zeranklaunch/cross_lingual_heatmap.html at main · GazingInSpring/zeranklaunch · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Cross-Lingual Embedding Evaluation — Zele Zele v3</title>
<script src="https://cdn.plot.ly/plotly-2.35.2.min.js"></script>
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<div class="page">
<h1>Cross-Lingual Embedding Evaluation — Zele Zele v3</h1>
<p class="sub">NDCG@10 — query language (rows) × document language (columns). 15 languages, 15 datasets.</p>

<div class="controls">
    <div class="cg">
        <label>Model</label>
        <select id="selModel"></select>
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    <div class="cg">
        <label>Vertical</label>
        <select id="selVertical"></select>
    </div>
    <div class="cg">
        <label>Metric</label>
        <div class="mode-btns">
            <button class="mode-btn active" data-mode="absolute">NDCG@10</button>
            <button class="mode-btn" data-mode="relative">% of En→En</button>
        </div>
    </div>
</div>

<div id="chart"></div>
<div class="stats" id="stats"></div>
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const DATA = {"models": ["qwen-4b", "zembed-1", "voyage-4", "jina-v5-text-small", "zembed-1 minus voyage-4"], "vertical_labels": {"overall": "Overall (all datasets)", "bioasq": "Bioasq", "cosqa": "Cosqa", "financebench": "Financebench", "finqabench": "Finqabench", "fiqa": "Fiqa", "ineqs": "Ineqs", "mbpp": "Mbpp", "qmsum": "Qmsum", "stackoverflowqa": "Stackoverflowqa", "aila": "Aila", "consumercontracts": "Consumercontracts", "corporatelobbying": "Corporatelobbying", "lecardv2": "Lecardv2", "legalquad": "Legalquad", "legalsum": "Legalsum"}, "lang_labels": ["English", "Arabic", "Japanese", "Spanish", "French", "Chinese", "Finnish", "Italian", "Polish", "German", "Dutch", "Swedish", "Romanian", "Indonesian", "Portuguese"], "matrices": {"qwen-4b|bioasq": [[0.9564557416997336, 0.8903742074454117, 0.9353764030274554, 0.9396467833223484, 0.9394455266383829, 0.9355609885778149, 0.9245665557933425, 0.9384518466446824, 0.9157560353758495, 0.9332279297546866, 0.9316453205753219, 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-0.1490698165862553, -0.08953508856160985, -0.10054471963980993, -0.11227496073532028, -0.14145560611117497, -0.1483327826225571, -0.1279678544124343, -0.038247353058306566, -0.09682146318835771], [-0.1016262855975642, -0.06487300439292704, -0.05587813342187109, -0.08449582994490429, -0.10060249912985897, -0.08697441111703019, -0.07670422590587461, -0.08802645592913783, -0.09915587475318655, -0.10791372734952842, -0.10155073001685266, -0.09266436520995147, -0.09328367829880574, -0.0012709341747068614, -0.08328889772243575]], "zembed-1 minus voyage-4|overall": [[-0.0273698977053007, -0.03386596570413972, -0.027888027202684584, -0.029221654044135348, -0.02859124743452537, -0.02955930996510298, -0.05838434692152498, -0.026412281911911573, -0.037765204555947264, -0.025984785957908183, -0.026997143536279845, -0.03091687014838181, -0.03357893165302914, -0.021411968032196853, -0.027025255705776068], [-0.03229562795667299, -0.0390752322386525, -0.02268051710923181, -0.031101938473643786, -0.021145738028578595, -0.0357115055320753, -0.04896047419244494, -0.02438085752182982, -0.032660693063361876, -0.021353111754314962, -0.024562055061984354, -0.020698715491763178, -0.030706356463666436, -0.01766602294231997, -0.022845328657733362], [-0.01944584619685744, -0.02317452015623371, -0.016273895530665952, -0.01964158052804357, -0.014051083152719964, -0.021975476546351444, -0.04156736216471584, -0.016936291927665412, -0.024657118908312514, -0.017525039107205695, -0.012792893883982555, -0.013897488035145995, -0.02285333941684814, -0.015974381740487452, -0.020295444844214968], [-0.017551866631622382, -0.020751193442715102, -0.009586870702630453, -0.014258212178918072, -0.014317135346439632, -0.02951516626216262, -0.03411732610958393, -0.010321844262228881, -0.020399322683891198, -0.012824250314660116, -0.010050947179275438, -0.00839402710229048, -0.019218301453713605, -0.008796917319448339, -0.014732398882644897], [-0.027796661449466478, -0.03137637423268906, 