Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Measuring Swampiness: Quantifying Chaos in Large Heterogeneous Data
  Repositories   As scientific data repositories and filesystems grow in size and complexity,
they become increasingly disorganized. The coupling of massive quantities of
data with poor organization makes it challenging for scientists to locate and
utilize relevant data, thus slowing the process of analyzing data of interest.
To address these issues, we explore an automated clustering approach for
quantifying the organization of data repositories. Our parallel pipeline
processes heterogeneous filetypes (e.g., text and tabular data), automatically
clusters files based on content and metadata similarities, and computes a novel
"cleanliness" score from the resulting clustering. We demonstrate the
generation and accuracy of our cleanliness measure using both synthetic and
real datasets, and conclude that it is more consistent than other potential
cleanliness measures.

28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc