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Update index.html
Browse files- index.html +56 -53
index.html
CHANGED
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@@ -63,8 +63,8 @@ h1{font-size:clamp(20px,3vw,38px);font-weight:800;line-height:1.1;letter-spacing
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.tab{padding:10px 20px;font-size:10.5px;font-family:var(--mono);font-weight:600;color:var(--text-muted);cursor:pointer;border-bottom:2px solid transparent;transition:var(--tr);user-select:none;white-space:nowrap;letter-spacing:.3px;flex-shrink:0;}
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.tab:hover{color:var(--text);background:var(--ac-bg);}
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.tab.on{color:var(--ac);border-bottom-color:var(--ac);background:var(--ac-bg);}
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.tpane{
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/* TABLE */
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.tw{background:var(--surface);border:1px solid var(--border);border-radius:var(--radius);overflow-x:auto;box-shadow:var(--shadow);}
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@@ -169,6 +169,23 @@ body.dark thead{background:var(--surface-alt)!important;}
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.grid2,.grid3{grid-template-columns:1fr!important;}
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th.c-model,td.c-model{position:static!important;}
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}
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</style>
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</head>
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<body>
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@@ -221,16 +238,25 @@ body.dark thead{background:var(--surface-alt)!important;}
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</div>
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<!-- ===== TABS ===== -->
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</div>
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<!-- ===== TAB: LEADERBOARD ===== -->
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<div id="lb" class="tpane
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<div class="tw">
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<table>
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<thead>
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@@ -271,7 +297,6 @@ body.dark thead{background:var(--surface-alt)!important;}
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</div>
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</div>
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<!-- ββ Charts ββ -->
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<div style="margin-top:20px;">
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<div style="display:grid;grid-template-columns:1fr 1fr;gap:14px;margin-bottom:14px;">
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<div style="background:var(--surface);border:1px solid var(--border);border-radius:var(--radius);padding:18px;box-shadow:var(--shadow-sm);">
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@@ -306,8 +331,7 @@ body.dark thead{background:var(--surface-alt)!important;}
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</div>
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</div>
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<
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<div id="cats" class="tpane">
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<!-- P1 Header -->
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<div style="display:flex;align-items:center;gap:10px;margin-bottom:12px;padding:14px 16px;background:rgba(123,143,212,.06);border:1px solid rgba(123,143,212,.2);border-radius:var(--radius-sm);">
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@@ -553,7 +577,7 @@ body.dark thead{background:var(--surface-alt)!important;}
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</div>
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<!-- ===== TAB: STRUCTURE ===== -->
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<div id="structure" class="tpane">
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<div class="grid2" style="margin-bottom:14px">
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<div class="card">
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<h3>Input / Output Format</h3>
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@@ -660,7 +684,7 @@ body.dark thead{background:var(--surface-alt)!important;}
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</div>
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<!-- ===== TAB: SUBMIT ===== -->
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<div id="submit" class="tpane">
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<div class="grid2" style="margin-bottom:14px">
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<div class="card">
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<h3>π€ Track A β Text Only</h3>
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@@ -723,7 +747,7 @@ body.dark thead{background:var(--surface-alt)!important;}
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<!-- ===== TAB: ABOUT ===== -->
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<div id="about" class="tpane">
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<div style="display:grid;grid-template-columns:repeat(auto-fill,minmax(260px,1fr));gap:10px">
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<div class="card">
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<h3>π₯ What is WM Bench?</h3>
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@@ -764,7 +788,7 @@ body.dark thead{background:var(--surface-alt)!important;}
