// Prompt versions and evaluation scores (prompt-versions-and-evaluation-scores) v1 — Prisma seed
// Synthetic sample data, CC0-1.0. Generated deterministically; re-running the
// generator with the same spec and seed reproduces this file exactly.
//
// Delegates are named after the tables (prisma.judges), which assumes models
// mapped to those table names. Rename the delegates if your models differ.
import { PrismaClient } from '@prisma/client';

const prisma = new PrismaClient();

async function main() {
    await prisma.judges.createMany({
        data: [
            { id: 1, kind: "rubric", name: "strict rubric model", score_offset: -3 },
            { id: 2, kind: "rubric", name: "balanced rubric model", score_offset: 0 },
            { id: 3, kind: "rubric", name: "lenient rubric model", score_offset: 3 },
        ],
    });
    await prisma.prompts.createMany({
        data: [
            { id: 1, name: "meeting-action-items", owner_team: "growth", created_at: new Date("2026-01-17T10:46:36Z") },
            { id: 2, name: "translation-checker", owner_team: "finance systems", created_at: new Date("2026-01-20T12:11:20Z") },
            { id: 3, name: "ticket-summary", owner_team: "growth", created_at: new Date("2026-02-23T15:01:11Z") },
            { id: 4, name: "release-note-draft", owner_team: "support tooling", created_at: new Date("2026-02-23T16:13:56Z") },
            { id: 5, name: "contract-clause-finder", owner_team: "knowledge base", created_at: new Date("2026-02-22T16:50:25Z") },
            { id: 6, name: "invoice-field-extractor", owner_team: "growth", created_at: new Date("2026-01-08T14:56:08Z") },
            { id: 7, name: "escalation-detector", owner_team: "knowledge base", created_at: new Date("2026-02-27T09:52:41Z") },
            { id: 8, name: "sql-explainer", owner_team: "knowledge base", created_at: new Date("2026-02-12T09:05:17Z") },
            { id: 9, name: "tone-softener", owner_team: "support tooling", created_at: new Date("2026-02-02T10:02:25Z") },
            { id: 10, name: "refund-eligibility-check", owner_team: "support tooling", created_at: new Date("2026-01-22T11:27:20Z") },
            { id: 11, name: "order-status-reply", owner_team: "support tooling", created_at: new Date("2026-02-26T17:38:54Z") },
            { id: 12, name: "product-description-writer", owner_team: "support tooling", created_at: new Date("2026-02-19T21:36:15Z") },
            { id: 13, name: "faq-answer", owner_team: "finance systems", created_at: new Date("2026-01-26T16:24:39Z") },
            { id: 14, name: "feedback-theme-tagger", owner_team: "growth", created_at: new Date("2026-01-24T11:24:02Z") },
        ],
    });
    await prisma.prompt_versions.createMany({
        data: [
            { id: 1, prompt_id: 5, version_no: 1, created_at: new Date("2026-02-27T07:29:13Z"), author: "Benton", change_note: "Added two worked examples to the instructions.", template_tokens: "168", underlying_quality: "52.3" },
            { id: 2, prompt_id: 9, version_no: 1, created_at: new Date("2026-02-06T01:39:34Z"), author: "Dallin", change_note: "Reordered the context so the question comes last.", template_tokens: "162", underlying_quality: "50.9" },
            { id: 3, prompt_id: 14, version_no: 1, created_at: new Date("2026-01-27T06:25:55Z"), author: "Felipa", change_note: "Moved the output format to the end of the prompt.", template_tokens: "177", underlying_quality: "55.7" },
            { id: 4, prompt_id: 11, version_no: 1, created_at: new Date("2026-03-01T01:47:06Z"), author: "Ana", change_note: "Added a refusal instruction for questions outside the product.", template_tokens: "140", underlying_quality: "59.3" },
            { id: 5, prompt_id: 6, version_no: 1, created_at: new Date("2026-01-09T15:47:04Z"), author: "Jeffery", change_note: "Split one long instruction into numbered steps.", template_tokens: "153", underlying_quality: "52.5" },
            { id: 6, prompt_id: 14, version_no: 2, created_at: new Date("2026-01-31T13:43:46Z"), author: "Joanny", change_note: "Removed an instruction that contradicted the style guide.", template_tokens: "196", underlying_quality: "51.0" },
            { id: 7, prompt_id: 14, version_no: 3, created_at: new Date("2026-02-04T19:50:26Z"), author: "Riley", change_note: "Added two worked examples to the instructions.", template_tokens: "176", underlying_quality: "52.4" },
            { id: 8, prompt_id: 11, version_no: 2, created_at: new Date("2026-03-07T22:31:09Z"), author: "Jonatan", change_note: "Listed the allowed labels explicitly.", template_tokens: "171", underlying_quality: "61.9" },
            { id: 9, prompt_id: 1, version_no: 1, created_at: new Date("2026-01-24T05:03:47Z"), author: "Dion", change_note: "Reworded the tone guidance after a review comment.", template_tokens: "143", underlying_quality: "56.7" },
            { id: 10, prompt_id: 10, version_no: 1, created_at: new Date("2026-01-23T18:57:30Z"), author: "Cortney", change_note: "Replaced the long preamble with three short rules.", template_tokens: "165", underlying_quality: "58.4" },
            { id: 11, prompt_id: 3, version_no: 1, created_at: new Date("2026-03-02T08:43:59Z"), author: "Dante", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "176", underlying_quality: "61.9" },
            { id: 12, prompt_id: 4, version_no: 1, created_at: new Date("2026-02-28T02:15:46Z"), author: "Taylor", change_note: "Added a rule for amounts that carry a currency sign.", template_tokens: "141", underlying_quality: "54.1" },
            { id: 13, prompt_id: 9, version_no: 2, created_at: new Date("2026-02-11T22:15:21Z"), author: "Jose", change_note: "Removed an instruction that contradicted the style guide.", template_tokens: "158", underlying_quality: "58.0" },
            { id: 14, prompt_id: 3, version_no: 2, created_at: new Date("2026-03-08T22:17:24Z"), author: "Santino", change_note: "Added two worked examples to the instructions.", template_tokens: "172", underlying_quality: "56.1" },
            { id: 15, prompt_id: 2, version_no: 1, created_at: new Date("2026-01-23T09:21:22Z"), author: "Kayli", change_note: "Told the model to say when the source does not contain the answer.", template_tokens: "180", underlying_quality: "53.9" },
            { id: 16, prompt_id: 8, version_no: 1, created_at: new Date("2026-02-14T17:40:17Z"), author: "Elbert", change_note: "Reworded the tone guidance after a review comment.", template_tokens: "155", underlying_quality: "53.6" },
            { id: 17, prompt_id: 10, version_no: 2, created_at: new Date("2026-01-31T07:40:36Z"), author: "Wallace", change_note: "Told the model to say when the source does not contain the answer.", template_tokens: "171", underlying_quality: "49.1" },
            { id: 18, prompt_id: 8, version_no: 2, created_at: new Date("2026-02-23T15:34:45Z"), author: "Anastasia", change_note: "Split one long instruction into numbered steps.", template_tokens: "166", underlying_quality: "56.1" },
            { id: 19, prompt_id: 7, version_no: 1, created_at: new Date("2026-03-03T04:47:03Z"), author: "Ardella", change_note: "Listed the allowed labels explicitly.", template_tokens: "155", underlying_quality: "53.7" },
            { id: 20, prompt_id: 8, version_no: 3, created_at: new Date("2026-03-03T00:38:58Z"), author: "Birdie", change_note: "Asked for a short reasoning line before the answer.", template_tokens: "184", underlying_quality: "50.7" },
            { id: 21, prompt_id: 12, version_no: 1, created_at: new Date("2026-02-24T11:13:37Z"), author: "Emily", change_note: "Removed an instruction that contradicted the style guide.", template_tokens: "181", underlying_quality: "45.9" },
            { id: 22, prompt_id: 4, version_no: 2, created_at: new Date("2026-03-10T02:07:24Z"), author: "Arjun", change_note: "Added two worked examples to the instructions.", template_tokens: "189", underlying_quality: "57.1" },
            { id: 23, prompt_id: 4, version_no: 3, created_at: new Date("2026-03-17T22:01:55Z"), author: "Verda", change_note: "Added two worked examples to the instructions.", template_tokens: "193", underlying_quality: "50.5" },
            { id: 24, prompt_id: 12, version_no: 2, created_at: new Date("2026-02-27T13:40:35Z"), author: "Sheldon", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "171", underlying_quality: "58.8" },
            { id: 25, prompt_id: 12, version_no: 3, created_at: new Date("2026-03-03T17:36:35Z"), author: "Jeanie", change_note: "Asked for a short reasoning line before the answer.", template_tokens: "196", underlying_quality: "55.8" },
