Update ShellOps dataset

README.md

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 # ShellOps
 
-ShellOps is a verifiable dataset suite for CLI agents that interact with filesystem workspaces through executable shell actions. It accompanies the paper [Learning CLI Agents with Structured Action Credit under Selective Observation](https://arxiv.org/abs/2605.08013) and the code release at [Agentic-RL-A3](https://github.com/Hoyant-Su/Agentic-RL-A3).
+<p align="center">
+  <a href="https://arxiv.org/abs/2605.08013"><img src="https://img.shields.io/badge/arXiv-2605.08013-b31b1b.svg" alt="arXiv"></a>
+  <a href="https://github.com/Hoyant-Su/Agentic-RL-A3"><img src="https://img.shields.io/badge/GitHub-Agentic--RL--A3-181717?logo=github" alt="GitHub"></a>
+  <a href="https://huggingface.co/datasets/Hoyant-Su/ShellOps"><img src="https://img.shields.io/badge/HuggingFace-ShellOps-FFD21E?logo=huggingface" alt="Hugging Face"></a>
+</p>
+
+ShellOps is a verifiable dataset suite for CLI agents that interact with filesystem workspaces through executable shell actions. It accompanies the paper **Learning CLI Agents with Structured Action Credit under Selective Observation**.
 
 The dataset focuses on shell-driven information extraction and file editing tasks, where an agent receives a natural language instruction, observes an initial workspace, executes CLI actions, and is scored by verifiable terminal output or post-execution file state.
 
@@ -46,8 +52,6 @@ In `shellops`, `train_src.parquet` is the full training-side corpus claimed in t
 
 `shellops_pro` is an OOD infer-only dataset, so only `test.parquet` is provided. If you use our TEST MODE workflow, create a placeholder `train.parquet` in `shellops_pro/` to keep the file layout consistent. This placeholder parquet is not used during inference.
 
-Training and evaluation code: [Agentic-RL-A3](https://github.com/Hoyant-Su/Agentic-RL-A3).
-
 ## Citation
 
 ```bibtex