| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - DEVS |
| - simulation |
| - code-generation |
| - benchmark |
| - formal-modeling |
| size_categories: |
| - n<1K |
| dataset_info: |
| features: |
| - name: task_id |
| dtype: large_string |
| - name: category |
| dtype: large_string |
| - name: sub_category |
| dtype: large_string |
| - name: prompt |
| dtype: large_string |
| - name: canonical_solution |
| dtype: large_string |
| splits: |
| - name: train |
| num_bytes: 102010 |
| num_examples: 181 |
| download_size: 38220 |
| dataset_size: 102010 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # DEVS-Eval |
|
|
| A benchmark dataset for evaluating the ability of large language models (LLMs) to generate |
| DEVS simulation models in the declarative natural language interface (DNL) of the MS4 Me |
| modeling environment. |
|
|
| ## Dataset Description |
|
|
| DEVS-Eval consists of 181 human-curated tasks spanning ten categories of the DEVS formalism, |
| ranging from elementary atomic model constructs to advanced hierarchical system compositions. |
| Each task consists of a natural language prompt paired with a canonical solution written in |
| DNL or SES syntax. |
|
|
| ## Dataset Structure |
|
|
| | Column | Description | |
| |---|---| |
| | `task_id` | Unique identifier for each task | |
| | `category` | High-level DEVS construct category (e.g., FDDEVS, SES, Elaboration) | |
| | `sub_category` | Fine-grained construct within the category | |
| | `prompt` | Natural language description provided as input to the model | |
| | `canonical_solution` | Reference DNL or SES implementation validated in MS4 Me | |
|
|
| ## Categories |
|
|
| | Category | Tasks | |
| |---|---| |
| | Elaboration | 92 | |
| | FDDEVS | 37 | |
| | SES | 24 | |
| | Protocol | 10 | |
| | Pruning | 5 | |
| | Specialization | 4 | |
| | Mapping | 4 | |
| | Inheritance | 2 | |
| | FDEVS | 2 | |
| | Variables | 1 | |
|
|
| ## License |
|
|
| This dataset is released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
|
|
| ## Citation |
|
|
| *Citation information will be provided upon acceptance.* |