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-0.025590056838271678, -0.022002977900106482, -0.021389435148179484, -0.017147180509628147, -0.0293758358441382, -0.04044476178183107, -0.020106373247300337, -0.02728051912563265, -0.019942591537382877, -0.022958900514694302, -0.01403981646289146, -0.021649304746896268, -0.015078441420612754, -0.02374931086368294], [-0.022268896165753616, -0.02273606768290708, -0.014236585964968965, -0.02297372898172623, -0.021128783838768872, -0.0305474936004031, -0.04007544975038675, -0.01632518124198663, -0.03654097801289564, -0.014197087214515536, -0.018216573029468597, -0.017718552829185035, -0.039052645316230566, -0.013482565066246193, -0.019821871693159684], [-0.03540901063417012, -0.02983651526369863, -0.03264526964321962, -0.031657237705684314, -0.026080939042149646, -0.04051270194015325, -0.04631332431062793, -0.027576852609816006, -0.039308993637503696, -0.029837115289351835, -0.03060896033678074, -0.029153954609918542, -0.03292026722452095, -0.02125948736712352, -0.030882232293127407], [-0.04936375755046105, -0.03247210091489624, -0.027212238595009035, -0.03468530886765264, -0.02638147883158064, -0.04073164080240853, -0.0477452784238139, -0.026477520460236714, -0.035368014698604504, -0.025497892907232655, -0.023320495221411556, -0.02170030996605012, -0.030631492249092153, -0.02333182078269486, -0.03236941611748612], [-0.048930550100317306, -0.0313822908330027, -0.022920034973042895, -0.03023523405480767, -0.02294626382626738, -0.04249294272673008, -0.04592546669429321, -0.038371896514176634, -0.0349276391081735, -0.0268114967860013, -0.023474883007648186, -0.034417981138668494, -0.04238146564647725, -0.039568820558364984, -0.02604983555475166], [-0.03328186423944132, -0.018475508557934416, -0.009403091766512828, -0.017721481170309066, -0.007671854216476873, -0.028273489381658436, -0.03896938681241071, -0.011038231127213102, -0.016918040861985714, -0.0071355949351641435, -0.012196720264608026, -0.0027114197560137256, -0.03015581150903005, -0.007156548481746835, -0.014654815452912359], [-0.017702631040859604, -0.013282903659110517, -0.007688951428842176, -0.016047805548758176, -0.011443760104934564, -0.02562808922385946, -0.03487077029863536, -0.010955315119543393, -0.019755646465579788, -0.011675501568527686, -0.01196609214609189, -0.009125581094740591, -0.020733333442572322, -0.004613804672533054, -0.014954544654503132], [-0.018869918745269203, -0.02618499752735708, -0.015888325109025034, -0.023112380664947196, -0.01713389944991802, -0.03160343767773433, -0.041339626049347815, -0.01929249772776103, -0.024781858793524306, -0.01732614179497934, -0.01873773244562748, -0.014371794059078255, -0.022505975829112856, -0.01292325768554078, -0.019165744368309857]]}, "ranges": {"overall": [0.25, 0.5], "bioasq": [0.472, 0.944], "cosqa": [0.0, 0.0], "financebench": [0.423, 0.846], "finqabench": [0.0, 0.0], "fiqa": [0.235, 0.47], "ineqs": [0.46, 0.92], "mbpp": [0.447, 0.895], "qmsum": [0.074, 0.148], "stackoverflowqa": [0.0, 0.0], "aila": [0.183, 0.365], "consumercontracts": [0.0, 0.0], "corporatelobbying": [0.0, 0.0], "lecardv2": [0.422, 0.845], "legalquad": [0.353, 0.706], "legalsum": [0.238, 0.475]}, "delta_ranges": {"overall": [-0.05, 0.05], "bioasq": [-0.08, 0.08], "cosqa": [-0.08, 0.08], "financebench": [-0.08, 0.08], "finqabench": [-0.08, 0.08], "fiqa": [-0.08, 0.08], "ineqs": [-0.08, 0.08], "mbpp": [-0.08, 0.08], "qmsum": [-0.08, 0.08], "stackoverflowqa": [-0.08, 0.08], "aila": [-0.08, 0.08], "consumercontracts": [-0.08, 0.08], "corporatelobbying": [-0.08, 0.08], "lecardv2": [-0.08, 0.08], "legalquad": [-0.08, 0.08], "legalsum": [-0.08, 0.08]}, "delta_model": "zembed-1 minus voyage-4"};
const L = DATA.lang_labels;
let curModel = DATA.models[0], curVert = "overall", curMode = "absolute";
const isDelta = () => curModel === DATA.delta_model;

