One tab per dataset domain after Overall

src/about.py

@@ -5,8 +5,8 @@ INTRODUCTION_TEXT = """
 real-world data** with **zero-shot API inference** via [TSFM.ai](https://tsfm.ai/).
 Following [GIFT-Eval](https://huggingface.co/spaces/Salesforce/GIFT-Eval), the leaderboard
 reports **absolute metric values** (not normalized to a baseline model) and **per-dataset
-ranks**. Use the **Overall** tab for aggregate scores and **By Domain** for per-dataset
-breakdown (each dataset is one domain).
+ranks**. Use the **Overall** tab for aggregate scores; each subsequent tab is one **dataset
+(domain)** with its own absolute results.
 """
 
 LLM_BENCHMARKS_TEXT = """