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emphasize dataset framing in titles and site copy
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src/components/layout/Meta.svelte

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<script>
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export let title =
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"FormulaCode: LLM Agent Benchmark for Python Code Optimization";
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"FormulaCode: LLM Agent Benchmark & Dataset for Python Code Optimization";
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export let description =
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"FormulaCode is a continually updated benchmark evaluating LLM coding agents on real-world Python code optimization. 957 performance bottlenecks from 70+ scientific Python repositories, each paired with expert patches and community-maintained performance workloads.";
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export let url = "https://formulacode.org/";

src/components/layout/OverviewHeader.svelte

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<div class="hero-blurb-top hero-blurb">
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<p>
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FormulaCode is a <em>continually updating</em> benchmark for evaluating
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the <em>holistic</em> ability of LLM agents to optimize codebases. Our
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current dataset consists of <strong>{fmt(FINAL_TASKS)}</strong> tasks
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the <em>holistic</em> ability of LLM agents to optimize codebases. The
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<a href="/explorer/">FormulaCode dataset</a> currently consists of
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<strong>{fmt(FINAL_TASKS)}</strong> tasks
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scraped from <strong>{fmt(totals.pull_requests)}</strong> pull requests
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in
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<strong>{fmt(INITIAL_REPOS)}+</strong> compliant repositories.

src/components/pages/ExplorerPage.svelte

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width="44"
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height="44"
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/>
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<span class="mark-label">Workload Explorer</span>
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<span class="mark-label">FormulaCode Benchmark Dataset</span>
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</div>
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<h1 class="page-title">
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Browse {facets.stats.total.toLocaleString()} performance workloads
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Explore the FormulaCode dataset — {facets.stats.total.toLocaleString()}
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benchmark workloads
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</h1>
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<p class="page-desc">
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This is a preview slice of the FormulaCode workload dataset, while we work

src/routes/+page.svelte

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setContext("data", data.data);
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const title =
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"FormulaCode: LLM Agent Benchmark for Python Code Optimization";
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"FormulaCode: LLM Agent Benchmark & Dataset for Python Code Optimization";
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const description =
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"FormulaCode is a continually updated benchmark evaluating LLM coding agents on real-world Python code optimization. 957 performance bottlenecks from 70+ scientific Python repositories, each paired with expert patches and community-maintained performance workloads. Accepted at ICML 2026.";
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"FormulaCode is a continually updated benchmark and dataset for evaluating LLM coding agents on real-world Python code optimization. The FormulaCode dataset has 957 performance bottlenecks from 70+ scientific Python repositories, each paired with expert patches and community-maintained performance workloads. Accepted at ICML 2026.";
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const url = "https://formulacode.org/";
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const dataset = {

src/routes/explorer/+page.svelte

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const title = "Workload Explorer | FormulaCode Benchmark Dataset";
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const description =
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"Browse and search all 957 code-optimization tasks in the FormulaCode benchmark pull-request sources, agent results, and per-workload performance traces from real-world Python repositories.";
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"Browse and search the FormulaCode dataset — all 957 code-optimization tasks in the benchmark, with pull-request sources, agent results, and per-workload performance traces from real-world Python repositories.";
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const url = "https://formulacode.org/explorer/";
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const breadcrumbs = {

static/sitemap.xml

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<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
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<url>
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<loc>https://formulacode.org/</loc>
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<lastmod>2026-05-15</lastmod>
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<lastmod>2026-05-17</lastmod>
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<changefreq>weekly</changefreq>
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<priority>1.0</priority>
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</url>
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</url>
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<url>
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<loc>https://formulacode.org/explorer/</loc>
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<lastmod>2026-05-15</lastmod>
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<lastmod>2026-05-17</lastmod>
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<changefreq>weekly</changefreq>
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<priority>0.9</priority>
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</url>

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