Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DuReader_retrieval: A Large-scale Chinese Benchmark for Passage
  Retrieval from Web Search Engine   In this paper, we present DuReader_retrieval, a large-scale Chinese dataset
for passage retrieval. DuReader_retrieval contains more than 90K queries and
over 8M unique passages from Baidu search. To ensure the quality of our
benchmark and address the shortcomings in other existing datasets, we (1)
reduce the false negatives in development and testing sets by pooling the
results from multiple retrievers with human annotations, (2) and remove the
semantically similar questions between training with development and testing
sets. We further introduce two extra out-of-domain testing sets for
benchmarking the domain generalization capability. Our experiment results
demonstrate that DuReader_retrieval is challenging and there is still plenty of
room for the community to improve, e.g. the generalization across domains,
salient phrase and syntax mismatch between query and paragraph and robustness.
DuReader_retrieval will be publicly available at
https://github.com/baidu/DuReader/tree/master/DuReader-Retrieval

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The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: cond-mat
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The categories of this paper are: physics
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The categories of this paper are: stat
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The categories of this paper are: eess
2
The categories of this paper are: math
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The categories of this paper are: alg-geom
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The categories of this paper are: atom-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: funct-an
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The categories of this paper are: q-alg
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The categories of this paper are: nlin
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The categories of this paper are: hep-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: dg-ga