Improve dataset card: add metadata and link to paper

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- # DisasterBench
 
 
 
 
 
 
 
 
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- DisasterBench is a benchmark for evaluating LLM structured planning over typed multi-agent disaster-response workflows.
 
 
 
 
 
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  ## Benchmark Statistics
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- - 233 planning tasks
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- - 26 task-interface agents
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- - Typed compatibility graph
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- - Structured executable workflow plans
 
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  ## Dataset Structure
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- Each example contains:
 
 
 
 
 
 
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- - `task_id`
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- - `task_desc`
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- - `structured_plan`
 
 
 
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- ## Links
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- - Code: https://github.com/TamuChen18/DisasterBench_Open
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - planning
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+ - multi-agent
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+ - disaster-response
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+ ---
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+ # DisasterBench: Benchmarking LLM Planning under Typed Tool Interface Constraints
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+
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+ DisasterBench is a benchmark for evaluating whether Large Language Models (LLMs) can generate executable structured workflows in disaster-management scenarios. It focuses on workflow grounding under typed interface constraints, requiring models to compose specialized agents into valid multi-step plans with correct agent selection, parameter grounding, and dependency propagation.
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+
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+ - **Paper:** [DisasterBench: Benchmarking LLM Planning under Typed Tool Interface Constraints](https://huggingface.co/papers/2605.27957)
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+ - **Repository:** [TamuChen18/DisasterBench_Open](https://github.com/TamuChen18/DisasterBench_Open)
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  ## Benchmark Statistics
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+ - **233** expert-verified planning tasks
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+ - **26** task-interface agents across 13 functional categories
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+ - **81** typed compatibility edges
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+ - **Workflow Structures:** Node, Chain, and DAG
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+ - **Planning Paradigms Evaluated:** Direct Planning (DP), Chain-of-Thought (CoT), Tree-of-Thought (ToT), RAP (MCTS), and ReAct.
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  ## Dataset Structure
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+ Each example in the dataset contains the following fields:
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+
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+ - `task_id`: Unique identifier for the planning task.
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+ - `task_desc`: Natural language description of the disaster-response goal.
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+ - `structured_plan`: The ground-truth executable workflow plan including agents, parameters, and dependency structures.
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+
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+ ## Evaluation Metrics
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+ The benchmark evaluates models using several metrics:
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+ - **Overall**: Exact structured-plan match.
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+ - **Tools**: Correct tool selection.
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+ - **Parameters**: Correct parameter grounding.
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+ - **Dependencies**: Correct dependency structure.
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+ - **FPoF (First-Point-of-Failure)**: Localization of the earliest root cause failure in a predicted workflow.
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+ ## Citation
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+ ```bibtex
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+ @misc{chen2026disasterbench,
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+ title={DisasterBench: Benchmarking LLM Planning under Typed Tool Interface Constraints},
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+ author={Chen, Zhitong and Yin, Kai and Zhang, Weifeng and Wang, Zhiyuan and Dong, Xiangjue and Liu, Chengkai and Liu, Zhewei and Xiao, Yiming and Mostafavi, Ali and Caverlee, James},
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+ year={2026}
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+ }
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+ ```