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DABstep Multi-Step Reasoning Agent Benchmark Dataset
DABstep (Data Agent Benchmark for Multi-step Reasoning) is a multi-step reasoning benchmark dataset for data agents released by Adyen in 2025, designed to evaluate the ability of AI agents to perform complex data question-answering and multi-step logical reasoning.
The dataset includes three major subsets. The tasks subset contains 460 real-world business tasks, with a total of over 1 million context samples across all subsets, formatted in JSON.
Dataset Composition
- tasks: Core task set, containing fields such as task_id, question, answer, guidelines, and level
- submissions: Submission records subset
- task_scores: Task scoring subset
This dataset is contributed by community users and is intended for educational and informational purposes only. If any content involves copyright infringement, please contact us at [email protected] for prompt review and removal.
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