Download test-rapid.js from sapbot/cowqa: direct link, hf CLI and curl.
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https://huggingface.co/datasets/sapbot/cowqa/resolve/main/test-rapid.js
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hf download hf://datasets/sapbot/cowqa/test-rapid.js
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curl -L -o test-rapid.js https://huggingface.co/datasets/sapbot/cowqa/resolve/main/test-rapid.js
1.82 kB
| const fs = require("fs"); | |
| const readline = require("readline"); | |
| // Загружаем датасет | |
| const dataset = JSON.parse(fs.readFileSync("dataset.json")); | |
| // Формируем единый промпт | |
| let prompt = `Answer the following multiple choice questions. For each question, output the number of the question followed by a dot and the letter of the correct answer (A, B, or C). Output one answer per line, in order from 1 to N. | |
| `; | |
| dataset.forEach((item, idx) => { | |
| const num = idx + 1; | |
| prompt += `${num}. ${item.question}\n`; | |
| prompt += `A. ${item.A}\n`; | |
| prompt += `B. ${item.B}\n`; | |
| prompt += `C. ${item.C}\n\n`; | |
| }); | |
| console.log(prompt); | |
| console.log("=== PUT HERE AI RESPONSE: ==="); | |
| console.log("1.A"); | |
| console.log("2.B"); | |
| console.log("3.C"); | |
| console.log("..."); | |
| console.log("(Then enter Ctrl+D)\n"); | |
| const rl = readline.createInterface({ | |
| input: process.stdin, | |
| output: process.stdout, | |
| terminal: false | |
| }); | |
| let llmResponse = ""; | |
| rl.on("line", (line) => { | |
| llmResponse += line + "\n"; | |
| }); | |
| rl.on("close", () => { | |
| const lines = llmResponse.split(/\r?\n/); | |
| const answers = {}; | |
| for (const line of lines) { | |
| const match = line.match(/^(\d+)\.\s*([ABC])$/i); | |
| if (match) { | |
| const qNum = parseInt(match[1], 10); | |
| const answerLetter = match[2].toUpperCase(); | |
| answers[qNum] = answerLetter; | |
| } | |
| } | |
| let correct = 0; | |
| for (let i = 0; i < dataset.length; i++) { | |
| const expected = dataset[i].correct; | |
| const predicted = answers[i + 1]; | |
| if (predicted && predicted === expected) { | |
| correct++; | |
| } | |
| } | |
| console.log(`\nFinal CowQA-Rapid score: ${correct}/${dataset.length} (${Math.round((correct / dataset.length) * 100 * 100) / 100})%`); | |
| process.exit(0); | |
| }); | |