Update README

README.md

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----
-license: mit
----
+# JustLogic
+
+[[Paper]](https://arxiv.org/abs/2501.14851) [[Github]](https://github.com/michaelchen-lab/JustLogic)
+
+JustLogic is a deductive reasoning datataset that is
+
+1. highly complex, capable of generating a diverse range of linguistic patterns, vocabulary, and argument structures;
+2. prior knowledge independent, eliminating the advantage of models possessing prior knowledge and ensuring that only deductive reasoning is used to answer questions; and
+3. capable of in-depth error analysis on the heterogeneous effects of reasoning depth and argument form on model accuracy.
+
+## Dataset Format
+
+- `premises`: List of premises in the question, in the form of a Python list.
+- `paragraph`: A paragraph consisting of the above `premises`. This is given as input to models.
+- `conclusion`: The expected conclusion of the given premises.
+- `question`: The statement in which models must determine its truth-value.
+- `label`: True | False | Uncertain
+- `arg`: The argument structure
+- `statements`: Matching symbols in `arg` to their corresponding natural language statements.
+- `depth`: The argument depth of the given question
+
+## Dataset Construction
+
+JustLogic is a synthetically generated dataset. The script to construct your own dataset can be found in the [Github repo](https://github.com/michaelchen-lab/JustLogic).
+
+## Citation
+
+```
+@article{chen2025justlogic,
+  title={JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models},
+  author={Chen, Michael K and Zhang, Xikun and Tao, Dacheng},
+  journal={arXiv preprint arXiv:2501.14851},
+  year={2025}
+}
+```
+
+---
+license: mit
+---