Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Will-They-Won't-They: A Very Large Dataset for Stance Detection on
  Twitter   We present a new challenging stance detection dataset, called
Will-They-Won't-They (WT-WT), which contains 51,284 tweets in English, making
it by far the largest available dataset of the type. All the annotations are
carried out by experts; therefore, the dataset constitutes a high-quality and
reliable benchmark for future research in stance detection. Our experiments
with a wide range of recent state-of-the-art stance detection systems show that
the dataset poses a strong challenge to existing models in this domain.

8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg