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| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| - name: category | |
| dtype: string | |
| - name: difficulty | |
| dtype: string | |
| - name: prompt | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 236134 | |
| num_examples: 299 | |
| - name: test | |
| num_bytes: 160017 | |
| num_examples: 201 | |
| download_size: 150919 | |
| dataset_size: 396151 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| # TeleMath, processed | |
| The [netop/TeleMath](https://huggingface.co/datasets/netop/TeleMath) benchmark, 500 telecom | |
| mathematics problems with numerical answers, split into train and test. | |
| TeleMath ships a single split. This one is stratified by category, 299 questions for | |
| train and 201 for test, with a fixed seed (0), so every category appears on both sides | |
| in proportion to its size. It is the split every experiment in | |
| [TeleMath-router](https://huggingface.co/datasets/ymoslem/TeleMath-router) uses. | |
| | Column | Meaning | | |
| |---|---| | |
| | `id` | the question's id in netop/TeleMath | | |
| | `question` | the question as published | | |
| | `answer` | the numerical reference answer | | |
| | `category`, `difficulty` | as published | | |
| | `prompt` | the question followed by the answer-format instruction the models were given | | |
| The instruction appended to every question: | |
| > Solve the problem and give the final numerical answer, in the unit stated in the question, inside \boxed{}. | |
| ## GitHub repository | |
| The full code of CRE-Router is at [github.com/ymoslem/CRE-Router](https://github.com/ymoslem/CRE-Router). | |
| ## Citation | |
| If you use CRE-Router or any of its artifacts, please cite the following paper: | |
| ```bibtex | |
| @article{moslem2026clusterrouteescalate, | |
| title={Cluster, Route, Escalate: Cascaded Framework for Cost-Aware LLM Serving}, | |
| author={Yasmin Moslem and Magdalena Kacmajor and Vasudevan Nedumpozhimana and Ammar Abbas and Solmaz Panahi and David Lynch and Zhuangzhuang Nie and Alexandros Agapitos and Aleksandar Milenovic and Hongmeng Song and Yucheng Shi and Yue Pan and Patricia Buffini and John D. Kelleher}, | |
| year={2026}, | |
| eprint={2606.27457}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.PF}, | |
| url={https://arxiv.org/abs/2606.27457}, | |
| } | |
| ``` | |