Rename dataset card to CUAGym naming

README.md

@@ -44,9 +44,9 @@ configs:
     - "web/use/train/*/*.parquet"
 ---
 
-# cua-lite/CuaGym_V2
+# cua-lite/CUAGym_V2
 
-CuaGym_V2 raw unfiltered GPT teacher trajectories on remaining CUA-Gym desktop and web tasks. Personal-namespace archive; no quality filtering applied.
+CUAGym_V2 raw unfiltered GPT teacher trajectories on remaining CUA-Gym desktop and web tasks. Personal-namespace archive; no quality filtering applied.
 
 ## Origin
 
@@ -58,13 +58,13 @@ CuaGym_V2 raw unfiltered GPT teacher trajectories on remaining CUA-Gym desktop a
 from datasets import load_dataset
 
 # entire dataset
-ds = load_dataset("cua-lite/CuaGym_V2")
+ds = load_dataset("cua-lite/CUAGym_V2")
 
 # just one platform
-ds = load_dataset("cua-lite/CuaGym_V2", "desktop")
+ds = load_dataset("cua-lite/CUAGym_V2", "desktop")
 
 # just one (platform, task_type) cohort
-ds = load_dataset("cua-lite/CuaGym_V2", "desktop.use")
+ds = load_dataset("cua-lite/CUAGym_V2", "desktop.use")
 ```
 
 You can also filter by `metadata.platform` / `metadata.task_type` /
@@ -121,7 +121,7 @@ For local workflows (SFT export, dedup, mixing across datasets), use
 layout:
 
 ```
-$CUA_LITE_DATASETS_ROOT/cua-lite/CuaGym_V2/
+$CUA_LITE_DATASETS_ROOT/cua-lite/CUAGym_V2/
   images/<hash[:2]>/<hash>.<ext>                          # content-addressed image store
   <platform>/<task_type>/<split>[/<variant>].parquet      # rows reference images by relative path
 ```