---
license: apache-2.0
---

# Dataset Details

This dataset contains pretrained data constructed from academic text-rich graphs ([MAPLE](https://github.com/yuzhimanhua/MAPLE)) spanning three disciplines: Economics, Mathematics, and Geology. It is used for pretraining [RAMP](https://arxiv.org/abs/2603.14937) (Raw-text Anchored Message Passing), which recasts the LLM as a graph-native aggregation operator on text-rich graphs.

The dataset includes the following files:

- `pretrained_Economics.json`
- `pretrained_Mathematics.json`
- `pretrained_Geology.json`

This is a release from our paper [LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs](https://arxiv.org/abs/2603.14937), so please cite it if using this dataset.

# Citation

```bibtex
@article{zhang2026llm,
  title={LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs},
  author={Zhang, Ying and Yu, Hang and Zhang, Haipeng and Di, Peng},
  journal={arXiv preprint arXiv:2603.14937},
  year={2026}
}
```

[![Paper](https://img.shields.io/badge/arXiv-2603.14937-b31b1b.svg)](https://arxiv.org/abs/2603.14937)