| <!DOCTYPE html> |
| <html lang="en"> |
| <head> |
| <meta charset="UTF-8" /> |
| <meta name="viewport" content="width=device-width, initial-scale=1.0" /> |
| <title>Haakkim — Arabic LLM Arena</title> |
| <style> |
| :root { |
| --bg: #0b0e14; |
| --surface: #131720; |
| --surface2: #1c2132; |
| --border: #252c42; |
| --brand: #4ade80; |
| --brand-dark: #16a34a; |
| --brand-glow: rgba(74,222,128,0.15); |
| --text: #e2e8f0; |
| --muted: #8492b0; |
| --radius: 14px; |
| } |
| |
| * { box-sizing: border-box; margin: 0; padding: 0; } |
| |
| body { |
| font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif; |
| background: var(--bg); |
| color: var(--text); |
| line-height: 1.65; |
| } |
| |
| |
| .hero { |
| background: linear-gradient(175deg, #081008 0%, #0a160c 50%, #0b0e14 100%); |
| border-bottom: 1px solid var(--border); |
| padding: 80px 24px 64px; |
| text-align: center; |
| position: relative; |
| overflow: hidden; |
| } |
| .hero::before { |
| content: ''; |
| position: absolute; |
| top: -80px; left: 50%; transform: translateX(-50%); |
| width: 600px; height: 400px; |
| background: radial-gradient(ellipse, rgba(74,222,128,0.18) 0%, transparent 70%); |
| pointer-events: none; |
| } |
| .hero::after { |
| content: ''; |
| position: absolute; |
| inset: 0; |
| background: repeating-linear-gradient( |
| 0deg, transparent, transparent 39px, |
| rgba(74,222,128,0.025) 40px |
| ); |
| pointer-events: none; |
| } |
| |
| .hero-logo-wrap { |
| position: relative; |
| z-index: 1; |
| margin-bottom: 24px; |
| } |
| .hero-logo { |
| height: 80px; |
| display: block; |
| margin: 0 auto; |
| object-fit: contain; |
| filter: drop-shadow(0 0 24px rgba(74,222,128,0.35)); |
| } |
| .hero-logo-fallback { |
| display: none; |
| flex-direction: column; |
| align-items: center; |
| gap: 4px; |
| } |
| .hero-logo-fallback .wordmark { |
| font-size: 3rem; |
| font-weight: 900; |
| letter-spacing: -0.03em; |
| color: var(--brand); |
| line-height: 1; |
| } |
| .hero-logo-fallback .ar { |
| font-size: 1.4rem; |
| color: rgba(74,222,128,0.6); |
| direction: rtl; |
| } |
| |
| .hero-tagline { |
| position: relative; |
| z-index: 1; |
| font-size: 1.05rem; |
| color: var(--muted); |
| max-width: 520px; |
| margin: 0 auto 36px; |
| } |
| |
| .hero-badges { |
| position: relative; |
| z-index: 1; |
| display: flex; |
| gap: 10px; |
| justify-content: center; |
| flex-wrap: wrap; |
| } |
| .badge { |
| display: inline-flex; |
| align-items: center; |
| gap: 7px; |
| padding: 9px 20px; |
| border-radius: 999px; |
| font-size: 0.88rem; |
| font-weight: 600; |
| text-decoration: none; |
| transition: transform 0.18s, box-shadow 0.18s; |
| } |
| .badge:hover { transform: translateY(-2px); } |
| .badge-primary { |
| background: #4ade80; |
| color: #071a0d; |
| box-shadow: 0 0 20px rgba(74,222,128,0.3); |
| } |
| .badge-primary:hover { background: #22c55e; box-shadow: 0 4px 30px rgba(74,222,128,0.5); } |
| .badge-outline { |
| background: rgba(255,255,255,0.04); |
| color: var(--text); |
| border: 1px solid var(--border); |
| } |
| .badge-outline:hover { border-color: var(--brand); color: var(--brand); } |
| .badge-dataset { |
| background: rgba(74,222,128,0.1); |
| color: var(--brand); |
| border: 1px solid rgba(74,222,128,0.25); |
| } |
| .badge-dataset:hover { background: rgba(74,222,128,0.18); } |
| |
| |
| .wrap { max-width: 1080px; margin: 0 auto; padding: 0 24px; } |
| |
| section { |
| padding: 64px 0; |
| border-bottom: 1px solid var(--border); |
| } |
| section:last-child { border-bottom: none; } |
| |
| .s-label { |
| font-size: 0.7rem; |
| font-weight: 700; |
| letter-spacing: 0.12em; |
