November 28, 2021 Dataset Open Access

Le, Kim Tuyen; Rashidi, Gabriel; Andrzejak, Artur

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    <subfield code="a">A Code Token Type Taxonomy-enhanced dataset with pre-computed token types for Python150k</subfield>
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    <subfield code="a">&lt;p&gt;Code Token Type Taxonomy (CT3) is a methodology for refined evaluation of ML-based code completion approaches.&lt;/p&gt;

&lt;p&gt;We published the&amp;nbsp;CT3-enhanced dataset with pre-computed token types for each token in the &lt;a href="https://www.sri.inf.ethz.ch/py150"&gt;Python150k dataset&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;The dataset was obtained from&amp;nbsp;an empirical study of the below paper:&lt;/p&gt;

&lt;p&gt;Kim Tuyen Le, Gabriel Rashidi, and Artur Andrzejak. A Methodology for Refined Evaluation of ML-based Code Completion Approaches. In &lt;em&gt;Special Issue on Programming Language Processing, Data Mining and Knowledge Discovery&lt;/em&gt;.&lt;/p&gt;

&lt;p&gt;Please read the README.txt file for detailed information of structuring the enhanced dataset.&lt;/p&gt;</subfield>
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