Add Space card

README.md

@@ -1,10 +1,38 @@
 ---
 title: TCS Trace Viewer
-emoji: 🌖
-colorFrom: green
-colorTo: purple
+emoji: 🔭
+colorFrom: indigo
+colorTo: green
 sdk: static
+app_file: index.html
 pinned: false
+license: mit
+short_description: Browse meta-reasoning trajectories (midtrain + eval)
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# TCS Trace Viewer
+
+A static viewer for meta-reasoning trajectories. It renders, with one UI, both
+**Midtrain V3** scout trajectories assembled from an SFT JSONL (e.g.
+[`HerrHruby/MR_midtrain_v3_sft_core`](https://huggingface.co/datasets/HerrHruby/MR_midtrain_v3_sft_core))
+and **eval rollouts** (IMO / SODA) from `inference.mrv3.run_dual`, the latter
+carrying judge scores, a bench label, and the termination reason.
+
+For each trajectory it shows the **problem** and, per layer:
+
+- the **assembled frontier** the planner consumed (the exact `Exploration so far:`
+  context the MR target was generated from),
+- the **directions chosen** at that layer,
+- the **planner CoT**, the **execution traces** (CoT + finding), the per-execution
+  **summaries** (summary / rationale / core result),
+- and the synthesized **final answers** with judge scores and coverage.
+
+Use the sidebar to filter and switch between trajectories; the toggles in the top
+bar control which views are shown.
+
+This Space bundles the pre-built trajectory index (`data/`) so it is fully
+self-contained — no external data fetch at runtime. Math renders with KaTeX and
+prose with marked, both vendored locally under `vendor/`.
+
+To regenerate or extend the index, see `build_index.py` (midtrain SFT) and
+`build_eval_index.py` (eval rollouts) in the source repo.