Update README.md

README.md

@@ -1,3 +1,21 @@
+---
+license: apache-2.0
+task_categories:
+- reinforcement-learning
+- other
+language:
+- code
+tags:
+- crafter
+- craftax
+- expert-demonstrations
+- skill-segmentation
+- action-segmentation
+- object-centric
+pretty_name: Craftax Skill Segmentation Dataset
+size_categories:
+- 1K<n<10K
+---
 # Dataset Card for Craftax Expert Skill Data
 This dataset consists of expert demonstration trajectories from the Crafter (Craftax) environment. Each trajectory includes ground-truth skill segmentation annotations, enabling research into action segmentation, skill discovery, imitation learning, and reinforcement learning with temporally-structured data.
 
@@ -91,5 +109,4 @@ Automated heuristics with manual inspection during development.
 
 ### Recommendations
 
-Researchers should consider validating learned skills on diverse evaluation tasks. Skill segmentation boundaries are approximations and might not generalize well to different agents or environments.
-
+Researchers should consider validating learned skills on diverse evaluation tasks. Skill segmentation boundaries are approximations and might not generalize well to different agents or environments.