Add dataset card and links to paper/GitHub

README.md

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+---
+task_categories:
+- other
+---
+
+# NIV: Neural Axis Variations for Variable Font Generation
+
+This dataset contains over one million variation tuples derived from variable Google Fonts, used for training the **NIV (Neural Axis Variations)** model for automatic variable font generation.
+
+- **Paper:** [NIV: Neural Axis Variations for Variable Font Generation](https://huggingface.co/papers/2606.05261)
+- **Project Page:** [https://ndvbd.github.io/NIV/](https://ndvbd.github.io/NIV/)
+- **Repository:** [https://github.com/ndvbd/NIV](https://github.com/ndvbd/NIV)
+
+## Dataset Description
+The dataset comprises per-point displacements for glyph outlines across various design axes such as weight (`wght`), width (`wdth`), slant (`slnt`), and optical size (`opsz`). It is designed to enable neural models to predict continuous geometric variations for vector glyphs, allowing for the conversion of static fonts into functional variable fonts.
+
+## Sample Usage
+
+As per the official repository, you can download the prepared dataset using the `huggingface_hub` CLI:
+
+```bash
+pip install -U huggingface_hub
+hf download ndvb/NIV \
+  --repo-type dataset \
+  --local-dir dataset
+```
+
+## Citation
+
+If you find this work or dataset useful in your research, please consider citing:
+
+```bibtex
+@article{benedek2026niv,
+  title={NIV: Neural Axis Variations for Variable Font Generation},
+  author={Benedek, Nadav and Shamir, Ariel and Fried, Ohad},
+  journal={arXiv preprint arXiv:2606.05261},
+  year={2026}
+}
+```