---
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.*