replaced static baselines plot with dynamic d3 plot

app/src/content/assets/data/baselines.csv

@@ -0,0 +1,161 @@
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+ultra-fineweb,42,2000,0.07546371228380307,0.06015130962556387,0.11225109179195777,0.09721463009897795,0.06337292034685842,0.01222206634884105,0.04759526616850681,0.19327173569477193,0.08352509509640545,0.13877559128538006,0.012068521883771466,0.007763720915936953,0.07735259814866487,0.15276141374336485,0.06875195388711437,0.037720721115314944,0.09721463009897795,0.11115034319089276,0.022527017811094938,0.08168767997445998
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+ultra-fineweb,42,3000,0.0851273551162458,0.07740023988369131,0.11408938250453592,0.0991858307239858,0.06917473048162726,0.012055766301215586,0.0528341864852987,0.2388807477057804,0.09596432582149779,0.14708410582287793,0.016008658026643047,0.011817146677595645,0.08703314096020023,0.17648506510515816,0.08221669042194577,0.04259169425413515,0.0991858307239858,0.12152421582218786,0.02556903315470331,0.09126208824701933
+ultra-fineweb,42,3500,0.08635671945232641,0.09157514411466376,0.11708406666874038,0.09962418046017905,0.07144583458030991,0.015485691039876166,0.05000560195693349,0.22696128990585693,0.09588408852415505,0.14105616173532787,0.021907329119994615,0.012962576327950184,0.09228866899392943,0.17202267828729867,0.09193190655429659,0.04667658185015226,0.09962418046017905,0.11847012512974145,0.026151289774919945,0.09247946034276468
+ultra-fineweb,42,4000,0.09377167295925837,0.10460513190292692,0.12056566118722999,0.10074004374118814,0.07393179590711381,0.01674165918411517,0.05340516873357853,0.2701073922858329,0.10429250068156189,0.14719646359303573,0.024187311301547245,0.012127381699686609,0.09735956529328343,0.19533652673653146,0.10098234859810518,0.04905955360433053,0.10074004374118814,0.1257444821372988,0.027424736539126766,0.09988128189276348
+ultra-fineweb,42,4500,0.09856524694780001,0.10843400310865817,0.11015337596993174,0.1000051068243169,0.07608048579888728,0.017570993723706307,0.053467180678313395,0.3202573105858621,0.10401621497170753,0.15159097306886257,0.022715626903458335,0.019523196451370812,0.09896849528852497,0.21520534327789692,0.10370124919859157,0.04939805635117281,0.1000051068243169,0.12780359402028504,0.030187123617796838,0.10438341221501002
+ultra-fineweb,42,5000,0.09731575505223039,0.11737985203589443,0.1181150075492127,0.10059846477348922,0.07649442955961878,0.018204527823922078,0.05816049564882885,0.28363791343355294,0.11029425106149607,0.14648108615442657,0.026079195626196067,0.013986909172195961,0.09835692778793105,0.2008764604913828,0.10786838991191275,0.051286812592907426,0.10059846477348922,0.1283876686079613,0.03011731088164896,0.10318918454321707
+ultra-fineweb,42,5500,0.10571244591350192,0.1327494275837231,0.136575445672472,0.09891918392069957,0.07813711626417082,0.02127886468837319,0.05861464027929801,0.31493171317266844,0.11642026531766984,0.15400308011574118,0.028404792954428815,0.02041839703432007,0.1080964239584577,0.22575357942257024,0.1204229257710904,0.053270954609299814,0.09891918392069957,0.1352116727167055,0.03343730066733042,0.11116926951794932
+ultra-fineweb,42,6000,0.10695744331530181,0.1301831083794841,0.13003008477511427,0.10171477780840396,0.07990664747852312,0.0200391544376133,0.06285705589982095,0.3272291774408206,0.11669308090936252,0.16167119696461152,0.029049493926484753,0.017528685980062166,0.10658685578332056,0.2286296311079674,0.11838498208140233,0.05447807070250393,0.10171477780840396,0.13918213893698703,0.03347496543916547,0.1126440943460717
+ultra-fineweb,42,6500,0.10532615003601636,0.12815398146508977,0.1263876387556589,0.10263900404187734,0.0803902386380121,0.020675192788869708,0.05931170791175653,0.3198857602622739,0.11394787636760972,0.1631248465300729,0.031020484870734038,0.01404158526663495,0.10433548353360637,0.2231366995089664,0.11624473249934808,0.05570536175437307,0.10263900404187734,0.1385363614488413,0.031342828655753725,0.11126749798486
+ultra-fineweb,42,7000,0.11157434204259264,0.1276840596212306,0.1529673773259822,0.10273795767305964,0.08197786169933959,0.021107631420170078,0.06357479522672736,0.34965431738474,0.11673618248501176,0.15808790445601978,0.034596608329133346,0.017768366279060293,0.11199904261063715,0.25131084735536113,0.11984155111593388,0.058287235014236466,0.10273795767305964,0.13741204347051578,0.03415026430865258,0.11728998315629323
