Update code link and load_dataset id after the org move

README.md

@@ -41,7 +41,7 @@ text. Every row pairs a gold question (the clean-text oracle input) with
 the transcription actually produced for one accent, so the degradation is
 directly measurable without re-running any speech model.
 
-**Code:** https://github.com/ZhenghuaBao/spoken-multihop-rag
+**Code:** https://github.com/Continuum-AI-Corp/spoken-multihop-rag
 
 ## Contents
 
@@ -86,7 +86,7 @@ implementation used for every number in the paper
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("KingZ23/spoken-multihop-rag", "2wikimultihopqa", split="test")
+ds = load_dataset("orcarouter/spoken-multihop-rag", "2wikimultihopqa", split="test")
 
 # clean-text vs ASR input for one accent
 ng = ds.filter(lambda r: r["accent"] == "ng" and not r["tts_failed"])