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</div>
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</div>
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<
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<!-- ===== DATA & LOGIC ===== -->
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<script>
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@@ -821,16 +845,16 @@ body.dark thead{background:var(--surface-alt)!important;}
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cats:{C01:null,C02:null,C03:null,C04:null,C05:null,C06:null,C07:null,C08:null,C09:null,C10:null}}
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];
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var CAT_DATA = [
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{id:"C01",name:"
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{id:"C02",name:"
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{id:"C03",name:"
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{id:"C04",name:"
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{id:"C05",name:"
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{id:"C06",name:"
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{id:"C07",name:"
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{id:"C08",name:"
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{id:"C09",name:"
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{id:"C10",name:"
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];
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var PC = {P1:"#7b8fd4",P2:"#e8593c",P3:"#d4a044"};
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@@ -922,7 +946,7 @@ body.dark thead{background:var(--surface-alt)!important;}
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datasets:[{label:'WM Score',data:sorted.map(function(r){return r.wm;}),
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backgroundColor:sorted.map(function(r){return (MC[r.model]||'#888')+'bb';}),
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borderColor:sorted.map(function(r){return MC[r.model]||'#888';}),borderWidth:1.5,borderRadius:6,borderSkipped:false}]},
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options:{indexAxis:'y',plugins:{legend:{display:false},tooltip:{callbacks:{label:function(c){var r=sorted[c.dataIndex];return ' WM: '+r.wm+'/1000 Grade: '+r.grade+(r.est?' (est.)':' β Official');} }}},
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scales:{x:{min:0,max:1000,grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}},y:{grid:{display:false},ticks:{color:tickC,font:{family:'JetBrains Mono',size:8.5}}}}}
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});
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@@ -934,7 +958,7 @@ body.dark thead{background:var(--surface-alt)!important;}
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data:[Math.round(r.p1/250*100),Math.round(r.p2/450*100),Math.round(r.p3/300*100)],
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borderColor:MC[r.model]||'#888',backgroundColor:(MC[r.model]||'#888')+'1a',
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borderWidth:r.est?1.5:2.5,pointRadius:r.est?2:4,pointBackgroundColor:MC[r.model]||'#888',borderDash:r.est?[4,3]:[]}; })},
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options:{plugins:{legend:{labels:{color:tickC,font:{family:'JetBrains Mono',size:8},boxWidth:10,padding:6}}},
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scales:{r:{grid:{color:gridC},angleLines:{color:gridC},ticks:{display:false,backdropColor:'transparent'},pointLabels:{color:tickC,font:{family:'JetBrains Mono',size:10}},suggestedMin:0,suggestedMax:100}}}
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});
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data:{labels:catL,datasets:sorted.map(function(r){return {label:shorten(r.model),
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data:catK.map(function(k){return r.cats[k];}),
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backgroundColor:(MC[r.model]||'#888')+'99',borderColor:MC[r.model]||'#888',borderWidth:1,borderRadius:2}; })},
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options:{plugins:{legend:{labels:{color:tickC,font:{family:'JetBrains Mono',size:7.5},boxWidth:8,padding:5}},
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tooltip:{callbacks:{label:function(c){return ' '+sorted[c.datasetIndex].model+': '+c.raw+' / 100';}}}},
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scales:{y:{min:0,max:100,grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}},x:{grid:{display:false},ticks:{color:tickC,font:{family:'JetBrains Mono',size:8},maxRotation:0}}}}
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});
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datasets:[{label:'P2 Cognition',data:cogS.map(function(r){return r.p2;}),
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backgroundColor:cogS.map(function(r){return (MC[r.model]||'#888')+'cc';}),
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borderColor:cogS.map(function(r){return MC[r.model]||'#888';}),borderWidth:1.5,borderRadius:5,borderSkipped:false}]},
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options:{plugins:{legend:{display:false},tooltip:{callbacks:{label:function(c){return ' P2 Cognition: '+cogS[c.dataIndex].p2+' / 450 pts';}}}},
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scales:{y:{min:0,max:450,grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}},x:{grid:{display:false},ticks:{color:tickC,font:{family:'JetBrains Mono',size:8},maxRotation:30}}}}
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});
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data:[{x:Math.round(r.p1/250*100),y:Math.round(r.p2/450*100)}],
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backgroundColor:(MC[r.model]||'#888')+'cc',borderColor:MC[r.model]||'#888',