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app/src/content/chapters/experiments.mdx

@@ -1,6 +1,6 @@
 import Image from "../../components/Image.astro";
+import HtmlEmbed from "../../components/HtmlEmbed.astro";
 import newplot_2f81384e_bcac_804d_b760_e8611cc0302b from "../assets/image/newplot_2f81384e-bcac-804d-b760-e8611cc0302b.png";
-import newplot_2e21384e_bcac_801e_b0b1_da03761b1dc6 from "../assets/image/newplot_2e21384e-bcac-801e-b0b1-da03761b1dc6.png";
 import newplot_2c41384e_bcac_8073_9395_cf2d0e901187 from "../assets/image/newplot_2c41384e-bcac-8073-9395-cf2d0e901187.png";
 import newplot_2c31384e_bcac_800b_82e8_ff44228f7720 from "../assets/image/newplot_2c31384e-bcac-800b-82e8-ff44228f7720.png";
 import newplot_2e11384e_bcac_800a_abc6_d0690da3f955 from "../assets/image/newplot_2e11384e-bcac-800a-abc6-d0690da3f955.png";
@@ -64,7 +64,13 @@ TODO: call the best one FinePhrase in the blog post and just show that one
 
 DCLM, REWIRE and Nemotron-HQ-Synth are the strongest baselines in our setup by a significant margin. For this reason we compare against DCLM in the following experiments.
 
-<Image src={newplot_2e21384e_bcac_801e_b0b1_da03761b1dc6} alt="Image" />
+<HtmlEmbed
+  id="baselines-comparison"
+  src="d3-baselines.html"
+  data="baselines.csv"
+  title="Baseline Comparison"
+  desc="Figure: Comparison of baseline datasets across different evaluation metrics. Use the dropdown to switch metrics."
+/>
 
 #### Disecting the synthetic baselines
 

app/src/content/embeds/d3-baselines.html

@@ -0,0 +1,609 @@
+<div class="d3-baselines"></div>
+<style>
+  .d3-baselines { position: relative; }
+  .d3-baselines .controls {
+    display: flex;
+    gap: 16px;
+    align-items: center;
+    justify-content: flex-end;
+    flex-wrap: wrap;
+    margin: 10px 0 0 0;
+  }
+  .d3-baselines .controls .control-group {
+    display: flex;
+    flex-direction: column;
+    align-items: flex-start;
+    gap: 6px;
+  }
+  .d3-baselines .controls label {
+    font-size: 12px;
+    font-weight: 700;
+    color: var(--text-color);
+  }
+  .d3-baselines .controls select {
+    appearance: none;
+    -webkit-appearance: none;
+    -moz-appearance: none;
+    border: 1px solid var(--border-color);
+    border-radius: 8px;
+    padding: 6px 28px 6px 10px;
+    background-color: var(--surface-bg);
+    color: var(--text-color);
+    font-size: 13px;
+    line-height: 1.2;
+    background-image: url("data:image/svg+xml,%3Csvg width='12' height='8' viewBox='0 0 12 8' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M1.41 1.59L6 6.17l4.59-4.58L12 3 6 9 0 3z' fill='%23999'/%3E%3C/svg%3E");
+    background-repeat: no-repeat;
+    background-position: right 8px center;
+  }
+  .d3-baselines .controls select:focus-visible {
+    outline: 2px solid var(--primary-color);
+    outline-offset: 2px;
+  }
+  .d3-baselines .legend {
+    display: flex;
+    flex-direction: column;
+    align-items: flex-start;
+    gap: 6px;
+    margin: 8px 0 0 0;
+    padding-bottom: 4px;
+  }
+  .d3-baselines .legend .legend-title {
+    font-size: 12px;
+    font-weight: 700;
+    color: var(--text-color);
+  }
+  .d3-baselines .legend .items {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 8px 14px;
+  }
+  .d3-baselines .legend .item {
+    display: inline-flex;
+    align-items: center;
+    gap: 6px;
+    white-space: nowrap;
+    font-size: 12px;
+    color: var(--text-color);
+    cursor: pointer;
+  }
+  .d3-baselines .legend .item.ghost { opacity: .25; }
+  .d3-baselines .legend .swatch {
+    width: 14px;
+    height: 14px;
+    border-radius: 3px;
+    border: 1px solid var(--border-color);
+  }
+  .d3-baselines .bar.ghost { opacity: .25; }
+  .d3-baselines .value-label.ghost { opacity: .25; }
+  .d3-baselines .line-path { fill: none; stroke-width: 2; opacity: 0.85; }
+  .d3-baselines .line-path.ghost { opacity: .15; }
+  .d3-baselines .line-dot.ghost { opacity: .15; }
+  .d3-baselines .axes path { display: none; }
+  .d3-baselines .axes line { stroke: var(--axis-color); }
+  .d3-baselines .axes text { fill: var(--tick-color); }
+  .d3-baselines .grid line { stroke: var(--grid-color); }
+  .d3-baselines .hover-line {
