README: quote the tagline, add the training-curve loop

README.md

@@ -19,13 +19,21 @@ tags:
 
 # 📊 SmolDataEnvs — Harbor (train)
 
-**5.5K+ RL tasks for hill-climbing small models in code and data science.**
-
 [![Collection](https://img.shields.io/badge/%F0%9F%A4%97%20Collection-SmolDataEnvs-FFD21E?style=for-the-badge&labelColor=1a1a1a)](https://huggingface.co/collections/FineEnvs/smoldataenvs)
 [![Harbor Visualiser](https://img.shields.io/badge/%F0%9F%A4%97%20Harbor%20Visualiser-Browse%20tasks-FFD21E?style=for-the-badge&labelColor=1a1a1a)](https://huggingface.co/spaces/HuggingFaceH4/harbor-visualiser?dataset=FineEnvs/SmolDataEnvs-harbor-train)
 
 </div>
 
+> **5.5K+ RL tasks for hill-climbing small models in code and data science.**
+
+<div align="center">
+
+<img src="https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-train/resolve/main/curves.gif" alt="Reward and held-out pass@k climbing over 1,119 GRPO steps" width="100%">
+
+<sub>A 2B model on these tasks: reward, tool efficiency and held-out pass@k over 1,119 GRPO steps.</sub>
+
+</div>
+
 
 The training suite: **5,000 hands-on data-analysis tasks**. Each one drops an agent into a sandbox with a
 real dataset and a question, and asks it to explore the data, compute the answer, and write it down.