraction with a Text-to-text Transfer Transformer (presentation in Polish at NLP seminar, December 2021)