Datasets:
Tasks:
Document Question Answering
Size:
n<1K
Tags:
benchmark
document-ai
information-extraction
structured-extraction
key-information-extraction
ocr
License:
File size: 64,327 Bytes
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<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>DocuBench — Structured Extraction Benchmark</title>
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link href="https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;500;700;900&family=Roboto+Mono:wght@400;500;700&display=swap" rel="stylesheet" />
<style>
:root{
--green:#288a2d; /* DocuPipe brand green */
--green-hover:#1F7A24;
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--ink-faint:#9AA0AE;
--line:rgba(0,0,0,0.09);
--line-2:rgba(0,0,0,0.06);
--paper:#ffffff;
--paper-2:#F7F8F7;
--page-bg:#EFF2EE;
--track:#EDEFEE;
--shadow: 0 1px 2px rgba(16,24,16,.04), 0 18px 40px -24px rgba(16,40,20,.22);
--shadow-sm: 0 1px 2px rgba(16,24,16,.05), 0 6px 16px -12px rgba(16,40,20,.22);
--radius:14px;
--radius-sm:10px;
--ease:cubic-bezier(.22,.68,.32,1);
}
/* per-engine accent palette (brand-derived) */
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*{ box-sizing:border-box; }
html{ -webkit-text-size-adjust:100%; }
body{
margin:0; color:var(--ink);
background-color:var(--page-bg);
background-image:
linear-gradient(rgba(40,138,45,.05) 1px, transparent 1px),
linear-gradient(90deg, rgba(40,138,45,.05) 1px, transparent 1px);
background-size:30px 30px;
background-position:center top;
font-family:"Roboto", system-ui, -apple-system, sans-serif;
font-size:15px; line-height:1.5; -webkit-font-smoothing:antialiased; text-rendering:optimizeLegibility;
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a{ color:var(--green-press); }
/* ---------- reveal ---------- */
@keyframes rise{ from{ opacity:0; transform:translateY(12px); } to{ opacity:1; transform:none; } }
.reveal{ opacity:0; animation:rise .65s var(--ease) forwards; }
@media (prefers-reduced-motion:reduce){ .reveal{ animation:none; opacity:1; } }
/* ---------- hero band (lives inside the frame so the margin rules run to the top) ---------- */
.band{ position:relative; }
.band__inner{ position:relative; z-index:1; padding:34px 30px 34px; }
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.wordmark:hover{ opacity:.78; }
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background:linear-gradient(135deg,#2c8c43,#176A1C); box-shadow:0 8px 18px -10px rgba(23,106,28,.8);
transition:transform .15s var(--ease), box-shadow .15s var(--ease); }
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@media (max-width:620px){ .ctl-subhint{ padding-left:0; } }
/* system chips (compare) */
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font-size:13px; font-weight:500; color:var(--ink-2); background:var(--paper); border:1px solid var(--line);
padding:7px 13px 7px 11px; border-radius:999px; transition:all .18s var(--ease); }
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.syschip[data-focal="true"]{ border-color:var(--c); background:var(--cw); color:var(--cd); box-shadow:0 0 0 1px var(--c) inset; font-weight:700; }
.syschip[data-focal="true"] .sub{ color:var(--cd); }
/* segmented + chips for filters */
.seg{ display:inline-flex; background:var(--track); border:1px solid var(--line); border-radius:999px; padding:3px; gap:2px; }
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background:var(--paper); border:1px solid var(--line); border-radius:999px; padding:6px 12px; transition:all .18s var(--ease); white-space:nowrap; }
.fchip small{ font-family:"Roboto Mono",monospace; opacity:.55; margin-left:5px; font-size:10px; }
.fchip:hover{ border-color:rgba(0,0,0,.2); color:var(--ink); }
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.fchip[aria-pressed="true"] small{ opacity:.8; }
.ctl-spacer{ flex:1; }
.countpill{ font-family:"Roboto Mono",monospace; font-size:12px; color:var(--ink); background:var(--paper); border:1px solid var(--line); border-radius:999px; padding:6px 13px; white-space:nowrap; }
.countpill b{ color:var(--green-press); font-weight:700; }
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background:var(--paper); border:1px solid var(--line); border-radius:999px; padding:7px 14px; transition:all .18s var(--ease);
display:inline-flex; align-items:center; gap:6px; }
.btn:hover{ color:var(--ink); border-color:rgba(0,0,0,.22); }
.btn[disabled]{ opacity:.4; cursor:default; }
/* ---------- figure body (bignum + bars) ---------- */
.figbody{ display:grid; grid-template-columns: minmax(220px, .8fr) 1.55fr; }
.figfocus{ padding:30px 30px 28px; border-right:1px solid var(--line); display:flex; flex-direction:column; background:linear-gradient(180deg,var(--cw),transparent 72%); }
.bignum{ font-weight:900; font-size:clamp(3.6rem,8vw,5.6rem); line-height:.9; letter-spacing:-.035em; color:var(--cd); font-variant-numeric:tabular-nums; display:flex; align-items:flex-start; }
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.focusname{ margin-top:14px; font-size:1.1rem; font-weight:700; }