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pointRadius:r.est?7:10,pointStyle:r.est?'circle':'star',borderWidth:1.5}; })},
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options:{plugins:{legend:{labels:{color:tickC,font:{family:'JetBrains Mono',size:7.5},boxWidth:8,padding:5}},
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tooltip:{callbacks:{label:function(c){return c.dataset.label+' β Perception: '+c.parsed.x+'% Cognition: '+c.parsed.y+'%';}}}},
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scales:{x:{min:0,max:100,title:{display:true,text:'Perception (%)',color:tickC,font:{family:'JetBrains Mono',size:9}},grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}},
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y:{min:0,max:100,title:{display:true,text:'Cognition (%)',color:tickC,font:{family:'JetBrains Mono',size:9}},grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}}}}
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@@ -1015,27 +1039,6 @@ body.dark thead{background:var(--surface-alt)!important;}
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})();
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</script>
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function wmTab(id){
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var ids=['lb','cats','structure','submit','about'];
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for(var i=0;i<ids.length;i++){
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var p=document.getElementById(ids[i]);
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if(p) p.style.display=(ids[i]===id)?'block':'none';
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}
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var tabs=document.querySelectorAll('#WM_TAB_BAR .tab');
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for(var j=0;j<tabs.length;j++){
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tabs[j].classList.remove('on');
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if(tabs[j].getAttribute('onclick')==="wmTab('"+id+"')") tabs[j].classList.add('on');
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}
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}
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// μ΄κΈ°ν
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(function(){
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var ids=['lb','cats','structure','submit','about'];
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for(var i=0;i<ids.length;i++){
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var p=document.getElementById(ids[i]);
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if(p) p.style.display=(ids[i]==='lb')?'block':'none';
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}
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})();
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</script>
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</body>
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</html>
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.tab{padding:10px 20px;font-size:10.5px;font-family:var(--mono);font-weight:600;color:var(--text-muted);cursor:pointer;border-bottom:2px solid transparent;transition:var(--tr);user-select:none;white-space:nowrap;letter-spacing:.3px;flex-shrink:0;}
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.tab:hover{color:var(--text);background:var(--ac-bg);}
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.tab.on{color:var(--ac);border-bottom-color:var(--ac);background:var(--ac-bg);}
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.tpane{padding-top:14px;}.wm-p1,.wm-p2,.wm-p3,.wm-p4,.wm-p5{display:none;}
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/* TABLE */
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.tw{background:var(--surface);border:1px solid var(--border);border-radius:var(--radius);overflow-x:auto;box-shadow:var(--shadow);}
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.grid2,.grid3{grid-template-columns:1fr!important;}
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th.c-model,td.c-model{position:static!important;}
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}
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<style>
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.wm-radio{display:none;}
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.wm-label{padding:10px 18px;font-size:10.5px;font-family:var(--mono);font-weight:600;color:var(--text-muted);cursor:pointer;border-bottom:2px solid transparent;transition:var(--tr);user-select:none;white-space:nowrap;letter-spacing:.3px;flex-shrink:0;display:inline-block;}
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.wm-label:hover{color:var(--text);background:var(--ac-bg);}
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.wm-p1,.wm-p2,.wm-p3,.wm-p4,.wm-p5{display:none;}
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#wm-r1:checked ~ .wm-p1,
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#wm-r2:checked ~ .wm-p2,
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#wm-r3:checked ~ .wm-p3,
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#wm-r4:checked ~ .wm-p4,
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#wm-r5:checked ~ .wm-p5{display:block;}
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#wm-r1:checked ~ .wm-bar label[for=wm-r1],
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#wm-r2:checked ~ .wm-bar label[for=wm-r2],
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#wm-r3:checked ~ .wm-bar label[for=wm-r3],
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#wm-r4:checked ~ .wm-bar label[for=wm-r4],
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#wm-r5:checked ~ .wm-bar label[for=wm-r5]{color:var(--ac);border-bottom-color:var(--ac);background:var(--ac-bg);}