+    stroke: var(--text-color);
+    stroke-opacity: 0.25;
+    stroke-width: 1;
+    pointer-events: none;
+  }
+  .d3-baselines .d3-tooltip {
+    position: absolute;
+    top: 0px;
+    left: 0px;
+    transform: translate(-9999px, -9999px);
+    pointer-events: none;
+    padding: 8px 10px;
+    border-radius: 8px;
+    font-size: 12px;
+    line-height: 1.35;
+    border: 1px solid var(--border-color);
+    background: var(--surface-bg);
+    color: var(--text-color);
+    box-shadow: 0 4px 24px rgba(0,0,0,.18);
+    opacity: 0;
+    transition: opacity .12s ease;
+    text-align: left;
+    z-index: 10;
+  }
+  .d3-baselines .d3-tooltip .tip-dot {
+    display: inline-block;
+    width: 10px;
+    height: 10px;
+    border-radius: 3px;
+    border: 1px solid var(--border-color);
+    margin-right: 6px;
+    vertical-align: middle;
+  }
+</style>
+<script>
+  (() => {
+    const ensureD3 = (cb) => {
+      if (window.d3 && typeof window.d3.select === 'function') return cb();
+      let s = document.getElementById('d3-cdn-script');
+      if (!s) { s = document.createElement('script'); s.id = 'd3-cdn-script'; s.src = 'https://cdn.jsdelivr.net/npm/d3@7/dist/d3.min.js'; document.head.appendChild(s); }
+      const onReady = () => { if (window.d3 && typeof window.d3.select === 'function') cb(); };
+      s.addEventListener('load', onReady, { once: true }); if (window.d3) onReady();
+    };
+
+    const bootstrap = () => {
+      const scriptEl = document.currentScript;
+      let container = scriptEl ? scriptEl.previousElementSibling : null;
+      if (!(container && container.classList && container.classList.contains('d3-baselines'))) {
+        const cs = Array.from(document.querySelectorAll('.d3-baselines')).filter(el => !(el.dataset && el.dataset.mounted === 'true'));
+        container = cs[cs.length - 1] || null;
+      }
+      if (!container) return;
+      if (container.dataset) { if (container.dataset.mounted === 'true') return; container.dataset.mounted = 'true'; }
+
+      container.style.position = container.style.position || 'relative';
+
+      // Tooltip
+      let tip = container.querySelector('.d3-tooltip'), tipInner;
+      if (!tip) {
+        tip = document.createElement('div'); tip.className = 'd3-tooltip';
+        tipInner = document.createElement('div'); tipInner.className = 'd3-tooltip__inner'; tip.appendChild(tipInner);
+        container.appendChild(tip);
+      } else { tipInner = tip.querySelector('.d3-tooltip__inner') || tip; }
+
+      // Display name maps
+      const DATASET_NAMES = {
+        'cosmopedia': 'Cosmopedia',
+        'dclm': 'DCLM',
+        'fw_edu_hq': 'FineWeb-Edu (HQ)',
+        'fw_edu_lq': 'FineWeb-Edu (LQ)',
+        'nemotron_hq_synth': 'Nemotron-HQ-Synth',
+        'rewire': 'REWIRE',
+        'synth_query_reasoning_answer': 'SYNTH',
+        'ultra-fineweb': 'Ultra-FineWeb'
+      };
+
+      const METRIC_NAMES = {
+        'agg_score_macro': 'Aggregate Score (Macro)',
+        'agg_score_micro': 'Aggregate Score (Micro)',
+        'agg_score_RC': 'Reading Comprehension',
+        'agg_score_GK': 'General Knowledge',
+        'agg_score_NLU': 'Natural Language Understanding',
+        'agg_score_MATH': 'Math',
+        'agg_score_TABLE': 'Table Understanding',
+        'agg_score_RES': 'Reasoning',
+        'lighteval|arc_cf:easy|3/prob_norm_token': 'ARC-Easy',
+        'lighteval|drop|3/prob_norm_token': 'DROP',
+        'lighteval|gsm8k|3/prob_norm_token': 'GSM8K',
+        'lighteval|hellaswag_cf|3/prob_norm_token': 'HellaSwag',
+        'lighteval|openbookqa_cf|3/prob_norm_token': 'OpenBookQA',
+        'lighteval|piqa_cf|3/prob_norm_token': 'PIQA',
+        'lighteval|squad_v2|3/prob_norm_token': 'SQuAD v2',
+        'lighteval|treb_qa|3/prob_norm_token': 'TriviaQA',
+        'lighteval|wikitablequestions|3/prob_norm_token': 'WikiTableQuestions',
+        'lighteval|winogrande_cf|3/prob_norm_token': 'Winogrande',
+        'lighteval|xcsqa_cf|3/prob_norm_token': 'XCSQA',
+        'lighteval|mmlu_redux_cf:_average|3/prob_norm_token': 'MMLU Redux'
+      };
+
+      const METRIC_ORDER = [
+        'agg_score_macro', 'agg_score_micro',
+        'agg_score_RC', 'agg_score_GK', 'agg_score_NLU',
+        'agg_score_MATH', 'agg_score_TABLE', 'agg_score_RES',
+        'lighteval|arc_cf:easy|3/prob_norm_token',
