Restore dataset-card figures and fix Hugging Face math rendering

Display-only change: restore the existing banner and current quality-cost figure, use supported inline math delimiters, fix pi/@ tokenization, and update the companion GitHub link. Only README.md and its manifest checksum change; all data splits, features, media, predictions, and experimental results remain unchanged.

README.md

@@ -93,7 +93,7 @@ This card documents the RobustRouteBench experiment in Section 6.3 of the Sinapi
 
 **Mio selector** means the request-level selection component trained separately on each scenario's training split, with hyperparameters and operating points selected using development data. These results do not evaluate the hosted Mio 1.0 Lite API or the end-to-end SinapisAI platform. Mio's internal training and inference implementation is not included in this dataset release.
 
-The reported experiment covers the fixed-pool, single-request setting (\\(T=1\\)) under monetary budgets. Model-side evidence is learned from benchmark training observations; the Section 3 capability-profile construction pipeline is not jointly evaluated here. The results do not isolate profile encoding, pairwise supervision, or near-tie selection, and do not evaluate pool organization, multi-step handoff, or the Section 4.2 rank-fusion rule.
+The reported experiment covers the fixed-pool, single-request setting with \\(T=1\\) under monetary budgets. Model-side evidence is learned from benchmark training observations; the Section 3 capability-profile construction pipeline is not jointly evaluated here. The results do not isolate profile encoding, pairwise supervision, or near-tie selection, and do not evaluate pool organization, multi-step handoff, or the Section 4.2 rank-fusion rule.
 
 - [Evaluation populations and development exclusion](#evaluation-populations-and-development-exclusion)
 - [Benchmark composition and transformations](#benchmark-composition-and-transformations)

manifest.json

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