Datasets:
| license: apache-2.0 | |
| task_categories: | |
| - graph-ml | |
| # HuggingBench-Tracing | |
| This dataset contains Model Tracing test collection in HuggingBench for paper "[Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph](https://huggingface.co/papers/2505.17507)". | |
| ## Dataset Details | |
| - `training/validation/test.txt` are training/validation/test set files in the format required by [LibKGE](https://github.com/uma-pi1/kge). | |
| ## Uses | |
| <!-- Address questions around how the dataset is intended to be used. --> | |
| We use [LibKGE](https://github.com/uma-pi1/kge) to implemen baselines for supervised biselines and use the official code of [ULTRA](https://github.com/DeepGraphLearning/ULTRA) and [KG-ICL](https://github.com/nju-websoft/KG-ICL) of the two unsupervised models. | |
| - Clone [LibKGE](https://github.com/uma-pi1/kge) and configure required environment. | |
| - Download data in [HuggingBench-Tracing](https://huggingface.co/datasets/cqsss/HuggingBench-Tracing) to `kge/data/huggingface`. | |
| - Copy configuration files in `./model_tracing/kge/examples` from [Github](https://github.com/nju-websoft/HuggingBench). | |
| - Run train/test shell scripts `model_tracing\kge\scripts\train.sh` and `model_tracing\kge\scripts\test.sh`. | |
| <table> | |
| <thead> | |
| </thead> | |
| <tbody> | |
| <tr> | |
| <td>💻 <strong>GitHub</strong></td> | |
| <td><a href="https://github.com/nju-websoft/HuggingBench">Code Reposity</a></td> | |
| </tr> | |
| <tr> | |
| <td>📄 <strong>Paper</strong></td> | |
| <td><a href="https://arxiv.org/abs/2505.17507">ArXiv-Link</a></td> | |
| </tr> | |
| <tr> | |
| <td>📊 <strong>Data</strong></td> | |
| <td><a href="https://huggingface.co/collections/cqsss/huggingbench-67b2ee02ca45b15e351009a2"> | |
| HuggingBench</a></td> | |
| </tr> | |
| </tbody> | |
| </table> |