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Add MatMaster-DP organization card
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README.md
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title: README
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# MatMaster-DP
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**Open benchmarks and evaluation resources for materials-science Agents.**
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MatMaster-DP is maintained by [DP Technology](https://www.dp.tech/en). We develop benchmarks for evaluating how AI Agents reason about materials, construct atomistic models, prepare and analyze scientific calculations, and plan laboratory operations.
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## Public benchmarks
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| Benchmark | Scope | Public release |
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|---|---|---|
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| [MATTER-604](https://huggingface.co/datasets/MatMaster-DP/MATTER-604) | 604 materials-science Agent tasks covering structure construction and retrieval, scientific analysis, simulation input generation, workflow execution, data diagnosis, and related research constraints | Task prompts, redistributable input fixtures, submission schema, and evaluation guide |
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| [Materials AutoLab 144](https://huggingface.co/datasets/MatMaster-DP/Materials-AutoLab-144) | 144 tasks for materials-experiment planning and laboratory operation through a public OPC interface contract | Task packages, action and capability catalogs, schemas, and evaluation guide |
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Both dataset pages provide a searchable Dataset Viewer and machine-readable task records.
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## Evaluation access
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Reference answers and evaluation materials are separated from the public questions to reduce direct answer exposure. Qualified benchmark maintainers may request access through the manual-gated repositories:
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- [MATTER-604 Evaluator Access](https://huggingface.co/datasets/MatMaster-DP/MATTER-604-evaluator-access)
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- [Materials AutoLab 144 Evaluator Access](https://huggingface.co/datasets/MatMaster-DP/Materials-AutoLab-144-evaluator-access)
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Please disclose benchmark exposure, Agent and model versions, prompts, tools, runtime configuration, and any task-specific failures when reporting results.
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## About DP Technology
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[DP Technology](https://www.dp.tech/en) develops AI-for-Science platforms and scientific software for research in materials, chemistry, life sciences, and related fields.
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