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--- |
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license: mit |
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language: |
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- en |
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size_categories: |
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- n<1K |
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pretty_name: Adaptive Graph Pruning Training Dataset |
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dataset_info: |
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- config_name: coding |
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features: |
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- name: task |
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dtype: string |
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- name: edge_weight |
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sequence: |
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sequence: float32 |
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- name: mask |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 85430 |
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num_examples: 140 |
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- config_name: general_reasoning |
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features: |
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- name: task |
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dtype: string |
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- name: edge_weight |
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sequence: |
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sequence: float32 |
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- name: mask |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 97455 |
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num_examples: 138 |
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- config_name: math_reasoning |
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features: |
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- name: task |
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dtype: string |
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- name: edge_weight |
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sequence: |
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sequence: float32 |
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- name: mask |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 31794 |
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num_examples: 94 |
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configs: |
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- config_name: coding |
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data_files: |
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- split: train |
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path: coding/train.json |
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- config_name: general_reasoning |
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data_files: |
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- split: train |
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path: general_reasoning/train.json |
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- config_name: math_reasoning |
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data_files: |
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- split: train |
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path: math_reasoning/train.json |
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--- |
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# Dataset Card for AGP-Training |
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## Dataset Description |
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- **Homepage:** https://resurgamm.github.io/AGP/ |
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- **Repository:** https://github.com/Resurgamm/AGP |
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- **Paper:** https://arxiv.org/abs/2506.02951 |
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### Dataset Summary |
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AGP-Training is the dataset for training Adaptive Graph Pruning (AGP). We open-source our training set so that you can reproduce our work. |
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For further usage, please refer to [our repository](https://github.com/Resurgamm/AGP) |
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### Citation |
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If you find AGP helpful in your research, please consider citing: |
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```bibtex |
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@article{li2025adaptive, |
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title={Adaptive Graph Pruning for Multi-Agent Communication}, |
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author={Li, Boyi and Zhao, Zhonghan and Lee, Der-Horng and Wang, Gaoang}, |
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journal={arXiv preprint arXiv:2506.02951}, |
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year={2025} |
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} |
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``` |
