Retire Voice Controllability tab; ASR tab rename; About card filtering

app.py

@@ -1,5 +1,5 @@
 """Real World VoiceEQ Benchmark — Gradio Space (Text-to-Speech / Speech-to-Speech /
-Voice Controllability / Speech Understanding / ASR / SLM Judge).
+Speech Understanding / ASR / SLM Judge).
 
 One Space: an About tab (about.json prose + one clickable card per panel that
 jumps to its tab), then one tab per modality (plus the SLM Judge
@@ -54,12 +54,15 @@ DATASET_REPO = os.environ.get("LEADERBOARD_DATASET", "").strip()
 # use in their "modality" field.
 MODALITIES = [
     ("Text-to-Speech", "tts", "tts_leaderboard.json"),
-    ("Voice Controllability", "voice_creation", "voice_creation_leaderboard.json"),
     ("Speech-to-Speech", "sts", "sts_leaderboard.json"),
     ("Speech Understanding", "stt", "stt_leaderboard.json"),
     ("ASR", "asr", "asr_leaderboard.json"),
     ("SLM Judge", "slm_judge", "slm_judge_leaderboard.json"),
 ]
+# Data that exists but is deliberately not rendered (kept in the dataset):
+# voice_creation_leaderboard.json (the old "Voice Controllability" tab), its
+# samples.json records (modality "voice_creation"), and its about.json panel —
+# render_about skips panels whose tab isn't listed above.
 
 # Curated audio samples (optional): a samples.json manifest next to the board
 # JSONs, each record {modality, factor, label?, group?, model?, text?,
@@ -253,7 +256,7 @@ def merge_boards(boards: list) -> dict:
     Every other board contributes one factor column keyed by its id, whose value
     is that board's `score` for the model. The participant roster is shared, so a
     model's row gathers its score from each board. A file with no Overall board
-    (single-factor modalities, e.g. Voice Controllability) treats every board as a
+    (a single-factor file) treats every board as a
     factor board; license/size then come from the factor boards' participants."""
     if not boards:
         return {"title": "", "description": "", "keyMetric": {},
@@ -335,12 +338,17 @@ def load_about() -> dict:
 
 def render_about(about: dict) -> str:
     """The About tab: intro paragraphs, one clickable card per leaderboard
-    panel (title + description, click = jump to that tab), outro."""
+    panel (title + description, click = jump to that tab), outro. Panels whose
+    tab isn't currently in MODALITIES (e.g. Voice Controllability while its
+    tab is retired) are kept in the data but not rendered."""
+    tabs = {label for label, _key, _fname in MODALITIES}
     parts = ["<div class='ttslb abt'>"]
     for p in about.get("intro", []):
         parts.append(f"<p class='abt-p'>{html.escape(p)}</p>")
     cards = []
     for panel in about.get("panels", []):
+        if panel.get("tab") not in tabs:
+            continue
         body = "".join(f"<p>{html.escape(q)}</p>" for q in panel.get("paragraphs", []))
         cards.append(
             f"<div class='abt-card' role='button' tabindex='0' "
@@ -953,7 +961,7 @@ def render_samples_section(samples: list, factor_labels: dict,
     curated multi-turn contrasts), rendered below the board
     table: one category tab per factor (first-seen manifest order, switching in
     APP_JS), each a list of label + audio player rows. A single-category
-    modality (e.g. Voice Controllability) gets no tab row — just the rows. A sample's
+    modality gets no tab row — just the rows. A sample's
     "text" (generation prompt) and "model" attribution are kept in the manifest
     but not displayed; a "transcript" (the human reference for ASR golden
     samples) is rendered next to the player. Rows carrying a "group" cluster