Datasets:
Improve FinSearchComp dataset card: Add paper link, project page, and comprehensive metadata (#2)
Browse files- Improve FinSearchComp dataset card: Add paper link, project page, and comprehensive metadata (c73e4d6bb03d52102d3a1919cbf60d44ddbe4f63)
Co-authored-by: Niels Rogge <[email protected]>
README.md
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license: cc-by-4.0
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license: cc-by-4.0
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task_categories:
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- question-answering
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tags:
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- finance
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- financial-analysis
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- reasoning
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- search
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This repository contains the FinSearchComp dataset, a benchmark for evaluating financial search and reasoning capabilities of LLM-based agents, as presented in the paper [FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning](https://huggingface.co/papers/2509.13160).
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**Project Page:** [https://randomtutu.github.io/FinSearchComp/](https://randomtutu.github.io/FinSearchComp/)
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FinSearchComp is the first fully open-source agent benchmark designed for realistic, open-domain financial search and reasoning. It comprises three tasks that closely reproduce real-world financial analyst workflows:
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- Time-Sensitive Data Fetching
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- Simple Historical Lookup
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- Complex Historical Investigation
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The benchmark includes 635 questions spanning global and Greater China markets, meticulously annotated by 70 professional financial experts.
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