Update README.md

README.md

@@ -35,4 +35,50 @@ configs:
     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.*