+        'lighteval|drop|3/prob_norm_token',
+        'lighteval|gsm8k|3/prob_norm_token',
+        'lighteval|hellaswag_cf|3/prob_norm_token',
+        'lighteval|openbookqa_cf|3/prob_norm_token',
+        'lighteval|piqa_cf|3/prob_norm_token',
+        'lighteval|squad_v2|3/prob_norm_token',
+        'lighteval|treb_qa|3/prob_norm_token',
+        'lighteval|wikitablequestions|3/prob_norm_token',
+        'lighteval|winogrande_cf|3/prob_norm_token',
+        'lighteval|xcsqa_cf|3/prob_norm_token',
+        'lighteval|mmlu_redux_cf:_average|3/prob_norm_token'
+      ];
+
+      // Read optional config
+      let mountEl = container;
+      while (mountEl && !mountEl.getAttribute?.('data-config')) { mountEl = mountEl.parentElement; }
+      let providedConfig = null;
+      try {
+        const cfg = mountEl && mountEl.getAttribute ? mountEl.getAttribute('data-config') : null;
+        if (cfg && cfg.trim()) providedConfig = cfg.trim().startsWith('{') ? JSON.parse(cfg) : null;
+      } catch (_) {}
+
+      const defaultMetric = (providedConfig && providedConfig.defaultMetric) || 'agg_score_macro';
+
+      // SVG
+      const svg = d3.select(container).append('svg').attr('width', '100%').style('display', 'block');
+      const gRoot = svg.append('g');
+
+      // State
+      let allData = [];
+      let currentMetric = defaultMetric;
+      let currentView = 'bar'; // 'bar' or 'line'
+      let colorMap = {};
+      let highlight = null;
+
+      // 1.05B tokens per 500 steps → 2.1M tokens per step
+      const TOKENS_PER_STEP = 2.1e6;
+      function stepsToTokens(step) { return step * TOKENS_PER_STEP; }
+      function formatTokens(tokens) {
+        if (tokens >= 1e9) return d3.format('.2f')(tokens / 1e9) + 'B';
+        if (tokens >= 1e6) return d3.format('.1f')(tokens / 1e6) + 'M';
+        return d3.format(',')(tokens);
+      }
+      function formatStep(step) {
+        if (step >= 1000) return d3.format('.0f')(step / 1000) + 'K';
+        return String(step);
+      }
+      // Compact: "12.6B (6K)" for axis ticks
+      function stepLabelShort(step) { return `${formatTokens(stepsToTokens(step))} (${formatStep(step)})`; }
+      // Verbose: "12.6B Tokens (6K Steps)" for tooltip
+      function stepLabelLong(step) { return `${formatTokens(stepsToTokens(step))} Tokens (${formatStep(step)} Steps)`; }
+
+      // Color helpers
+      function getCategoricalColors(n) {
+        try { if (window.ColorPalettes && typeof window.ColorPalettes.getColors === 'function') return window.ColorPalettes.getColors('categorical', n); } catch (_) {}
+        return (d3.schemeTableau10 || ['#4e79a7','#f28e2b','#e15759','#76b7b2','#59a14f','#edc948','#b07aa1','#ff9da7','#9c755f','#bab0ac']).slice(0, n);
+      }
+
+      function initColors() {
+        const allNames = Array.from(d3.group(allData, d => d.runname).keys()).sort();
+        if (!Object.keys(colorMap).length) {
+          const palette = getCategoricalColors(allNames.length);
+          allNames.forEach((name, i) => { colorMap[name] = palette[i % palette.length]; });
+        }
+      }
+
+      function showTip(html, x, y) {
+        tipInner.innerHTML = html;
+        const tipW = tip.offsetWidth || 180;
+        const cW = container.clientWidth || 800;
+        const px = (x + tipW + 20 > cW) ? x - tipW - 12 : x + 12;
+        tip.style.transform = `translate(${px}px, ${Math.max(0, y - 20)}px)`;
+        tip.style.opacity = '1';
+      }
+      function hideTip() {
+        tip.style.opacity = '0';
+        tip.style.transform = 'translate(-9999px, -9999px)';
+      }
+
+      function updateHighlight() {
+        // Bar view
+        gRoot.selectAll('rect.bar').classed('ghost', d => highlight && d.name !== highlight);
+        gRoot.selectAll('text.value-label').classed('ghost', d => highlight && d.name !== highlight);
+        // Line view
+        gRoot.selectAll('.line-path').classed('ghost', d => highlight && d.name !== highlight);
+        gRoot.selectAll('.line-dot').classed('ghost', d => highlight && d.name !== highlight);
+        // Legend
+        container.querySelectorAll('.legend .item').forEach(el => {
+          el.classList.toggle('ghost', highlight && el.getAttribute('data-name') !== highlight);
+        });
+      }
+
+      // ─── BAR CHART ───
