| <div class="d3-metrics-comparison"></div> |
|
|
| <style> |
| .d3-metrics-comparison { |
| font-family: var(--default-font-family); |
| background: transparent; |
| border: none; |
| border-radius: 0; |
| padding: var(--spacing-4) 0; |
| width: 100%; |
| margin: 0 auto; |
| position: relative; |
| } |
| |
| .d3-metrics-comparison svg { |
| width: 100%; |
| height: auto; |
| display: block; |
| } |
| |
| .d3-metrics-comparison .node-rect { |
| stroke-width: 2; |
| transition: all 0.3s ease; |
| } |
| |
| .d3-metrics-comparison .node-rect:hover { |
| filter: brightness(1.1); |
| stroke-width: 3; |
| } |
| |
| .d3-metrics-comparison .input-node { |
| fill: oklch(from var(--primary-color) calc(l + 0.42) c h / 0.35); |
| stroke: oklch(from var(--primary-color) calc(l + 0.1) c h / 0.7); |
| } |
| |
| .d3-metrics-comparison .method-node { |
| fill: oklch(from var(--primary-color) calc(l + 0.38) c h / 0.45); |
| stroke: var(--primary-color); |
| } |
| |
| .d3-metrics-comparison .score-node { |
| fill: oklch(from var(--primary-color) calc(l + 0.35) c h / 0.55); |
| stroke: oklch(from var(--primary-color) calc(l - 0.05) calc(c * 1.2) h); |
| } |
| |
| [data-theme="dark"] .d3-metrics-comparison .input-node { |
| fill: oklch(from var(--primary-color) calc(l + 0.32) c h / 0.3); |
| stroke: oklch(from var(--primary-color) calc(l + 0.05) c h / 0.75); |
| } |
| |
| [data-theme="dark"] .d3-metrics-comparison .method-node { |
| fill: oklch(from var(--primary-color) calc(l + 0.28) c h / 0.4); |
| stroke: oklch(from var(--primary-color) calc(l + 0.05) calc(c * 1.1) h); |
| } |
| |
| [data-theme="dark"] .d3-metrics-comparison .score-node { |
| fill: oklch(from var(--primary-color) calc(l + 0.25) c h / 0.5); |
| stroke: oklch(from var(--primary-color) calc(l) calc(c * 1.3) h); |
| } |
| |
| .d3-metrics-comparison .node-label { |
| fill: var(--text-color); |
| font-size: 13px; |
| font-weight: 600; |
| pointer-events: none; |
| user-select: none; |
| } |
| |
| .d3-metrics-comparison .node-sublabel { |
| fill: var(--muted-color); |
| font-size: 10px; |
| font-weight: 500; |
| pointer-events: none; |
| user-select: none; |
| } |
| |
| .d3-metrics-comparison .node-example { |
| fill: var(--text-color); |
| font-size: 10px; |
| font-weight: 500; |
| font-style: italic; |
| pointer-events: none; |
| user-select: none; |
| } |
| |
| .d3-metrics-comparison .link-path { |
| fill: none; |
| stroke: oklch(from var(--primary-color) l c h / 0.4); |
| stroke-width: 2; |
| transition: all 0.3s ease; |
| } |
| |
| [data-theme="dark"] .d3-metrics-comparison .link-path { |
| stroke: oklch(from var(--primary-color) l c h / 0.5); |
| } |
| |
| .d3-metrics-comparison .link-path:hover { |
| stroke: var(--primary-color); |
| stroke-width: 3; |
| } |
| |
| .d3-metrics-comparison .link-label { |
| fill: var(--text-color); |
| font-size: 10px; |
| font-weight: 600; |
| pointer-events: none; |
| user-select: none; |
| } |
| |
| .d3-metrics-comparison .score-badge { |
| fill: var(--primary-color); |
| font-size: 14px; |
| font-weight: 700; |
| pointer-events: none; |
| user-select: none; |
| } |
| |
| .d3-metrics-comparison .score-badge-bg { |
| fill: var(--surface-bg); |
| stroke: var(--primary-color); |
| stroke-width: 2; |
| } |
| |
| .d3-metrics-comparison .section-title { |
| fill: var(--primary-color); |
| font-size: 12px; |
| font-weight: 700; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| } |
| |
| [data-theme="dark"] .d3-metrics-comparison .section-title { |
| fill: oklch(from var(--primary-color) calc(l + 0.1) calc(c * 1.2) h); |
| } |
| |
