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Oleg Maslov
137
benchmarks/harness/scripts/e1-aggregate.ts
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137
benchmarks/harness/scripts/e1-aggregate.ts
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#!/usr/bin/env tsx
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/**
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* E1 aggregation — Eywa answers @ OUR gpt-5 judge vs Eywa self-judge.
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* Reads e1-eywa-ourjudge.jsonl + the original Eywa JSON, emits console + markdown.
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*/
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import fs from 'node:fs';
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const EYWA_JSON =
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'D:/Projects/KorroResearch/benchmarks/eywa-artifacts/eywa-beam-sonnet46-answers.json';
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const OUT_JSONL =
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'D:/Projects/KorroResearch/benchmarks/eywa-artifacts/e1-eywa-ourjudge.jsonl';
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interface EywaRecord { id: string; cat: string; eywaNugget: number[]; }
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interface OutRecord {
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id: string; cat: string; our_raw_score: number;
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our_nugget_scores: number[]; eywa_raw: number;
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}
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const OUR_OWN_HEADLINE = 0.6482; // our own answers @ our gpt-5 judge
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function mean(xs: number[]): number { return xs.length ? xs.reduce((s, x) => s + x, 0) / xs.length : 0; }
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function pct(x: number): string { return (x * 100).toFixed(2) + '%'; }
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const eywaRecords = JSON.parse(fs.readFileSync(EYWA_JSON, 'utf-8')) as EywaRecord[];
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const eywaById = new Map(eywaRecords.map(r => [r.id, r]));
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const out: OutRecord[] = [];
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for (const line of fs.readFileSync(OUT_JSONL, 'utf-8').split('\n')) {
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const t = line.trim(); if (!t) continue;
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out.push(JSON.parse(t) as OutRecord);
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}
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// dedup by id (last wins)
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const outById = new Map(out.map(r => [r.id, r]));
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const rows = [...outById.values()];
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console.log(`[agg] scored records: ${rows.length}/700`);
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// Overall
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const ourOverall = mean(rows.map(r => r.our_raw_score));
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const eywaOverall = mean(rows.map(r => r.eywa_raw));
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// Per-category
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const cats = [...new Set(rows.map(r => r.cat))].sort();
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interface CatStat { cat: string; n: number; our: number; eywa: number; delta: number; }
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const catStats: CatStat[] = cats.map(cat => {
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const rs = rows.filter(r => r.cat === cat);
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const our = mean(rs.map(r => r.our_raw_score));
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const eywa = mean(rs.map(r => r.eywa_raw));
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return { cat, n: rs.length, our, eywa, delta: our - eywa };
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});
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// Per-nugget agreement (align our_nugget_scores to eywaNugget by index)
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let nTotal = 0, nOurLess = 0, nOurMore = 0, nEqual = 0;
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let sumOur = 0, sumEywa = 0;
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for (const r of rows) {
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const e = eywaById.get(r.id);
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if (!e) continue;
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const our = r.our_nugget_scores;
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const eyw = e.eywaNugget;
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const k = Math.min(our.length, eyw.length);
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for (let i = 0; i < k; i++) {
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nTotal++;
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sumOur += our[i]; sumEywa += eyw[i];
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if (our[i] < eyw[i]) nOurLess++;
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else if (our[i] > eyw[i]) nOurMore++;
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else nEqual++;
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}
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}
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// ── Console report ──
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console.log('\n=== OVERALL ===');
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console.log(`Eywa answers @ OUR gpt-5 judge : ${pct(ourOverall)}`);
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console.log(`Eywa self-judge (Sonnet 4.6) : ${pct(eywaOverall)} (published headline 81.45%)`);
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console.log(`Self-judge inflation delta : ${((eywaOverall - ourOverall) * 100).toFixed(2)} pp`);
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console.log(`\nHONEST SAME-JUDGE LEADERBOARD (gpt-5 nugget judge):`);
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console.log(` Eywa answers @ gpt-5 judge : ${pct(ourOverall)}`);