.focussub{ color:var(--ink-faint); font-size:12.5px; margin-top:2px; }
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.focusmeta b{ color:var(--ink); }
.figbars{ padding:28px 32px 26px; display:flex; flex-direction:column; justify-content:center; gap:18px; }
.barrow{ display:grid; gap:8px; transition:opacity .25s; }
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.barrow__name{ font-size:14px; font-weight:500; color:var(--ink-soft); display:flex; align-items:center; gap:8px; transition:all .2s; }
.barrow__name small{ font-family:"Roboto Mono",monospace; font-weight:400; font-size:10px; letter-spacing:.04em; text-transform:uppercase; color:var(--ink-faint); }
.barrow[data-focal="true"] .barrow__name{ color:var(--ink); font-weight:700; }
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.barrow[data-lead="true"] .lead-tag{ opacity:1; }
.barrow__r{ display:flex; align-items:baseline; gap:10px; }
.barrow__delta{ font-family:"Roboto Mono",monospace; font-size:11px; color:var(--ink-faint); min-width:6ch; text-align:right; }
.barrow__val{ font-family:"Roboto Mono",monospace; font-variant-numeric:tabular-nums; font-size:18px; font-weight:500; color:var(--ink-soft); min-width:5.5ch; text-align:right; transition:color .2s; }
.barrow[data-focal="true"] .barrow__val{ color:var(--cd); font-weight:700; }
.bar{ height:13px; background:var(--track); border-radius:7px; overflow:hidden; box-shadow:inset 0 1px 2px rgba(0,0,0,.05); }
.bar__fill{ height:100%; width:0; border-radius:7px; background:var(--c); opacity:.5; transition:width .55s var(--ease), opacity .25s; }
.barrow[data-focal="true"] .bar__fill{ opacity:1; background:linear-gradient(90deg,var(--cd),var(--c)); }
.axis{ margin-top:4px; display:flex; justify-content:space-between; align-items:center; padding-top:8px; border-top:1px dashed var(--line); }
.axis span{ font-family:"Roboto Mono",monospace; font-size:10.5px; color:var(--ink-faint); }
.axis .mid{ color:var(--ink-faint); }
.subset-cap{ margin-top:14px; font-size:12.5px; color:var(--ink-soft); }
.subset-cap b{ color:var(--ink); font-weight:600; }
.empty-fig{ padding:40px; text-align:center; color:var(--ink-faint); font-size:14px; display:none; }
/* ---------- shared grid (breakdown + docs) ---------- */
.ghead, .grow{ display:grid; align-items:center; }
.ghead{ padding:12px 24px; border-bottom:1px solid var(--line); background:var(--paper-2); position:sticky; top:0; z-index:5; }
.gh-col{ font-family:"Roboto Mono",monospace; font-size:10px; letter-spacing:.07em; text-transform:uppercase; color:var(--ink-faint); }
.gh-eng{ display:flex; flex-direction:column; gap:2px; cursor:pointer; }
.gh-eng .nm{ display:flex; align-items:center; gap:6px; color:var(--ink-soft); text-transform:none; font-size:12.5px; letter-spacing:0; font-weight:600; }
.gh-eng[data-focal="true"] .nm{ color:var(--cd); }
.gh-eng .sw{ width:9px; height:9px; border-radius:3px; background:var(--c); opacity:.55; }
.gh-eng[data-focal="true"] .sw{ opacity:1; }
.gh-eng .agg{ font-family:"Roboto Mono",monospace; font-size:13px; font-weight:700; color:var(--ink-soft); text-transform:none; letter-spacing:0; }
.gh-eng[data-focal="true"] .agg{ color:var(--cd); }
.gh-eng .sortcaret{ opacity:0; font-size:9px; }
.gh-eng[data-sorted] .sortcaret{ opacity:.7; }
.scell{ display:grid; grid-template-columns:1fr auto; align-items:center; gap:9px; padding-right:16px; }
.scell__track{ height:8px; background:var(--track); border-radius:5px; overflow:hidden; }
.scell__fill{ height:100%; width:0; background:var(--c); opacity:.5; border-radius:5px; transition:width .5s var(--ease); }
.scell[data-focal="true"] .scell__fill{ opacity:1; background:linear-gradient(90deg,var(--cd),var(--c)); }
.scell__num{ font-family:"Roboto Mono",monospace; font-variant-numeric:tabular-nums; font-size:12.5px; color:var(--ink-soft); min-width:4ch; text-align:right; }
.scell[data-focal="true"] .scell__num{ color:var(--cd); font-weight:700; }
/* breakdown */
.bd-toggle{ display:inline-flex; }
.bd-body .grow{ padding:10px 24px; border-bottom:1px solid var(--line-2); transition:background .15s; }
.bd-body .grow:last-child{ border-bottom:0; }
.bd-body .grow:hover{ background:var(--paper-2); }
.bd-label{ display:flex; align-items:center; gap:10px; }
.bd-key{ font-weight:700; font-size:13.5px; text-transform:uppercase; font-family:"Roboto Mono",monospace; letter-spacing:.02em; color:var(--ink); }
.bd-count{ font-family:"Roboto Mono",monospace; font-size:11px; color:var(--ink-faint); }
.bd-count b{ color:var(--ink-soft); font-weight:600; }
/* documents table */
.doc-scroll{ max-height:540px; overflow-y:auto; }
.doc-scroll::-webkit-scrollbar{ width:10px; }
.doc-scroll::-webkit-scrollbar-thumb{ background:rgba(0,0,0,.16); border-radius:99px; border:3px solid var(--paper); }
.doc-body .grow{ padding:9px 24px; border-bottom:1px solid var(--line-2); transition:background .12s; }
.doc-body .grow:last-child{ border-bottom:0; }
.doc-body .grow:hover{ background:var(--paper-2); }
.doc-body .grow.hide{ display:none; }
.doc-label{ display:flex; align-items:flex-start; gap:10px; padding-right:18px; min-width:0; }
.doc-idx{ font-family:"Roboto Mono",monospace; font-size:11px; color:var(--ink-faint); width:2.4ch; text-align:right; padding-top:2px; flex:none; }
.doc-meta{ min-width:0; }
.doc-name{ font-size:13px; font-weight:600; color:var(--ink); line-height:1.3; white-space:nowrap; overflow:hidden; text-overflow:ellipsis; }
.doc-source{ margin-left:7px; font-family:"Roboto Mono",monospace; font-size:10px; font-weight:600; color:var(--green-press); text-decoration:none; white-space:nowrap; }
.doc-source:hover{ text-decoration:underline; }
.doc-feat{ font-size:11px; color:var(--ink-faint); line-height:1.3; margin-top:1px; white-space:nowrap; overflow:hidden; text-overflow:ellipsis; }
.doc-tags{ display:inline-flex; gap:4px; margin-right:6px; }
.t{ font-family:"Roboto Mono",monospace; font-size:9px; letter-spacing:.02em; text-transform:uppercase; color:var(--ink-soft); background:var(--track); border-radius:4px; padding:1px 5px; }
.t.lang{ color:var(--green-press); background:var(--green-wash); }
.doc-empty{ padding:34px; text-align:center; color:var(--ink-faint); font-size:13px; display:none; }
/* legend / footer */
footer{ margin-top:46px; padding-top:22px; border-top:1px solid var(--line); display:flex; justify-content:space-between; gap:18px; flex-wrap:wrap; align-items:flex-start; }
footer p{ margin:0; color:var(--ink-faint); font-size:12px; max-width:62ch; }
.legend{ display:flex; gap:15px; flex-wrap:wrap; }
.legend span{ display:inline-flex; align-items:center; gap:7px; font-family:"Roboto Mono",monospace; font-size:11.5px; color:var(--ink-2); }
.legend i{ width:11px; height:11px; border-radius:3px; }
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<b>DOCUPIPE</b>
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<a class="tag-pill" href="https://github.com/DocuPipe/docubench" target="_blank" rel="noopener">Source & data on GitHub ↗</a>
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<div class="hero-eyebrow eyebrow reveal" style="animation-delay:.02s">AI document-extraction benchmark</div>
<h1 class="reveal" style="animation-delay:.06s">DocuBench</h1>
<p class="lede reveal" style="animation-delay:.1s">DocuBench pairs 50 real-world documents with a JSON Schema and a hand-verified label, then scores each system on macro-average field accuracy. The set is deliberately hard: arrays and nested tables, right-to-left and CJK scripts, rotated scans, handwriting, and non-PDF formats.</p>
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<h2 class="sec-title">Macro-average field accuracy</h2>
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<span class="countpill" id="countPill"><b>50</b> / 50 docs</span>
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Reset
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<div class="ctl-subhint">⌘-click a model in the list to highlight it</div>
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<div class="fu"><span class="ctl-label">Language</span><div class="seg" id="fLang"></div></div>
<div class="fu"><span class="fu-label">Length</span><div class="seg" id="fLen"></div></div>
<div class="fu"><span class="fu-label">Format</span><div class="seg" id="fFmt"></div></div>
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<div class="bignum"><span id="bigNum">97.56</span><span class="pc">%</span></div>
<div class="focusname" id="focusName">DocuPipe high</div>
<div class="focussub" id="focusSub">leads across all 50 documents</div>
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<div class="empty-fig" id="emptyFig">No documents match the current slice. Loosen a filter.</div>
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<!-- ============ BREAKDOWN MATRIX ============ -->
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<h2 class="sec-title">Accuracy by slice</h2>
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<!-- ============ DOCUMENTS ============ -->
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<h2 class="sec-title">Per-document scores</h2>
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<div class="ghead" id="docHead" data-engine="docupipe_high"></div>
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<h2 class="sec-title">Learn more</h2>
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<h3>The full DocuBench write-up</h3>
<p>Methodology, the scoring contract, worked examples, and a per-document analysis of where each system wins and loses.</p>
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<a class="learn-btn" href="https://www.docupipe.ai/blog/docupipe-vs-extend-benchmark" target="_blank" rel="noopener">Read the write-up →</a>
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30-row line-item array w/ symbol product codes", "flags": {"arrays": true, "reconcile": false, "rtl": false, "cjk": true, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.98401, "docupipe_standard": 0.98401, "extend": 0.907107, "gpt": 0.970812, "claude": 0.965736, "gemini": 0.975888}, {"id": "45xidifn", "name": "Hitachi Japanese Statement", "lang": "ja", "ftype": "pdf", "pages": 1, "feature": "Japanese; 32 trip rows + 12 subtotals, grand total reconciles", "flags": {"arrays": false, "reconcile": true, "rtl": false, "cjk": true, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.989461, "docupipe_standard": 1.0, "extend": 0.900077, "gpt": 0.90285, "claude": 0.802927, "gemini": 0.90285}, {"id": "97uZroyv", "name": "Hyperfine Schedule Sheet (sliced from 16p)", "lang": "en", "ftype": "pdf", "pages": 1, "feature": "architectural door/room/window schedules; sparse blanks -> null", "flags": {"arrays": false, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 0.962085, "claude": 0.962085, "gemini": 1.0}, {"id": "WxP8Tqgf", "name": "Italian Busta Paga (payslip)", "lang": "it", "ftype": "pdf", "pages": 1, "feature": "VOCE/competenze pay-line array, gross/net reconcile", "flags": {"arrays": true, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.973505, "docupipe_standard": 0.973505, "extend": 0.942935, "gpt": 0.964674, "claude": 1.0, "gemini": 0.951766}, {"id": "LYeb3G3s", "name": "Labsmart CBC Lab Report", "lang": "en", "ftype": "pdf", "pages": 2, "feature": "13-analyte results array, nested patient", "flags": {"arrays": true, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": true}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 0.980769, "gpt": 0.980769, "claude": 0.980769, "gemini": 1.0}, {"id": "J6buHXQ4", "name": "Majdal Shams Municipal Financials", "lang": "he", "ftype": "pdf", "pages": 13, "feature": "Hebrew; balance-sheet + budget receipts/payments arrays", "flags": {"arrays": true, "reconcile": false, "rtl": true, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.954613, "docupipe_standard": 0.951444, "extend": 0.627876, "gpt": 0.925072, "claude": 0.929443, "gemini": 0.902976}, {"id": "4kVtTRoL", "name": "Moneck Merchant Statement", "lang": "en", "ftype": "pdf", "pages": 5, "feature": "merchant card statement; deposits/fees/chargebacks arrays", "flags": {"arrays": true, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.997619, "docupipe_standard": 1.0, "extend": 0.997619, "gpt": 0.866667, "claude": 0.921429, "gemini": 0.919048}, {"id": "ENoM9faK", "name": "NASA Mechanical Drawing (sliced from 128p)", "lang": "en", "ftype": "pdf", "pages": 1, "feature": "engineering drawing; 15-row list-of-material array", "flags": {"arrays": true, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.947692, "docupipe_standard": 0.804, "extend": 0.795385, "gpt": 0.844776, "claude": 0.863582, "gemini": 1.0}, {"id": "NNaGgwE5", "name": "NRCS Pedon Handwritten Form", "lang": "en", "ftype": "pdf", "pages": 2, "feature": "handwriting; 10 soil-horizon rows, Munsell colors", "flags": {"arrays": false, "reconcile": false, "rtl": false, "cjk": false, "handwriting": true, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 0.977849, "extend": 0.977528, "gpt": 0.785714, "claude": 0.977528, "gemini": 0.988764}, {"id": "OayFbGlG", "name": "Optum Discharge Summary", "lang": "en", "ftype": "pdf", "pages": 2, "feature": "healthcare; diagnoses array, empty-meds case", "flags": {"arrays": true, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 0.944444, "extend": 1.0, "gpt": 1.0, "claude": 1.0, "gemini": 1.0}, {"id": "zKibU88u", "name": "Orders Export XML", "lang": "en", "ftype": "xml", "pages": 1, "feature": "200-order export; needle-extraction of one order + scattered lookups", "flags": {"arrays": false, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": true, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 1.0, "claude": 1.0, "gemini": 1.0}, {"id": "C7fe2lau", "name": "Peppol UBL E-Invoice", "lang": "en", "ftype": "xml", "pages": 1, "feature": "UBL XML; 3 invoice lines + tax/monetary totals reconcile", "flags": {"arrays": false, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 1.0, "claude": 1.0, "gemini": 1.0}, {"id": "WnxX1Buq", "name": "PG&E Solar NEM Statement", "lang": "en", "ftype": "pdf", "pages": 4, "feature": "energy NEM; charge-line + NEM-credit arrays reconcile", "flags": {"arrays": true, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 0.848485, "gpt": 0.975, "claude": 1.0, "gemini": 1.0}, {"id": "5YJaBbNg", "name": "Portuguese Balanco e Demonstracao de Resultados (excerpt)", "lang": "pt", "ftype": "pdf", "pages": 2, "feature": "balance-sheet + income-statement arrays reconcile", "flags": {"arrays": true, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.97561, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 0.97561, "claude": 0.97561, "gemini": 0.963855}, {"id": "NlWTPen5", "name": "PPL Electric Two Bill Example", "lang": "en", "ftype": "pdf", "pages": 3, "feature": "delivery charge array, usage + demand", "flags": {"arrays": true, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 1.0, "claude": 1.0, "gemini": 1.0}, {"id": "qQUPWQNA", "name": "Ramat Gan Arnona Rates 2025", "lang": "he", "ftype": "pdf", "pages": 5, "feature": "Hebrew; residential + zoned/banded property-type rate arrays", "flags": {"arrays": true, "reconcile": false, "rtl": true, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.763351, "docupipe_standard": 0.78142, "extend": 0.737057, "gpt": 0.748112, "claude": 0.799718, "gemini": 0.734771}, {"id": "Oe7iRM1G", "name": "Sage French Bulletin de Paie (payslip)", "lang": "fr", "ftype": "pdf", "pages": 1, "feature": "18-row social-contributions array, gross/net reconcile", "flags": {"arrays": true, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 0.955137, "extend": 0.809816, "gpt": 1.0, "claude": 0.841837, "gemini": 0.946454}, {"id": "UnG6cLfP", "name": "Samson Oil & Gas Check Stub", "lang": "en", "ftype": "pdf", "pages": 2, "feature": "oil&gas revenue lines, per-line deductions, gross/net reconcile", "flags": {"arrays": false, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 0.913131, "gpt": 0.969697, "claude": 1.0, "gemini": 0.939394}, {"id": "BnftpXVQ", "name": "SEC EDGAR FedEx Credit Agreement (excerpt)", "lang": "en", "ftype": "pdf", "pages": 2, "feature": "22-lender commitment array sums to $1.5B", "flags": {"arrays": true, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 1.0, "claude": 1.0, "gemini": 1.0}, {"id": "SkD8Lz8o", "name": "SEC EDGAR Precision Lease 4th Amendment (excerpt)", "lang": "en", "ftype": "pdf", "pages": 3, "feature": "transposed multi-period rent schedule -> flat array", "flags": {"arrays": true, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 0.885714, "claude": 1.0, "gemini": 1.0}, {"id": "yTRFKVPx", "name": "Smartsheet Construction Invoice", "lang": "en", "ftype": "pdf", "pages": 4, "feature": "materials/labor/misc line-item arrays, reconciling totals", "flags": {"arrays": true, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 1.0, "claude": 1.0, "gemini": 1.0}, {"id": "DtfW60lS", "name": "Spanish Iberdrola Factura Electricidad", "lang": "es", "ftype": "pdf", "pages": 4, "feature": "facturacion charge array reconciles to Total a pagar", "flags": {"arrays": true, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 1.0, "claude": 1.0, "gemini": 1.0}, {"id": "nESapyAA", "name": "Taub Hebrew Tax Invoice", "lang": "he", "ftype": "pdf", "pages": 1, "feature": "Hebrew RTL; line-item + payment, 18% VAT reconciles", "flags": {"arrays": false, "reconcile": true, "rtl": true, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.954545, "docupipe_standard": 0.954545, "extend": 1.0, "gpt": 0.909091, "claude": 0.909091, "gemini": 0.909091}, {"id": "QxoQ6zgn", "name": "UICCP Packing List Carton Dimensions", "lang": "en", "ftype": "pdf", "pages": 1, "feature": "carton/packing spec table array", "flags": {"arrays": true, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 1.0, "claude": 1.0, "gemini": 1.0}, {"id": "phovuuuk", "name": "University of Pittsburgh Filled Sample W-2", "lang": "en", "ftype": "pdf", "pages": 3, "feature": "box 12 + box 14 code arrays", "flags": {"arrays": true, "reconcile": false, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 1.0, "docupipe_standard": 1.0, "extend": 1.0, "gpt": 1.0, "claude": 1.0, "gemini": 0.961538}, {"id": "iTruRDrG", "name": "Vince Sea Waybill", "lang": "en", "ftype": "pdf", "pages": 2, "feature": "cargo array w/ HS codes, cartons/weight/cbm reconcile", "flags": {"arrays": true, "reconcile": true, "rtl": false, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.8, "docupipe_standard": 0.8, "extend": 0.615385, "gpt": 0.981818, "claude": 0.628571, "gemini": 1.0}, {"id": "qoSTXgNE", "name": "Zionist Strategy NGO Financials", "lang": "he", "ftype": "pdf", "pages": 4, "feature": "Hebrew; 3-statement leaf line items, 3 reconciliations", "flags": {"arrays": false, "reconcile": true, "rtl": true, "cjk": false, "handwriting": false, "rotated": false, "needle": false, "nested": false}, "docupipe_high": 0.694444, "docupipe_standard": 0.65625, "extend": 0.694444, "gpt": 0.75, "claude": 0.65, "gemini": 0.740741}]};
const ENGINES = {
docupipe_high: { label:"DocuPipe", tier:"high effort" },
docupipe_standard: { label:"DocuPipe", tier:"standard" },
gpt: { label:"GPT-5.5", tier:"" },
extend: { label:"Extend", tier:"" },
claude: { label:"Claude", tier:"Sonnet 4.6" },
gemini: { label:"Gemini", tier:"3.5 Flash" },
};
const ORDER = ["docupipe_high","gemini","gpt","extend","claude","docupipe_standard"];
/* =================== STATE =================== */
const state = {
shown: new Set(ORDER),
focal: "docupipe_high",
filters: { lang:"all", len:"all", fmt:"all", features:new Set() },
dim: "ftype",
sortKey: "docupipe_high",
sortDir: -1,
};
/* =================== HELPERS =================== */
const mean = a => a.length ? a.reduce((x,y)=>x+y,0)/a.length : 0;
const fmt = (v,dp=2) => (v*100).toFixed(dp);
const IMG = new Set(["jpeg","png","tiff"]);
function matches(d){
const f = state.filters;
if(f.lang==="en" && d.lang!=="en") return false;
if(f.lang==="non" && d.lang==="en") return false;
if(f.len==="single" && d.pages!==1) return false;
if(f.len==="multi" && !(d.pages>1)) return false;
if(f.len==="long" && !(d.pages>5)) return false;
if(f.fmt==="pdf" && d.ftype!=="pdf") return false;
if(f.fmt==="image" && !IMG.has(d.ftype)) return false;
if(f.fmt==="other" && (d.ftype==="pdf"||IMG.has(d.ftype))) return false;
for(const fl of f.features){ if(!d.flags[fl]) return false; }
return true;
}
const subsetDocs = () => DATA.docs.filter(matches);
function aggFor(engine, docs){ return mean(docs.map(d=>d[engine])); }
function floorScale(minPct){
if(minPct >= 100) return 95; // avoid a zero-width scale when every system is perfect
let fl = Math.floor(minPct/5)*5; // floor to the nearest 5 below the lowest system
if(minPct - fl < 0.25) fl -= 5; // only step down if the min sits right on the gridline
return Math.max(0, fl);
}
const shownOrder = () => ORDER.filter(k=>state.shown.has(k));
/* =================== BUILD: system chips =================== */
const sysChips = document.getElementById("sysChips");
ORDER.forEach(k=>{
const e = ENGINES[k];
const b = document.createElement("button");
b.className="syschip"; b.dataset.engine=k;
b.setAttribute("aria-pressed","true");
b.innerHTML = `<span class="dot"></span><span>${e.label}</span>${e.tier?`<span class="sub">${e.tier}</span>`:""}`;
// normal click = include/exclude in the comparison (at least one must stay on);
// ⌘/Ctrl-click = highlight that model (showing it first if it was hidden)
b.addEventListener("click",(ev)=>{
if(ev.metaKey || ev.ctrlKey){
if(!state.shown.has(k)) state.shown.add(k);
state.focal=k;
renderAll();
return;
}
if(state.shown.has(k)){
if(state.shown.size===1) return; // keep at least one
state.shown.delete(k);
if(state.focal===k) state.focal=shownOrder()[0]; // hand off the highlight
} else {
state.shown.add(k);
}
renderAll();
});
sysChips.appendChild(b);
});
/* =================== BUILD: filter controls =================== */
function buildSeg(host, options, getCur, onPick){
host.innerHTML="";
options.forEach(o=>{
const b=document.createElement("button");
b.innerHTML = `${o.label}${o.count!=null?`<small>${o.count}</small>`:""}`;
b.addEventListener("click",()=>{ onPick(o.value); refreshSeg(host,options,getCur); renderAll(); });
host.appendChild(b);
});
refreshSeg(host,options,getCur);
}
function refreshSeg(host,options,getCur){
[...host.children].forEach((b,i)=> b.setAttribute("aria-pressed", options[i].value===getCur()));
}
const cnt = pred => DATA.docs.filter(pred).length;
buildSeg(document.getElementById("fLang"),
[{label:"All",value:"all"},{label:"English",value:"en",count:cnt(d=>d.lang==="en")},{label:"Non-English",value:"non",count:cnt(d=>d.lang!=="en")}],
()=>state.filters.lang, v=>state.filters.lang=v);
buildSeg(document.getElementById("fLen"),
[{label:"All",value:"all"},{label:"1 page",value:"single",count:cnt(d=>d.pages===1)},{label:"Multi",value:"multi",count:cnt(d=>d.pages>1)},{label:"6+ pages",value:"long",count:cnt(d=>d.pages>5)}],
()=>state.filters.len, v=>state.filters.len=v);
buildSeg(document.getElementById("fFmt"),
[{label:"All",value:"all"},{label:"PDF",value:"pdf",count:cnt(d=>d.ftype==="pdf")},{label:"Image",value:"image",count:cnt(d=>IMG.has(d.ftype))},{label:"Other",value:"other",count:cnt(d=>d.ftype!=="pdf"&&!IMG.has(d.ftype))}],
()=>state.filters.fmt, v=>state.filters.fmt=v);
const FEATURES = [
{flag:"arrays", label:"Arrays"},
{flag:"reconcile", label:"Reconciling totals"},
{flag:"rtl", label:"RTL script"},
{flag:"cjk", label:"CJK script"},
{flag:"rotated", label:"Rotated scan"},
{flag:"needle", label:"Needle-in-haystack"},
{flag:"handwriting", label:"Handwriting"},
];
const fFeat = document.getElementById("fFeat");
FEATURES.forEach(f=>{
const c = cnt(d=>d.flags[f.flag]); if(c===0) return;
const b=document.createElement("button");
b.className="fchip"; b.setAttribute("aria-pressed","false");
b.innerHTML = `${f.label}<small>${c}</small>`;
b.addEventListener("click",()=>{
if(state.filters.features.has(f.flag)) state.filters.features.delete(f.flag);
else state.filters.features.add(f.flag);
b.setAttribute("aria-pressed", state.filters.features.has(f.flag));
renderAll();
});
fFeat.appendChild(b);
});
document.getElementById("resetBtn").addEventListener("click",()=>{
state.filters = { lang:"all", len:"all", fmt:"all", features:new Set() };
// re-mark the first ("All") option of each segmented control as active
document.querySelectorAll("#fLang button,#fLen button,#fFmt button").forEach(b=>b.setAttribute("aria-pressed","false"));
document.querySelectorAll('#fLang button')[0].setAttribute("aria-pressed","true");
document.querySelectorAll('#fLen button')[0].setAttribute("aria-pressed","true");
document.querySelectorAll('#fFmt button')[0].setAttribute("aria-pressed","true");
fFeat.querySelectorAll("button").forEach(b=>b.setAttribute("aria-pressed","false"));
renderAll();
});
/* =================== BUILD: hero bars (persistent rows) =================== */
const figBars = document.getElementById("figBars");
const barRefs = {};
ORDER.forEach(k=>{
const e=ENGINES[k];
const row=document.createElement("div");
row.className="barrow"; row.dataset.engine=k;
row.innerHTML=`
<div class="barrow__top">
<div class="barrow__name">${e.label}${e.tier?` <small>${e.tier}</small>`:""} <span class="lead-tag">Winner</span></div>
<div class="barrow__r"><span class="barrow__delta"></span><span class="barrow__val num"></span></div>
</div>
<div class="bar"><div class="bar__fill"></div></div>`;
figBars.appendChild(row);
barRefs[k]={ row, name:row.querySelector(".barrow__name"), delta:row.querySelector(".barrow__delta"), val:row.querySelector(".barrow__val"), fill:row.querySelector(".bar__fill") };
});
const axisEl=document.createElement("div");
axisEl.className="axis";
axisEl.innerHTML=`<span id="axMin">90%</span><span>100%</span>`;
figBars.appendChild(axisEl);
const capEl=document.createElement("div");
capEl.className="subset-cap"; capEl.id="subsetCap";
figBars.appendChild(capEl);
/* =================== BUILD: matrix + docs headers/bodies =================== */
const bdHead=document.getElementById("bdHead"), bdBody=document.getElementById("bdBody");
const docHead=document.getElementById("docHead"), docBody=document.getElementById("docBody");
function gridTemplate(nSys, labelFr){ return `${labelFr} repeat(${nSys}, minmax(96px, .8fr))`; }
function sourceFileHref(d){
const path = `documents/${d.id}.${d.ftype}`;
if(location.protocol === "file:") return path;
return `https://github.com/DocuPipe/docubench/blob/main/${path}`;
}
/* docs rows persistent */
const docRefs={};
DATA.docs.forEach((d,i)=>{
const row=document.createElement("div"); row.className="grow"; row.dataset.id=d.id;
row.innerHTML=`<div class="doc-label">
<span class="doc-idx num"></span>
<div class="doc-meta">
<div class="doc-name"><span class="doc-tags"><span class="t lang">${d.lang}</span><span class="t">${d.ftype}</span></span>${d.name}<a class="doc-source" href="${sourceFileHref(d)}" target="_blank" rel="noopener">source file</a></div>
<div class="doc-feat">${d.feature}</div>
</div>
</div>`;
docBody.appendChild(row);
docRefs[d.id]={ row, idx:row.querySelector(".doc-idx"), cells:{} };
});
/* =================== RENDER =================== */
function propagateEngine(){
const k=state.focal;
["figBody","figFocus","bdHead","docHead"].forEach(id=>document.getElementById(id).dataset.engine=k);
document.querySelector(".band").dataset.engine=k;
}
function renderAll(){
propagateEngine();
const shown=shownOrder();
const docs=subsetDocs();
const agg={}; shown.forEach(k=>agg[k]=aggFor(k,docs));
// system chips state
ORDER.forEach(k=>{
const b=[...sysChips.children].find(x=>x.dataset.engine===k);
b.setAttribute("aria-pressed", state.shown.has(k));
b.dataset.focal = (k===state.focal);
});
// count + reset
const f=state.filters;
const active = f.lang!=="all"||f.len!=="all"||f.fmt!=="all"||f.features.size>0;
document.getElementById("countPill").innerHTML=`<b>${docs.length}</b> / 50 docs`;
document.getElementById("resetBtn").disabled=!active;
const figBody=document.getElementById("figBody");
const emptyFig=document.getElementById("emptyFig");
if(docs.length===0){
figBody.style.display="none"; emptyFig.style.display="block";
} else {
figBody.style.display=""; emptyFig.style.display="none";
renderBars(shown, agg, docs);
}
renderMatrix(shown);
renderDocs(shown, docs);
renderLegend(shown);
}
function renderBars(shown, agg, docs){
const vals=shown.map(k=>agg[k]);
const maxV=Math.max(...vals), minV=Math.min(...vals);
const floorPct=floorScale(minV*100);
document.getElementById("axMin").textContent=floorPct+"%";
const span=100-floorPct;
// ranking
const ranked=[...shown].sort((a,b)=>agg[b]-agg[a]);
ORDER.forEach(k=>{
const r=barRefs[k];
if(!state.shown.has(k)){ r.row.classList.add("hide"); return; }
r.row.classList.remove("hide");
r.row.style.order=ranked.indexOf(k);
const v=agg[k];
r.val.textContent=fmt(v,2);
r.fill.style.width=(Math.max(0,(v*100-floorPct))/span*100).toFixed(2)+"%";
const isFocal=k===state.focal;
r.row.dataset.focal=isFocal;
r.row.dataset.lead=(Math.abs(v-maxV)<1e-9);
if(isFocal){ r.delta.textContent=""; }
else{ const d=parseFloat(fmt(v,2))-parseFloat(fmt(agg[state.focal],2)); r.delta.textContent=(d>=0?"+":"−")+Math.abs(d).toFixed(2); }
});
// focus panel
const fa=agg[state.focal];
document.getElementById("bigNum").textContent=fmt(fa,2);
const e=ENGINES[state.focal];
document.getElementById("focusName").textContent=`${e.label}${e.tier?" "+e.tier:""}`;
const isLead=Math.abs(fa-maxV)<1e-9;
const n=docs.length;
document.getElementById("focusSub").textContent= isLead
? `leads across ${n} document${n>1?"s":""}`
: `#${ranked.indexOf(state.focal)+1} of ${shown.length} on ${n} document${n>1?"s":""}`;
document.getElementById("subsetCap").innerHTML = subsetCaption(n);
}
function subsetCaption(n){
const f=state.filters; const parts=[];
if(f.lang==="en") parts.push("English"); else if(f.lang==="non") parts.push("non-English");
if(f.len==="single") parts.push("single-page"); else if(f.len==="multi") parts.push("multi-page"); else if(f.len==="long") parts.push("6+ pages");
if(f.fmt==="pdf") parts.push("PDF"); else if(f.fmt==="image") parts.push("image"); else if(f.fmt==="other") parts.push("non-PDF/image");
FEATURES.forEach(ft=>{ if(f.features.has(ft.flag)) parts.push(ft.label); });
if(!parts.length) return `Across <b>all ${n}</b> documents in the benchmark.`;
return `Across <b>${n}</b> document${n>1?"s":""}: ${parts.join(" · ")}.`;
}
function engHeaderCols(host, labelText, sortable){
const shown=shownOrder();
host.style.gridTemplateColumns=gridTemplate(shown.length, host===docHead?"1.7fr":"1.4fr");
let html=`<div class="gh-col">${labelText}</div>`;
shown.forEach(k=>{
const e=ENGINES[k];
const sorted = sortable && state.sortKey===k;
html+=`<div class="gh-eng gh-col" data-engine="${k}" data-key="${k}" ${state.focal===k?'data-focal="true"':""} ${sorted?`data-sorted="${state.sortDir}"`:""}>
<div class="nm"><span class="sw"></span>${e.label}${e.tier?" "+e.tier:""} ${sortable?`<span class="sortcaret">${sorted?(state.sortDir<0?"▼":"▲"):"▾"}</span>`:""}</div>
<div class="agg">${"—"}</div></div>`;
});
host.innerHTML=html;
}
let bdCellMap={};
function renderMatrix(shown){
// header
engHeaderCols(bdHead, "Slice", false);
// aggregates over FULL set
shown.forEach(k=>{ const a=aggFor(k,DATA.docs); bdHead.querySelector(`.gh-eng[data-key="${k}"] .agg`).textContent=fmt(a,2)+"%"; });
// rows
const groups={};
DATA.docs.forEach(d=>{ const v=d[state.dim]; (groups[v]||=[]).push(d); });
const rows=Object.keys(groups).map(v=>({value:v,docs:groups[v]}));
rows.sort((a,b)=>b.docs.length-a.docs.length || a.value.localeCompare(b.value));
bdBody.innerHTML=""; bdCellMap={};
rows.forEach(r=>{
const el=document.createElement("div"); el.className="grow";
el.style.gridTemplateColumns=gridTemplate(shown.length,"1.4fr");
let html=`<div class="bd-label"><span class="bd-key">${r.value}</span><span class="bd-count"><b>${r.docs.length}</b> doc${r.docs.length>1?"s":""}</span></div>`;
shown.forEach(k=>{
const v=aggFor(k,r.docs);
html+=`<div class="scell" data-engine="${k}" ${state.focal===k?'data-focal="true"':""}>
<div class="scell__track"><div class="scell__fill" style="width:${(v*100).toFixed(1)}%"></div></div>
<span class="scell__num">${fmt(v,1)}</span></div>`;
});
el.innerHTML=html; bdBody.appendChild(el);
});
// header click = nothing for matrix
}
function renderDocs(shown, docs){
engHeaderCols(docHead, `Document · n=${docs.length}`, true);
// header aggregates over subset + sort handlers
shown.forEach(k=>{
const a=aggFor(k,docs);
docHead.querySelector(`.gh-eng[data-key="${k}"] .agg`).textContent= docs.length?fmt(a,2)+"%":"—";
const col=docHead.querySelector(`.gh-eng[data-key="${k}"]`);
col.onclick=()=>{ if(state.sortKey===k) state.sortDir*=-1; else { state.sortKey=k; state.sortDir=-1; } renderAll(); };
});
// ensure sortKey is shown
if(!state.shown.has(state.sortKey)) state.sortKey=shown[0];
// order rows
const visIds=new Set(docs.map(d=>d.id));
const sorted=[...docs].sort((a,b)=> (a[state.sortKey]-b[state.sortKey])*state.sortDir || a.name.localeCompare(b.name));
let n=0;
// hide all first, then place sorted
DATA.docs.forEach(d=>{ docRefs[d.id].row.classList.add("hide"); });
sorted.forEach((d,i)=>{
const ref=docRefs[d.id]; ref.row.classList.remove("hide"); ref.row.style.order=i;
ref.idx.textContent=String(++n).padStart(2,"0");
// (re)build cells to match shown systems
rebuildDocCells(d, shown);
});
document.getElementById("docEmpty").style.display = docs.length?"none":"block";
}
function rebuildDocCells(d, shown){
const ref=docRefs[d.id];
ref.row.style.gridTemplateColumns=gridTemplate(shown.length,"1.7fr");
// remove old score cells
ref.row.querySelectorAll(".scell").forEach(n=>n.remove());
shown.forEach(k=>{
const v=d[k];
const cell=document.createElement("div");
cell.className="scell"; cell.dataset.engine=k; if(state.focal===k) cell.dataset.focal="true";
cell.innerHTML=`<div class="scell__track"><div class="scell__fill" style="width:${(v*100).toFixed(1)}%"></div></div><span class="scell__num">${fmt(v,1)}</span>`;
ref.row.appendChild(cell);
});
}
function renderLegend(shown){
const legend=document.getElementById("legend"); if(!legend) return;
legend.innerHTML="";
ORDER.forEach(k=>{
if(!state.shown.has(k)) return;
const e=ENGINES[k];
const s=document.createElement("span"); s.dataset.engine=k;
s.innerHTML=`<i style="background:var(--c);opacity:${k===state.focal?1:.55}"></i>${e.label}${e.tier?" "+e.tier:""}`;
legend.appendChild(s);
});
}
/* =================== matrix toggle =================== */
document.getElementById("bdToggle").addEventListener("click",e=>{
const b=e.target.closest("button"); if(!b) return;
state.dim=b.dataset.dim;
document.querySelectorAll("#bdToggle button").forEach(x=>x.setAttribute("aria-pressed",x===b));
renderMatrix(shownOrder());
});
/* =================== INIT =================== */
renderAll();
</script>
</body>
</html>
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