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chore(benchmarks): fix CSV question count in accuracy reports

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Johann Schopplich
2025-11-07 21:31:15 +01:00
parent acca69c64a
commit b4655b01af
3 changed files with 8 additions and 4 deletions
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benchmarks/results/retrieval-accuracy.md
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@@ -45,7 +45,7 @@ XML ▓▓▓▓▓▓▓▓▓▓░░░░░░░░░░ 13
TOON achieves **73.9%** accuracy (vs JSON's 69.7%) while using **39.6% fewer tokens**.
**Note on CSV:** Excluded from ranking as it only supports 436/209 questions (flat tabular data only). While CSV is highly token-efficient for simple tabular data, it cannot represent nested structures that other formats handle.
**Note on CSV:** Excluded from ranking as it only supports 109 of 209 questions (flat tabular data only). While CSV is highly token-efficient for simple tabular data, it cannot represent nested structures that other formats handle.
#### Per-Model Accuracy