const selM = document.getElementById("selModel");
const selV = document.getElementById("selVertical");
DATA.models.forEach(m => { const o = document.createElement("option"); o.value=m; o.textContent=m; selM.appendChild(o); });
Object.entries(DATA.vertical_labels).forEach(([k,v]) => { const o = document.createElement("option"); o.value=k; o.textContent=v; selV.appendChild(o); });
selM.addEventListener("change", () => { curModel=selM.value; render(); });
selV.addEventListener("change", () => { curVert=selV.value; render(); });
document.querySelectorAll(".mode-btn").forEach(b => b.addEventListener("click", () => {
    document.querySelectorAll(".mode-btn").forEach(x => x.classList.remove("active"));
    b.classList.add("active"); curMode=b.dataset.mode; render();
}));

function render() {
    const raw = DATA.matrices[curModel+"|"+curVert];
    if (!raw) return;
    const n = raw.length, enEn = raw[0][0];
    const isRel = curMode === "relative";

    let z, zmin, zmax, cs, fmt;

    if (isDelta() && isRel) {
        // Δ of the two models' %-of-en→en matrices
        const zeRaw = DATA.matrices["zembed-1|"+curVert];
        const v4Raw = DATA.matrices["voyage-4|"+curVert];
        if (!zeRaw || !v4Raw) return;
        const zeEnEn = zeRaw[0][0];
        const v4EnEn = v4Raw[0][0];
        z = zeRaw.map((r,i) => r.map((v,j) => {
            const zePct = zeEnEn > 0 ? v / zeEnEn * 100 : 0;
            const v4Pct = v4EnEn > 0 ? v4Raw[i][j] / v4EnEn * 100 : 0;
            return zePct - v4Pct;
        }));
        zmin = -15; zmax = 15;
        cs = [[0,"#b71c1c"],[0.25,"#e57373"],[0.45,"#ffcdd2"],[0.5,"#ffffff"],[0.55,"#c8e6c9"],[0.75,"#66bb6a"],[1,"#1b5e20"]];
        fmt = v => (v>=0?"+":"") + v.toFixed(1) + "pp";
    } else if (isDelta()) {
        z = raw;
        const dr = DATA.delta_ranges[curVert] || [-0.05, 0.05];
        zmin = dr[0]; zmax = dr[1];
        cs = [[0,"#b71c1c"],[0.25,"#e57373"],[0.45,"#ffcdd2"],[0.5,"#ffffff"],[0.55,"#c8e6c9"],[0.75,"#66bb6a"],[1,"#1b5e20"]];
        fmt = v => (v>=0?"+":"") + v.toFixed(4);
    } else if (isRel) {
        z = raw.map(r => r.map(v => enEn>0 ? v/enEn*100 : 0));
        zmin = 50; zmax = 105;
        cs = [[0,"#b71c1c"],[0.2,"#e53935"],[0.45,"#ef9a9a"],[0.6,"#fff9c4"],[0.8,"#a5d6a7"],[0.9,"#43a047"],[1,"#1b5e20"]];
        fmt = v => v.toFixed(1)+"%";
    } else {
        z = raw;
        const rng = DATA.ranges[curVert] || [0.25, 0.50];
        zmin = rng[0]; zmax = rng[1];
        cs = [[0,"#d32f2f"],[0.15,"#e57373"],[0.3,"#ffcdd2"],[0.5,"#ffffff"],[0.7,"#bbdefb"],[0.85,"#42a5f5"],[1,"#1565c0"]];
        fmt = v => v.toFixed(3);
    }