| .d3-metrics-comparison .marker { |
| fill: oklch(from var(--primary-color) l c h / 0.6); |
| } |
| |
| .d3-metrics-comparison .tooltip { |
| position: absolute; |
| background: var(--surface-bg); |
| border: 1px solid var(--border-color); |
| border-radius: 8px; |
| padding: 10px 14px; |
| font-size: 12px; |
| pointer-events: none; |
| opacity: 0; |
| transition: opacity 0.2s ease; |
| box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15); |
| z-index: 1000; |
| max-width: 350px; |
| line-height: 1.5; |
| white-space: pre-line; |
| color: var(--text-color); |
| } |
| |
| .d3-metrics-comparison .tooltip.visible { |
| opacity: 1; |
| } |
| |
| @media (max-width: 768px) { |
| .d3-metrics-comparison .node-label { |
| font-size: 11px; |
| } |
| |
| .d3-metrics-comparison .node-sublabel { |
| font-size: 9px; |
| } |
| |
| .d3-metrics-comparison .node-example { |
| font-size: 9px; |
| } |
| |
| .d3-metrics-comparison .link-label { |
| font-size: 9px; |
| } |
| |
| .d3-metrics-comparison .score-badge { |
| font-size: 12px; |
| } |
| } |
| </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-metrics-comparison'))) { |
| const candidates = Array.from(document.querySelectorAll('.d3-metrics-comparison')) |
| .filter((el) => !(el.dataset && el.dataset.mounted === 'true')); |
| container = candidates[candidates.length - 1] || null; |
| } |
| |
| if (!container) return; |
| |
| if (container.dataset) { |
| if (container.dataset.mounted === 'true') return; |
| container.dataset.mounted = 'true'; |
| } |
| |
| container.style.position = 'relative'; |
| |
| |
| const tooltip = document.createElement('div'); |
| tooltip.className = 'tooltip'; |
| container.appendChild(tooltip); |
| |
| |
| const data = { |
| inputs: [ |
| { |
| id: 'prediction', |
| label: 'Prediction', |
| sublabel: '(model output)', |
| example: '"Evaluation is an amazing topic"' |
| }, |
| { |
| id: 'reference', |
| label: 'Reference', |
| sublabel: '(ground truth)', |
| example: '"Evaluation is amazing"' |
| } |
| ], |
| methods: [ |
| { |
| id: 'exact', |
| label: 'Exact Match', |
| sublabel: 'token sequences', |
| score: '0', |
| description: 'Strings don\'t match exactly—missing words "an" and "topic"', |
| scoreType: 'binary' |
| }, |
| { |
| id: 'bleu', |
| label: 'BLEU', |
| sublabel: 'n-gram overlap', |
| score: '0.13', |
| description: 'Actual BLEU computation:\n• BLEU-1 (unigrams): 0.60 (3/5 match)\n• BLEU-2 (bigrams): 0.39 (1/4 match)\n• BLEU-3 (trigrams): 0.17 (0/3 match)\n• Final BLEU (geometric mean): 0.13\n• Brevity penalty reduces score (prediction > reference)', |
| scoreType: 'continuous' |
| }, |
| { |
| id: 'rouge', |
| label: 'ROUGE', |
| sublabel: 'recall-oriented', |
| score: '0.75', |
| description: 'ROUGE-1 (unigram) scores:\n• Recall: 3/3 = 100% (all reference words found in prediction)\n• Precision: 3/5 = 60% (prediction words in reference)\n• F1 score: 0.75\nReference: ["evaluation", "is", "amazing"]', |
| scoreType: 'continuous' |
| }, |
| { |
| id: 'bleurt', |
| label: 'BLEURT', |
| sublabel: 'semantic similarity', |
| score: '0.85', |
| description: 'High semantic similarity—both express positive sentiment about evaluation', |
| scoreType: 'continuous' |
| } |
| ], |
| scores: [ |
| { |
| id: 'binary', |
| label: 'Binary Score', |
| sublabel: 'correct/incorrect' |
| }, |
| { |
| id: 'continuous', |
| label: 'Continuous Score', |
| sublabel: '0.0 to 1.0' |
| } |
| ] |
| }; |
| |
| const svg = d3.select(container).append('svg'); |
| const g = svg.append('g'); |
| |
| |
| svg.append('defs').append('marker') |
| .attr('id', 'arrowhead') |