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console.log(` OUR answers @ gpt-5 judge : ${pct(OUR_OWN_HEADLINE)}`);
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console.log(` Eywa - ours = ${((ourOverall - OUR_OWN_HEADLINE) * 100).toFixed(2)} pp`);
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console.log('\n=== PER CATEGORY ===');
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console.log('cat'.padEnd(28), 'n'.padStart(4), 'ourJ%'.padStart(8), 'eywaSelf%'.padStart(10), 'delta_pp'.padStart(9));
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for (const c of catStats.sort((a, b) => a.delta - b.delta)) {
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console.log(
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c.cat.padEnd(28), String(c.n).padStart(4),
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pct(c.our).padStart(8), pct(c.eywa).padStart(10),
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((c.delta) * 100).toFixed(2).padStart(9),
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);
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}
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console.log('\n=== PER-NUGGET AGREEMENT ===');
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console.log(`total nuggets compared: ${nTotal}`);
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console.log(`our < eywa (we stricter): ${nOurLess} (${pct(nOurLess / nTotal)})`);
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console.log(`our > eywa (we lenient) : ${nOurMore} (${pct(nOurMore / nTotal)})`);
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console.log(`equal : ${nEqual} (${pct(nEqual / nTotal)})`);
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console.log(`mean(our) - mean(eywa) per nugget: ${((sumOur - sumEywa) / nTotal).toFixed(4)}`);
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// ── Markdown ──
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const md: string[] = [];
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md.push('# E1 — Eywa BEAM answers re-judged with OUR canonical gpt-5 nugget judge\n');
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md.push(`_Judge: gpt-5 (model id \`gpt-5\`), verbatim mem0 graded nugget prompt from \`src/beam-nugget-judge.ts\` — the SAME judge behind our published 0.6482 headline. Per-question score = mean of 0/0.5/1 nugget scores._\n`);
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md.push(`_Scored ${rows.length}/700 Eywa Sonnet-4.6 answers over ${nTotal} rubric nuggets._\n`);
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md.push('## Headline\n');
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md.push('| Metric | Value |');
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md.push('|---|---|');
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md.push(`| Eywa answers @ **our gpt-5 judge** | **${pct(ourOverall)}** |`);
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md.push(`| Eywa self-judge (Sonnet 4.6), our recompute | ${pct(eywaOverall)} |`);
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md.push(`| Eywa published headline | 81.45% |`);
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md.push(`| **Self-judge inflation** (eywa-self − our-judge) | **${((eywaOverall - ourOverall) * 100).toFixed(2)} pp** |`);
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md.push('');
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md.push('## Honest same-judge leaderboard (both @ gpt-5 nugget judge)\n');
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md.push('| System | Answers @ gpt-5 judge |');
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md.push('|---|---|');
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md.push(`| Eywa (Sonnet 4.6 answers) | **${pct(ourOverall)}** |`);
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md.push(`| Ours (published) | ${pct(OUR_OWN_HEADLINE)} |`);
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md.push(`| Gap (Eywa − ours) | ${((ourOverall - OUR_OWN_HEADLINE) * 100).toFixed(2)} pp |`);
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md.push('');
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md.push('## Per-category (n=70 each)\n');
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md.push('| Category | n | Our gpt-5 judge % | Eywa self-judge % | Delta (pp) |');
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md.push('|---|---|---|---|---|');
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for (const c of catStats.sort((a, b) => a.delta - b.delta)) {
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md.push(`| ${c.cat} | ${c.n} | ${pct(c.our)} | ${pct(c.eywa)} | ${(c.delta * 100).toFixed(2)} |`);
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}
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md.push('');
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md.push('_Delta = our-judge − eywa-self-judge. Large negative delta = Eywa self-judge inflated that category. Small delta = self-judge was honest there._\n');
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md.push('## Per-nugget judge agreement\n');
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md.push(`- Total nuggets compared: ${nTotal}`);
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md.push(`- Our score **< **Eywa (we stricter / leniency in their favor): ${nOurLess} (${pct(nOurLess / nTotal)})`);
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md.push(`- Our score **>** Eywa (we more lenient): ${nOurMore} (${pct(nOurMore / nTotal)})`);
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md.push(`- Equal: ${nEqual} (${pct(nEqual / nTotal)})`);
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md.push(`- mean(our) − mean(eywa) per nugget: **${((sumOur - sumEywa) / nTotal).toFixed(4)}**`);
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md.push('');
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fs.writeFileSync(
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'D:/Projects/KorroResearch/benchmarks/eywa-artifacts/E1-eywa-answers-ourjudge.md',
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md.join('\n'),
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);
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console.log('\n[agg] wrote E1-eywa-answers-ourjudge.md');
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