Add dataset card for COMPOSE

This PR adds a dataset card for the COMPOSE dataset, which includes:
- Metadata for the `text-generation` task and `mit` license.
- Links to the paper, project page, and GitHub repository.
- A brief description of the 108K scientific-formal graph examples and the 47K future papers benchmark.

README.md

@@ -0,0 +1,32 @@
+---
+license: mit
+task_categories:
+- text-generation
+tags:
+- mathematics
+- formal-methods
+- citation-graph
+---
+
+# COMPOSE: Composing Future Theorems from Citations and Formal Structure
+
+[Project Page](https://david-busbib.github.io/COMPOSE-page/) | [Paper](https://huggingface.co/papers/2605.30333) | [GitHub](https://github.com/david-busbib/COMPOSE)
+
+COMPOSE is a dataset and framework for grounded future mathematical generation. The goal is to generate plausible future theorem-like claims for an "anchor" paper by leveraging two complementary sources of context: its scientific citation graph and an aligned formal theorem dependency graph.
+
+## Dataset Summary
+
+The repository supports the study of future mathematical generation with two main components:
+- **Core Dataset**: 108K paired scientific-formal graph examples constructed from arXiv and Mathlib.
+- **Benchmark**: 47K future papers from 2024–2025 used for evaluating the groundedness and quality of generated theorems.
+
+## Citation
+
+```bibtex
+@article{busbib2026compose,
+  title={{COMPOSE}: Composing Future Theorems from Citations and Formal Structure},
+  author={Busbib, David and Werman, Michael},
+  journal={arXiv preprint arXiv:2605.30333},
+  year={2026}
+}
+```