            { id: 26, prompt_id: 10, version_no: 3, created_at: new Date("2026-02-07T23:19:52Z"), author: "Jacklyn", change_note: "Asked for a short reasoning line before the answer.", template_tokens: "209", underlying_quality: "55.7" },
            { id: 27, prompt_id: 7, version_no: 2, created_at: new Date("2026-03-09T02:07:39Z"), author: "Jacky", change_note: "Split one long instruction into numbered steps.", template_tokens: "195", underlying_quality: "55.8" },
            { id: 28, prompt_id: 5, version_no: 2, created_at: new Date("2026-03-05T02:29:54Z"), author: "Malachi", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "182", underlying_quality: "55.7" },
            { id: 29, prompt_id: 10, version_no: 4, created_at: new Date("2026-02-14T06:36:32Z"), author: "Matilda", change_note: "Capped the answer length at five sentences.", template_tokens: "222", underlying_quality: "58.5" },
            { id: 30, prompt_id: 4, version_no: 4, created_at: new Date("2026-03-23T08:36:12Z"), author: "Mavis", change_note: "Shortened the system text to save input tokens.", template_tokens: "230", underlying_quality: "57.6" },
            { id: 31, prompt_id: 3, version_no: 3, created_at: new Date("2026-03-13T05:36:05Z"), author: "Donavon", change_note: "Replaced the long preamble with three short rules.", template_tokens: "192", underlying_quality: "53.2" },
            { id: 32, prompt_id: 9, version_no: 3, created_at: new Date("2026-02-16T11:46:06Z"), author: "Kris", change_note: "Added two worked examples to the instructions.", template_tokens: "199", underlying_quality: "60.1" },
            { id: 33, prompt_id: 14, version_no: 4, created_at: new Date("2026-02-12T23:34:04Z"), author: "Tamia", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "229", underlying_quality: "59.6" },
            { id: 34, prompt_id: 1, version_no: 2, created_at: new Date("2026-01-28T10:28:59Z"), author: "Lorena", change_note: "Listed the allowed labels explicitly.", template_tokens: "168", underlying_quality: "58.2" },
            { id: 35, prompt_id: 5, version_no: 3, created_at: new Date("2026-03-13T13:05:51Z"), author: "Bryon", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "179", underlying_quality: "58.4" },
            { id: 36, prompt_id: 1, version_no: 3, created_at: new Date("2026-02-03T00:58:33Z"), author: "Blair", change_note: "Added a rule for amounts that carry a currency sign.", template_tokens: "193", underlying_quality: "59.2" },
            { id: 37, prompt_id: 13, version_no: 1, created_at: new Date("2026-01-31T08:19:54Z"), author: "Felipe", change_note: "Pinned the answer to a fixed JSON shape.", template_tokens: "173", underlying_quality: "51.7" },
            { id: 38, prompt_id: 12, version_no: 4, created_at: new Date("2026-03-07T04:01:51Z"), author: "Irving", change_note: "Replaced the long preamble with three short rules.", template_tokens: "203", underlying_quality: "64.3" },
            { id: 39, prompt_id: 2, version_no: 2, created_at: new Date("2026-01-30T11:18:57Z"), author: "Elinore", change_note: "Added a rule for amounts that carry a currency sign.", template_tokens: "169", underlying_quality: "50.0" },
            { id: 40, prompt_id: 14, version_no: 5, created_at: new Date("2026-02-22T00:30:07Z"), author: "Johathan", change_note: "Told the model to say when the source does not contain the answer.", template_tokens: "240", underlying_quality: "59.2" },
            { id: 41, prompt_id: 11, version_no: 3, created_at: new Date("2026-03-14T05:48:23Z"), author: "Veronica", change_note: "Added a refusal instruction for questions outside the product.", template_tokens: "181", underlying_quality: "48.3" },
            { id: 42, prompt_id: 10, version_no: 5, created_at: new Date("2026-02-20T13:21:15Z"), author: "Myrl", change_note: "Split one long instruction into numbered steps.", template_tokens: "226", underlying_quality: "62.8" },
            { id: 43, prompt_id: 14, version_no: 6, created_at: new Date("2026-02-28T11:46:15Z"), author: "Paul", change_note: "Split one long instruction into numbered steps.", template_tokens: "269", underlying_quality: "61.1" },
            { id: 44, prompt_id: 2, version_no: 3, created_at: new Date("2026-02-05T01:52:43Z"), author: "Doyle", change_note: "Asked for a short reasoning line before the answer.", template_tokens: "193", underlying_quality: "59.2" },
            { id: 45, prompt_id: 7, version_no: 3, created_at: new Date("2026-03-12T02:52:38Z"), author: "Rosemary", change_note: "Listed the allowed labels explicitly.", template_tokens: "223", underlying_quality: "59.9" },
            { id: 46, prompt_id: 6, version_no: 2, created_at: new Date("2026-01-14T07:22:14Z"), author: "Mozell", change_note: "Removed an instruction that contradicted the style guide.", template_tokens: "175", underlying_quality: "53.9" },
            { id: 47, prompt_id: 1, version_no: 4, created_at: new Date("2026-02-12T10:49:42Z"), author: "Eleanora", change_note: "Removed an instruction that contradicted the style guide.", template_tokens: "234", underlying_quality: "60.0" },
            { id: 48, prompt_id: 13, version_no: 2, created_at: new Date("2026-02-04T03:09:49Z"), author: "Mike", change_note: "Told the model to say when the source does not contain the answer.", template_tokens: "162", underlying_quality: "57.5" },
            { id: 49, prompt_id: 6, version_no: 3, created_at: new Date("2026-01-20T08:36:42Z"), author: "Kaleigh", change_note: "Listed the allowed labels explicitly.", template_tokens: "187", underlying_quality: "60.5" },
            { id: 50, prompt_id: 3, version_no: 4, created_at: new Date("2026-03-21T06:25:26Z"), author: "Flavio", change_note: "Moved the output format to the end of the prompt.", template_tokens: "222", underlying_quality: "60.5" },
            { id: 51, prompt_id: 11, version_no: 4, created_at: new Date("2026-03-21T08:33:02Z"), author: "Dexter", change_note: "Shortened the system text to save input tokens.", template_tokens: "209", underlying_quality: "57.9" },
            { id: 52, prompt_id: 7, version_no: 4, created_at: new Date("2026-03-16T00:23:21Z"), author: "Ethan", change_note: "Listed the allowed labels explicitly.", template_tokens: "210", underlying_quality: "63.3" },
            { id: 53, prompt_id: 11, version_no: 5, created_at: new Date("2026-03-25T22:15:24Z"), author: "Adella", change_note: "Asked for a short reasoning line before the answer.", template_tokens: "252", underlying_quality: "60.5" },
            { id: 54, prompt_id: 7, version_no: 5, created_at: new Date("2026-03-23T05:10:38Z"), author: "Brown", change_note: "Added two worked examples to the instructions.", template_tokens: "248", underlying_quality: "58.3" },
            { id: 55, prompt_id: 5, version_no: 4, created_at: new Date("2026-03-22T23:38:52Z"), author: "Brielle", change_note: "Told the model to say when the source does not contain the answer.", template_tokens: "199", underlying_quality: "54.3" },
            { id: 56, prompt_id: 9, version_no: 4, created_at: new Date("2026-02-25T08:10:19Z"), author: "Lenny", change_note: "Listed the allowed labels explicitly.", template_tokens: "204", underlying_quality: "60.4" },
            { id: 57, prompt_id: 3, version_no: 5, created_at: new Date("2026-03-29T09:11:10Z"), author: "Eddie", change_note: "Moved the output format to the end of the prompt.", template_tokens: "209", underlying_quality: "55.9" },
            { id: 58, prompt_id: 4, version_no: 5, created_at: new Date("2026-04-01T18:01:43Z"), author: "Kip", change_note: "Replaced the long preamble with three short rules.", template_tokens: "221", underlying_quality: "57.4" },
            { id: 59, prompt_id: 9, version_no: 5, created_at: new Date("2026-03-02T18:13:43Z"), author: "Allene", change_note: "Reworded the tone guidance after a review comment.", template_tokens: "217", underlying_quality: "63.4" },
            { id: 60, prompt_id: 13, version_no: 3, created_at: new Date("2026-02-11T02:08:27Z"), author: "Freeman", change_note: "Added two worked examples to the instructions.", template_tokens: "204", underlying_quality: "58.5" },
            { id: 61, prompt_id: 3, version_no: 6, created_at: new Date("2026-04-01T19:39:04Z"), author: "Kurtis", change_note: "Added a refusal instruction for questions outside the product.", template_tokens: "284", underlying_quality: "64.1" },
