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The full data set is publicly available via https://osf.io/bveyw/ (Carbon and Gebauer, 2017) [2].
If you're interested in tinkering, you can find the full data set here.
You can check out CrunchBase's monthly reports and download the full data set for Q2 here.
We found the same results that we did when we used the full data set.
We have endeavored to provide the full data set as described in a publication.
Boosted training sets were obtained by applying OptiSim selection to the full data set.
The proposed rule-mining algorithms are then applied to the full data set.
Using the full data set, site significantly affected all traits (p < 0.002, Table 4).
(See the full data set at the Sun-Times).
Download the full data set Download data for individual departments below.
Therefore, we chose to analyze the full data set.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com