| .attr('viewBox', '0 -5 10 10') |
| .attr('refX', 8) |
| .attr('refY', 0) |
| .attr('markerWidth', 6) |
| .attr('markerHeight', 6) |
| .attr('orient', 'auto') |
| .append('path') |
| .attr('d', 'M0,-5L10,0L0,5') |
| .attr('class', 'marker'); |
| |
| let width = 800; |
| let height = 500; |
| |
| function wrapText(text, maxWidth) { |
| const words = text.split(' '); |
| const lines = []; |
| let currentLine = words[0]; |
| |
| for (let i = 1; i < words.length; i++) { |
| const word = words[i]; |
| const testLine = currentLine + ' ' + word; |
| if (testLine.length * 6 < maxWidth) { |
| currentLine = testLine; |
| } else { |
| lines.push(currentLine); |
| currentLine = word; |
| } |
| } |
| lines.push(currentLine); |
| return lines; |
| } |
| |
| function render() { |
| width = container.clientWidth || 800; |
| height = Math.max(500, Math.round(width * 0.7)); |
| |
| svg.attr('width', width).attr('height', height); |
| |
| const margin = { top: 40, right: 20, bottom: 20, left: 20 }; |
| const innerWidth = width - margin.left - margin.right; |
| const innerHeight = height - margin.top - margin.bottom; |
| |
| g.attr('transform', `translate(${margin.left},${margin.top})`); |
| |
| |
| g.selectAll('*').remove(); |
| |
| |
| const nodeWidth = Math.min(150, innerWidth * 0.2); |
| const nodeHeight = 85; |
| const gapBetweenColumns = Math.max(80, innerWidth * 0.15); |
| |
| |
| const col1X = nodeWidth / 2 + 20; |
| const col2X = col1X + nodeWidth / 2 + gapBetweenColumns + nodeWidth / 2; |
| const col3X = col2X + nodeWidth / 2 + gapBetweenColumns + nodeWidth / 2; |
| |
| |
| g.selectAll('.section-title') |
| .data([ |
| { x: col1X, label: 'INPUTS' }, |
| { x: col2X, label: 'COMPARISON METHODS' }, |
| { x: col3X, label: 'SCORES' } |
| ]) |
| .join('text') |
| .attr('class', 'section-title') |
| .attr('x', d => d.x) |
| .attr('y', -15) |
| .attr('text-anchor', 'middle') |
| .text(d => d.label); |
| |
| |
| const inputY = innerHeight * 0.25; |
| const methodStartY = 40; |
| const methodSpacing = (innerHeight - methodStartY - nodeHeight) / (data.methods.length - 1); |
| |
| |
| |
| |
| const exactMatchY = methodStartY + 0 * methodSpacing; |
| const rougeY = methodStartY + 2 * methodSpacing; |
| |
| |
| const inputNodes = data.inputs.map((d, i) => ({ |
| ...d, |
| x: col1X - nodeWidth / 2, |
| y: inputY + i * (nodeHeight + 30), |
| width: nodeWidth, |
| height: nodeHeight, |
| type: 'input' |
| })); |
| |
| const methodNodes = data.methods.map((d, i) => ({ |
| ...d, |
| x: col2X - nodeWidth / 2, |
| y: methodStartY + i * methodSpacing, |
| width: nodeWidth, |
| height: nodeHeight, |
| type: 'method' |
| })); |
| |
| const scoreNodes = data.scores.map((d, i) => { |
| |
| const yPos = d.id === 'binary' ? exactMatchY : rougeY; |
| return { |
| ...d, |
| x: col3X - nodeWidth / 2, |
| y: yPos, |
| width: nodeWidth, |
| height: nodeHeight, |
| type: 'score' |
| }; |
| }); |
| |
| const allNodes = [...inputNodes, ...methodNodes, ...scoreNodes]; |
| |
| |
| const links = []; |
| |
| |
| inputNodes.forEach(input => { |
| methodNodes.forEach(method => { |
| links.push({ |
| source: input, |
| target: method, |
| type: 'input-method' |
| }); |
| }); |
| }); |
| |
| |
| methodNodes.forEach(method => { |
| const targetScore = scoreNodes.find(s => s.id === method.scoreType); |
| if (targetScore) { |
| links.push({ |
| source: method, |
| target: targetScore, |
| type: 'method-score', |
| score: method.score |
| }); |
| } |
| }); |
| |
| |
| const linkGroup = g.append('g').attr('class', 'links'); |
| |
| linkGroup.selectAll('.link-path') |
| .data(links) |