| text-transform: uppercase; |
| color: var(--brand); |
| margin-bottom: 8px; |
| } |
| .s-title { |
| font-size: 1.6rem; |
| font-weight: 800; |
| color: var(--text); |
| margin-bottom: 6px; |
| letter-spacing: -0.02em; |
| } |
| .s-sub { |
| font-size: 0.9rem; |
| color: var(--muted); |
| margin-bottom: 36px; |
| max-width: 600px; |
| } |
| |
| |
| .mode-grid { |
| display: grid; |
| grid-template-columns: repeat(auto-fit, minmax(270px, 1fr)); |
| gap: 16px; |
| } |
| .mode-card { |
| background: var(--surface); |
| border: 1px solid var(--border); |
| border-radius: var(--radius); |
| padding: 28px 24px; |
| transition: border-color 0.2s, transform 0.2s, box-shadow 0.2s; |
| position: relative; |
| overflow: hidden; |
| } |
| .mode-card::before { |
| content: ''; |
| position: absolute; |
| top: 0; left: 0; right: 0; |
| height: 2px; |
| background: linear-gradient(90deg, transparent, var(--brand), transparent); |
| opacity: 0; |
| transition: opacity 0.2s; |
| } |
| .mode-card:hover { border-color: rgba(74,222,128,0.4); transform: translateY(-3px); box-shadow: 0 8px 32px rgba(0,0,0,0.3); } |
| .mode-card:hover::before { opacity: 1; } |
| .mode-icon { font-size: 1.6rem; margin-bottom: 14px; } |
| .mode-card h3 { font-size: 1rem; font-weight: 700; margin-bottom: 8px; } |
| .mode-card p { font-size: 0.85rem; color: var(--muted); margin-bottom: 16px; line-height: 1.6; } |
| .tag { |
| display: inline-flex; |
| align-items: center; |
| gap: 5px; |
| padding: 4px 12px; |
| border-radius: 999px; |
| font-size: 0.73rem; |
| font-weight: 700; |
| } |
| .tag-yes { background: rgba(74,222,128,0.12); color: var(--brand); border: 1px solid rgba(74,222,128,0.25); } |
| .tag-no { background: rgba(100,116,139,0.1); color: var(--muted); border: 1px solid var(--border); } |
| |
| |
| .ds-callout { |
| background: linear-gradient(135deg, rgba(74,222,128,0.07), rgba(74,222,128,0.02)); |
| border: 1px solid rgba(74,222,128,0.22); |
| border-radius: var(--radius); |
| padding: 32px 36px; |
| display: flex; |
| align-items: center; |
| gap: 28px; |
| flex-wrap: wrap; |
| } |
| .ds-icon { font-size: 2.8rem; flex-shrink: 0; } |
| .ds-body { flex: 1; min-width: 200px; } |
| .ds-body h3 { font-size: 1.05rem; font-weight: 700; margin-bottom: 5px; } |
| .ds-body p { font-size: 0.85rem; color: var(--muted); } |
| .ds-meta { |
| display: flex; |
| gap: 10px; |
| flex-wrap: wrap; |
| margin-top: 12px; |
| } |
| .ds-pill { |
| background: var(--surface2); |
| border: 1px solid var(--border); |
| border-radius: 999px; |
| padding: 3px 12px; |
| font-size: 0.75rem; |
| color: var(--muted); |
| } |
| |
| |
| .team-grid { |
| display: grid; |
| grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); |
| gap: 16px; |
| } |
| .team-card { |
| background: var(--surface); |
| border: 1px solid var(--border); |
| border-radius: var(--radius); |
| padding: 32px 24px 24px; |
| text-align: center; |
| transition: border-color 0.2s, transform 0.2s; |
| display: flex; |
| flex-direction: column; |
| align-items: center; |
| gap: 4px; |
| } |
| .team-card:hover { border-color: rgba(74,222,128,0.35); transform: translateY(-2px); } |
| |
| .avatar { |
| width: 64px; |
| height: 64px; |
| border-radius: 50%; |
| background: linear-gradient(135deg, #1a3a25, #0f2018); |
| border: 2px solid rgba(74,222,128,0.3); |
| display: flex; |
| align-items: center; |
| justify-content: center; |
| font-size: 1.1rem; |
| font-weight: 800; |
| color: var(--brand); |
| margin-bottom: 14px; |
| letter-spacing: 0.02em; |
| } |
| .team-name { font-size: 1rem; font-weight: 700; } |
| .team-role { |
| font-size: 0.7rem; |