            { id: 62, prompt_id: 6, version_no: 4, created_at: new Date("2026-01-28T22:32:00Z"), author: "Nona", change_note: "Pinned the answer to a fixed JSON shape.", template_tokens: "242", underlying_quality: "63.3" },
            { id: 63, prompt_id: 9, version_no: 6, created_at: new Date("2026-03-10T00:38:41Z"), author: "Tiara", change_note: "Moved the output format to the end of the prompt.", template_tokens: "275", underlying_quality: "58.4" },
            { id: 64, prompt_id: 13, version_no: 4, created_at: new Date("2026-02-15T10:55:50Z"), author: "Nakia", change_note: "Shortened the system text to save input tokens.", template_tokens: "222", underlying_quality: "60.5" },
            { id: 65, prompt_id: 10, version_no: 6, created_at: new Date("2026-02-26T03:55:13Z"), author: "Christ", change_note: "Moved the output format to the end of the prompt.", template_tokens: "264", underlying_quality: "68.6" },
            { id: 66, prompt_id: 8, version_no: 4, created_at: new Date("2026-03-10T15:50:51Z"), author: "Robbie", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "226", underlying_quality: "58.2" },
            { id: 67, prompt_id: 12, version_no: 5, created_at: new Date("2026-03-11T05:18:13Z"), author: "Cassandra", change_note: "Listed the allowed labels explicitly.", template_tokens: "230", underlying_quality: "59.5" },
            { id: 68, prompt_id: 1, version_no: 5, created_at: new Date("2026-02-18T03:56:55Z"), author: "Kylie", change_note: "Reworded the tone guidance after a review comment.", template_tokens: "235", underlying_quality: "62.3" },
            { id: 69, prompt_id: 1, version_no: 6, created_at: new Date("2026-02-27T07:26:07Z"), author: "Trent", change_note: "Reworded the tone guidance after a review comment.", template_tokens: "252", underlying_quality: "68.6" },
            { id: 70, prompt_id: 12, version_no: 6, created_at: new Date("2026-03-17T19:12:31Z"), author: "Jesse", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "266", underlying_quality: "63.7" },
            { id: 71, prompt_id: 3, version_no: 7, created_at: new Date("2026-04-10T09:05:11Z"), author: "Rochelle", change_note: "Reordered the context so the question comes last.", template_tokens: "279", underlying_quality: "66.0" },
            { id: 72, prompt_id: 5, version_no: 5, created_at: new Date("2026-03-26T22:07:38Z"), author: "Harry", change_note: "Reworded the tone guidance after a review comment.", template_tokens: "230", underlying_quality: "68.5" },
            { id: 73, prompt_id: 2, version_no: 4, created_at: new Date("2026-02-08T17:46:03Z"), author: "Ubaldo", change_note: "Capped the answer length at five sentences.", template_tokens: "182", underlying_quality: "63.5" },
            { id: 74, prompt_id: 13, version_no: 5, created_at: new Date("2026-02-21T03:22:34Z"), author: "Kailey", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "239", underlying_quality: "65.0" },
            { id: 75, prompt_id: 8, version_no: 5, created_at: new Date("2026-03-17T15:23:15Z"), author: "Camila", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "243", underlying_quality: "63.4" },
            { id: 76, prompt_id: 11, version_no: 6, created_at: new Date("2026-04-01T09:09:11Z"), author: "Krista", change_note: "Asked for a short reasoning line before the answer.", template_tokens: "272", underlying_quality: "62.3" },
            { id: 77, prompt_id: 1, version_no: 7, created_at: new Date("2026-03-06T01:54:35Z"), author: "Moses", change_note: "Added a refusal instruction for questions outside the product.", template_tokens: "259", underlying_quality: "64.1" },
            { id: 78, prompt_id: 2, version_no: 5, created_at: new Date("2026-02-18T05:40:03Z"), author: "Merlin", change_note: "Swapped the persona line for a plain task statement.", template_tokens: "221", underlying_quality: "64.4" },
            { id: 79, prompt_id: 8, version_no: 6, created_at: new Date("2026-03-26T12:02:42Z"), author: "Millie", change_note: "Added a refusal instruction for questions outside the product.", template_tokens: "267", underlying_quality: "65.9" },
            { id: 80, prompt_id: 10, version_no: 7, created_at: new Date("2026-03-01T19:52:52Z"), author: "Kade", change_note: "Added a refusal instruction for questions outside the product.", template_tokens: "276", underlying_quality: "62.4" },
            { id: 81, prompt_id: 14, version_no: 7, created_at: new Date("2026-03-05T23:32:33Z"), author: "Taya", change_note: "Split one long instruction into numbered steps.", template_tokens: "277", underlying_quality: "58.0" },
            { id: 82, prompt_id: 9, version_no: 7, created_at: new Date("2026-03-17T18:59:25Z"), author: "Lawrence", change_note: "Listed the allowed labels explicitly.", template_tokens: "258", underlying_quality: "64.7" },
        ],
    });
    await prisma.eval_runs.createMany({
        data: [
            { id: 1, version_id: 24, prompt_id: 12, run_at: new Date("2026-02-27T19:07:12Z"), judge_id: 1, eval_set: "golden set", cases_scored: 97, expected_score: "55.8" },
            { id: 2, version_id: 70, prompt_id: 12, run_at: new Date("2026-03-18T04:39:10Z"), judge_id: 3, eval_set: "edge cases", cases_scored: 104, expected_score: "66.7" },
            { id: 3, version_id: 28, prompt_id: 5, run_at: new Date("2026-03-05T04:13:28Z"), judge_id: 2, eval_set: "golden set", cases_scored: 108, expected_score: "55.7" },
            { id: 4, version_id: 48, prompt_id: 13, run_at: new Date("2026-02-04T06:20:21Z"), judge_id: 2, eval_set: "production sample", cases_scored: 99, expected_score: "57.5" },
            { id: 5, version_id: 62, prompt_id: 6, run_at: new Date("2026-01-29T09:20:26Z"), judge_id: 3, eval_set: "golden set", cases_scored: 109, expected_score: "66.3" },
            { id: 6, version_id: 73, prompt_id: 2, run_at: new Date("2026-02-09T04:04:54Z"), judge_id: 1, eval_set: "production sample", cases_scored: 97, expected_score: "60.5" },
            { id: 7, version_id: 64, prompt_id: 13, run_at: new Date("2026-02-15T15:09:57Z"), judge_id: 2, eval_set: "production sample", cases_scored: 85, expected_score: "60.5" },
            { id: 8, version_id: 76, prompt_id: 11, run_at: new Date("2026-04-01T12:27:46Z"), judge_id: 1, eval_set: "edge cases", cases_scored: 58, expected_score: "59.3" },
            { id: 9, version_id: 19, prompt_id: 7, run_at: new Date("2026-03-03T14:05:40Z"), judge_id: 2, eval_set: "edge cases", cases_scored: 41, expected_score: "53.7" },
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            { id: 119, version_id: 80, prompt_id: 10, run_at: new Date("2026-03-02T06:34:02Z"), judge_id: 2, eval_set: "edge cases", cases_scored: 46, expected_score: "62.4" },
            { id: 120, version_id: 67, prompt_id: 12, run_at: new Date("2026-03-11T11:21:20Z"), judge_id: 3, eval_set: "golden set", cases_scored: 64, expected_score: "62.5" },
            { id: 121, version_id: 17, prompt_id: 10, run_at: new Date("2026-01-31T22:51:52Z"), judge_id: 2, eval_set: "golden set", cases_scored: 116, expected_score: "49.1" },
            { id: 122, version_id: 68, prompt_id: 1, run_at: new Date("2026-02-19T12:25:45Z"), judge_id: 2, eval_set: "production sample", cases_scored: 44, expected_score: "62.3" },
            { id: 123, version_id: 38, prompt_id: 12, run_at: new Date("2026-03-07T15:38:04Z"), judge_id: 1, eval_set: "production sample", cases_scored: 96, expected_score: "61.3" },
            { id: 124, version_id: 33, prompt_id: 14, run_at: new Date("2026-02-13T10:51:42Z"), judge_id: 1, eval_set: "production sample", cases_scored: 100, expected_score: "56.6" },
            { id: 125, version_id: 11, prompt_id: 3, run_at: new Date("2026-03-02T15:17:53Z"), judge_id: 3, eval_set: "golden set", cases_scored: 120, expected_score: "64.9" },
            { id: 126, version_id: 76, prompt_id: 11, run_at: new Date("2026-04-01T19:45:19Z"), judge_id: 1, eval_set: "production sample", cases_scored: 97, expected_score: "59.3" },
            { id: 127, version_id: 27, prompt_id: 7, run_at: new Date("2026-03-09T09:15:58Z"), judge_id: 1, eval_set: "production sample", cases_scored: 80, expected_score: "52.8" },
            { id: 128, version_id: 2, prompt_id: 9, run_at: new Date("2026-02-07T04:28:30Z"), judge_id: 1, eval_set: "golden set", cases_scored: 70, expected_score: "47.9" },
            { id: 129, version_id: 19, prompt_id: 7, run_at: new Date("2026-03-03T22:09:31Z"), judge_id: 2, eval_set: "golden set", cases_scored: 106, expected_score: "53.7" },
