Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Baselines and a datasheet for the Cerema AWP dataset   This paper presents the recently published Cerema AWP (Adverse Weather
Pedestrian) dataset for various machine learning tasks and its exports in
machine learning friendly format. We explain why this dataset can be
interesting (mainly because it is a greatly controlled and fully annotated
image dataset) and present baseline results for various tasks. Moreover, we
decided to follow the very recent suggestions of datasheets for dataset, trying
to standardize all the available information of the dataset, with a
transparency objective.

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The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
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The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
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The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
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The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom