docs: fix benchmark dataset spacing (closes #196)

benchmarks/results/retrieval-accuracy.md

@@ -278,6 +278,7 @@ This benchmark tests **LLM comprehension and data retrieval accuracy** across di
 Eleven datasets designed to test different structural patterns and validation capabilities:
 
 **Primary datasets:**
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 1. **Tabular** (100 employee records): Uniform objects with identical fields – optimal for TOON's tabular format.
 2. **Nested** (50 e-commerce orders): Complex structures with nested customer objects and item arrays.
 3. **Analytics** (60 days of metrics): Time-series data with dates and numeric values.
@@ -286,6 +287,7 @@ Eleven datasets designed to test different structural patterns and validation ca
 6. **Nested Config** (1 configuration): Deeply nested configuration with minimal tabular eligibility.
 
 **Structural validation datasets:**
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 7. **Control**: Valid complete dataset (baseline for validation)
 8. **Truncated**: Array with 3 rows removed from end (tests `[N]` length detection)
 9. **Extra rows**: Array with 3 additional rows beyond declared length