| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-generation |
| - question-answering |
| language: |
| - en |
| pretty_name: ShellOps |
| tags: |
| - cli-agents |
| - reinforcement-learning |
| - filesystem |
| - shell |
| - verifiable-evaluation |
| --- |
| |
| # 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). |
|
|
| 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. |
|
|
| ## Dataset Overview |
|
|
| - **ShellOps**: 1624 standard CLI tasks across training and evaluation splits |
| - **ShellOps-Pro**: 150 harder out-of-distribution tasks for infer-only evaluation |
| - **Task axes**: Lookup, Aggregate, Edit, and Mixed |
| - **Workspace setting**: repository-like file trees with structured data, logs, code, prose, configuration files, and extensionless files |
| - **Evaluation target**: exact stdout, file-state match, or hybrid output plus file-state objectives |
|
|
| ## File Layout |
|
|
| ```text |
| shellops/ |
| train_src.parquet |
| train.parquet |
| test.parquet |
| assets/ |
| |
| shellops_pro/ |
| test.parquet |
| assets/ |
| ``` |
|
|
| In `shellops`, `train_src.parquet` is the full training-side corpus claimed in the paper, while `train.parquet` is the sampled subset used for the reported training runs. The `train_src.parquet` and `test.parquet` files together form the 1624-task ShellOps corpus. |
|
|
| `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. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{su2026learningcliagentsstructured, |
| title={Learning CLI Agents with Structured Action Credit under Selective Observation}, |
| author={Haoyang Su and Ying Wen}, |
| year={2026}, |
| eprint={2605.08013}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.AI}, |
| url={https://arxiv.org/abs/2605.08013}, |
| } |
| ``` |
|
|