| font-weight: 700; |
| letter-spacing: 0.1em; |
| text-transform: uppercase; |
| color: var(--brand); |
| margin-top: 2px; |
| } |
| .team-affil { font-size: 0.78rem; color: var(--muted); margin-top: 2px; margin-bottom: 14px; } |
| .team-email { |
| display: inline-flex; |
| align-items: center; |
| gap: 5px; |
| font-size: 0.76rem; |
| color: var(--muted); |
| text-decoration: none; |
| border: 1px solid var(--border); |
| border-radius: 999px; |
| padding: 5px 14px; |
| transition: border-color 0.15s, color 0.15s; |
| } |
| .team-email:hover { border-color: var(--brand); color: var(--brand); } |
| |
| |
| .cite-block { |
| background: #131720; |
| border: 1px solid #252c42; |
| border-radius: 14px; |
| padding: 24px 28px; |
| font-family: 'SFMono-Regular', 'Fira Code', Consolas, monospace; |
| font-size: 0.8rem; |
| line-height: 1.8; |
| color: #8492b0; |
| overflow-x: auto; |
| white-space: pre-wrap; |
| } |
| .cite-block .k { color: #c084fc; } |
| .cite-block .v { color: #86efac; } |
| .cite-block .p { color: #8492b0; } |
| |
| |
| footer { |
| padding: 32px 24px; |
| text-align: center; |
| font-size: 0.8rem; |
| color: var(--muted); |
| border-top: 1px solid var(--border); |
| } |
| footer a { color: var(--brand); text-decoration: none; } |
| footer a:hover { text-decoration: underline; } |
| |
| @media (max-width: 600px) { |
| .hero { padding: 56px 16px 48px; } |
| .ds-callout { padding: 22px 20px; } |
| } |
| </style> |
| </head> |
| <body> |
|
|
| |
| <div class="hero"> |
| <div class="hero-logo-wrap"> |
| <img |
| src="https://huggingface.co/spaces/Haakkim/README/resolve/main/haakkim-logo-withname.png" |
| alt="Haakkim" |
| class="hero-logo" |
| onerror="this.style.display='none'; document.querySelector('.hero-logo-fallback').style.display='flex';" |
| /> |
| <div class="hero-logo-fallback"> |
| <div class="wordmark">Haakkim</div> |
| <div class="ar">حَكِّم</div> |
| </div> |
| </div> |
|
|
| <p class="hero-tagline"> |
| An open arena-style human preference evaluation platform for Arabic large language models, |
| covering 11 dialect varieties and ranked by a statistically rigorous Bradley–Terry model. |
| </p> |
|
|
| <div class="hero-badges"> |
| <a href="https://haakkim.tech" class="badge badge-primary">🌐 Live Platform</a> |
| <a href="https://haakkim.tech/#leaderboard" class="badge badge-outline">🏆 Leaderboard</a> |
| <a href="https://huggingface.co/datasets/Haakkim/Haakkim-1.0v" class="badge badge-dataset">📦 Dataset v1.0</a> |
| </div> |
| </div> |
|
|
| <div class="wrap"> |
|
|
| |
| <section> |
| <div class="s-label">How It Works</div> |
| <div class="s-title">Evaluation Modes</div> |
| <div class="s-sub">Three ways to compare Arabic LLMs — only Ranked Arena feeds the official leaderboard.</div> |
| <div class="mode-grid"> |
| <div class="mode-card"> |
| <div class="mode-icon">⚔️</div> |
| <h3>Ranked Arena</h3> |
| <p>Random model pairing, single-turn MSA, matched system instruction. The only mode that feeds the official Bradley–Terry leaderboard.</p> |
| <span class="tag tag-yes">✓ BT Leaderboard</span> |
| </div> |
| <div class="mode-card"> |
| <div class="mode-icon">↔️</div> |
| <h3>Side-by-Side</h3> |
| <p>User-selected model pair, any dialect. Useful for targeted comparisons — excluded from ranked scoring to prevent selection bias.</p> |
| <span class="tag tag-no">Win-rate only</span> |
| </div> |
| <div class="mode-card"> |
| <div class="mode-icon">❓</div> |
| <h3>10 Questions</h3> |
| <p>Fixed Arabic prompt pool, any dialect. Provides consistent benchmarking within a curated question set.</p> |
| <span class="tag tag-no">Win-rate only</span> |