+      function renderBar() {
+        const width = container.clientWidth || 800;
+        const margin = { top: 12, right: 56, bottom: 32, left: 140 };
+
+        const grouped = d3.group(allData, d => d.runname);
+        const finalData = [];
+        for (const [runname, rows] of grouped) {
+          const maxStep = d3.max(rows, r => +r.steps);
+          const row = rows.find(r => +r.steps === maxStep);
+          if (row) finalData.push({ name: DATASET_NAMES[runname] || runname, rawName: runname, value: +row[currentMetric] });
+        }
+        finalData.sort((a, b) => b.value - a.value);
+
+        const barHeight = 28, barGap = 8;
+        const height = margin.top + margin.bottom + finalData.length * (barHeight + barGap);
+        svg.attr('width', width).attr('height', height);
+        gRoot.attr('transform', `translate(${margin.left},${margin.top})`);
+
+        const innerWidth = width - margin.left - margin.right;
+        const innerHeight = height - margin.top - margin.bottom;
+
+        const x = d3.scaleLinear().domain([0, d3.max(finalData, d => d.value) * 1.05]).range([0, innerWidth]);
+        const y = d3.scaleBand().domain(finalData.map(d => d.name)).range([0, innerHeight]).padding(0.2);
+
+        // Grid
+        gRoot.selectAll('.grid').data([0]).join('g').attr('class', 'grid').call(g => {
+          g.selectAll('line').data(x.ticks(5)).join('line')
+            .attr('x1', d => x(d)).attr('x2', d => x(d)).attr('y1', 0).attr('y2', innerHeight);
+        });
+
+        // X axis
+        gRoot.selectAll('.axis-x').data([0]).join('g').attr('class', 'axes axis-x')
+          .attr('transform', `translate(0,${innerHeight})`)
+          .call(d3.axisBottom(x).ticks(5).tickFormat(d3.format('.3f')).tickSizeOuter(0))
+          .call(g => {
+            g.selectAll('text').attr('fill', 'var(--tick-color)').style('font-size', '11px');
+            g.selectAll('path, line').attr('stroke', 'var(--axis-color)');
+          });
+
+        // Y axis
+        gRoot.selectAll('.axis-y').data([0]).join('g').attr('class', 'axes axis-y')
+          .call(d3.axisLeft(y).tickSizeOuter(0))
+          .call(g => {
+            g.selectAll('text').attr('fill', 'var(--text-color)').style('font-size', '12px').style('font-weight', '500');
+            g.selectAll('path, line').attr('stroke', 'var(--axis-color)');
+          });
+
+        // Remove line-specific elements
+        gRoot.selectAll('.line-path, .line-dot, .hover-line, .hover-overlay, .x-label, .y-label').remove();
+
+        // Bars
+        gRoot.selectAll('rect.bar').data(finalData, d => d.name).join(
+          enter => enter.append('rect').attr('class', 'bar')
+            .attr('x', 0).attr('y', d => y(d.name)).attr('height', y.bandwidth()).attr('rx', 3)
+            .attr('fill', d => colorMap[d.rawName] || 'var(--primary-color)')
+            .attr('width', 0)
+            .on('mouseenter', (ev, d) => { highlight = d.name; updateHighlight(); })
+            .on('mousemove', (ev, d) => {
+              const [mx, my] = d3.pointer(ev, container);
+              showTip(`<strong>${d.name}</strong><br/>${METRIC_NAMES[currentMetric] || currentMetric}: <strong>${d.value.toFixed(4)}</strong>`, mx, my);
+            })
+            .on('mouseleave', () => { hideTip(); highlight = null; updateHighlight(); })
+            .transition().duration(300).attr('width', d => Math.max(0, x(d.value))),
+          update => update
+            .on('mouseenter', (ev, d) => { highlight = d.name; updateHighlight(); })
+            .on('mousemove', (ev, d) => {
+              const [mx, my] = d3.pointer(ev, container);
+              showTip(`<strong>${d.name}</strong><br/>${METRIC_NAMES[currentMetric] || currentMetric}: <strong>${d.value.toFixed(4)}</strong>`, mx, my);
+            })
+            .on('mouseleave', () => { hideTip(); highlight = null; updateHighlight(); })
+            .transition().duration(300)
+            .attr('y', d => y(d.name)).attr('height', y.bandwidth())
+            .attr('width', d => Math.max(0, x(d.value)))
+            .attr('fill', d => colorMap[d.rawName] || 'var(--primary-color)'),
+          exit => exit.transition().duration(200).attr('width', 0).remove()
+        );
+
+        // Value labels
+        gRoot.selectAll('text.value-label').data(finalData, d => d.name).join(
