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README.md
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# CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models
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<div align="center">
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<a href="http://kausable.github.io/CausalDynamics"><img src="https://img.shields.io/badge/View-Documentation-blue?style=for-the-badge)" alt="Homepage"/></a>
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<!-- <a href="<ADD_LINK>"><img src="https://img.shields.io/badge/ArXiV-2402.00712-b31b1b.svg" alt="arXiv"/></a> -->
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<a href="https://huggingface.co/datasets/kausable/CausalDynamics"><img src="https://img.shields.io/badge/Dataset-HuggingFace-ffd21e" alt="Huggingface Dataset"/></a>
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## Installation
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### Using pip
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```bash
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pip install causaldynamics
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## Citation
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If you find any of the code and dataset useful, feel free to acknowledge our work through:
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# CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models
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<div align="center">
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<h3>NeurIPS 2025</h3>
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</div>
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<div align="center">
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<a href="https://arxiv.org/abs/2505.16620"><img src="https://img.shields.io/badge/arXiv-2505.16620-b31b1b.svg" alt="arXiv"/></a>
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<a href="http://kausable.github.io/CausalDynamics"><img src="https://img.shields.io/badge/View-Documentation-blue?style=for-the-badge)" alt="Homepage"/></a>
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<!-- <a href="<ADD_LINK>"><img src="https://img.shields.io/badge/ArXiV-2402.00712-b31b1b.svg" alt="arXiv"/></a> -->
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<a href="https://huggingface.co/datasets/kausable/CausalDynamics"><img src="https://img.shields.io/badge/Dataset-HuggingFace-ffd21e" alt="Huggingface Dataset"/></a>
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## Installation
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### Using pip
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*CausalDynamics* is available on [PyPi](https://pypi.org/project/causaldynamics/), so you can use pip to install `causaldynamics`, which currently requires Python version `3.10`.
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```bash
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pip install causaldynamics
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## Citation
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If you find any of the code and dataset useful, feel free to acknowledge our work through:
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```bibtex
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@article{herdeanu2025causaldynamics,
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title={CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models},
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author={Herdeanu, Benjamin and Nathaniel, Juan and Roesch, Carla and Buch, Jatan and Ramien, Gregor and Haux, Johannes and Gentine, Pierre},
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journal={arXiv preprint arXiv:2505.16620},
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year={2025}
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}
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```
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