Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: VizNet: Towards A Large-Scale Visualization Learning and Benchmarking
  Repository   Researchers currently rely on ad hoc datasets to train automated
visualization tools and evaluate the effectiveness of visualization designs.
These exemplars often lack the characteristics of real-world datasets, and
their one-off nature makes it difficult to compare different techniques. In
this paper, we present VizNet: a large-scale corpus of over 31 million datasets
compiled from open data repositories and online visualization galleries. On
average, these datasets comprise 17 records over 3 dimensions and across the
corpus, we find 51% of the dimensions record categorical data, 44%
quantitative, and only 5% temporal. VizNet provides the necessary common
baseline for comparing visualization design techniques, and developing
benchmark models and algorithms for automating visual analysis. To demonstrate
VizNet's utility as a platform for conducting online crowdsourced experiments
at scale, we replicate a prior study assessing the influence of user task and
data distribution on visual encoding effectiveness, and extend it by
considering an additional task: outlier detection. To contend with running such
studies at scale, we demonstrate how a metric of perceptual effectiveness can
be learned from experimental results, and show its predictive power across test
datasets.

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The categories of this paper are: acc-phys
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The categories of this paper are: nlin
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The categories of this paper are: q-bio
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The categories of this paper are: bayes-an
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
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The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-th
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The categories of this paper are: math
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The categories of this paper are: math-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-lat