    const ann = [];
    for (let i=0;i<n;i++) for (let j=0;j<n;j++) {
        const v = z[i][j];
        const range = zmax - zmin;
        const norm = range > 0 ? (v - zmin) / range : 0.5;
        const tc = (norm < 0.3 || norm > 0.7) ? "white" : "black";
        ann.push({x:L[j],y:L[i],text:fmt(v),showarrow:false,font:{size:8,color:tc}});
    }

    const ht = z.map((r,i) => r.map((v,j) => {
        const s = L[i]+" → "+L[j]+"<br>";
        if (isDelta() && isRel) return s+"Δ retention: "+(v>=0?"+":"")+v.toFixed(1)+"pp<br>Raw Δ: "+(raw[i][j]>=0?"+":"")+raw[i][j].toFixed(4);
        if (isDelta()) return s+"Δ NDCG@10: "+(v>=0?"+":"")+v.toFixed(4);
        if (isRel) return s+v.toFixed(1)+"% of En→En<br>Raw: "+raw[i][j].toFixed(4);
        return s+"NDCG@10: "+v.toFixed(4);
    }));

    const flat = z.flat(), mean = flat.reduce((a,b)=>a+b,0)/flat.length;
    const diag = []; for(let i=0;i<n;i++) diag.push(z[i][i]);
    const dm = diag.reduce((a,b)=>a+b,0)/diag.length;

    let statsHtml;
    if (isDelta() && isRel) {
        const pos = flat.filter(v=>v>0).length;
        statsHtml = "Mean Δ: <b>"+(mean>=0?"+":"")+mean.toFixed(1)+"pp</b> | Diagonal Δ: <b>"+(dm>=0?"+":"")+dm.toFixed(1)+"pp</b> | zembed better retention: <b>"+pos+"/"+flat.length+"</b>";
    } else if (isDelta()) {
        const pos = flat.filter(v=>v>0).length;
        statsHtml = "Mean Δ: <b>"+(mean>=0?"+":"")+mean.toFixed(4)+"</b> | Diagonal Δ: <b>"+(dm>=0?"+":"")+dm.toFixed(4)+"</b> | En→En Δ: <b>"+(enEn>=0?"+":"")+enEn.toFixed(4)+"</b> | zembed wins: <b>"+pos+"/"+flat.length+"</b>";
    } else if (isRel) {
        statsHtml = "Mean: <b>"+mean.toFixed(1)+"%</b> | Diagonal: <b>"+dm.toFixed(1)+"%</b> | En→En: <b>"+enEn.toFixed(4)+"</b>";
    } else {
        statsHtml = "Mean: <b>"+mean.toFixed(4)+"</b> | Diagonal: <b>"+dm.toFixed(4)+"</b> | En→En: <b>"+enEn.toFixed(4)+"</b>";
    }
    document.getElementById("stats").innerHTML = statsHtml;

    let titleMetric;
    if (isDelta() && isRel) titleMetric = "Δ %-of-En→En retention (zembed-1 − voyage-4)";
    else if (isDelta()) titleMetric = "Δ NDCG@10 (zembed-1 − voyage-4)";
    else if (isRel) titleMetric = "% of En→En";
    else titleMetric = "NDCG@10";

    const colorbarTitle = isDelta() && isRel ? "Δ pp" : isDelta() ? "Δ NDCG@10" : isRel ? "% of En→En" : "NDCG@10";

    Plotly.react("chart",[{type:"heatmap",z:z,x:L,y:L,zmin:zmin,zmax:zmax,colorscale:cs,
        hoverinfo:"text",hovertext:ht,showscale:true,
        colorbar:{title:{text:colorbarTitle},len:0.85}}],
        {title:{text:curModel+" — "+(DATA.vertical_labels[curVert]||curVert)+" — "+titleMetric,font:{size:16,family:"Inter"}},
         xaxis:{title:"Document Language",tickfont:{size:10},tickangle:-45},
         yaxis:{title:"Query Language",tickfont:{size:10},autorange:"reversed"},
         annotations:ann,margin:{l:100,r:80,t:60,b:120},
         plot_bgcolor:"#fafafa",paper_bgcolor:"#fafafa",width:1150,height:720},
        {responsive:true});
}
render();
</script>
</body>
</html>