Dataset Open Access

Natural Language-Guided Programming User Study

Heyman, Geert; Huysegems, Rafeal; Justen, Pascal; Van Cutsem, Tom


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    <dct:title>Natural Language-Guided Programming User Study</dct:title>
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    <dcat:keyword>code completion</dcat:keyword>
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    <dct:description>&lt;p&gt;In this dataset you find the&amp;nbsp;user study data that was used in the &lt;strong&gt;&lt;em&gt;Natural Language-Guided Programming&lt;/em&gt;&lt;/strong&gt; paper, which is accepted for Onward! 2021. A preprint can be found here&amp;nbsp;&lt;a href="https://arxiv.org/pdf/2108.05198.pdf"&gt;https://arxiv.org/pdf/2108.05198.pdf&lt;/a&gt;. The dataset consists of the following files:&lt;/p&gt; &lt;ul&gt; &lt;li&gt; &lt;p&gt;benchmark.json contains 201 test cases. Each test case consists of context, a natural language intent and target code. The test cases are intended to evaluate a model that can predict code giving a piece of context code and a natural language intent. The test cases were derived from Jupyter notebooks that were crawled from Github projects with permissive licenses. In the project_metadata field you find information about the original project such as its git url&amp;nbsp;and&amp;nbsp;license.&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;predictions-annotated.json contains predictions of the three models used in the paper for 100 test cases in benchmark.json. Each prediction is accompanied with qualitive assesments from three annotators.&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;train-index.jsonl is the list of github projects that were used for training the models.&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;eval-index.jsonl is a list of github projects that we kept separate for evaluation. The benchmark.json was created from a random subset of the projects in this list.&lt;/p&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;For more details we refer to the paper.&lt;/p&gt;</dct:description>
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