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 # REval: Reasoning Runtime Behavior of a Program with LLM
 
+> **Disclaimer:** We are not the authors of the REval benchmark. This upload is a convenience repackaging of the original dataset with precomputed execution traces, variable states, and ground truth answers to make the benchmark easier to use programmatically. The original benchmark was created by Junkai Chen et al. and is available at [github.com/r-eval/REval](https://github.com/r-eval/REval/). Please cite the original paper if you use this data.
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 REval is a benchmark for evaluating Large Language Models' ability to reason about the **runtime behavior** of Python programs.
 
 > **Reasoning Runtime Behavior of a Program with LLM: How Far Are We?**