| </div> |
| </div> |
| </section> |
|
|
| |
| <section> |
| <div class="s-label">Open Data</div> |
| <div class="s-title">Battle Dataset</div> |
| <div class="s-sub">First public release of Haakkim battle data — fully open, PII-scrubbed, ready to use.</div> |
| <div class="ds-callout"> |
| <div class="ds-icon">📦</div> |
| <div class="ds-body"> |
| <h3>Haakkim / Haakkim-1.0v</h3> |
| <p> |
| Battle records covering all 11 dialect varieties and all 3 evaluation modes. |
| Includes full conversation transcripts, sampling weights, and category annotations. |
| </p> |
| <div class="ds-meta"> |
| <span class="ds-pill">1,273 battles</span> |
| <span class="ds-pill">67 models</span> |
| <span class="ds-pill">11 dialects</span> |
| <span class="ds-pill">CC BY 4.0</span> |
| <span class="ds-pill">Parquet · PII-scrubbed</span> |
| </div> |
| </div> |
| <a href="https://huggingface.co/datasets/Haakkim/Haakkim-1.0v" class="badge badge-dataset" style="white-space:nowrap;">View Dataset →</a> |
| </div> |
| </section> |
|
|
| |
| <section> |
| <div class="s-label">People</div> |
| <div class="s-title">Team</div> |
| <div class="s-sub">College of Computing, Umm Al-Qura University — Mecca, Saudi Arabia</div> |
| <div class="team-grid"> |
|
|
| <div class="team-card"> |
| <div class="avatar">MM</div> |
| <div class="team-name">Dr. Mourad Mars</div> |
| <div class="team-role">Principal Investigator</div> |
| <div class="team-affil">Umm Al-Qura University</div> |
| <a href="mailto:msmars@uqu.edu.sa" class="team-email">✉ msmars@uqu.edu.sa</a> |
| </div> |
|
|
| <div class="team-card"> |
| <div class="avatar">HB</div> |
| <div class="team-name">Hassan Barmandah</div> |
| <div class="team-role">AI Researcher</div> |
| <div class="team-affil">Umm Al-Qura University</div> |
| <a href="mailto:hassanhbarmandah@gmail.com" class="team-email">✉ hassanhbarmandah@gmail.com</a> |
| </div> |
|
|
| <div class="team-card"> |
| <div class="avatar">AA</div> |
| <div class="team-name">Abdulrhman Alassaf</div> |
| <div class="team-role">Software Engineer</div> |
| <div class="team-affil">Umm Al-Qura University</div> |
| <a href="mailto:aaalassaf@outlook.com" class="team-email">✉ aaalassaf@outlook.com</a> |
| </div> |
|
|
| </div> |
| </section> |
|
|
| |
| <section> |
| <div class="s-label">Research</div> |
| <div class="s-title">Citation</div> |
| <div class="s-sub">If you use Haakkim or this dataset in your research, please cite:</div> |
| <div class="cite-block"><span class="k">@misc</span><span class="p">{</span>mars2026haakkim<span class="p">,</span> |
| <span class="k">title</span> <span class="p">=</span> <span class="v">{Haakkim: An Arena-Style Human Preference Evaluation Platform for Arabic {LLMs}}</span><span class="p">,</span> |
| <span class="k">author</span> <span class="p">=</span> <span class="v">{Mars, Mourad and Barmandah, Hassan and Alassaf, Abdulrhman}</span><span class="p">,</span> |
| <span class="k">year</span> <span class="p">=</span> <span class="v">{2026}</span><span class="p">,</span> |
| <span class="k">howpublished</span> <span class="p">=</span> <span class="v">{\url{https://huggingface.co/datasets/Haakkim/Haakkim-1.0v}}</span><span class="p">,</span> |
| <span class="k">note</span> <span class="p">=</span> <span class="v">{College of Computing, Umm Al-Qura University, Mecca, Saudi Arabia}</span> |
| <span class="p">}</span></div> |
| </section> |
|
|
| </div> |
|
|
| <footer> |
| <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> |
| <br><br> |
| College of Computing, Umm Al-Qura University · Mecca, Saudi Arabia · CC BY 4.0 |
| </footer> |
|
|
| </body> |
| </html> |
|
|
