Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Molecular-MNIST Dataset for Machine Learning Study on Diffraction
  Imaging and Microscopy   An image dataset of 10 different size molecules, where each molecule has
2,000 structural variants, is generated from the 2D cross-sectional projection
of Molecular Dynamics trajectories. The purpose of this dataset is to provide a
benchmark dataset for the increasing need of machine learning, deep learning
and image processing on the study of scattering, imaging and microscopy.

36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex