Datasets:
Tasks:
Other
Languages:
English
Size:
10M<n<100M
ArXiv:
Tags:
job-shop-scheduling
operations-research
scheduling
combinatorial-optimization
benchmark
multi-agent
License:
Update license (code MIT, dataset CC-BY-4.0) and citation
Browse files
README.md
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license:
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If you use this dataset, please cite REALM-Bench:
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```bibtex
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@
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title={REALM-Bench: A
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author={},
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}
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```
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## License
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license: cc-by-4.0
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language:
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- en
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tags:
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If you use this dataset, please cite REALM-Bench:
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```bibtex
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@misc{geng2025realmbenchbenchmarkevaluatingmultiagent,
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title={REALM-Bench: A Benchmark for Evaluating Multi-Agent Systems on Real-world, Dynamic Planning and Scheduling Tasks},
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author={Longling Geng and Edward Y. Chang},
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year={2025},
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eprint={2502.18836},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2502.18836},
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}
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```
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## License
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| Component | License |
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|-----------|---------|
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| **Code** (REALM-Bench repository, evaluation framework) | [MIT](https://opensource.org/licenses/MIT) |
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| **Dataset** (this JSSP release on Hugging Face) | [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
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Benchmark instance data may additionally follow the licensing of original sources (OR-Library, Taillard, etc.) where applicable.
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