Use LearnFromMove in project links and dataset examples

README.md

@@ -48,7 +48,7 @@ LatentGUIWorld is the interactive GUI benchmark introduced in
 across six environments, with **150 episodes per environment** and a
 **1280 × 720** viewport.
 
-[Code and environment runtime](https://github.com/ti-mm/Learn-from-Move)
+[Code and environment runtime](https://github.com/ti-mm/LearnFromMove)
 
 ## Environments
 
@@ -89,7 +89,7 @@ evaluate held-out content across their full test sets.
 import json
 from datasets import load_dataset
 
-repo_id = "OpenMOSS-Team/Learn-from-Move"
+repo_id = "OpenMOSS-Team/LearnFromMove"
 episodes = load_dataset(repo_id, "all", split="test")
 drag = load_dataset(repo_id, "drag_egocentric", split="test")
 episode = json.loads(drag[0]["episode_json"])
@@ -113,7 +113,7 @@ and the structured metadata selected by the runtime's observation contract.
 
 This dataset contains scene configurations, rendering assets, and the Ten-Choice
 HTML/JavaScript scenes. The complete environment runtime, mouse-action interface,
-and evaluation code are available in the [GitHub repository](https://github.com/ti-mm/Learn-from-Move).
+and evaluation code are available in the [GitHub repository](https://github.com/ti-mm/LearnFromMove).
 
 ## Download and run the benchmark
 
@@ -121,14 +121,14 @@ and evaluation code are available in the [GitHub repository](https://github.com/
 from huggingface_hub import snapshot_download
 
 snapshot_download(
-    repo_id="OpenMOSS-Team/Learn-from-Move",
+    repo_id="OpenMOSS-Team/LearnFromMove",
     repo_type="dataset",
     local_dir="benchmark",
 )
 ```
 
 Install the latest environment runtime from the
-[code repository](https://github.com/ti-mm/Learn-from-Move), then pass the
+[code repository](https://github.com/ti-mm/LearnFromMove), then pass the
 downloaded manifest to the environment or evaluation entry point:
 
 ```bash