Update README.md

README.md

@@ -164,7 +164,7 @@ configs:
 
 # Open-Jev: typed decision datasets
 
-Open-Jev turns a state and a question into a typed decision: a yes/no probability, a distribution over choices, independent label probabilities, or a discrete numeric/ordinal decision. This repository publishes twelve separate, frozen data configs from the [Open-Jev project](https://github.com/Zefan-Cai/Open-Jev-Dev), together with original manifests, exact raw records, source code and reconstruction instructions.
+Open-Jev turns a state and a question into a typed decision: a yes/no probability, a distribution over choices, independent label probabilities, or a discrete numeric/ordinal decision. This repository publishes twelve separate, frozen data configs from the [Open-Jev project](https://github.com/TypeSafeAI/Open-Jev-Dev), together with original manifests, exact raw records, source code and reconstruction instructions.
 
 These are controlled, mostly synthetic tasks and reference labels. They are not official TypeSafe/Jev training data, model predictions, or evidence of general capability. Open-Jev is independently implemented and is not affiliated with TypeSafe.
 
@@ -197,7 +197,7 @@ The five citation/entity/amount/email/phone corpora were prepared and audited af
 import json
 from datasets import load_dataset
 
-ds = load_dataset("ZefanCai/Open-Jev", "release-v2-redistributable")
+ds = load_dataset("TypeSafeAI/Open-Jev", "release-v2-redistributable")
 example = ds["train"][0]
 state = json.loads(example["state_json"])
 metadata = json.loads(example["metadata_json"])