Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-XScience: A Large-scale Dataset for Extreme Multi-document
  Summarization of Scientific Articles   Multi-document summarization is a challenging task for which there exists
little large-scale datasets. We propose Multi-XScience, a large-scale
multi-document summarization dataset created from scientific articles.
Multi-XScience introduces a challenging multi-document summarization task:
writing the related-work section of a paper based on its abstract and the
articles it references. Our work is inspired by extreme summarization, a
dataset construction protocol that favours abstractive modeling approaches.
Descriptive statistics and empirical results---using several state-of-the-art
models trained on the Multi-XScience dataset---reveal that Multi-XScience is
well suited for abstractive models.

36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
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The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph