cqsss/HuggingBench-Classification
HuggingBench-Classification This dataset contains Task Classification 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 classification.zip contains training/validation/test set files and task-to-id file for multi-label classification. huggingface_xxx.pt is graph data file in the format required by CogDL. xxx… See the full description on the dataset page: https://huggingface.co/datasets/cqsss/HuggingBench-Classification.
HuggingBench-Classification
This dataset contains Task Classification 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
classification.zipcontains training/validation/test set files and task-to-id file for multi-label classification.huggingface_xxx.ptis graph data file in the format required by CogDL.xxxindicates the type of node feature initialization.
Uses
<!-- Address questions around how the dataset is intended to be used. --> We use CogDL to implemen baselines for task classification.
- Install CogDL.
pip install cogdl- Download data in HuggingBench-Classification to
task_classification/data/. - Run
./task_classification/tune_huggingface.pyfrom Github.
<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>