Add paper and code repository links to dataset card

README.md

@@ -1,20 +1,23 @@
 ---
+language:
+- en
 license: cc-by-nc-4.0
+size_categories:
+- n<1K
 task_categories:
 - robotics
 - visual-question-answering
-language:
-- en
 tags:
 - robotic-bin-packing
 - benchmark
 - vision-language-model
 - closed-loop-control
 - packlab
-size_categories:
-- n<1K
 ---
 
+**Paper**: [PackLab: A Comprehensive Framework for Developing, Training, and Evaluating MLLMs in Robotic Bin Packing](https://huggingface.co/papers/2609.23784)  
+**Code**: [https://github.com/Correr-Zhou/PackLab](https://github.com/Correr-Zhou/PackLab)
+
 ## 📌 Benchmark Summary
 
 **PackLab-Bench** is a standardized benchmark for evaluating closed-loop robotic bin packing policies. It contains 60 test cases organized into easy, medium, and hard difficulty levels.
@@ -105,4 +108,4 @@ print(easy.iloc[0].to_dict().keys())
 
 PackLab-Bench is released under **CC BY-NC 4.0** for research and non-commercial benchmarking use.
 
-Users should validate generated packing actions before deploying them on real robotic hardware. Physical execution requires appropriate safety checks, collision handling, and supervision.
+Users should validate generated packing actions before deploying them on real robotic hardware. Physical execution requires appropriate safety checks, collision handling, and supervision.