Datasets:
Upload MATTER-604 private review candidate
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README.md
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checklists, Gold thresholds, or the private evaluator. Submit answers and task
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artifacts through the benchmark evaluation service.
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## Splits
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`data/test.jsonl` contains the 604 evaluation questions. The test labels are
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checklists, Gold thresholds, or the private evaluator. Submit answers and task
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artifacts through the benchmark evaluation service.
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## Repository contents
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```text
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MATTER-604/
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├── README.md
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├── LICENSE
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├── data/
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│ └── test.jsonl
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├── fixtures/
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├── manifest.json
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├── private_eval_commitment.json
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├── submission.schema.json
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└── .gitattributes
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```
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| Path | Description |
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|---|---|
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| `README.md` | Dataset Card: scientific scope, task distribution, runtime requirements, scoring summary, and release boundaries. |
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| `LICENSE` | Apache-2.0 license for MATTER-owned content. It does not license excluded VASP POTCAR files or third-party PDFs. |
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| `data/test.jsonl` | The 604 evaluation tasks, one JSON object per line. Each record contains only `task_id`, `capability`, `domain`, `prompt`, `tags`, and `data_files`. |
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| `fixtures/` | 238 redistributable task inputs declared by 147 tasks, including crystal structures, simulation inputs, spectra, electrochemical data, tabular data, and small model/test files. |
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| `manifest.json` | Machine-readable release identity: task count, task-ID hash, fixture counts, hidden fields, missing-input status, license, and closed-source-runtime exclusion. |
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| `private_eval_commitment.json` | A whole-tree SHA-256 commitment to the canonical 604-task private evaluator. It identifies the scoring version without exposing answers or file-level hashes. |
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| `submission.schema.json` | JSON Schema for third-party submissions: final answer, artifact paths and hashes, optional trace path, and Agent/model/prompt metadata. |
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| `.gitattributes` | Hugging Face repository transport metadata added by the Hub; it is not part of the scientific benchmark content. |
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The 147 tasks with declared inputs contain 254 file references to 244 unique
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logical paths. Of these, 238 files are bundled under `fixtures/`; six restricted
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inputs are represented only by their identity, SHA-256, size, restriction reason,
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source, and lawful acquisition instructions.
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## Capability distribution
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The capability label describes the main research action being evaluated. A task
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can exercise supporting skills in addition to its primary label.
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| Capability | Tasks | Share | What is evaluated |
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|---|---:|---:|---|
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| `input_generation` | 164 | 27.2% | Producing scientifically consistent inputs for codes such as VASP, ABACUS, CP2K, LAMMPS, GROMACS, ORCA, DP-GEN, and GPUMD. |
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| `workflow_orchestration` | 138 | 22.8% | Organizing multi-step modelling or calculation workflows, remote jobs, state transitions, recovery, and result collection. |
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| `scientific_analysis` | 95 | 15.7% | Extracting and interpreting materials properties from structures, energies, spectra, trajectories, electrochemical data, and other scientific outputs. |
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| `structure_construction` | 84 | 13.9% | Building chemically and crystallographically meaningful bulk, molecular, surface, interface, defect, and other atomistic models. |
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| `structure_retrieval` | 49 | 8.1% | Finding, selecting, converting, and validating material or molecular structures from databases and supplied sources. |
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| `execution_contract` | 46 | 7.6% | Respecting requested methods and constraints, checking feasibility, handling infrastructure limitations, and avoiding silent substitutions or unsupported claims. |
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| `data_diagnosis` | 18 | 3.0% | Identifying malformed inputs, inconsistent metadata, convergence failures, corrupted outputs, and scientifically invalid intermediate states. |
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| `safety_refusal` | 6 | 1.0% | Refusing unsafe, unauthorized, deceptive, or scientifically unjustified operations while explaining the boundary. |
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| `batch_processing` | 4 | 0.7% | Managing related task sets, controlled parameter sweeps, consistent batch inputs, and batch-level failure recovery. |
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| **Total** | **604** | **100%** | |
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## Domain distribution
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The domain label identifies the main materials context. `agnostic` covers
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cross-domain scientific-software and research-operation tasks rather than a
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separate material class.
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| Domain | Tasks | Share | Scope |
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|---|---:|---:|---|
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| `agnostic` | 467 | 77.3% | General atomistic modelling, electronic-structure, molecular simulation, data analysis, scientific software, and platform operations. |
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| `battery` | 59 | 9.8% | Electrodes, electrolytes, ion transport, cycling data, interphases, and battery-oriented simulations. |
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| `semiconductor` | 27 | 4.5% | Electronic structure, dielectric response, defects, band properties, and semiconductor materials. |
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| `catalysis` | 19 | 3.1% | Surfaces, adsorption, reaction energetics, electrocatalysis, and catalytic screening. |
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| `polymer` | 19 | 3.1% | Polymer and molecular materials, force fields, conformations, membranes, and polymer simulations. |
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| `alloy` | 13 | 2.2% | Alloy structures, ordering, solid solutions, magnetic states, and alloy-property workflows. |
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| **Total** | **604** | **100%** | |
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## Splits
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`data/test.jsonl` contains the 604 evaluation questions. The test labels are
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