| --- |
| license: apache-2.0 |
| language: |
| - en |
| tags: |
| - graph |
| - text-attributed-graph |
| - node-classification |
| - llm |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # GraspLLM Datasets |
|
|
| Pre-processed text-attributed graphs used in |
| [**GraspLLM**](https://github.com/Heinz217/GraspLLM): |
| *Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs*. |
|
|
| This repository hosts the **raw graph** (`processed_data.pt`) for each dataset. |
|
|
| ## Datasets |
|
|
| We follow the paper's 14 benchmarks: |
|
|
| | Domain | Dataset | File | |
| |---|---|---| |
| | Citation | Cora, Citeseer, Pubmed, Arxiv | `cora/`, `citeseer/`, `pubmed/`, `ogbn-arxiv/` | |
| | E-commerce | Books-History, Ele-Computer, Ele-Photo | `history/`, `computer/`, `photo/` | |
| | Wikipedia | WikiCS | `wikics/` | |
| | Social | Reddit, Instagram | `reddit/`, `instagram/` | |
| | Web pages | Cornell, Texas, Washington, Wisconsin | `cornell/`, `texas/`, `washington/`, `wisconsin/` | |
|
|
| Each `<dataset>/processed_data.pt` is a [PyG](https://pytorch-geometric.readthedocs.io/) `Data` object containing: |
|
|
| - `x`: node feature tensor (placeholder; replaced by Qwen3-Embedding-8B at runtime) |
| - `edge_index`: `[2, E]` undirected edge list |
| - `y`: node labels |
| - `train_mask` / `val_mask` / `test_mask` |
| - `raw_texts`: list of raw node texts (used to compute Qwen3 features) |
| - `label_texts` (where applicable): the textual class names |
|
|
| ## Usage |
|
|
| ```bash |
| # Clone the GraspLLM code repo |
| git clone https://github.com/Heinz217/GraspLLM.git |
| cd GraspLLM |
| |
| # Download this dataset bundle |
| huggingface-cli download Heinz217/GraspLLM-Datasets \ |
| --repo-type dataset \ |
| --local-dir ./dataset |
| |
| # Configure dataset root (or just keep the default ./dataset) |
| export GRASPLLM_DATASET_ROOT=$PWD/dataset |
| ``` |
|
|
