refactor: benchmarks code style

benchmarks/src/evaluate.ts

@@ -28,8 +28,20 @@ export const models: Record<string, LanguageModelV2> = {
  * Evaluate a single question with a specific format and model
  */
 export async function evaluateQuestion(
-  { question, formatName, formattedData, model, modelName}:
+  {
-  { question: Question, formatName: string, formattedData: string, model: LanguageModelV2, modelName: string },
+    question,
+    formatName,
+    formattedData,
+    model,
+    modelName,
+  }:
+  {
+    question: Question
+    formatName: string
+    formattedData: string
+    model: LanguageModelV2
+    modelName: string
+  },
 ): Promise<EvaluationResult> {
   const prompt = `
 Given the following data in ${formatName} format:
@@ -79,7 +91,11 @@ async function validateAnswer(
     expected,
     question,
   }:
-  { actual: string, expected: string, question: string },
+  {
+    actual: string
+    expected: string
+    question: string
+  },
 ): Promise<boolean> {
   const prompt = `
 You are validating answers to questions about structured data.

benchmarks/src/formatters.ts

@@ -72,7 +72,7 @@ function toCSV(data: unknown): string {
  * Convert data to XML format
  *
  * @remarks
- * Uses fast-xml-parser to generate well-formatted XML with:
+ * Uses `fast-xml-parser` to generate well-formatted XML with:
  * - 2-space indentation for readability
  * - Empty nodes suppressed
  * - Proper escaping of special characters

benchmarks/src/questions.ts

@@ -29,10 +29,10 @@ export function generateQuestions(): Question[] {
   let idCounter = 1
 
   // Get datasets with proper typing
-  const tabular = (datasets.find(d => d.name === 'tabular')?.data.employees as Employee[]) || []
+  const tabular = (datasets.find(d => d.name === 'tabular')?.data.employees as Employee[]) ?? []
-  const nested = (datasets.find(d => d.name === 'nested')?.data.orders as Order[]) || []
+  const nested = (datasets.find(d => d.name === 'nested')?.data.orders as Order[]) ?? []
-  const analytics = (datasets.find(d => d.name === 'analytics')?.data.metrics as AnalyticsMetric[]) || []
+  const analytics = (datasets.find(d => d.name === 'analytics')?.data.metrics as AnalyticsMetric[]) ?? []
-  const github = (datasets.find(d => d.name === 'github')?.data.repositories as Repository[]) || []
+  const github = (datasets.find(d => d.name === 'github')?.data.repositories as Repository[]) ?? []
 
   // ========================================
   // TABULAR DATASET QUESTIONS (70 questions)