+          enter => enter.append('text').attr('class', 'value-label')
+            .attr('x', d => x(d.value) + 5).attr('y', d => y(d.name) + y.bandwidth() / 2)
+            .attr('dy', '0.35em').attr('fill', 'var(--text-color)').attr('font-size', 11)
+            .text(d => d.value.toFixed(4)),
+          update => update.transition().duration(300)
+            .attr('x', d => x(d.value) + 5).attr('y', d => y(d.name) + y.bandwidth() / 2)
+            .text(d => d.value.toFixed(4)),
+          exit => exit.remove()
+        );
+      }
+
+      // ─── LINE CHART ───
+      function renderLine() {
+        const width = container.clientWidth || 800;
+        const margin = { top: 16, right: 50, bottom: 48, left: 60 };
+        const height = Math.max(300, Math.round(width / 2.5));
+        svg.attr('width', width).attr('height', height);
+        gRoot.attr('transform', `translate(${margin.left},${margin.top})`);
+
+        const innerWidth = width - margin.left - margin.right;
+        const innerHeight = height - margin.top - margin.bottom;
+
+        // Remove bar-specific elements
+        gRoot.selectAll('rect.bar, text.value-label').remove();
+
+        // Build series: one line per dataset
+        const grouped = d3.group(allData, d => d.runname);
+        const series = [];
+        for (const [runname, rows] of grouped) {
+          const pts = rows.map(r => ({ step: +r.steps, value: +r[currentMetric] })).sort((a, b) => a.step - b.step);
+          series.push({ name: DATASET_NAMES[runname] || runname, rawName: runname, values: pts });
+        }
+
+        const allSteps = Array.from(new Set(allData.map(r => +r.steps))).sort((a, b) => a - b);
+        const allValues = series.flatMap(s => s.values.map(v => v.value));
+
+        const x = d3.scaleLinear().domain(d3.extent(allSteps)).range([0, innerWidth]);
+        const yMin = d3.min(allValues);
+        const yMax = d3.max(allValues);
+        const yPad = (yMax - yMin) * 0.08;
+        const y = d3.scaleLinear().domain([yMin - yPad, yMax + yPad]).range([innerHeight, 0]).nice();
+
+        // Grid
+        gRoot.selectAll('.grid').data([0]).join('g').attr('class', 'grid').call(g => {
+          g.selectAll('line').data(y.ticks(6)).join('line')
+            .attr('x1', 0).attr('x2', innerWidth)
+            .attr('y1', d => y(d)).attr('y2', d => y(d));
+        });
+
+        // X axis: tokens with steps in brackets
+        gRoot.selectAll('.axis-x').data([0]).join('g').attr('class', 'axes axis-x')
+          .attr('transform', `translate(0,${innerHeight})`)
+          .call(d3.axisBottom(x).ticks(6).tickFormat(d => stepLabelShort(d)).tickSizeOuter(0))
+          .call(g => {
+            g.selectAll('text').attr('fill', 'var(--tick-color)').style('font-size', '10px');
+            g.selectAll('path, line').attr('stroke', 'var(--axis-color)');
+          });
+
+        // Y axis
+        gRoot.selectAll('.axis-y').data([0]).join('g').attr('class', 'axes axis-y')
+          .call(d3.axisLeft(y).ticks(6).tickFormat(d3.format('.3f')).tickSizeOuter(0))
+          .call(g => {
+            g.selectAll('text').attr('fill', 'var(--tick-color)').style('font-size', '11px');
+            g.selectAll('path, line').attr('stroke', 'var(--axis-color)');
+          });
+
+        // Axis labels
+        gRoot.selectAll('.x-label').data([0]).join('text').attr('class', 'x-label')
+          .attr('x', innerWidth / 2).attr('y', innerHeight + 38)
+          .attr('text-anchor', 'middle').attr('fill', 'var(--text-color)').attr('font-size', 12)
+          .text('Tokens (Steps)');
+
+        gRoot.selectAll('.y-label').data([0]).join('text').attr('class', 'y-label')
+          .attr('transform', 'rotate(-90)').attr('x', -innerHeight / 2).attr('y', -44)
+          .attr('text-anchor', 'middle').attr('fill', 'var(--text-color)').attr('font-size', 12)
+          .text(METRIC_NAMES[currentMetric] || currentMetric);
+
+        // Lines
+        const line = d3.line().x(d => x(d.step)).y(d => y(d.value)).curve(d3.curveMonotoneX);
+        gRoot.selectAll('.line-path').data(series, d => d.name).join(
+          enter => enter.append('path').attr('class', 'line-path')
+            .attr('stroke', d => colorMap[d.rawName] || 'var(--primary-color)')
+            .attr('d', d => line(d.values)),