            { id: 130, version_id: 31, prompt_id: 3, run_at: new Date("2026-03-13T06:54:34Z"), judge_id: 2, eval_set: "production sample", cases_scored: 113, expected_score: "53.2" },
            { id: 131, version_id: 59, prompt_id: 9, run_at: new Date("2026-03-03T08:44:03Z"), judge_id: 2, eval_set: "production sample", cases_scored: 55, expected_score: "63.4" },
            { id: 132, version_id: 78, prompt_id: 2, run_at: new Date("2026-02-18T22:09:56Z"), judge_id: 3, eval_set: "golden set", cases_scored: 97, expected_score: "67.4" },
            { id: 133, version_id: 26, prompt_id: 10, run_at: new Date("2026-02-08T14:21:13Z"), judge_id: 2, eval_set: "production sample", cases_scored: 47, expected_score: "55.7" },
            { id: 134, version_id: 4, prompt_id: 11, run_at: new Date("2026-03-01T18:15:44Z"), judge_id: 3, eval_set: "golden set", cases_scored: 68, expected_score: "62.3" },
            { id: 135, version_id: 57, prompt_id: 3, run_at: new Date("2026-03-29T15:36:20Z"), judge_id: 2, eval_set: "edge cases", cases_scored: 95, expected_score: "55.9" },
            { id: 136, version_id: 69, prompt_id: 1, run_at: new Date("2026-02-28T05:19:25Z"), judge_id: 1, eval_set: "production sample", cases_scored: 58, expected_score: "65.6" },
            { id: 137, version_id: 63, prompt_id: 9, run_at: new Date("2026-03-10T10:55:31Z"), judge_id: 1, eval_set: "edge cases", cases_scored: 78, expected_score: "55.4" },
            { id: 138, version_id: 29, prompt_id: 10, run_at: new Date("2026-02-14T14:03:20Z"), judge_id: 1, eval_set: "golden set", cases_scored: 77, expected_score: "55.5" },
            { id: 139, version_id: 67, prompt_id: 12, run_at: new Date("2026-03-11T20:34:09Z"), judge_id: 1, eval_set: "production sample", cases_scored: 117, expected_score: "56.5" },
            { id: 140, version_id: 30, prompt_id: 4, run_at: new Date("2026-03-24T05:44:47Z"), judge_id: 2, eval_set: "golden set", cases_scored: 59, expected_score: "57.6" },
            { id: 141, version_id: 16, prompt_id: 8, run_at: new Date("2026-02-15T04:29:06Z"), judge_id: 2, eval_set: "edge cases", cases_scored: 104, expected_score: "53.6" },
            { id: 142, version_id: 16, prompt_id: 8, run_at: new Date("2026-02-15T06:09:26Z"), judge_id: 2, eval_set: "production sample", cases_scored: 106, expected_score: "53.6" },
            { id: 143, version_id: 42, prompt_id: 10, run_at: new Date("2026-02-20T20:09:01Z"), judge_id: 3, eval_set: "production sample", cases_scored: 61, expected_score: "65.8" },
            { id: 144, version_id: 21, prompt_id: 12, run_at: new Date("2026-02-24T13:44:47Z"), judge_id: 3, eval_set: "golden set", cases_scored: 110, expected_score: "48.9" },
            { id: 145, version_id: 40, prompt_id: 14, run_at: new Date("2026-02-22T03:34:01Z"), judge_id: 2, eval_set: "production sample", cases_scored: 92, expected_score: "59.2" },
            { id: 146, version_id: 5, prompt_id: 6, run_at: new Date("2026-01-09T19:31:56Z"), judge_id: 1, eval_set: "production sample", cases_scored: 59, expected_score: "49.5" },
            { id: 147, version_id: 72, prompt_id: 5, run_at: new Date("2026-03-27T06:14:03Z"), judge_id: 1, eval_set: "production sample", cases_scored: 41, expected_score: "65.5" },
            { id: 148, version_id: 11, prompt_id: 3, run_at: new Date("2026-03-02T21:20:53Z"), judge_id: 1, eval_set: "edge cases", cases_scored: 70, expected_score: "58.9" },
            { id: 149, version_id: 81, prompt_id: 14, run_at: new Date("2026-03-06T13:46:25Z"), judge_id: 1, eval_set: "production sample", cases_scored: 81, expected_score: "55.0" },
            { id: 150, version_id: 29, prompt_id: 10, run_at: new Date("2026-02-15T01:32:37Z"), judge_id: 2, eval_set: "golden set", cases_scored: 44, expected_score: "58.5" },
            { id: 151, version_id: 12, prompt_id: 4, run_at: new Date("2026-02-28T04:14:28Z"), judge_id: 2, eval_set: "production sample", cases_scored: 64, expected_score: "54.1" },
            { id: 152, version_id: 22, prompt_id: 4, run_at: new Date("2026-03-10T03:23:47Z"), judge_id: 2, eval_set: "golden set", cases_scored: 66, expected_score: "57.1" },
            { id: 153, version_id: 5, prompt_id: 6, run_at: new Date("2026-01-10T03:11:55Z"), judge_id: 1, eval_set: "production sample", cases_scored: 43, expected_score: "49.5" },
            { id: 154, version_id: 54, prompt_id: 7, run_at: new Date("2026-03-23T12:56:45Z"), judge_id: 2, eval_set: "golden set", cases_scored: 52, expected_score: "58.3" },
            { id: 155, version_id: 34, prompt_id: 1, run_at: new Date("2026-01-28T19:39:06Z"), judge_id: 2, eval_set: "golden set", cases_scored: 65, expected_score: "58.2" },
            { id: 156, version_id: 39, prompt_id: 2, run_at: new Date("2026-01-30T22:05:38Z"), judge_id: 2, eval_set: "production sample", cases_scored: 82, expected_score: "50.0" },
            { id: 157, version_id: 40, prompt_id: 14, run_at: new Date("2026-02-22T15:44:10Z"), judge_id: 1, eval_set: "golden set", cases_scored: 105, expected_score: "56.2" },
            { id: 158, version_id: 76, prompt_id: 11, run_at: new Date("2026-04-02T00:04:46Z"), judge_id: 2, eval_set: "golden set", cases_scored: 101, expected_score: "62.3" },
            { id: 159, version_id: 43, prompt_id: 14, run_at: new Date("2026-03-01T01:10:38Z"), judge_id: 2, eval_set: "golden set", cases_scored: 62, expected_score: "61.1" },
            { id: 160, version_id: 42, prompt_id: 10, run_at: new Date("2026-02-21T04:13:23Z"), judge_id: 1, eval_set: "golden set", cases_scored: 89, expected_score: "59.8" },
            { id: 161, version_id: 49, prompt_id: 6, run_at: new Date("2026-01-20T19:20:11Z"), judge_id: 1, eval_set: "edge cases", cases_scored: 64, expected_score: "57.5" },
            { id: 162, version_id: 74, prompt_id: 13, run_at: new Date("2026-02-21T08:53:32Z"), judge_id: 1, eval_set: "production sample", cases_scored: 93, expected_score: "62.0" },
            { id: 163, version_id: 12, prompt_id: 4, run_at: new Date("2026-02-28T15:00:48Z"), judge_id: 3, eval_set: "golden set", cases_scored: 114, expected_score: "57.1" },
            { id: 164, version_id: 44, prompt_id: 2, run_at: new Date("2026-02-05T20:02:03Z"), judge_id: 3, eval_set: "golden set", cases_scored: 119, expected_score: "62.2" },
            { id: 165, version_id: 7, prompt_id: 14, run_at: new Date("2026-02-05T12:34:47Z"), judge_id: 2, eval_set: "edge cases", cases_scored: 61, expected_score: "52.4" },
            { id: 166, version_id: 82, prompt_id: 9, run_at: new Date("2026-03-18T06:20:25Z"), judge_id: 2, eval_set: "production sample", cases_scored: 50, expected_score: "64.7" },
            { id: 167, version_id: 9, prompt_id: 1, run_at: new Date("2026-01-24T07:15:22Z"), judge_id: 2, eval_set: "golden set", cases_scored: 78, expected_score: "56.7" },
            { id: 168, version_id: 21, prompt_id: 12, run_at: new Date("2026-02-24T18:42:55Z"), judge_id: 1, eval_set: "production sample", cases_scored: 116, expected_score: "42.9" },
            { id: 169, version_id: 23, prompt_id: 4, run_at: new Date("2026-03-18T18:19:10Z"), judge_id: 1, eval_set: "production sample", cases_scored: 69, expected_score: "47.5" },
            { id: 170, version_id: 20, prompt_id: 8, run_at: new Date("2026-03-04T00:33:00Z"), judge_id: 1, eval_set: "production sample", cases_scored: 100, expected_score: "47.7" },
            { id: 171, version_id: 55, prompt_id: 5, run_at: new Date("2026-03-23T09:56:48Z"), judge_id: 2, eval_set: "edge cases", cases_scored: 65, expected_score: "54.3" },
            { id: 172, version_id: 3, prompt_id: 14, run_at: new Date("2026-01-27T16:24:41Z"), judge_id: 2, eval_set: "production sample", cases_scored: 69, expected_score: "55.7" },
            { id: 173, version_id: 31, prompt_id: 3, run_at: new Date("2026-03-13T14:22:34Z"), judge_id: 1, eval_set: "golden set", cases_scored: 114, expected_score: "50.2" },
            { id: 174, version_id: 47, prompt_id: 1, run_at: new Date("2026-02-13T00:35:22Z"), judge_id: 1, eval_set: "edge cases", cases_scored: 106, expected_score: "57.0" },
            { id: 175, version_id: 9, prompt_id: 1, run_at: new Date("2026-01-24T14:03:15Z"), judge_id: 1, eval_set: "golden set", cases_scored: 90, expected_score: "53.7" },
            { id: 176, version_id: 11, prompt_id: 3, run_at: new Date("2026-03-03T10:10:56Z"), judge_id: 2, eval_set: "golden set", cases_scored: 74, expected_score: "61.9" },
            { id: 177, version_id: 78, prompt_id: 2, run_at: new Date("2026-02-19T04:48:19Z"), judge_id: 2, eval_set: "production sample", cases_scored: 61, expected_score: "64.4" },
            { id: 178, version_id: 27, prompt_id: 7, run_at: new Date("2026-03-09T11:43:14Z"), judge_id: 1, eval_set: "production sample", cases_scored: 41, expected_score: "52.8" },
            { id: 179, version_id: 58, prompt_id: 4, run_at: new Date("2026-04-02T14:52:48Z"), judge_id: 2, eval_set: "production sample", cases_scored: 72, expected_score: "57.4" },
            { id: 180, version_id: 52, prompt_id: 7, run_at: new Date("2026-03-16T14:13:37Z"), judge_id: 2, eval_set: "production sample", cases_scored: 77, expected_score: "63.3" },
            { id: 181, version_id: 12, prompt_id: 4, run_at: new Date("2026-03-01T02:36:22Z"), judge_id: 1, eval_set: "edge cases", cases_scored: 109, expected_score: "51.1" },
            { id: 182, version_id: 71, prompt_id: 3, run_at: new Date("2026-04-11T00:07:25Z"), judge_id: 2, eval_set: "golden set", cases_scored: 42, expected_score: "66.0" },
            { id: 183, version_id: 55, prompt_id: 5, run_at: new Date("2026-03-23T15:15:03Z"), judge_id: 2, eval_set: "golden set", cases_scored: 99, expected_score: "54.3" },
            { id: 184, version_id: 50, prompt_id: 3, run_at: new Date("2026-03-21T13:44:58Z"), judge_id: 3, eval_set: "golden set", cases_scored: 100, expected_score: "63.5" },
            { id: 185, version_id: 35, prompt_id: 5, run_at: new Date("2026-03-13T22:57:18Z"), judge_id: 1, eval_set: "edge cases", cases_scored: 117, expected_score: "55.4" },
            { id: 186, version_id: 49, prompt_id: 6, run_at: new Date("2026-01-21T04:33:28Z"), judge_id: 3, eval_set: "edge cases", cases_scored: 57, expected_score: "63.5" },
            { id: 187, version_id: 45, prompt_id: 7, run_at: new Date("2026-03-12T15:49:19Z"), judge_id: 2, eval_set: "production sample", cases_scored: 55, expected_score: "59.9" },
            { id: 188, version_id: 79, prompt_id: 8, run_at: new Date("2026-03-26T23:19:30Z"), judge_id: 3, eval_set: "golden set", cases_scored: 116, expected_score: "68.9" },
            { id: 189, version_id: 6, prompt_id: 14, run_at: new Date("2026-02-01T02:48:46Z"), judge_id: 3, eval_set: "production sample", cases_scored: 90, expected_score: "54.0" },
            { id: 190, version_id: 63, prompt_id: 9, run_at: new Date("2026-03-10T12:59:29Z"), judge_id: 2, eval_set: "production sample", cases_scored: 112, expected_score: "58.4" },
            { id: 191, version_id: 50, prompt_id: 3, run_at: new Date("2026-03-21T19:54:28Z"), judge_id: 1, eval_set: "production sample", cases_scored: 111, expected_score: "57.5" },
            { id: 192, version_id: 75, prompt_id: 8, run_at: new Date("2026-03-18T10:03:20Z"), judge_id: 2, eval_set: "production sample", cases_scored: 72, expected_score: "63.4" },
            { id: 193, version_id: 24, prompt_id: 12, run_at: new Date("2026-02-28T03:10:49Z"), judge_id: 2, eval_set: "production sample", cases_scored: 46, expected_score: "58.8" },
            { id: 194, version_id: 25, prompt_id: 12, run_at: new Date("2026-03-04T08:47:57Z"), judge_id: 2, eval_set: "edge cases", cases_scored: 43, expected_score: "55.8" },
            { id: 195, version_id: 22, prompt_id: 4, run_at: new Date("2026-03-10T15:20:01Z"), judge_id: 1, eval_set: "edge cases", cases_scored: 103, expected_score: "54.1" },
            { id: 196, version_id: 10, prompt_id: 10, run_at: new Date("2026-01-24T00:26:14Z"), judge_id: 1, eval_set: "edge cases", cases_scored: 64, expected_score: "55.4" },
            { id: 197, version_id: 48, prompt_id: 13, run_at: new Date("2026-02-04T09:40:26Z"), judge_id: 2, eval_set: "production sample", cases_scored: 115, expected_score: "57.5" },
        ],
    });
    await prisma.eval_scores.createMany({
        data: [
            { id: 1, run_id: 185, metric: "accuracy", noise: "-0.2", score: "55.2" },
            { id: 2, run_id: 189, metric: "accuracy", noise: "1.5", score: "55.5" },
            { id: 3, run_id: 130, metric: "accuracy", noise: "-4.5", score: "48.7" },
            { id: 4, run_id: 173, metric: "accuracy", noise: "0.4", score: "50.6" },
            { id: 5, run_id: 151, metric: "accuracy", noise: "-0.4", score: "53.7" },
            { id: 6, run_id: 141, metric: "accuracy", noise: "-0.1", score: "53.5" },
            { id: 7, run_id: 128, metric: "accuracy", noise: "0.7", score: "48.6" },
            { id: 8, run_id: 44, metric: "accuracy", noise: "-0.5", score: "57.8" },
            { id: 9, run_id: 107, metric: "accuracy", noise: "0.3", score: "65.0" },
            { id: 10, run_id: 34, metric: "accuracy", noise: "-2.0", score: "64.4" },
            { id: 11, run_id: 159, metric: "accuracy", noise: "-0.2", score: "60.9" },
            { id: 12, run_id: 175, metric: "accuracy", noise: "-1.1", score: "52.6" },
            { id: 13, run_id: 155, metric: "accuracy", noise: "-2.2", score: "56.0" },
            { id: 14, run_id: 73, metric: "accuracy", noise: "0.9", score: "61.2" },
            { id: 15, run_id: 91, metric: "accuracy", noise: "2.3", score: "64.7" },
            { id: 16, run_id: 40, metric: "accuracy", noise: "2.1", score: "52.8" },
            { id: 17, run_id: 18, metric: "accuracy", noise: "-0.2", score: "65.7" },
            { id: 18, run_id: 81, metric: "accuracy", noise: "0.1", score: "65.7" },
            { id: 19, run_id: 18, metric: "format validity", noise: "1.5", score: "67.4" },
            { id: 20, run_id: 126, metric: "accuracy", noise: "-0.5", score: "58.8" },
            { id: 21, run_id: 22, metric: "accuracy", noise: "-2.3", score: "53.8" },
            { id: 22, run_id: 182, metric: "accuracy", noise: "-2.2", score: "63.8" },
            { id: 23, run_id: 134, metric: "accuracy", noise: "1.7", score: "64.0" },
            { id: 24, run_id: 33, metric: "accuracy", noise: "-1.5", score: "65.6" },
            { id: 25, run_id: 17, metric: "accuracy", noise: "-1.0", score: "60.2" },
            { id: 26, run_id: 61, metric: "accuracy", noise: "-3.0", score: "63.0" },
            { id: 27, run_id: 148, metric: "accuracy", noise: "2.2", score: "61.1" },
            { id: 28, run_id: 26, metric: "accuracy", noise: "3.7", score: "64.7" },
            { id: 29, run_id: 53, metric: "accuracy", noise: "-2.7", score: "57.7" },
            { id: 30, run_id: 27, metric: "accuracy", noise: "0.8", score: "61.2" },
            { id: 31, run_id: 157, metric: "accuracy", noise: "1.9", score: "58.1" },
            { id: 32, run_id: 71, metric: "accuracy", noise: "2.8", score: "56.7" },
            { id: 33, run_id: 29, metric: "accuracy", noise: "0.1", score: "55.9" },
            { id: 34, run_id: 182, metric: "format validity", noise: "-2.6", score: "63.4" },
            { id: 35, run_id: 142, metric: "accuracy", noise: "-3.4", score: "50.2" },
            { id: 36, run_id: 194, metric: "accuracy", noise: "0.1", score: "55.9" },
            { id: 37, run_id: 79, metric: "accuracy", noise: "1.5", score: "49.2" },
            { id: 38, run_id: 37, metric: "accuracy", noise: "-2.2", score: "52.8" },
            { id: 39, run_id: 125, metric: "accuracy", noise: "-1.4", score: "63.5" },
            { id: 40, run_id: 145, metric: "accuracy", noise: "0.0", score: "59.2" },
            { id: 41, run_id: 52, metric: "accuracy", noise: "1.3", score: "62.4" },
            { id: 42, run_id: 76, metric: "accuracy", noise: "-0.4", score: "56.5" },
            { id: 43, run_id: 165, metric: "accuracy", noise: "0.2", score: "52.6" },
            { id: 44, run_id: 167, metric: "accuracy", noise: "2.7", score: "59.4" },
            { id: 45, run_id: 190, metric: "accuracy", noise: "2.2", score: "60.6" },
            { id: 46, run_id: 116, metric: "accuracy", noise: "-0.8", score: "55.4" },
            { id: 47, run_id: 118, metric: "accuracy", noise: "1.9", score: "55.8" },
            { id: 48, run_id: 104, metric: "accuracy", noise: "-0.3", score: "52.4" },
            { id: 49, run_id: 111, metric: "accuracy", noise: "2.1", score: "61.0" },
            { id: 50, run_id: 121, metric: "accuracy", noise: "2.1", score: "51.2" },
            { id: 51, run_id: 5, metric: "accuracy", noise: "1.4", score: "67.7" },
            { id: 52, run_id: 46, metric: "accuracy", noise: "-2.6", score: "52.1" },
            { id: 53, run_id: 192, metric: "accuracy", noise: "0.7", score: "64.1" },
            { id: 54, run_id: 43, metric: "accuracy", noise: "-0.7", score: "65.7" },
            { id: 55, run_id: 71, metric: "format validity", noise: "0.1", score: "54.0" },
