Dataset Open Access

Natural Language-Guided Programming User Study

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

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5384768", 
  "title": "Natural Language-Guided Programming User Study", 
  "issued": {
    "date-parts": [
  "abstract": "<p>In this dataset you find the&nbsp;user study data that was used in the <strong><em>Natural Language-Guided Programming</em></strong> paper, which is accepted for Onward! 2021. A preprint can be found here&nbsp;<a href=\"\"></a>. The dataset consists of the following files:</p>\n\n<ul>\n\t<li>\n\t<p>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&nbsp;and&nbsp;license.</p>\n\t</li>\n\t<li>\n\t<p>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.</p>\n\t</li>\n\t<li>\n\t<p>train-index.jsonl is the list of github projects that were used for training the models.</p>\n\t</li>\n\t<li>\n\t<p>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.</p>\n\t</li>\n</ul>\n\n<p>For more details we refer to the paper.</p>", 
  "author": [
      "family": "Heyman, Geert"
      "family": "Huysegems, Rafeal"
      "family": "Justen, Pascal"
      "family": "Van Cutsem, Tom"
  "version": "0.0.1", 
  "type": "dataset", 
  "id": "5384768"
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