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</style>
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</style>
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</head>
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<body>
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</div>
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<!-- ===== TABS ===== -->
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<input class="wm-radio" type="radio" id="wm-r1" name="wm-tab" checked>
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<input class="wm-radio" type="radio" id="wm-r2" name="wm-tab">
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<input class="wm-radio" type="radio" id="wm-r3" name="wm-tab">
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<input class="wm-radio" type="radio" id="wm-r4" name="wm-tab">
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<input class="wm-radio" type="radio" id="wm-r5" name="wm-tab">
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<div class="tab-bar wm-bar" id="WM_TAB_BAR">
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<label class="wm-label" for="wm-r1">π Leaderboard</label>
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<label class="wm-label" for="wm-r2">π Categories</label>
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<label class="wm-label" for="wm-r3">π Structure</label>
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<label class="wm-label" for="wm-r4">π Submit</label>
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<label class="wm-label" for="wm-r5">βΉοΈ About</label>
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</div>
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<!-- ===== TAB: LEADERBOARD ===== -->
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<div id="lb" class="tpane wm-p1">
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<div class="tw">
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<table>
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<thead>
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</div>
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</div>
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<div style="margin-top:20px;">
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<div style="display:grid;grid-template-columns:1fr 1fr;gap:14px;margin-bottom:14px;">
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<div style="background:var(--surface);border:1px solid var(--border);border-radius:var(--radius);padding:18px;box-shadow:var(--shadow-sm);">
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</div>
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</div>
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<div id="cats" class="tpane wm-p2">
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<!-- P1 Header -->
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<div style="display:flex;align-items:center;gap:10px;margin-bottom:12px;padding:14px 16px;background:rgba(123,143,212,.06);border:1px solid rgba(123,143,212,.2);border-radius:var(--radius-sm);">
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</div>
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<!-- ===== TAB: STRUCTURE ===== -->
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<div id="structure" class="tpane wm-p3">
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<div class="grid2" style="margin-bottom:14px">
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<div class="card">
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<h3>Input / Output Format</h3>
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</div>
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<!-- ===== TAB: SUBMIT ===== -->
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<div id="submit" class="tpane wm-p4">
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<div class="grid2" style="margin-bottom:14px">
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<div class="card">
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<h3>π€ Track A β Text Only</h3>
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<!-- ===== TAB: ABOUT ===== -->
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<div id="about" class="tpane wm-p5">
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<div style="display:grid;grid-template-columns:repeat(auto-fill,minmax(260px,1fr));gap:10px">
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<div class="card">
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<h3>π₯ What is WM Bench?</h3>
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</div>
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</div>
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<!-- /wrap -->
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<!-- ===== DATA & LOGIC ===== -->
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<script>
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cats:{C01:null,C02:null,C03:null,C04:null,C05:null,C06:null,C07:null,C08:null,C09:null,C10:null}}
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];
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var CAT_DATA = [
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{id:"C01",name:"Environmental Awareness",pillar:"P1",max:100,score:65,first:"",type:"existing",ref:"Occupancy Grid eval.",desc:"Identifies walls, obstacles and terrain in all directions"},
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{id:"C02",name:"Entity Recognition",pillar:"P1",max:100,score:75,first:"",type:"existing",ref:"BABEL action recog.",desc:"Classifies NPC as beast/human and maps to threat level"},
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{id:"C03",name:"Prediction-Based Reasoning",pillar:"P2",max:100,score:85,first:"β¦",type:"new",ref:"",desc:"Predicts 4-directional danger and selects optimal action"},