| .join('path') |
| .attr('class', 'link-path') |
| .attr('d', d => { |
| const sx = d.source.x + d.source.width; |
| const sy = d.source.y + d.source.height / 2; |
| const tx = d.target.x; |
| const ty = d.target.y + d.target.height / 2; |
| const mx = (sx + tx) / 2; |
| return `M ${sx} ${sy} C ${mx} ${sy}, ${mx} ${ty}, ${tx} ${ty}`; |
| }) |
| .attr('marker-end', 'url(#arrowhead)'); |
| |
| |
| const scoreBadges = linkGroup.selectAll('.score-badge-group') |
| .data(links.filter(d => d.type === 'method-score')) |
| .join('g') |
| .attr('class', 'score-badge-group') |
| .attr('transform', d => { |
| const sx = d.source.x + d.source.width; |
| const sy = d.source.y + d.source.height / 2; |
| const tx = d.target.x; |
| const ty = d.target.y + d.target.height / 2; |
| const mx = (sx + tx) / 2; |
| const my = (sy + ty) / 2; |
| return `translate(${mx}, ${my})`; |
| }); |
| |
| scoreBadges.append('rect') |
| .attr('class', 'score-badge-bg') |
| .attr('x', -20) |
| .attr('y', -12) |
| .attr('width', 40) |
| .attr('height', 24) |
| .attr('rx', 6); |
| |
| scoreBadges.append('text') |
| .attr('class', 'score-badge') |
| .attr('text-anchor', 'middle') |
| .attr('dominant-baseline', 'middle') |
| .text(d => d.score); |
| |
| |
| const nodeGroup = g.append('g').attr('class', 'nodes'); |
| |
| const nodes = nodeGroup.selectAll('.node') |
| .data(allNodes) |
| .join('g') |
| .attr('class', 'node') |
| .attr('transform', d => `translate(${d.x},${d.y})`) |
| .style('cursor', 'pointer'); |
| |
| nodes.append('rect') |
| .attr('class', d => `node-rect ${d.type}-node`) |
| .attr('width', d => d.width) |
| .attr('height', d => d.height) |
| .attr('rx', 8) |
| .on('mouseenter', function(event, d) { |
| if (d.description) { |
| tooltip.textContent = d.description; |
| tooltip.classList.add('visible'); |
| const rect = container.getBoundingClientRect(); |
| tooltip.style.left = (event.clientX - rect.left + 10) + 'px'; |
| tooltip.style.top = (event.clientY - rect.top + 10) + 'px'; |
| } |
| }) |
| .on('mouseleave', function() { |
| tooltip.classList.remove('visible'); |
| }); |
| |
| nodes.append('text') |
| .attr('class', 'node-label') |
| .attr('x', d => d.width / 2) |
| .attr('y', 18) |
| .attr('text-anchor', 'middle') |
| .text(d => d.label); |
| |
| nodes.append('text') |
| .attr('class', 'node-sublabel') |
| .attr('x', d => d.width / 2) |
| .attr('y', 32) |
| .attr('text-anchor', 'middle') |
| .text(d => d.sublabel); |
| |
| |
| nodes.filter(d => d.type === 'input' && d.example) |
| .each(function(d) { |
| const node = d3.select(this); |
| const lines = wrapText(d.example, d.width - 16); |
| lines.forEach((line, i) => { |
| node.append('text') |
| .attr('class', 'node-example') |
| .attr('x', d.width / 2) |
| .attr('y', 48 + i * 12) |
| .attr('text-anchor', 'middle') |
| .text(line); |
| }); |
| }); |
| |
| |
| |
| |
| nodes.filter(d => d.type === 'score' && d.aggregations) |
| .append('text') |
| .attr('class', 'node-sublabel') |
| .attr('x', d => d.width / 2) |
| .attr('y', d => d.height - 12) |
| .attr('text-anchor', 'middle') |
| .attr('font-size', '9px') |
| .text(d => `${d.aggregations.slice(0, 2).join(', ')}...`); |
| } |
| |
| render(); |
| |
| |
| if (window.ResizeObserver) { |
| const ro = new ResizeObserver(() => render()); |
| ro.observe(container); |
| } else { |
| window.addEventListener('resize', render); |
| } |
| }; |
| |
| if (document.readyState === 'loading') { |
| document.addEventListener('DOMContentLoaded', () => ensureD3(bootstrap), { once: true }); |
| } else { |
| ensureD3(bootstrap); |
| } |
| })(); |
| </script> |
|
|