            { id: 56, run_id: 64, metric: "accuracy", noise: "1.8", score: "51.8" },
            { id: 57, run_id: 14, metric: "accuracy", noise: "2.2", score: "56.1" },
            { id: 58, run_id: 11, metric: "accuracy", noise: "0.2", score: "68.7" },
            { id: 59, run_id: 35, metric: "accuracy", noise: "0.9", score: "46.2" },
            { id: 60, run_id: 160, metric: "accuracy", noise: "-0.5", score: "59.3" },
            { id: 61, run_id: 123, metric: "accuracy", noise: "0.0", score: "61.3" },
            { id: 62, run_id: 60, metric: "accuracy", noise: "3.2", score: "51.1" },
            { id: 63, run_id: 4, metric: "accuracy", noise: "-0.9", score: "56.6" },
            { id: 64, run_id: 40, metric: "format validity", noise: "-2.3", score: "48.4" },
            { id: 65, run_id: 6, metric: "accuracy", noise: "-0.8", score: "59.7" },
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            { id: 299, run_id: 115, metric: "accuracy", noise: "-0.6", score: "47.7" },
            { id: 300, run_id: 135, metric: "groundedness", noise: "3.1", score: "59.0" },
            { id: 301, run_id: 177, metric: "accuracy", noise: "-0.8", score: "63.6" },
            { id: 302, run_id: 55, metric: "groundedness", noise: "1.1", score: "50.5" },
            { id: 303, run_id: 141, metric: "conciseness", noise: "1.6", score: "55.2" },
            { id: 304, run_id: 153, metric: "accuracy", noise: "2.6", score: "52.1" },
            { id: 305, run_id: 56, metric: "format validity", noise: "0.2", score: "54.6" },
            { id: 306, run_id: 80, metric: "groundedness", noise: "1.4", score: "65.7" },
            { id: 307, run_id: 167, metric: "groundedness", noise: "-0.8", score: "55.9" },
            { id: 308, run_id: 139, metric: "groundedness", noise: "-0.3", score: "56.2" },
            { id: 309, run_id: 166, metric: "format validity", noise: "2.0", score: "66.7" },
            { id: 310, run_id: 151, metric: "groundedness", noise: "-0.5", score: "53.6" },
            { id: 311, run_id: 182, metric: "conciseness", noise: "-1.3", score: "64.7" },
            { id: 312, run_id: 105, metric: "accuracy", noise: "0.2", score: "55.9" },
            { id: 313, run_id: 28, metric: "format validity", noise: "-2.5", score: "53.7" },
            { id: 314, run_id: 43, metric: "format validity", noise: "-0.9", score: "65.5" },
            { id: 315, run_id: 156, metric: "groundedness", noise: "2.2", score: "52.2" },
            { id: 316, run_id: 10, metric: "accuracy", noise: "1.7", score: "63.6" },
            { id: 317, run_id: 158, metric: "accuracy", noise: "-1.8", score: "60.5" },
            { id: 318, run_id: 37, metric: "format validity", noise: "-0.2", score: "54.8" },
            { id: 319, run_id: 129, metric: "accuracy", noise: "-1.6", score: "52.1" },
            { id: 320, run_id: 177, metric: "format validity", noise: "-1.6", score: "62.8" },
            { id: 321, run_id: 155, metric: "groundedness", noise: "1.5", score: "59.7" },
            { id: 322, run_id: 126, metric: "groundedness", noise: "-2.0", score: "57.3" },
            { id: 323, run_id: 157, metric: "conciseness", noise: "-3.3", score: "52.9" },
            { id: 324, run_id: 112, metric: "groundedness", noise: "1.4", score: "58.9" },
            { id: 325, run_id: 29, metric: "groundedness", noise: "-0.1", score: "55.7" },
            { id: 326, run_id: 24, metric: "format validity", noise: "-3.6", score: "59.3" },
            { id: 327, run_id: 188, metric: "format validity", noise: "0.1", score: "69.0" },
            { id: 328, run_id: 183, metric: "accuracy", noise: "0.2", score: "54.5" },
            { id: 329, run_id: 58, metric: "format validity", noise: "-1.9", score: "56.0" },
            { id: 330, run_id: 144, metric: "groundedness", noise: "0.8", score: "49.7" },
            { id: 331, run_id: 109, metric: "format validity", noise: "1.2", score: "50.5" },
            { id: 332, run_id: 190, metric: "format validity", noise: "1.1", score: "59.5" },
            { id: 333, run_id: 165, metric: "groundedness", noise: "-1.1", score: "51.3" },
            { id: 334, run_id: 137, metric: "format validity", noise: "0.2", score: "55.6" },
            { id: 335, run_id: 94, metric: "format validity", noise: "-0.3", score: "55.6" },
            { id: 336, run_id: 131, metric: "accuracy", noise: "-1.5", score: "61.9" },
            { id: 337, run_id: 187, metric: "conciseness", noise: "-0.3", score: "59.6" },
            { id: 338, run_id: 51, metric: "format validity", noise: "0.7", score: "72.3" },
            { id: 339, run_id: 183, metric: "format validity", noise: "2.5", score: "56.8" },
            { id: 340, run_id: 122, metric: "accuracy", noise: "1.7", score: "64.0" },
            { id: 341, run_id: 135, metric: "conciseness", noise: "-0.2", score: "55.7" },
            { id: 342, run_id: 110, metric: "groundedness", noise: "2.4", score: "62.5" },
            { id: 343, run_id: 102, metric: "format validity", noise: "-0.4", score: "58.0" },
            { id: 344, run_id: 194, metric: "groundedness", noise: "-0.6", score: "55.2" },
            { id: 345, run_id: 129, metric: "format validity", noise: "-0.3", score: "53.4" },
            { id: 346, run_id: 176, metric: "accuracy", noise: "1.7", score: "63.6" },
            { id: 347, run_id: 183, metric: "groundedness", noise: "2.4", score: "56.7" },
            { id: 348, run_id: 167, metric: "conciseness", noise: "1.4", score: "58.1" },
            { id: 349, run_id: 174, metric: "accuracy", noise: "-0.2", score: "56.8" },
            { id: 350, run_id: 168, metric: "format validity", noise: "-1.6", score: "41.3" },
            { id: 351, run_id: 94, metric: "groundedness", noise: "-4.1", score: "51.8" },
            { id: 352, run_id: 103, metric: "conciseness", noise: "-1.0", score: "55.1" },
            { id: 353, run_id: 173, metric: "format validity", noise: "1.1", score: "51.3" },
            { id: 354, run_id: 155, metric: "conciseness", noise: "1.0", score: "59.2" },
            { id: 355, run_id: 185, metric: "groundedness", noise: "-1.2", score: "54.2" },
            { id: 356, run_id: 46, metric: "groundedness", noise: "-1.5", score: "53.2" },
            { id: 357, run_id: 123, metric: "conciseness", noise: "-1.2", score: "60.1" },
            { id: 358, run_id: 12, metric: "format validity", noise: "2.0", score: "58.7" },
            { id: 359, run_id: 179, metric: "format validity", noise: "-1.6", score: "55.8" },
            { id: 360, run_id: 83, metric: "format validity", noise: "0.5", score: "58.0" },
            { id: 361, run_id: 102, metric: "groundedness", noise: "-1.5", score: "56.9" },
            { id: 362, run_id: 183, metric: "conciseness", noise: "1.8", score: "56.1" },
            { id: 363, run_id: 176, metric: "format validity", noise: "2.1", score: "64.0" },
            { id: 364, run_id: 98, metric: "format validity", noise: "-1.0", score: "51.1" },
            { id: 365, run_id: 119, metric: "groundedness", noise: "-1.6", score: "60.8" },
            { id: 366, run_id: 169, metric: "groundedness", noise: "2.3", score: "49.8" },
            { id: 367, run_id: 6, metric: "groundedness", noise: "-1.5", score: "59.0" },
            { id: 368, run_id: 153, metric: "format validity", noise: "0.3", score: "49.8" },
            { id: 369, run_id: 31, metric: "groundedness", noise: "1.9", score: "62.2" },
            { id: 370, run_id: 87, metric: "accuracy", noise: "0.4", score: "49.7" },
            { id: 371, run_id: 150, metric: "groundedness", noise: "2.0", score: "60.5" },
            { id: 372, run_id: 106, metric: "accuracy", noise: "0.7", score: "50.2" },
            { id: 373, run_id: 65, metric: "format validity", noise: "1.8", score: "59.3" },
            { id: 374, run_id: 136, metric: "accuracy", noise: "0.0", score: "65.6" },
            { id: 375, run_id: 164, metric: "format validity", noise: "0.2", score: "62.4" },
            { id: 376, run_id: 69, metric: "format validity", noise: "-1.1", score: "56.3" },
            { id: 377, run_id: 128, metric: "groundedness", noise: "-0.1", score: "47.8" },
            { id: 378, run_id: 90, metric: "accuracy", noise: "-0.9", score: "64.7" },
            { id: 379, run_id: 146, metric: "accuracy", noise: "-2.0", score: "47.5" },
            { id: 380, run_id: 38, metric: "format validity", noise: "-4.5", score: "51.2" },
            { id: 381, run_id: 57, metric: "format validity", noise: "1.2", score: "66.7" },
