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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- tabular-classification |
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- feature-extraction |
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- text-classification |
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language: |
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- en |
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tags: |
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- agentic-ai |
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- synthetic-data |
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- data-science |
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- benchmark |
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- human-AI-collaboration |
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pretty_name: AgentDS-RetailBanking |
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--- |
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# 🏦 AgentDS-RetailBanking |
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This dataset is part of the **AgentDS Benchmark** — a multi-domain benchmark for evaluating human-AI collaboration in real-world, domain-specific data science. |
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**AgentDS-RetailBanking** includes structured transactional data for 2 challenges: |
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- Credit default prediction |
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- Transaction-level fraud detection |
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👉 Files are organized in the `RetailBanking/` folder and reused across challenges. |
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Refer to the included `description.md` for: |
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- File usage and challenge mappings |
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- Task descriptions and data schema notes |
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- Submission format expectations |
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--- |
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📖 **More info & challenge details**: https://agentds.org/domains |
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🔐 **Get your API key**: https://agentds.org/dashboard |
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🧠 **Submit predictions via SDK**: `pip install agentds-bench` (see main AgentDS README for usage) |
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