+          update => update.transition().duration(300)
+            .attr('stroke', d => colorMap[d.rawName] || 'var(--primary-color)')
+            .attr('d', d => line(d.values)),
+          exit => exit.remove()
+        );
+
+        // Dots at each data point
+        const dotData = series.flatMap(s => s.values.map(v => ({ name: s.name, rawName: s.rawName, step: v.step, value: v.value })));
+        gRoot.selectAll('.line-dot').data(dotData, d => d.name + '-' + d.step).join(
+          enter => enter.append('circle').attr('class', 'line-dot')
+            .attr('cx', d => x(d.step)).attr('cy', d => y(d.value)).attr('r', 3)
+            .attr('fill', d => colorMap[d.rawName] || 'var(--primary-color)')
+            .attr('stroke', 'var(--surface-bg)').attr('stroke-width', 1),
+          update => update.transition().duration(300)
+            .attr('cx', d => x(d.step)).attr('cy', d => y(d.value))
+            .attr('fill', d => colorMap[d.rawName] || 'var(--primary-color)'),
+          exit => exit.remove()
+        );
+
+        // Hover overlay for vertical line + tooltip
+        gRoot.selectAll('.hover-line').data([0]).join('line').attr('class', 'hover-line')
+          .attr('y1', 0).attr('y2', innerHeight).style('display', 'none');
+
+        gRoot.selectAll('.hover-overlay').data([0]).join('rect').attr('class', 'hover-overlay')
+          .attr('width', innerWidth).attr('height', innerHeight)
+          .attr('fill', 'none').attr('pointer-events', 'all')
+          .on('mousemove', (ev) => {
+            const [mx] = d3.pointer(ev, gRoot.node());
+            const stepTarget = x.invert(mx);
+            const nearest = allSteps.reduce((best, s) => Math.abs(s - stepTarget) < Math.abs(best - stepTarget) ? s : best, allSteps[0]);
+            const px = x(nearest);
+
+            gRoot.select('.hover-line').attr('x1', px).attr('x2', px).style('display', null);
+
+            // Build tooltip sorted by value at this step
+            const entries = series.map(s => {
+              const pt = s.values.find(v => v.step === nearest);
+              return pt ? { name: s.name, rawName: s.rawName, value: pt.value } : null;
+            }).filter(Boolean).sort((a, b) => b.value - a.value);
+
+            let html = `<div style="font-weight:700;margin-bottom:4px;">${stepLabelLong(nearest)}</div>`;
+            entries.forEach(e => {
+              html += `<div><span class="tip-dot" style="background:${colorMap[e.rawName]}"></span>${e.name}: <strong>${e.value.toFixed(4)}</strong></div>`;
+            });
+
+            const [cx, cy] = d3.pointer(ev, container);
+            showTip(html, cx, cy);
+          })
+          .on('mouseleave', () => {
+            gRoot.select('.hover-line').style('display', 'none');
+            hideTip();
+          });
+      }
+
+      // ─── MAIN RENDER DISPATCHER ───
+      function render() {
+        if (!allData.length) return;
+        initColors();
+        gRoot.selectAll('*').remove();
+        if (currentView === 'bar') renderBar();
+        else renderLine();
+      }
+
+      // ─── BUILD UI ───
+      function buildUI() {
+        const controls = document.createElement('div'); controls.className = 'controls';
+
+        // View toggle
+        const viewGroup = document.createElement('div'); viewGroup.className = 'control-group';
+        const viewLabel = document.createElement('label'); viewLabel.setAttribute('for', 'view-select-baselines'); viewLabel.textContent = 'View';
+        const viewSelect = document.createElement('select'); viewSelect.id = 'view-select-baselines';
+        [['bar', 'Final Score (Bar)'], ['line', 'Training Progression (Line)']].forEach(([val, text]) => {
+          const opt = document.createElement('option'); opt.value = val; opt.textContent = text;
+          if (val === currentView) opt.selected = true;
+          viewSelect.appendChild(opt);
+        });
+        viewSelect.addEventListener('change', () => { currentView = viewSelect.value; render(); });
+        viewGroup.appendChild(viewLabel); viewGroup.appendChild(viewSelect);
+        controls.appendChild(viewGroup);
+
+        // Metric select
+        const metricGroup = document.createElement('div'); metricGroup.className = 'control-group';
