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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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A small dataset of short abstract from Wikipedia

Research datakeyboard_double_arrow_right Dataset 16 Jun 2023 English Publisher:Zenodo
Authors: Vincenzo De Leo; Aya Sahbi; Cristian Santini; Hassan Hussein; Kerstin Neubert; Xuemin Duan; Irene Celino;

doi: 10.5281/zenodo.8047709 , 10.5281/zenodo.8047710

A small dataset of short abstract from Wikipedia

Abstract

This dataset has been collected during the ISWS2023 PhD School of Semantic Web at Bertinoro for the Project Work of the Dragon Team Research Group. It contains a collection of 10 short abstract taken from Wikipedia. The short abstract have been published in a date that is before the data of the pre-train of the gpt-3.5-turbo LLM so contains informations that are known by this model and can be useful to study the inference of triples in KG generation from texts process.

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Keywords

wikipedia, short_abstract

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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