JJYDXFS/RAMP_finetuned_data_Cora

--- license: apache-2.0 --- # Dataset Details This dataset contains finetuning data constructed from the Cora citation network for downstream text-rich graph tasks. It is used for finetuning [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: - `finetuned_cora_v1.json` — Training set - `finetuned_cora_val_v1.json` — Validation set - `eval_cora_v1.json` — Test set 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} } ``` [](https://arxiv.org/abs/2603.14937)--- license: apache-2.0 --- # 数据集详情 本数据集基于Cora引文网络构建，专为下游富文本图任务提供微调数据，用于微调[RAMP（Raw-text Anchored Message Passing，纯文本锚定消息传递）](https://arxiv.org/abs/2603.14937)。该方法将大语言模型（Large Language Model，LLM）重构为富文本图上的图原生聚合算子。 本数据集包含以下文件： - `finetuned_cora_v1.json` — 训练集 - `finetuned_cora_val_v1.json` — 验证集 - `eval_cora_v1.json` — 测试集 本数据集源自我们的论文《LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs》（链接：https://arxiv.org/abs/2603.14937），若使用本数据集请引用该论文。 # 引用格式 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} } [](https://arxiv.org/abs/2603.14937)