+        const metricLabel = document.createElement('label'); metricLabel.setAttribute('for', 'metric-select-baselines'); metricLabel.textContent = 'Metric';
+        const metricSelect = document.createElement('select'); metricSelect.id = 'metric-select-baselines';
+        const aggGroup = document.createElement('optgroup'); aggGroup.label = 'Aggregate Scores';
+        const indGroup = document.createElement('optgroup'); indGroup.label = 'Individual Benchmarks';
+        METRIC_ORDER.forEach(key => {
+          const opt = document.createElement('option'); opt.value = key; opt.textContent = METRIC_NAMES[key] || key;
+          if (key === defaultMetric) opt.selected = true;
+          if (key.startsWith('lighteval|')) indGroup.appendChild(opt); else aggGroup.appendChild(opt);
+        });
+        metricSelect.appendChild(aggGroup); metricSelect.appendChild(indGroup);
+        metricSelect.addEventListener('change', () => { currentMetric = metricSelect.value; render(); });
+        metricGroup.appendChild(metricLabel); metricGroup.appendChild(metricSelect);
+        controls.appendChild(metricGroup);
+
+        container.appendChild(controls);
+
+        // Legend
+        const legend = document.createElement('div'); legend.className = 'legend';
+        legend.innerHTML = '<div class="legend-title">Legend</div><div class="items"></div>';
+        container.appendChild(legend);
+      }
+
+      function buildLegend() {
+        const items = container.querySelector('.legend .items');
+        if (!items) return;
+        items.innerHTML = '';
+        const allNames = Array.from(d3.group(allData, d => d.runname).keys()).sort();
+        allNames.forEach(rawName => {
+          const displayName = DATASET_NAMES[rawName] || rawName;
+          const el = document.createElement('span'); el.className = 'item'; el.setAttribute('data-name', displayName);
+          const sw = document.createElement('span'); sw.className = 'swatch'; sw.style.background = colorMap[rawName] || '#999';
+          const txt = document.createElement('span'); txt.textContent = displayName;
+          el.appendChild(sw); el.appendChild(txt); items.appendChild(el);
+          el.addEventListener('mouseenter', () => { highlight = displayName; updateHighlight(); });
+          el.addEventListener('mouseleave', () => { highlight = null; updateHighlight(); });
+        });
+      }
+
+      buildUI();
+
+      // ─── DATA LOADING ───
+      const fetchFirstAvailable = async (paths) => {
+        for (const p of paths) {
+          try { const r = await fetch(p, { cache: 'no-cache' }); if (r.ok) return await r.text(); } catch (_) {}
+        }
+        throw new Error('CSV not found');
+      };
+
+      let dataMountEl = container;
+      while (dataMountEl && !dataMountEl.getAttribute?.('data-datafiles')) { dataMountEl = dataMountEl.parentElement; }
+      let providedData = null;
+      try {
+        const attr = dataMountEl && dataMountEl.getAttribute ? dataMountEl.getAttribute('data-datafiles') : null;
+        if (attr && attr.trim()) providedData = attr.trim().startsWith('[') ? JSON.parse(attr) : attr.trim();
+      } catch (_) {}
+
+      const ensurePrefix = (p) => (typeof p === 'string' && p && !p.includes('/')) ? `/data/${p}` : p;
+      const csvPaths = providedData
+        ? (Array.isArray(providedData) ? providedData.map(ensurePrefix) : [ensurePrefix(providedData)])
+        : ['/data/baselines.csv', './assets/data/baselines.csv', '../assets/data/baselines.csv'];
+
+      (async () => {
+        try {
+          const text = await fetchFirstAvailable(csvPaths);
+          allData = d3.csvParse(text);
+          render();
+          buildLegend();
+          if (window.ResizeObserver) { new ResizeObserver(() => render()).observe(container); }
+          else { window.addEventListener('resize', () => render()); }
+        } catch (e) {
+          const pre = document.createElement('pre');
+          pre.textContent = 'Data load error: ' + (e && e.message ? e.message : e);
+          pre.style.color = 'var(--danger, #b00020)';
+          pre.style.fontSize = '12px';
+          container.appendChild(pre);
+        }
+      })();
+    };
+
+    if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', () => ensureD3(bootstrap), { once: true }); }
+    else { ensureD3(bootstrap); }
+  })();
+</script>