            { id: 382, run_id: 27, metric: "groundedness", noise: "1.3", score: "61.7" },
            { id: 383, run_id: 111, metric: "groundedness", noise: "0.2", score: "59.1" },
            { id: 384, run_id: 59, metric: "groundedness", noise: "0.5", score: "63.8" },
            { id: 385, run_id: 175, metric: "conciseness", noise: "-0.7", score: "53.0" },
            { id: 386, run_id: 64, metric: "format validity", noise: "0.0", score: "50.0" },
            { id: 387, run_id: 55, metric: "conciseness", noise: "-0.7", score: "48.7" },
            { id: 388, run_id: 26, metric: "conciseness", noise: "-0.5", score: "60.5" },
            { id: 389, run_id: 193, metric: "accuracy", noise: "-0.4", score: "58.4" },
            { id: 390, run_id: 34, metric: "conciseness", noise: "-3.6", score: "62.8" },
            { id: 391, run_id: 52, metric: "groundedness", noise: "-0.4", score: "60.7" },
            { id: 392, run_id: 179, metric: "groundedness", noise: "3.5", score: "60.9" },
            { id: 393, run_id: 118, metric: "groundedness", noise: "2.2", score: "56.1" },
            { id: 394, run_id: 2, metric: "format validity", noise: "-0.3", score: "66.4" },
            { id: 395, run_id: 172, metric: "groundedness", noise: "3.3", score: "59.0" },
            { id: 396, run_id: 115, metric: "format validity", noise: "-1.3", score: "47.0" },
            { id: 397, run_id: 56, metric: "groundedness", noise: "0.3", score: "54.7" },
            { id: 398, run_id: 129, metric: "groundedness", noise: "-3.5", score: "50.2" },
            { id: 399, run_id: 125, metric: "groundedness", noise: "-0.5", score: "64.4" },
            { id: 400, run_id: 107, metric: "groundedness", noise: "-0.5", score: "64.2" },
            { id: 401, run_id: 96, metric: "groundedness", noise: "0.5", score: "53.6" },
            { id: 402, run_id: 148, metric: "format validity", noise: "1.2", score: "60.1" },
            { id: 403, run_id: 176, metric: "groundedness", noise: "-3.9", score: "58.0" },
            { id: 404, run_id: 77, metric: "groundedness", noise: "-2.6", score: "54.7" },
            { id: 405, run_id: 162, metric: "conciseness", noise: "1.3", score: "63.3" },
            { id: 406, run_id: 38, metric: "groundedness", noise: "1.1", score: "56.8" },
            { id: 407, run_id: 163, metric: "groundedness", noise: "1.9", score: "59.0" },
            { id: 408, run_id: 91, metric: "format validity", noise: "-1.3", score: "61.1" },
            { id: 409, run_id: 133, metric: "accuracy", noise: "-1.4", score: "54.3" },
            { id: 410, run_id: 92, metric: "accuracy", noise: "0.8", score: "63.1" },
            { id: 411, run_id: 66, metric: "format validity", noise: "1.4", score: "68.1" },
            { id: 412, run_id: 124, metric: "format validity", noise: "1.2", score: "57.8" },
            { id: 413, run_id: 184, metric: "groundedness", noise: "-1.0", score: "62.5" },
            { id: 414, run_id: 54, metric: "format validity", noise: "-2.3", score: "52.9" },
            { id: 415, run_id: 188, metric: "groundedness", noise: "0.8", score: "69.7" },
            { id: 416, run_id: 39, metric: "format validity", noise: "-1.1", score: "60.4" },
            { id: 417, run_id: 37, metric: "groundedness", noise: "1.3", score: "56.3" },
            { id: 418, run_id: 15, metric: "groundedness", noise: "-2.5", score: "52.1" },
            { id: 419, run_id: 63, metric: "format validity", noise: "-0.9", score: "62.6" },
            { id: 420, run_id: 52, metric: "conciseness", noise: "-0.3", score: "60.8" },
            { id: 421, run_id: 21, metric: "groundedness", noise: "-0.2", score: "63.2" },
            { id: 422, run_id: 20, metric: "accuracy", noise: "-0.9", score: "60.2" },
            { id: 423, run_id: 112, metric: "conciseness", noise: "-0.8", score: "56.7" },
            { id: 424, run_id: 89, metric: "format validity", noise: "0.4", score: "43.3" },
            { id: 425, run_id: 197, metric: "format validity", noise: "-1.2", score: "56.3" },
            { id: 426, run_id: 80, metric: "conciseness", noise: "1.8", score: "66.1" },
            { id: 427, run_id: 109, metric: "groundedness", noise: "-0.5", score: "48.8" },
            { id: 428, run_id: 49, metric: "groundedness", noise: "0.8", score: "61.7" },
            { id: 429, run_id: 180, metric: "accuracy", noise: "-2.6", score: "60.7" },
            { id: 430, run_id: 50, metric: "accuracy", noise: "-0.2", score: "62.6" },
            { id: 431, run_id: 45, metric: "accuracy", noise: "-3.3", score: "55.1" },
            { id: 432, run_id: 13, metric: "format validity", noise: "-1.4", score: "64.2" },
            { id: 433, run_id: 87, metric: "format validity", noise: "-0.3", score: "49.0" },
            { id: 434, run_id: 134, metric: "groundedness", noise: "2.1", score: "64.4" },
            { id: 435, run_id: 122, metric: "format validity", noise: "2.8", score: "65.1" },
            { id: 436, run_id: 186, metric: "format validity", noise: "-0.8", score: "62.7" },
            { id: 437, run_id: 131, metric: "format validity", noise: "0.7", score: "64.1" },
            { id: 438, run_id: 142, metric: "groundedness", noise: "1.6", score: "55.2" },
            { id: 439, run_id: 154, metric: "format validity", noise: "4.2", score: "62.5" },
            { id: 440, run_id: 191, metric: "conciseness", noise: "2.9", score: "60.4" },
            { id: 441, run_id: 139, metric: "conciseness", noise: "0.6", score: "57.1" },
            { id: 442, run_id: 45, metric: "format validity", noise: "2.0", score: "60.4" },
            { id: 443, run_id: 120, metric: "accuracy", noise: "-1.3", score: "61.2" },
            { id: 444, run_id: 88, metric: "format validity", noise: "1.7", score: "62.2" },
            { id: 445, run_id: 42, metric: "accuracy", noise: "0.6", score: "56.1" },
            { id: 446, run_id: 115, metric: "groundedness", noise: "0.3", score: "48.6" },
            { id: 447, run_id: 166, metric: "groundedness", noise: "-2.3", score: "62.4" },
            { id: 448, run_id: 87, metric: "groundedness", noise: "-2.5", score: "46.8" },
            { id: 449, run_id: 176, metric: "conciseness", noise: "-3.6", score: "58.3" },
            { id: 450, run_id: 136, metric: "format validity", noise: "1.6", score: "67.2" },
            { id: 451, run_id: 58, metric: "groundedness", noise: "-0.1", score: "57.8" },
            { id: 452, run_id: 134, metric: "conciseness", noise: "-0.5", score: "61.8" },
            { id: 453, run_id: 148, metric: "groundedness", noise: "4.9", score: "63.8" },
            { id: 454, run_id: 7, metric: "groundedness", noise: "1.9", score: "62.4" },
            { id: 455, run_id: 150, metric: "conciseness", noise: "-3.5", score: "55.0" },
            { id: 456, run_id: 165, metric: "conciseness", noise: "-1.2", score: "51.2" },
            { id: 457, run_id: 99, metric: "format validity", noise: "1.4", score: "62.6" },
            { id: 458, run_id: 89, metric: "groundedness", noise: "-0.3", score: "42.6" },
            { id: 459, run_id: 74, metric: "accuracy", noise: "-3.4", score: "50.5" },
            { id: 460, run_id: 41, metric: "accuracy", noise: "-1.4", score: "47.7" },
            { id: 461, run_id: 73, metric: "format validity", noise: "1.5", score: "61.8" },
            { id: 462, run_id: 114, metric: "format validity", noise: "-0.2", score: "55.2" },
            { id: 463, run_id: 124, metric: "groundedness", noise: "-0.2", score: "56.4" },
            { id: 464, run_id: 102, metric: "conciseness", noise: "1.5", score: "59.9" },
            { id: 465, run_id: 70, metric: "format validity", noise: "0.2", score: "61.3" },
            { id: 466, run_id: 37, metric: "conciseness", noise: "0.8", score: "55.8" },
            { id: 467, run_id: 170, metric: "conciseness", noise: "-3.1", score: "44.6" },
            { id: 468, run_id: 104, metric: "groundedness", noise: "0.5", score: "53.2" },
            { id: 469, run_id: 154, metric: "groundedness", noise: "1.0", score: "59.3" },
            { id: 470, run_id: 33, metric: "format validity", noise: "-1.9", score: "65.2" },
            { id: 471, run_id: 174, metric: "format validity", noise: "-3.5", score: "53.5" },
            { id: 472, run_id: 92, metric: "format validity", noise: "1.8", score: "64.1" },
            { id: 473, run_id: 190, metric: "groundedness", noise: "-4.6", score: "53.8" },
            { id: 474, run_id: 149, metric: "format validity", noise: "-3.2", score: "51.8" },
