mirror of
https://github.com/karma-riuk/crab-webapp.git
synced 2025-07-05 06:08:13 +02:00
162 lines
6.3 KiB
HTML
162 lines
6.3 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<link rel="icon" type="image/x-icon" href="/img/crab.png">
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<title>Dataset Downloader & Answer Uploader</title>
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<link rel="stylesheet" href="css/style.css">
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
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<script src="https://cdn.socket.io/4.5.4/socket.io.min.js"></script>
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<script defer src="js/index.js"></script>
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<script defer src="js/sorttable.js"></script>
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</head>
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<body>
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<header class="site-header">
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<h3 id="page-title">
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<img src="/img/crab.png" alt="Crab" class="crab-icon">
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Crab Webapp
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</h3>
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<button id="about-button" class="info-btn">About</button>
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</header>
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<main>
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<fieldset>
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<legend>
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<strong>Download a Dataset</strong>
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<button id="info-download-btn" class='info-btn'><i class="fa fa-info"></i></button>
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</legend>
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<label for="dataset-select">Dataset:</label>
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<select id="dataset-select">
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<option value="comment_generation">Comment Generation</option>
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<option value="code_refinement">Code Refinement</option>
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</select>
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<label>
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<input type="checkbox" id="with-context">
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Include context
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</label>
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<br /><br />
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<button id="download-dataset">Download</button>
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</fieldset>
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<fieldset>
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<legend>
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<strong>Upload Your Answers</strong>
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<button id="info-upload-btn" class='info-btn'><i class="fa fa-info"></i></button>
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</legend>
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<label for="answer-cype">Type:</label>
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<select id="answer-cype">
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<option value="comment">Comment Generation</option>
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<option value="refinement">Code Refinement</option>
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</select>
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<br /><br />
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<input type="file" id="file-cnput" accept="application/json" />
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<br /><br />
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<button id="upload-btn">Upload JSON</button>
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<span id="status" class="hidden" style="color: green;"> </span>
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</fieldset>
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<fieldset>
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<legend>
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<strong>Get status of ongoing process</strong>
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<button id="info-results-btn" class='info-btn'><i class="fa fa-info"></i></button>
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</legend>
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<label for="url">URL:</label>
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<input type="url" id="url" placeholder="https://gym.si.usi.ch:45003/results/XXXX" size=50 required />
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<br /><br />
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<button id="request-status">Request status</button>
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<span id="status" class="hidden" style="color: green;"> </span>
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</fieldset>
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<div id="progress-container" class="hidden">
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<h3>Processing answers...</h3>
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<div>
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<progress id="progress-bar" value="0" max="100"></progress>
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<span id="progress-text">0%</span>
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</div>
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</div>
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<div id="comment" class="results-container hidden">
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<h3>Results Comment Generation<button class="download-results">Download</button></h3>
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<table class="sortable">
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<thead>
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<tr>
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<th>id</th>
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<th>Proposed comment</th>
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<th>Max bleu score</th>
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</tr>
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</thead>
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<tbody>
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</tbody>
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</table>
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</div>
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<div id="refinement" class="results-container hidden">
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<h3>Results Code Refinement<button class="download-results">Download</button></h3>
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<table class="sortable">
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<thead>
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<tr>
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<th>id</th>
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<th>Compiled</th>
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<th>Tested</th>
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</tr>
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</thead>
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<tbody>
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</tbody>
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</table>
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</div>
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<div id="modal-overlay" class="modal-overlay hidden" tabindex=-1>
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<div class="modal-container">
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<button id="modal-close" class="modal-close" aria-label="Close">×</button>
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<div id="modal-content"></div>
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</div>
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</div>
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<template id="about">
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<h2>About this project</h2>
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<div>
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<p>CRAB (Code Review Automation Benchmark) is a research-driven platform designed to evaluate deep
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learning models for code review tasks. Developed as part of a master's thesis at the Università
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della Svizzera italiana, CRAB provides a high-quality, curated benchmark dataset of Java code review
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triplets: submitted code, reviewer comment, and revised code. Each instance is manually validated to
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ensure that reviewer comments directly address code issues and that the revised code implements the
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feedback accurately. </p>
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<p>The platform supports two core tasks: generating human-like review comments and refining code based
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on those comments. It also accounts for paraphrased feedback and alternative valid code revisions,
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offering a more realistic and robust evaluation. CRAB addresses the shortcomings of existing
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datasets by eliminating noise and ensuring functional correctness through testing. Researchers can
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upload model predictions to receive standardized evaluations, making CRAB an essential tool for
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advancing automated code review technologies.</p>
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</div>
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</template>
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<template id="info-download">
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<h2>Downloading the datset</h2>
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<div>
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yes
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</div>
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</template>
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<template id="info-upload">
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<h2>Uploading results</h2>
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<div>
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yes
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</div>
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</template>
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<template id="info-results">
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<h2>Getting information of ongoing process</h2>
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<div>
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yes
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</div>
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</template>
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</main>
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</body>
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</html>
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