export const TRENDING_TOPICS = [ 'Eigenvalue Decomposition', 'Stochastic Calculus', 'Graph Theory', 'Fourier Transform', 'Bayesian Inference', 'Topology' ]; export const ANALYTICS_DATA = [ { name: 'Mon', searches: 400, ai: 240 }, { name: 'Tue', searches: 300, ai: 139 }, { name: 'Wed', searches: 200, ai: 980 }, { name: 'Thu', searches: 278, ai: 390 }, { name: 'Fri', searches: 189, ai: 480 }, { name: 'Sat', searches: 239, ai: 380 }, { name: 'Sun', searches: 349, ai: 430 }, ]; export const TOPIC_DISTRIBUTION = [ { name: 'Algebra', value: 400 }, { name: 'Calculus', value: 300 }, { name: 'Statistics', value: 300 }, { name: 'Discrete', value: 200 }, ]; export const COLORS = ['#534AB7', '#7C3AED', '#A78BFA', '#DDD6FE']; export const INGESTION_DATA = [ { name: 'MON', phase1: 400, phase2: 240 }, { name: 'TUE', phase1: 300, phase2: 139 }, { name: 'WED', phase1: 200, phase2: 980 }, { name: 'THU', phase1: 278, phase2: 390 }, { name: 'FRI', phase1: 189, phase2: 480 }, { name: 'SAT', phase1: 239, phase2: 380 }, { name: 'SUN', phase1: 349, phase2: 430 }, ]; export const PR_CURVE_DATA = [ { recall: 0, precision: 100 }, { recall: 10, precision: 95 }, { recall: 20, precision: 92 }, { recall: 30, precision: 88 }, { recall: 40, precision: 85 }, { recall: 50, precision: 80 }, { recall: 60, precision: 75 }, { recall: 70, precision: 68 }, { recall: 80, precision: 55 }, { recall: 90, precision: 35 }, { recall: 100, precision: 10 }, ]; export const INDEX_TERMS = [ { term: '$\\\\lambda$-calculus', frequency: '14,201', docs: ['DOC_0011', 'DOC_1290', 'DOC_5532'], others: 502 }, { term: 'Riemannian manifold', frequency: '8,912', docs: ['DOC_3311', 'DOC_0029'], others: 112 }, { term: 'Stochastic gradient', frequency: '24,110', docs: ['DOC_9921', 'DOC_1111'], others: 2401 }, { term: 'Quantum entanglement', frequency: '5,630', docs: ['DOC_7653', 'DOC_3342'], others: 89 }, { term: 'Graph Laplacian', frequency: '12,450', docs: ['DOC_4421', 'DOC_9981'], others: 312 }, { term: 'Monte Carlo', frequency: '19,230', docs: ['DOC_1211', 'DOC_2222'], others: 1205 }, ]; export const EMBEDDING_DATA = Array.from({ length: 50 }, (_, i) => ({ x: Math.round(Math.random() * 100 - 50), y: Math.round(Math.random() * 100 - 50), z: Math.round(Math.random() * 200 + 50), cluster: i < 15 ? 'Algebra' : i < 30 ? 'Calculus' : 'Statistics' }));