            { id: 475, run_id: 28, metric: "groundedness", noise: "-1.7", score: "54.5" },
            { id: 476, run_id: 13, metric: "groundedness", noise: "1.9", score: "67.5" },
            { id: 477, run_id: 51, metric: "groundedness", noise: "-1.9", score: "69.7" },
            { id: 478, run_id: 126, metric: "conciseness", noise: "0.8", score: "60.1" },
            { id: 479, run_id: 133, metric: "format validity", noise: "1.8", score: "57.5" },
            { id: 480, run_id: 129, metric: "conciseness", noise: "1.0", score: "54.7" },
            { id: 481, run_id: 23, metric: "groundedness", noise: "1.2", score: "61.7" },
            { id: 482, run_id: 159, metric: "groundedness", noise: "3.4", score: "64.5" },
            { id: 483, run_id: 25, metric: "accuracy", noise: "1.7", score: "61.6" },
            { id: 484, run_id: 43, metric: "groundedness", noise: "0.4", score: "66.8" },
            { id: 485, run_id: 91, metric: "groundedness", noise: "2.8", score: "65.2" },
            { id: 486, run_id: 161, metric: "groundedness", noise: "0.2", score: "57.7" },
            { id: 487, run_id: 132, metric: "groundedness", noise: "0.9", score: "68.3" },
            { id: 488, run_id: 75, metric: "accuracy", noise: "0.8", score: "51.7" },
            { id: 489, run_id: 81, metric: "groundedness", noise: "3.3", score: "68.9" },
            { id: 490, run_id: 108, metric: "accuracy", noise: "2.6", score: "61.7" },
            { id: 491, run_id: 39, metric: "groundedness", noise: "-0.5", score: "61.0" },
            { id: 492, run_id: 178, metric: "groundedness", noise: "-0.4", score: "52.4" },
            { id: 493, run_id: 168, metric: "groundedness", noise: "-0.3", score: "42.6" },
            { id: 494, run_id: 36, metric: "groundedness", noise: "-1.3", score: "55.3" },
            { id: 495, run_id: 137, metric: "groundedness", noise: "0.7", score: "56.1" },
            { id: 496, run_id: 193, metric: "format validity", noise: "-3.3", score: "55.5" },
            { id: 497, run_id: 64, metric: "groundedness", noise: "2.2", score: "52.2" },
            { id: 498, run_id: 20, metric: "format validity", noise: "0.3", score: "61.4" },
            { id: 499, run_id: 186, metric: "groundedness", noise: "0.3", score: "63.8" },
            { id: 500, run_id: 92, metric: "groundedness", noise: "-1.2", score: "61.1" },
        ],
    });
    await prisma.eval_scores.createMany({
        data: [
            { id: 501, run_id: 85, metric: "format validity", noise: "1.5", score: "60.8" },
            { id: 502, run_id: 192, metric: "format validity", noise: "2.1", score: "65.5" },
            { id: 503, run_id: 76, metric: "groundedness", noise: "-1.2", score: "55.7" },
            { id: 504, run_id: 29, metric: "conciseness", noise: "0.3", score: "56.1" },
            { id: 505, run_id: 161, metric: "conciseness", noise: "1.0", score: "58.5" },
            { id: 506, run_id: 79, metric: "groundedness", noise: "2.1", score: "49.8" },
            { id: 507, run_id: 63, metric: "groundedness", noise: "0.2", score: "63.7" },
            { id: 508, run_id: 5, metric: "format validity", noise: "2.3", score: "68.6" },
            { id: 509, run_id: 171, metric: "format validity", noise: "0.5", score: "54.8" },
            { id: 510, run_id: 188, metric: "conciseness", noise: "-0.7", score: "68.2" },
            { id: 511, run_id: 70, metric: "groundedness", noise: "1.4", score: "62.5" },
            { id: 512, run_id: 114, metric: "groundedness", noise: "-1.2", score: "54.2" },
            { id: 513, run_id: 116, metric: "conciseness", noise: "2.4", score: "58.6" },
            { id: 514, run_id: 41, metric: "format validity", noise: "-0.5", score: "48.6" },
            { id: 515, run_id: 89, metric: "conciseness", noise: "-2.4", score: "40.5" },
            { id: 516, run_id: 67, metric: "format validity", noise: "0.2", score: "57.3" },
            { id: 517, run_id: 79, metric: "conciseness", noise: "-0.6", score: "47.1" },
            { id: 518, run_id: 78, metric: "format validity", noise: "-2.4", score: "58.7" },
            { id: 519, run_id: 10, metric: "format validity", noise: "0.0", score: "61.9" },
            { id: 520, run_id: 147, metric: "groundedness", noise: "-1.7", score: "63.8" },
            { id: 521, run_id: 142, metric: "conciseness", noise: "-0.7", score: "52.9" },
            { id: 522, run_id: 88, metric: "groundedness", noise: "-0.2", score: "60.3" },
            { id: 523, run_id: 87, metric: "conciseness", noise: "1.9", score: "51.2" },
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            { id: 748, run_id: 131, metric: "conciseness", noise: "-1.3", score: "62.1" },
            { id: 749, run_id: 20, metric: "conciseness", noise: "1.6", score: "62.7" },
            { id: 750, run_id: 73, metric: "groundedness", noise: "-1.7", score: "58.6" },
            { id: 751, run_id: 58, metric: "conciseness", noise: "-2.2", score: "55.7" },
            { id: 752, run_id: 197, metric: "groundedness", noise: "-0.7", score: "56.8" },
            { id: 753, run_id: 67, metric: "conciseness", noise: "1.2", score: "58.3" },
            { id: 754, run_id: 92, metric: "conciseness", noise: "-0.5", score: "61.8" },
            { id: 755, run_id: 180, metric: "conciseness", noise: "0.2", score: "63.5" },
            { id: 756, run_id: 106, metric: "conciseness", noise: "-1.0", score: "48.5" },
            { id: 757, run_id: 164, metric: "conciseness", noise: "-1.8", score: "60.4" },
            { id: 758, run_id: 97, metric: "conciseness", noise: "1.4", score: "67.0" },
            { id: 759, run_id: 19, metric: "conciseness", noise: "-2.6", score: "56.8" },
            { id: 760, run_id: 74, metric: "conciseness", noise: "-1.0", score: "52.9" },
            { id: 761, run_id: 122, metric: "conciseness", noise: "-0.3", score: "62.0" },
            { id: 762, run_id: 49, metric: "conciseness", noise: "0.3", score: "61.2" },
            { id: 763, run_id: 158, metric: "conciseness", noise: "2.3", score: "64.6" },
            { id: 764, run_id: 114, metric: "conciseness", noise: "-2.3", score: "53.1" },
            { id: 765, run_id: 115, metric: "conciseness", noise: "-0.5", score: "47.8" },
            { id: 766, run_id: 152, metric: "conciseness", noise: "0.0", score: "57.1" },
            { id: 767, run_id: 143, metric: "conciseness", noise: "2.4", score: "68.2" },
            { id: 768, run_id: 154, metric: "conciseness", noise: "-1.4", score: "56.9" },
            { id: 769, run_id: 193, metric: "conciseness", noise: "-0.4", score: "58.4" },
            { id: 770, run_id: 197, metric: "conciseness", noise: "-0.2", score: "57.3" },
            { id: 771, run_id: 137, metric: "conciseness", noise: "-1.3", score: "54.1" },
            { id: 772, run_id: 48, metric: "conciseness", noise: "1.0", score: "66.0" },
            { id: 773, run_id: 81, metric: "conciseness", noise: "3.2", score: "68.8" },
            { id: 774, run_id: 82, metric: "conciseness", noise: "-0.8", score: "59.2" },
            { id: 775, run_id: 71, metric: "conciseness", noise: "-0.1", score: "53.8" },
            { id: 776, run_id: 121, metric: "conciseness", noise: "-0.2", score: "48.9" },
            { id: 777, run_id: 30, metric: "conciseness", noise: "0.2", score: "58.2" },
            { id: 778, run_id: 5, metric: "conciseness", noise: "1.6", score: "67.9" },
            { id: 779, run_id: 156, metric: "conciseness", noise: "4.4", score: "54.4" },
            { id: 780, run_id: 46, metric: "conciseness", noise: "-0.9", score: "53.8" },
            { id: 781, run_id: 16, metric: "conciseness", noise: "-1.5", score: "60.7" },
            { id: 782, run_id: 146, metric: "conciseness", noise: "-2.1", score: "47.4" },
            { id: 783, run_id: 107, metric: "conciseness", noise: "0.2", score: "64.9" },
            { id: 784, run_id: 90, metric: "conciseness", noise: "-2.0", score: "63.6" },
            { id: 785, run_id: 11, metric: "conciseness", noise: "4.8", score: "73.3" },
            { id: 786, run_id: 127, metric: "conciseness", noise: "-2.2", score: "50.6" },
            { id: 787, run_id: 73, metric: "conciseness", noise: "-1.3", score: "59.0" },
            { id: 788, run_id: 66, metric: "conciseness", noise: "0.2", score: "66.9" },
        ],
    });
}

main()
    .then(() => prisma.$disconnect())
    .catch(async error => {
        console.error(error);
        await prisma.$disconnect();
        process.exit(1);
    });
