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  # BPO Benchmark Dataset
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  Evaluation dataset for AI agents using recruiting analytics APIs. This benchmark tests an agent's ability to use tool APIs to answer questions about BPO (Business Process Outsourcing) recruiting data.
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  - **Total Tasks**: 45
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  - **Time Range**: Oct 2023 - Mar 2025
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- ## License
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  Apache 2.0
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- ## Citation
 
 
 
 
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  ```bibtex
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- @misc{bpo-benchmark,
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- title={BPO Benchmark: Agent Evaluation for Recruiting Analytics},
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- year={2025},
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- publisher={HuggingFace},
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- url={https://huggingface.co/datasets/ibm-research/bpo-benchmark}
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  }
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  ```
 
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  - 10K<n<100K
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+
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  # BPO Benchmark Dataset
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  Evaluation dataset for AI agents using recruiting analytics APIs. This benchmark tests an agent's ability to use tool APIs to answer questions about BPO (Business Process Outsourcing) recruiting data.
 
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  - **Total Tasks**: 45
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  - **Time Range**: Oct 2023 - Mar 2025
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+ # License
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  Apache 2.0
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+ # Paper
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+ From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production
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+ https://arxiv.org/abs/2510.23856
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+
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+ # Citation
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  ```bibtex
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+ @inproceedings{shlomov2025benchmarks,
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+ title={From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production},
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+ author={Shlomov, Segev and Oved, Alon and Marreed, Sami and Levy, Ido and Akrabi, Offer and Yaeli, Avi and Str{\k{a}}k, {\L}ukasz and Koumpan, Elizabeth and Goldshtein, Yinon and Shapira, Eilam and others},
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+ booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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+ year={2026}
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  }
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  ```