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{id:"C04",name:"Threat-Type Differentiation",pillar:"P2",max:100,score:90,first:"β¦",type:"new",ref:"",desc:"Beast: full sprint. Human: cautious dodge"},
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{id:"C05",name:"Autonomous Emotion Escalation",pillar:"P2",max:100,score:85,first:"β¦β¦",type:"new",ref:"",desc:"Emotion escalates autonomously as threat persists"},
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{id:"C06",name:"Contextual Memory Utilization",pillar:"P2",max:100,score:60,first:"β¦",type:"new",ref:"",desc:"Past decisions incorporated into current judgment"},
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{id:"C07",name:"Post-Threat Adaptive Recovery",pillar:"P2",max:100,score:70,first:"β¦",type:"new",ref:"",desc:"Gradually de-escalates after threat disappears"},
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+
{id:"C08",name:"Motion-Emotion Expression",pillar:"P3",max:100,score:80,first:"β¦",type:"new",ref:"",desc:"Emotional state expressed richly through motion"},
|
| 856 |
+
{id:"C09",name:"Real-Time Cognitive Performance",pillar:"P3",max:100,score:85,first:"",type:"existing",ref:"FVD / latency",desc:"Inference latency and FPS under cognitive load"},
|
| 857 |
+
{id:"C10",name:"Body-Swap Extensibility",pillar:"P3",max:100,score:35,first:"β¦β¦",type:"new",ref:"",desc:"Same brain drives different body types without retraining"}
|
| 858 |
];
|
| 859 |
var PC = {P1:"#7b8fd4",P2:"#e8593c",P3:"#d4a044"};
|
| 860 |
|
|
|
|
| 946 |
datasets:[{label:'WM Score',data:sorted.map(function(r){return r.wm;}),
|
| 947 |
backgroundColor:sorted.map(function(r){return (MC[r.model]||'#888')+'bb';}),
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| 948 |
borderColor:sorted.map(function(r){return MC[r.model]||'#888';}),borderWidth:1.5,borderRadius:6,borderSkipped:false}]},
|
| 949 |
+
options:{responsive:false,indexAxis:'y',plugins:{legend:{display:false},tooltip:{callbacks:{label:function(c){var r=sorted[c.dataIndex];return ' WM: '+r.wm+'/1000 Grade: '+r.grade+(r.est?' (est.)':' β Official');} }}},
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| 950 |
scales:{x:{min:0,max:1000,grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}},y:{grid:{display:false},ticks:{color:tickC,font:{family:'JetBrains Mono',size:8.5}}}}}
|
| 951 |
});
|
| 952 |
|
|
|
|
| 958 |
data:[Math.round(r.p1/250*100),Math.round(r.p2/450*100),Math.round(r.p3/300*100)],
|
| 959 |
borderColor:MC[r.model]||'#888',backgroundColor:(MC[r.model]||'#888')+'1a',
|
| 960 |
borderWidth:r.est?1.5:2.5,pointRadius:r.est?2:4,pointBackgroundColor:MC[r.model]||'#888',borderDash:r.est?[4,3]:[]}; })},
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| 961 |
+
options:{responsive:false,plugins:{legend:{labels:{color:tickC,font:{family:'JetBrains Mono',size:8},boxWidth:10,padding:6}}},
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| 962 |
scales:{r:{grid:{color:gridC},angleLines:{color:gridC},ticks:{display:false,backdropColor:'transparent'},pointLabels:{color:tickC,font:{family:'JetBrains Mono',size:10}},suggestedMin:0,suggestedMax:100}}}
|
| 963 |
});
|
| 964 |
|
|
|
|
| 969 |
data:{labels:catL,datasets:sorted.map(function(r){return {label:shorten(r.model),
|
| 970 |
data:catK.map(function(k){return r.cats[k];}),
|
| 971 |
backgroundColor:(MC[r.model]||'#888')+'99',borderColor:MC[r.model]||'#888',borderWidth:1,borderRadius:2}; })},
|
| 972 |
+
options:{responsive:false,plugins:{legend:{labels:{color:tickC,font:{family:'JetBrains Mono',size:7.5},boxWidth:8,padding:5}},
|
| 973 |
tooltip:{callbacks:{label:function(c){return ' '+sorted[c.datasetIndex].model+': '+c.raw+' / 100';}}}},
|
| 974 |
scales:{y:{min:0,max:100,grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}},x:{grid:{display:false},ticks:{color:tickC,font:{family:'JetBrains Mono',size:8},maxRotation:0}}}}
|
| 975 |
});
|
|
|
|
| 981 |
datasets:[{label:'P2 Cognition',data:cogS.map(function(r){return r.p2;}),
|
| 982 |
backgroundColor:cogS.map(function(r){return (MC[r.model]||'#888')+'cc';}),
|
| 983 |
borderColor:cogS.map(function(r){return MC[r.model]||'#888';}),borderWidth:1.5,borderRadius:5,borderSkipped:false}]},
|
| 984 |
+
options:{responsive:false,plugins:{legend:{display:false},tooltip:{callbacks:{label:function(c){return ' P2 Cognition: '+cogS[c.dataIndex].p2+' / 450 pts';}}}},
|
| 985 |
scales:{y:{min:0,max:450,grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}},x:{grid:{display:false},ticks:{color:tickC,font:{family:'JetBrains Mono',size:8},maxRotation:30}}}}
|
| 986 |
});
|
| 987 |
|
|
|
|
| 991 |
data:[{x:Math.round(r.p1/250*100),y:Math.round(r.p2/450*100)}],
|
| 992 |
backgroundColor:(MC[r.model]||'#888')+'cc',borderColor:MC[r.model]||'#888',
|
| 993 |
pointRadius:r.est?7:10,pointStyle:r.est?'circle':'star',borderWidth:1.5}; })},
|
| 994 |
+
options:{responsive:false,plugins:{legend:{labels:{color:tickC,font:{family:'JetBrains Mono',size:7.5},boxWidth:8,padding:5}},
|
| 995 |
tooltip:{callbacks:{label:function(c){return c.dataset.label+' β Perception: '+c.parsed.x+'% Cognition: '+c.parsed.y+'%';}}}},
|
| 996 |
scales:{x:{min:0,max:100,title:{display:true,text:'Perception (%)',color:tickC,font:{family:'JetBrains Mono',size:9}},grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}},
|
| 997 |
y:{min:0,max:100,title:{display:true,text:'Cognition (%)',color:tickC,font:{family:'JetBrains Mono',size:9}},grid:{color:gridC},ticks:{color:tickC,font:{family:'JetBrains Mono',size:9}}}}}
|
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|
| 1039 |
})();
|
| 1040 |
</script>
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+
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| 1043 |
</body>
|
| 1044 |
</html>
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