Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset   We develop a high-quality multi-turn dialog dataset, DailyDialog, which is
intriguing in several aspects. The language is human-written and less noisy.
The dialogues in the dataset reflect our daily communication way and cover
various topics about our daily life. We also manually label the developed
dataset with communication intention and emotion information. Then, we evaluate
existing approaches on DailyDialog dataset and hope it benefit the research
field of dialog systems.

11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio