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Redesign org card: real brand tokens, correct IEEE Access citation, drop team section
#1
by HassanB4 - opened
- index.html +292 -56
index.html
CHANGED
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@@ -7,92 +7,328 @@
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Sans+Arabic:wght@400;500;600;700&family=Tajawal:wght@400;500;700;900&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
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| 10 |
</head>
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| 11 |
-
<body
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| 12 |
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| 13 |
-
<div
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| 14 |
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| 15 |
-
<header
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-
<div
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-
<img src="https://huggingface.co/spaces/Haakkim/README/resolve/main/haakkim-logo-only.png" alt=""
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-
<span
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</div>
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-
<h1
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-
<p
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-
<p
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-
<p
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-
<p
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</header>
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-
<div
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-
<div style="position:absolute;left:50%;top:50%;width:6px;height:6px;background:#0e0f10;border:1px solid #34373d;border-radius:50%;transform:translate(-50%, -50%);"></div>
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-
</div>
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<section>
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-
<h2
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-
<dl
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-
<div
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-
<dt
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-
<dd
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</div>
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-
<div
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-
<dt
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-
<dd
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</div>
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-
<div
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-
<dt
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-
<dd
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</div>
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</dl>
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</section>
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-
<div
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<div style="position:absolute;left:50%;top:50%;width:6px;height:6px;background:#0e0f10;border:1px solid #34373d;border-radius:50%;transform:translate(-50%, -50%);"></div>
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-
</div>
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<section>
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-
<h2
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-
<table
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-
<tr><td
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<tr><td
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-
<tr><td
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-
<tr><td
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-
<tr><td
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-
<tr><td
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</table>
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-
<p
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</section>
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-
<div
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<div style="position:absolute;left:50%;top:50%;width:6px;height:6px;background:#0e0f10;border:1px solid #34373d;border-radius:50%;transform:translate(-50%, -50%);"></div>
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-
</div>
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<section>
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-
<h2
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-
<p style="
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-
<pre
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-
<span
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-
<span
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-
<span
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<span
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<span
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<span
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<span
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Voting; Labeling; Estimation; Clamps; Probability; Computational linguistics;
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Arabic LLMs; human preference; dialects; evaluation; leaderboard},
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<span
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}</pre>
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</section>
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<footer
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<p
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<a href="https://haakkim.tech"
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</p>
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-
<p
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<p
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</footer>
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</div>
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Sans+Arabic:wght@400;500;600;700&family=Tajawal:wght@400;500;700;900&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
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+
<style>
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:root {
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--bg-0: #0e0f10;
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--bg-1: #141517;
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--line-1: #25272b;
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--line-2: #34373d;
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--fg-1: #f4f4f5;
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--fg-2: #c8cbd0;
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--fg-3: #9aa0a8;
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--fg-4: #83898f;
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--accent: #4ade80;
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--accent-hover: #22c55e;
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--accent-soft: rgba(74, 222, 128, 0.10);
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--accent-glow: rgba(74, 222, 128, 0.45);
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+
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+
--gold: #f5b840;
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+
--gold-line: rgba(245, 184, 64, 0.35);
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+
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--font-arabic: 'IBM Plex Sans Arabic', 'Tajawal', 'Segoe UI', sans-serif;
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--font-body: 'IBM Plex Sans Arabic', 'Tajawal', system-ui, sans-serif;
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--font-mono: 'JetBrains Mono', ui-monospace, 'SF Mono', Menlo, monospace;
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+
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--content-w: 720px;
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}
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* { box-sizing: border-box; }
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html, body {
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margin: 0;
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padding: 0;
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background: var(--bg-0);
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color: var(--fg-2);
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}
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+
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body {
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font-family: var(--font-body);
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font-size: 16px;
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line-height: 1.65;
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-webkit-font-smoothing: antialiased;
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}
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+
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+
a {
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+
color: var(--fg-1);
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+
text-decoration-color: var(--line-2);
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+
text-underline-offset: 3px;
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transition: color 0.15s ease, text-decoration-color 0.15s ease;
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}
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+
a:hover { color: var(--accent); text-decoration-color: var(--accent); }
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+
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.wrap {
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max-width: var(--content-w);
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margin: 0 auto;
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padding: 0 24px;
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}
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+
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+
/* ---- divider with pivot dot, echoing the logo's balance point ---- */
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+
.pivot {
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+
position: relative;
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height: 1px;
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+
background: var(--line-1);
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margin: 56px 0;
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}
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.pivot::after {
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content: '';
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position: absolute;
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left: 50%; top: 50%;
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width: 6px; height: 6px;
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background: var(--bg-0);
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border: 1px solid var(--line-2);
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border-radius: 50%;
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transform: translate(-50%, -50%);
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}
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+
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+
/* ---- hero ---- */
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header.hero {
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padding: 72px 0 8px;
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}
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+
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+
.mark-row {
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display: flex;
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+
align-items: center;
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gap: 10px;
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margin-bottom: 44px;
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}
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.mark-row img {
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width: 28px;
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height: 28px;
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border-radius: 7px;
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display: block;
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}
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+
.mark-row span {
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font-family: var(--font-mono);
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font-size: 13px;
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font-weight: 500;
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letter-spacing: 0.08em;
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color: var(--fg-3);
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}
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+
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+
h1.headline {
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direction: rtl;
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font-family: var(--font-arabic);
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font-weight: 700;
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font-size: clamp(72px, 16vw, 140px);
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line-height: 1;
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margin: 0 0 6px;
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color: var(--accent);
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text-shadow: 0 0 28px var(--accent-glow), 0 0 70px rgba(74, 222, 128, 0.18);
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}
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+
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p.romanization {
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font-family: var(--font-mono);
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font-size: 13px;
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letter-spacing: 0.1em;
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color: var(--fg-4);
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margin: 0 0 32px;
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}
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+
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p.lede {
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font-size: 19px;
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line-height: 1.6;
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color: var(--fg-1);
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max-width: 34em;
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margin: 0 0 14px;
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}
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p.sub {
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font-size: 16px;
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| 138 |
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color: var(--fg-3);
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max-width: 36em;
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margin: 0 0 4px;
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}
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+
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p.links {
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font-size: 16px;
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color: var(--fg-3);
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| 146 |
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margin-top: 20px;
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}
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| 148 |
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/* ---- section headings ---- */
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h2 {
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font-size: 22px;
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| 152 |
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font-weight: 600;
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| 153 |
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color: var(--fg-1);
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letter-spacing: -0.01em;
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| 155 |
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margin: 0 0 22px;
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}
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| 157 |
+
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| 158 |
+
section { padding: 0; }
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| 159 |
+
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| 160 |
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/* ---- evaluation modes: definition rows ---- */
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| 161 |
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.modes { border-top: 1px solid var(--line-1); }
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| 162 |
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.mode-row {
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display: grid;
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grid-template-columns: 148px 1fr;
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gap: 20px;
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| 166 |
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padding: 18px 0;
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border-bottom: 1px solid var(--line-1);
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}
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.mode-row dt {
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font-weight: 600;
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color: var(--fg-1);
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font-size: 15px;
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}
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.mode-row dt.ranked { color: var(--gold); }
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.mode-row dd {
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margin: 0;
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color: var(--fg-3);
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font-size: 15px;
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line-height: 1.6;
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}
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.mode-row dd strong { color: var(--fg-2); font-weight: 500; }
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+
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/* ---- dataset ledger table ---- */
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table.ledger {
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width: 100%;
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border-collapse: collapse;
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| 187 |
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font-size: 15px;
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}
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table.ledger tr { border-bottom: 1px solid var(--line-1); }
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table.ledger tr:first-child { border-top: 1px solid var(--line-1); }
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table.ledger td {
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padding: 13px 0;
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vertical-align: baseline;
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}
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table.ledger td:first-child {
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color: var(--fg-4);
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width: 40%;
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}
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table.ledger td:last-child {
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font-family: var(--font-mono);
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color: var(--fg-1);
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text-align: right;
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}
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p.dataset-note {
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color: var(--fg-3);
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font-size: 15px;
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margin: 18px 0 0;
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}
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+
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/* ---- citation ---- */
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pre.cite {
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background: var(--bg-1);
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border: 1px solid var(--line-1);
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border-radius: 8px;
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padding: 22px 24px;
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| 216 |
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overflow-x: auto;
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font-family: var(--font-mono);
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font-size: 12.5px;
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<header class="hero">
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<div class="mark-row">
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<img src="https://huggingface.co/spaces/Haakkim/README/resolve/main/haakkim-logo-only.png" alt="" />
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<span>HAAKKIM</span>
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</div>
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<h1 class="headline">حَكِّم</h1>
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<p class="romanization">ḥakkim: "to judge, to arbitrate"</p>
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<p class="lede">An open arena for evaluating Arabic language models by human preference, across eleven dialects, ranked with a Bradley-Terry model.</p>
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<p class="sub">People vote on pairs of model responses. Votes cast in Ranked Arena matches feed the public leaderboard.</p>
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<p class="links">Try the <a href="https://haakkim.tech">live arena</a>, check the <a href="https://haakkim.tech/#leaderboard">leaderboard</a>, or browse the <a href="https://huggingface.co/datasets/Haakkim/Haakkim-1.0v">dataset</a>.</p>
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<section>
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<h2>How evaluation works</h2>
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<dl class="modes">
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<div class="mode-row">
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<dt class="ranked">Ranked Arena</dt>
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<dd>Random model pairing, single-turn MSA, a matched system instruction. <strong>The only mode that feeds the leaderboard.</strong></dd>
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<div class="mode-row">
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<dt>Side-by-Side</dt>
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<dd>You choose both models yourself, in any dialect. Counted for win rate only, kept out of the ranking to avoid selection bias.</dd>
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<dt>10 Questions</dt>
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<dd>A fixed pool of Arabic prompts, any dialect, for consistent side-by-side comparison. Also win rate only.</dd>
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</div>
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</dl>
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</section>
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<h2>The Haakkim-1.0v dataset</h2>
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<table class="ledger">
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<tr><td>Battles</td><td>1,273 total (1,130 voted, 143 skipped)</td></tr>
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<tr><td>Ranked-eligible</td><td>831</td></tr>
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<tr><td>Models ranked</td><td>67</td></tr>
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<tr><td>Dialects</td><td>11</td></tr>
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<tr><td>License</td><td>CC BY 4.0</td></tr>
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<tr><td>Format</td><td>Parquet, PII-scrubbed</td></tr>
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</table>
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+
<p class="dataset-note">Full conversation transcripts, sampling weights, and category tags are included. <a href="https://huggingface.co/datasets/Haakkim/Haakkim-1.0v">View the dataset card on the Hub</a>.</p>
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</section>
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<section>
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<h2>Citation</h2>
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<p class="sub" style="margin-bottom: 18px;">If you use Haakkim or this dataset in your research, please cite the IEEE Access paper.</p>
|
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+
<pre class="cite"><span class="k">@ARTICLE</span>{<span class="v">11595788</span>,
|
| 313 |
+
<span class="k">author</span> = {Mars, Mourad and Barmandah, Hassan and Alassaf, Abdulrhman},
|
| 314 |
+
<span class="k">journal</span> = {IEEE Access},
|
| 315 |
+
<span class="k">title</span> = {Haakkim: An Arena-Style Platform for Human Preference Evaluation of LLMs in Arabic and Its Dialects},
|
| 316 |
+
<span class="k">year</span> = {2026},
|
| 317 |
+
<span class="k">volume</span> = {14},
|
| 318 |
+
<span class="k">pages</span> = {112112-112137},
|
| 319 |
+
<span class="k">keywords</span> = {Modeling; Ranking (statistics); Generative Pre-trained transformer; Large language models;
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| 320 |
Voting; Labeling; Estimation; Clamps; Probability; Computational linguistics;
|
| 321 |
Arabic LLMs; human preference; dialects; evaluation; leaderboard},
|
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+
<span class="k">doi</span> = {10.1109/ACCESS.2026.3710665}
|
| 323 |
}</pre>
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</section>
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<footer>
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<p class="foot-links">
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<a href="https://haakkim.tech">haakkim.tech</a><a href="https://haakkim.tech/#leaderboard">Leaderboard</a><a href="https://huggingface.co/datasets/Haakkim/Haakkim-1.0v">Dataset</a>
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| 329 |
</p>
|
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+
<p>College of Computing, Umm Al-Qura University, Mecca, Saudi Arabia</p>
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+
<p>Released under CC BY 4.0. Model responses remain subject to the terms of their respective providers.</p>
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</footer>
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