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README.md

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+# Variant Effect Coding Dataset
+
+50,083 core variant entries from GPN-MSA study using ClinVar pathogenic variants and gnomAD benign variants (MAF>5%), split by chromosome (Chr 1-7,9-22,X,Y for train, Chr 8 for test) for pathogenic/benign classification.
+
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("wanglab/variant_effect_coding")
+example = dataset["train"][0]
+print(example)
+```
+
+
+## Citation
+
+```
+@misc{fallahpour2025bioreasonincentivizingmultimodalbiological,
+      title={BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model}, 
+      author={Adibvafa Fallahpour and Andrew Magnuson and Purav Gupta and Shihao Ma and Jack Naimer and Arnav Shah and Haonan Duan and Omar Ibrahim and Hani Goodarzi and Chris J. Maddison and Bo Wang},
+      year={2025},
+      eprint={2505.23579},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2505.23579}, 
+}
+```