Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: INTERACTION Dataset: An INTERnational, Adversarial and Cooperative
  moTION Dataset in Interactive Driving Scenarios with Semantic Maps   Behavior-related research areas such as motion prediction/planning,
representation/imitation learning, behavior modeling/generation, and algorithm
testing, require support from high-quality motion datasets containing
interactive driving scenarios with different driving cultures. In this paper,
we present an INTERnational, Adversarial and Cooperative moTION dataset
(INTERACTION dataset) in interactive driving scenarios with semantic maps. Five
features of the dataset are highlighted. 1) The interactive driving scenarios
are diverse, including urban/highway/ramp merging and lane changes, roundabouts
with yield/stop signs, signalized intersections, intersections with
one/two/all-way stops, etc. 2) Motion data from different countries and
different continents are collected so that driving preferences and styles in
different cultures are naturally included. 3) The driving behavior is highly
interactive and complex with adversarial and cooperative motions of various
traffic participants. Highly complex behavior such as negotiations,
aggressive/irrational decisions and traffic rule violations are densely
contained in the dataset, while regular behavior can also be found from
cautious car-following, stop, left/right/U-turn to rational lane-change and
cycling and pedestrian crossing, etc. 4) The levels of criticality span wide,
from regular safe operations to dangerous, near-collision maneuvers. Real
collision, although relatively slight, is also included. 5) Maps with complete
semantic information are provided with physical layers, reference lines,
lanelet connections and traffic rules. The data is recorded from drones and
traffic cameras. Statistics of the dataset in terms of number of entities and
interaction density are also provided, along with some utilization examples in
a variety of behavior-related research areas. The dataset can be downloaded via
https://interaction-dataset.com.

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The categories of this paper are: astro-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-lat
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The categories of this paper are: acc-phys
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The categories of this paper are: ao-sci
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: cmp-lg
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The categories of this paper are: patt-sol
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The categories of this paper are: solv-int
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The categories of this paper are: quant-ph
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The categories of this paper are: econ
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The categories of this paper are: gr-qc
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The categories of this paper are: adap-org