---
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>